OpenStack, Docker, and Cloud Foundry are the three most popular open source projects according to a recent cloud software survey. Docker has taken the cloud world by storm as a revolutionary way to not only run isolated application containers, but also to package them. But how does Docker fit into the paradigm of IaaS and PaaS? More specifically, how does it integrate with OpenStack and Cloud Foundry, the world's most popular infrastructure and platform service implementations? OpenStack, Docker, and Cloud Foundry are the three most popular open source projects according to a recent cloud software survey. Docker has taken the cloud world by storm as a revolutionary way to not only run isolated application containers, but also to package them. But how does Docker fit into the paradigm of IaaS and PaaS? More specifically, how does it integrate with OpenStack and Cloud Foundry, the world's most popular infrastructure and platform service implementations?
These charts from our OpenStack Summit talk Vancouver talk how the three leading open source cloud technologies are evolving to work together to support next generation workloads!
As a Service: Cloud Foundry on OpenStack - Lessons LearntAnimesh Singh
According to OpenStack users survey, Cloud Foundry is the 2nd most popular workload on OpenStack. You want to deploy Cloud Foundry on OpenStack or already have. What's next?
Cloud Foundry continues to evolve with revolutionary changes, e.g move from bosh-micro to bosh-init, using the new eCPI, move to Diego etc.
Same with OpenStack, e.g changes from Keystone v2 to v3, from Liberty to Mitaka, network plugins changes etc. Both IaaS and PaaS layers are changing frequently. How do you do in-place updates/upgrades/operational tasks without impacting user experience at both the layers?
In this talk will discuss our lessons learnt operating hybrid Cloud Foundry deployments on top of OpenStack over the last two years and how we used underlying technologies to seamlessly operate them
Cloud Foundry Integration with Openstack and Docker. Briefly describes the essential elements for the integration of trios. Covered in a 30 minute session at Bangalore Cloud Foundry Meetup.
The Cloud Foundry Bootcamp document provides an overview of a Cloud Foundry bootcamp presented in Portland in 2012. It was written by Chris Richardson and presented by Monica Wilkinson and Josh Long. The agenda covers why Platform as a Service (PaaS) matters to developers, an overview of Cloud Foundry, getting started with Cloud Foundry, the Cloud Foundry architecture, using Micro Cloud Foundry, and consuming Cloud Foundry services.
Cloud Foundry and OpenStack – Marriage Made in Heaven !Animesh Singh
Cloud Foundry Summit 2014 Presentation: Bring the world's best IaaS to the world's best PaaS, In this talk IBM and Rackspace are going to share their experiences of running Cloud Foundry on OpenStack. The talk will focus on how CloudFoundry and OpenStack complement each other, how they technically integrate using Cloud provider interface (CPI), how could we automate OpenStack setup for Cloud Foundry deployments, and what are some of the best practices for configuring a scalable environment.
Cloud Foundry and OpenStack - A Marriage Made in Heaven! (Cloud Foundry Summi...VMware Tanzu
Business Track presented by Animesh Singh, Lead Architect and Strategist at IBM.
Bring the world's best IaaS to the world's best PaaS, In this talk IBM and Rackspace are going to share their experiences of running Cloud Foundry on OpenStack. The talk will focus on how CloudFoundry and OpenStack complement each other, how they technically integrate using Cloud provider interface (CPI), how could we automate OpenStack setup for Cloud Foundry deployments, and what are some of the best practices for configuring a scalable environment.
Cloudfoundry is an open source Platform as a Service (PaaS) that provides a variety of services for developing, deploying, and scaling applications. It uses a microservices architecture and containers to deploy applications. Developers can push applications to Cloudfoundry which will then store the application bits, track metadata, and direct a Droplet Execution Agent node to stage and run the application. Cloudfoundry also provides a marketplace of services that applications can use like databases through service instances. It implements role-based access control with organizations, spaces, and roles to control access and permissions.
Cloud Foundry Technical Overview at IBM Interconnect 2016Stormy Peters
Cloud Foundry is an open source platform that allows developers to build, deploy, and manage cloud applications. It provides tools for continuous integration, deployment, and scaling of applications. The platform handles tasks like provisioning infrastructure, load balancing, and managing services so developers can focus on their code. Cloud Foundry uses containers and a buildpack system to make applications portable and scalable across different cloud environments.
Optimizing Cloud Foundry and OpenStack for large scale deploymentsAnimesh Singh
This document discusses optimizing OpenStack for large scale Cloud Foundry deployments. It provides an overview of integrating Cloud Foundry with OpenStack including requirements, the BOSH deployment process, the OpenStack CPI, and automation opportunities around discovery, deployment, and stemcell handling. It also discusses scaling Cloud Foundry on OpenStack and optimizing deployments by increasing API rate limits and BOSH's NATS timeout.
Cloud Foundry is an open platform as a service that allows developers to deploy and scale applications in seconds without locking themselves into a single cloud. It provides choice of development frameworks, deployment clouds, and application services. Cloud Foundry is used by developers to focus on writing applications rather than infrastructure management. It allows writing applications once and deploying to private or public clouds without code changes.
WebSphere Application Server Liberty Profile and DockerDavid Currie
Docker is a tool that allows applications to be run in isolated containers. The document discusses Docker and its popularity, benefits including consistency and speed. It provides an overview of Docker concepts like images, containers and registries. It then discusses IBM's involvement with Docker including contributions to projects and products that support Docker. Finally, it covers using the WebSphere Application Server Liberty Profile with Docker, including building and running Docker images for Liberty.
WebSphere Application Server Liberty Profile and DockerDavid Currie
Presentation from IBM InterConnect 2015 covering a brief introduction to Docker, the relationship between IBM and Docker, and then using WebSphere Application Server Liberty Profile under Docker.
Automated Lifecycle Management - CloudFoundry on OpenStackAnimesh Singh
This document discusses integrating Cloud Foundry and OpenStack. It describes how open source tools like Chef, Fog, BOSH, and Ruby can be used to automate deploying Cloud Foundry on OpenStack, including automating lifecycle management tasks like updates and scaling. The document argues that Cloud Foundry and OpenStack are a good fit since they are both open source and their communities can help automate integration and management.
Building a PaaS Platform like Bluemix on OpenStackAnimesh Singh
The document discusses building IBM Bluemix on OpenStack using IBM Cloud Manager. Key points include:
- Bluemix is IBM's Platform as a Service offering that allows developers to focus on code by providing integrated services and tools.
- IBM Cloud Manager with OpenStack extends OpenStack to manage heterogeneous environments and simplify deployment. It will be used to deploy Bluemix on OpenStack.
- BOSH will be used for deployment and lifecycle management of Bluemix on OpenStack. It leverages OpenStack APIs to deploy VMs from stemcells and manage the health of processes and VMs.
Cloud Foundry Diego: The New Cloud Runtime - CloudOpen Europe Talk 2015David Soul
The document describes Cloud Foundry Diego, a new container-based runtime for Cloud Foundry that supports running heterogeneous workloads like Docker containers, .NET applications, and tasks on different infrastructure environments. Some key points:
- Diego is an extensible, distributed system that orchestrates and schedules containerized applications and tasks across Linux and Windows container execution nodes.
- It introduces new abstractions like tasks for running single units of work, and long-running processes. These can be distributed across cells for high availability.
- The runtime aims to support running Docker images, .NET applications natively on Windows cells, as well as traditional Cloud Foundry apps, through platform-neutral APIs.
- Developers
IBM WebSphere Application Server traditional and DockerDavid Currie
IBM WebSphere Application Server can run in both traditional and Docker environments. Docker provides benefits like consistency across environments, faster build and deployment, higher server density, and separation of concerns between development and operations. IBM supports WebSphere Liberty and traditional editions running in Docker containers. Dockerfiles are available to build WebSphere images containing application servers, deployment managers, and other software components. Organizations can use Docker to improve the deployment and management of WebSphere environments.
Developing Enterprise Applications for the Cloud,from Monolith to MicroservicesDavid Currie
Presented at IBM InterConnect 2105. Is your next enterprise application ready for the cloud? Do you know how to build the kind of low-latency, highly available, highly scalable, omni-channel, micro-service modern-day application that customers expect? This introductory presentation will cover what it takes to build such an application using the multiple language runtimes and composing services offered on IBM Bluemix cloud.
This document discusses Cloud Foundry, an open platform as a service (PaaS). It begins with introductions of the author Andy Piper and his role as a Cloud Foundry developer advocate. It then discusses why an open cloud platform is important, defining Cloud Foundry and its key characteristics like being open source and deployable on various clouds. It covers Java support on Cloud Foundry including buildpacks and how various Java applications and frameworks are detected and run. It emphasizes the flexibility and portability Cloud Foundry provides for Java applications.
Altoros Cloud Foundry Training: hands-on workshop for DevOps, Architects and ...Manuel Garcia
Dealing with high-load services of all kinds makes us to seek for new generation tools to build reliable, scalable, and 100% available systems. At this workshop, you will have chance to dive deep into how Cloud Foundry solves the issues of portability, scalability, reliability and extensibility.
Hands-on agenda:
- Application lifecycle: from development to production
- Deep dive into Cloud Foundry architecture
- Where to deploy Cloud Foundry
- How to Deploy Cloud Foundry: from small evaluation to hundreds VMs High Availability production environments
- Scale up and down your infrastructure. Can you auto scale?
- Zero downtime upgrades
- Auto Healing deployments
- Cloud Foundry system logging and monitoring
- Services: types, current restrictions and expectations
The document is an agenda for a Watson on Bluemix meetup. It includes:
- An overview of Bluemix runtime, services, and DevOps architecture by Animesh Singh.
- A discussion of Watson Cloud and Cognitive Services by Anthony Stevens.
- A demo of a Watson application by Wade Barnes, who will walk through deploying a Node.js app on Bluemix that uses the Watson User Modeling service.
Cloud Foundry is an open source cloud platform that provides developers with choice in frameworks, services, and deployment locations. It allows for high developer agility and optimized software delivery across public, private and hybrid clouds. Cloud Foundry supports various programming languages and frameworks. Developers can access services like databases through the VCAP_SERVICES environment variable. While auto-scaling is not built-in, third parties provide dynamic scaling options. Cloud Foundry can be run locally through Micro Cloud Foundry for development and testing purposes.
Presentation given to the UK WebSphere User Group on 24 April 2016 giving a recap and update on integration between WebSphere Application Server and Docker. It covers both Liberty and the traditional application server.
The document discusses Platform as a Service (PaaS) and Cloud Foundry, an open source PaaS. Cloud Foundry allows developers to deploy and scale applications in seconds across clouds without vendor lock-in. It provides choice of development frameworks, deployment targets, and application services. Cloud Foundry has seen broad adoption due to its support for developer agility and portability across private and public clouds. It has also gained popularity through its open governance model and large, production-grade deployments.
AAI-3218 Production Deployment Best Practices for WebSphere Liberty ProfileWASdev Community
This document provides best practices for configuring and deploying WebSphere Liberty Profile in a production environment. It discusses profile configuration, topologies and practices including standalone, collective, and z/OS integration. It also covers application deployment using server packages, build pipelines, and upgrades. Management configuration topics include high availability, security, dynamic routing, auto-scaling, and Admin-metadata. Finally, it discusses sizing considerations and when multiple collectives may be needed.
Cloud Foundry is an open platform as a service (PaaS) that supports building, deploying, and scaling applications. It uses a loosely coupled, distributed architecture with no single point of failure. The core components include cloud controllers, stagers, routers, execution agents, and services that communicate asynchronously through messaging. This allows the components to be scaled independently and provides a self-healing system.
This presentation covers both the Cloud Foundry Elastic Runtime (known by many as just "Cloud Foundry") as well as the Operations Manager (known by many as BOSH). For each, the main components are covered with interactions between them.
Build Scalable Internet of Things Apps using Cloud Foundry, Bluemix & CloudantAnimesh Singh
5 billion people vs 50 billion devices connected to the Internet by 2025 - How can we build application to handle this explosive growth in Internet of Things using Cloud Foundry, Bluemix and Cloudant
Optimizing Cloud Foundry and OpenStack for large scale deploymentsAnimesh Singh
This document discusses optimizing OpenStack for large scale Cloud Foundry deployments. It provides an overview of integrating Cloud Foundry with OpenStack including requirements, the BOSH deployment process, the OpenStack CPI, and automation opportunities around discovery, deployment, and stemcell handling. It also discusses scaling Cloud Foundry on OpenStack and optimizing deployments by increasing API rate limits and BOSH's NATS timeout.
Cloud Foundry is an open platform as a service that allows developers to deploy and scale applications in seconds without locking themselves into a single cloud. It provides choice of development frameworks, deployment clouds, and application services. Cloud Foundry is used by developers to focus on writing applications rather than infrastructure management. It allows writing applications once and deploying to private or public clouds without code changes.
WebSphere Application Server Liberty Profile and DockerDavid Currie
Docker is a tool that allows applications to be run in isolated containers. The document discusses Docker and its popularity, benefits including consistency and speed. It provides an overview of Docker concepts like images, containers and registries. It then discusses IBM's involvement with Docker including contributions to projects and products that support Docker. Finally, it covers using the WebSphere Application Server Liberty Profile with Docker, including building and running Docker images for Liberty.
WebSphere Application Server Liberty Profile and DockerDavid Currie
Presentation from IBM InterConnect 2015 covering a brief introduction to Docker, the relationship between IBM and Docker, and then using WebSphere Application Server Liberty Profile under Docker.
Automated Lifecycle Management - CloudFoundry on OpenStackAnimesh Singh
This document discusses integrating Cloud Foundry and OpenStack. It describes how open source tools like Chef, Fog, BOSH, and Ruby can be used to automate deploying Cloud Foundry on OpenStack, including automating lifecycle management tasks like updates and scaling. The document argues that Cloud Foundry and OpenStack are a good fit since they are both open source and their communities can help automate integration and management.
Building a PaaS Platform like Bluemix on OpenStackAnimesh Singh
The document discusses building IBM Bluemix on OpenStack using IBM Cloud Manager. Key points include:
- Bluemix is IBM's Platform as a Service offering that allows developers to focus on code by providing integrated services and tools.
- IBM Cloud Manager with OpenStack extends OpenStack to manage heterogeneous environments and simplify deployment. It will be used to deploy Bluemix on OpenStack.
- BOSH will be used for deployment and lifecycle management of Bluemix on OpenStack. It leverages OpenStack APIs to deploy VMs from stemcells and manage the health of processes and VMs.
Cloud Foundry Diego: The New Cloud Runtime - CloudOpen Europe Talk 2015David Soul
The document describes Cloud Foundry Diego, a new container-based runtime for Cloud Foundry that supports running heterogeneous workloads like Docker containers, .NET applications, and tasks on different infrastructure environments. Some key points:
- Diego is an extensible, distributed system that orchestrates and schedules containerized applications and tasks across Linux and Windows container execution nodes.
- It introduces new abstractions like tasks for running single units of work, and long-running processes. These can be distributed across cells for high availability.
- The runtime aims to support running Docker images, .NET applications natively on Windows cells, as well as traditional Cloud Foundry apps, through platform-neutral APIs.
- Developers
IBM WebSphere Application Server traditional and DockerDavid Currie
IBM WebSphere Application Server can run in both traditional and Docker environments. Docker provides benefits like consistency across environments, faster build and deployment, higher server density, and separation of concerns between development and operations. IBM supports WebSphere Liberty and traditional editions running in Docker containers. Dockerfiles are available to build WebSphere images containing application servers, deployment managers, and other software components. Organizations can use Docker to improve the deployment and management of WebSphere environments.
Developing Enterprise Applications for the Cloud,from Monolith to MicroservicesDavid Currie
Presented at IBM InterConnect 2105. Is your next enterprise application ready for the cloud? Do you know how to build the kind of low-latency, highly available, highly scalable, omni-channel, micro-service modern-day application that customers expect? This introductory presentation will cover what it takes to build such an application using the multiple language runtimes and composing services offered on IBM Bluemix cloud.
This document discusses Cloud Foundry, an open platform as a service (PaaS). It begins with introductions of the author Andy Piper and his role as a Cloud Foundry developer advocate. It then discusses why an open cloud platform is important, defining Cloud Foundry and its key characteristics like being open source and deployable on various clouds. It covers Java support on Cloud Foundry including buildpacks and how various Java applications and frameworks are detected and run. It emphasizes the flexibility and portability Cloud Foundry provides for Java applications.
Altoros Cloud Foundry Training: hands-on workshop for DevOps, Architects and ...Manuel Garcia
Dealing with high-load services of all kinds makes us to seek for new generation tools to build reliable, scalable, and 100% available systems. At this workshop, you will have chance to dive deep into how Cloud Foundry solves the issues of portability, scalability, reliability and extensibility.
Hands-on agenda:
- Application lifecycle: from development to production
- Deep dive into Cloud Foundry architecture
- Where to deploy Cloud Foundry
- How to Deploy Cloud Foundry: from small evaluation to hundreds VMs High Availability production environments
- Scale up and down your infrastructure. Can you auto scale?
- Zero downtime upgrades
- Auto Healing deployments
- Cloud Foundry system logging and monitoring
- Services: types, current restrictions and expectations
The document is an agenda for a Watson on Bluemix meetup. It includes:
- An overview of Bluemix runtime, services, and DevOps architecture by Animesh Singh.
- A discussion of Watson Cloud and Cognitive Services by Anthony Stevens.
- A demo of a Watson application by Wade Barnes, who will walk through deploying a Node.js app on Bluemix that uses the Watson User Modeling service.
Cloud Foundry is an open source cloud platform that provides developers with choice in frameworks, services, and deployment locations. It allows for high developer agility and optimized software delivery across public, private and hybrid clouds. Cloud Foundry supports various programming languages and frameworks. Developers can access services like databases through the VCAP_SERVICES environment variable. While auto-scaling is not built-in, third parties provide dynamic scaling options. Cloud Foundry can be run locally through Micro Cloud Foundry for development and testing purposes.
Presentation given to the UK WebSphere User Group on 24 April 2016 giving a recap and update on integration between WebSphere Application Server and Docker. It covers both Liberty and the traditional application server.
The document discusses Platform as a Service (PaaS) and Cloud Foundry, an open source PaaS. Cloud Foundry allows developers to deploy and scale applications in seconds across clouds without vendor lock-in. It provides choice of development frameworks, deployment targets, and application services. Cloud Foundry has seen broad adoption due to its support for developer agility and portability across private and public clouds. It has also gained popularity through its open governance model and large, production-grade deployments.
AAI-3218 Production Deployment Best Practices for WebSphere Liberty ProfileWASdev Community
This document provides best practices for configuring and deploying WebSphere Liberty Profile in a production environment. It discusses profile configuration, topologies and practices including standalone, collective, and z/OS integration. It also covers application deployment using server packages, build pipelines, and upgrades. Management configuration topics include high availability, security, dynamic routing, auto-scaling, and Admin-metadata. Finally, it discusses sizing considerations and when multiple collectives may be needed.
Cloud Foundry is an open platform as a service (PaaS) that supports building, deploying, and scaling applications. It uses a loosely coupled, distributed architecture with no single point of failure. The core components include cloud controllers, stagers, routers, execution agents, and services that communicate asynchronously through messaging. This allows the components to be scaled independently and provides a self-healing system.
This presentation covers both the Cloud Foundry Elastic Runtime (known by many as just "Cloud Foundry") as well as the Operations Manager (known by many as BOSH). For each, the main components are covered with interactions between them.
Build Scalable Internet of Things Apps using Cloud Foundry, Bluemix & CloudantAnimesh Singh
5 billion people vs 50 billion devices connected to the Internet by 2025 - How can we build application to handle this explosive growth in Internet of Things using Cloud Foundry, Bluemix and Cloudant
Cloud foundry architecture and deep diveAnimesh Singh
This document provides an overview of the key components of Cloud Foundry, including:
- The Cloud Controller which manages application deployments, services, user roles, and more.
- Buildpacks which stage and compile applications to create droplets run by DEAs on VMs.
- DEAs which manage application container lifecycles using Warden containers for isolation.
- Routers which route traffic to applications and maintain dynamic routing tables.
- Services which provide interfaces to both native and 3rd party services running on Service Nodes.
- UAA which handles user authentication, authorization, and manages OAuth access credentials.
It also describes how organizations and spaces segment the platform and how domains
How to build a Distributed Serverless Polyglot Microservices IoT Platform us...Animesh Singh
When people aren't talking about VMs and containers, they're talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT.
In this session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, detailed how to build a distributed serverless, polyglot, microservices framework using open source technologies like:
OpenWhisk: Open source distributed compute service to execute application logic in response to events
Docker: To run event driven actions 6. Ansible and BOSH: to deploy the serverless platform
MQTT: Messaging protocol for IoT
Node-RED: Tool to wire IoT together
Consul: Tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.
Kafka: A high-throughput distributed messaging system.
StatsD/ELK/Graphite: For statistics, monitoring and logging
Configuration management tools like Chef, Puppet, and Ansible aim to reduce inconsistencies by imposing and managing consistent configurations across environments. However, they do not fully address issues related to dependencies, isolation, and portability. Docker containers build on these tools by adding standard interfaces and a lightweight virtualization layer that encapsulates code and dependencies, allowing applications and their environments to be packaged together and run consistently on any infrastructure while also providing isolation.
Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
OpenStack is an open source cloud computing platform that consists of a series of related projects that control large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. It is developed as an open source project by an international community of developers and corporate sponsors and supports both private and public cloud deployments. Major components include compute (Nova), object storage (Swift), image service (Glance), networking (Quantum), and an identity service (Keystone).
Presentation of OpenStack survey to Internet Research Lab at National Taiwan University, Taiwan. OpenStack framework and architecture overview. (ppt slide for download.) Materials collected from various resources, not originally produced by the author.
Briefly explained Nova, Swift, Glance, Keystone, and Quantum.
Finding and-organizing Great Cloud Foundry User GroupsAnimesh Singh
This document discusses organizing and participating in Cloud Foundry user groups. It provides tips for finding existing groups on Meetup.com, deciding whether to start a new group, planning events with good speakers and content, promoting events, and sustaining a group over time. Organizing groups can help technology adoption, build skills and networks, and find job opportunities. Successful events have relevant content, great speakers, good venues, and high attendance.
How to build an event-driven, polyglot serverless microservices framework on ...Animesh Singh
Serverless cloud platforms are a major trend in 2016. Following on from Amazon’s Lambda service, released last year, this year has seen Google, IBM and Microsoft all launch their own solutions. Serverless microservices are executed on-demand, in milliseconds, rather than having to sit idle waiting. Users pay only for the raw computation time used.
In this talk detail how to build a distributed serverless, event-driven, microservices framework on OpenStack
Cloudfoundry is the open platform as a service providing a faster and easier way to build, test, deploy and scale applications.Deploy & Scale in seconds on your choice of clouds.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Containers are not virtual machines - they have fundamentally different architectures and benefits. Docker allows users to build, ship, and run applications inside containers. It provides tools and a platform to manage the lifecycle of containerized applications, from development to production. Containers use layers and copy-on-write to provide efficient application isolation and delivery.
OpenStack is an open source cloud project and community with broad commercial and developer support. OpenStack is currently developing two interrelated technologies: OpenStack Compute and OpenStack Object Storage. OpenStack Compute is the internal fabric of the cloud creating and managing large groups of virtual private servers and OpenStack Object Storage is software for creating redundant, scalable object storage using clusters of commodity servers to store terabytes or even petabytes of data. In this tutorial, Bret Piatt will explain how to deploy OpenStack Compute and Object Storage, including an overview of the architecture and technology requirements.
This document provides an overview of OpenStack, an open source cloud computing platform. It discusses the history and origins of OpenStack at NASA and Rackspace, describes some of the core components including Nova (compute), Swift (object storage), Glance (image service), Cinder (block storage), Quantum/Neutron (networking), Keystone (identity), and Dashboard (web UI). It also outlines some key features of these components such as distributed architecture, API access, security groups, floating IPs, and pluggable networking backends. Finally, it encourages contributions to the OpenStack community through coding, documentation, translation, and other assistance.
Continuous Delivery of Cloud Applications with Docker Containers and IBM BluemixFlorian Georg
This document discusses continuous delivery of cloud applications using Docker containers on IBM Bluemix. It provides an overview of benefits of continuous delivery such as increased stability. It then discusses why containers and cloud PaaS platforms are useful for application development. It also demonstrates how to use the IBM Container Service to build, deploy and manage containerized applications on Bluemix through features like private registries, container groups, public IP binding, storage and integration with Cloud Foundry services. The document includes code samples and discusses using a delivery pipeline with Bluemix DevOps services to enable continuous deployment through staging and production environments.
.docker : How to deploy Digital Experience in a container, drinking a cup of ...ICON UK EVENTS Limited
Matteo Bisi / Factor-y srl
Andrea Fontana / SOWRE SA
Docker is one of best technologies available on market to install and run and deploy application fastest , securely like never before. In this session you will see how to deploy a complete digital experience inside containers that will enable you to deploy a Portal drinking a cup of coffee. We will start from a deep overview of docker: what is docker, where you can find that, what is a container and why you should use container instead a complete Virtual Machine. After the overview we will enter inside how install IBM software inside a container using docker files that will run the setup using silent setup script. At last part we will talk about possible use of this configuration in real work scenario like staging or development environment or in WebSphere Portal farm setup.
docker : how to deploy Digital Experience in a container drinking a cup of co...Matteo Bisi
This document discusses deploying IBM Social Software in Docker containers. It begins with introductions of the authors and their backgrounds. It then provides an overview of Docker, including its key components like Docker Engine, Machine, and registry. The document discusses using Docker to package and deploy IBM software like WebSphere Application Server and DB2. It provides a Dockerfile example for installing WAS 9 in a container through silent installation. The document concludes with links to additional Docker and IBM resources.
.docker : how to deploy Digital Experience in a container drinking a cup of c...Andrea Fontana
This document discusses deploying digital experiences using Docker containers. It provides background on Docker, describing it as a way to package and ship software applications. It outlines key Docker components like the Docker Engine, Docker Machine, and Docker Registry. It then discusses how IBM supports Docker, including on platforms like Bluemix, zSystems, and PureApplication. Finally, it provides guidance on creating Docker images for IBM social software, covering preparing installations scripts and using Dockerfiles to automate the image creation process.
Docker allows applications to be packaged into standardized units called containers that can run on any infrastructure. IBM Bluemix supports Docker containers and provides services for building, managing, and hosting containerized applications in a hybrid cloud environment. Key benefits of Docker containers include increased portability and efficiency in development and deployment across physical and cloud infrastructure.
Cloud Foundry and OpenStack: How They Fit - Cloud Expo 2014Jason Anderson
This document discusses Cloud Foundry and OpenStack, two open source cloud platforms. It describes what each platform is and its architecture. Cloud Foundry is an open platform for building, deploying, and running applications, while OpenStack is an infrastructure for managing compute, storage, and networking resources. The document proposes that Cloud Foundry and OpenStack are a good fit because they are both open source, their communities can collaborate on automation tools, and OpenStack can provide the infrastructure required to handle Cloud Foundry's scale.
Hitchhiker's guide to Cloud-Native Build Pipelines and Infrastructure as CodeRobert van Mölken
As more and more application deployments move to the cloud the scale and complexity becomes harder to manage. Instead of a handful of large instances, you might have many smaller instances, so there are many more things you need to provision. Because of this cloud vendors provide API abstraction of their compute, storage, network and other platform services. In this talk I present a guide to provision these services, such as a Kubernetes cluster, using infrastructure as code and deploy your applications through cloud-native build pipelines. Get to know the concepts behind these DevOps practices and come hear which tools to use like Terraform and Oracle Container Pipelines to automate these laborious tasks on the Oracle Cloud Infrastructure.
Docker is an open source containerization platform that allows users to package applications and their dependencies into standardized executable units called containers. Docker relies on features of the Linux kernel like namespaces and cgroups to provide operating-system-level virtualization and allow containers to run isolated on a shared kernel. This makes Docker highly portable and allows applications to run consistently regardless of the underlying infrastructure. Docker uses a client-server architecture where the Docker Engine runs in the cloud or on-premises and clients interact with it via Docker APIs or the command line. Common commands include build to create images from Dockerfiles, run to launch containers, and push/pull to distribute images to registries. Docker is often used for microservices and multi-container
The ABC of Docker: The Absolute Best Compendium of DockerAniekan Akpaffiong
Containers provide a lightweight virtualization approach compared to virtual machines. Containers share the host operating system kernel and isolate applications at the process level, while virtual machines run a full guest operating system and require hypervisor software. Containers have a smaller footprint and overhead than virtual machines since they share resources more efficiently. Both containers and virtual machines provide portability and isolation benefits for applications.
This document provides an overview of containers and container networking. It begins with defining containers and their advantages over virtual machines. It then discusses the container ecosystem including key projects like Docker, CoreOS, and the Open Container Initiative. The document reviews container orchestration systems like Kubernetes, Docker Swarm, and Mesos. It concludes with a demo of OpenStack and containers and a discussion of containers on Cisco platforms.
A lecture to the students of the University College Cork 3rd year Undergraduate Computer Science class, CS3311 Middleware module, on the IBM Cloud. The presentation provides a technical overview of the different technologies that can be used to deploy applications on the IBM Cloud (formerly known as IBM Bluemix) - Cloud Foundry applications and services, Docker containers, and Kubernetes clusters.
VMware is introducing new platforms to better support cloud-native applications, including containers. The Photon Platform is a lightweight, API-driven control plane optimized for massive scale container deployments. It includes Photon OS, a lightweight Linux distribution for containers. vSphere Integrated Containers allows running containers alongside VMs on vSphere infrastructure for a unified hybrid approach. Both aim to provide the portability and agility of containers while leveraging VMware's management capabilities.
Cloud Native Application @ VMUG.IT 20150529VMUG IT
VMware and Pivotal are working together to provide an end-to-end solution for developing and running cloud-native applications. Key components of their solution include Photon OS, Lightwave for identity and access management, and Lattice for deploying and managing container clusters. Photon is a container-optimized Linux distribution designed to run Docker containers on vSphere. Lightwave provides open source identity and authentication capabilities. Lattice combines scheduling, routing, and logging from Cloud Foundry to manage clustered container applications. Together these provide an integrated platform for developing, securing, and managing cloud-native applications from development to production.
Understanding Docker and IBM Bluemix Container ServiceAndrew Ferrier
The document provides an overview of Docker and IBM Bluemix Container Service. It begins with explaining what Docker is, how it differs from virtual machines, and why it is useful. It then discusses what IBM Bluemix is and how it provides different compute models including containers. The document explains that IBM Bluemix Container Service (formerly IBM Containers) is based on Docker and provides features like persistent storage, integrated monitoring and logging, and works with the IBM Bluemix DevOps toolchain. It notes that Container Service will evolve to use Kubernetes as the runtime engine to provide additional capabilities like declarative topologies, self-healing, and service discovery.
This document provides an introduction and overview of containers, Kubernetes, IBM Container Service, and IBM Cloud Private. It discusses how microservices architectures break monolithic applications into smaller, independently developed services. Containers are presented as a standard way to package applications to move between environments. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. IBM Cloud Container Service and IBM Cloud Private are then overviewed as platforms that combine Docker and Kubernetes to enable deployment of containerized applications on IBM Cloud infrastructure.
How to build "AutoScale and AutoHeal" systems using DevOps practices by using modern technologies.
A complete build pipeline and the process of architecting a nearly unbreakable system were part of the presentation.
These slides were presented at 2018 DevOps conference in Singapore. http://claridenglobal.com/conference/devops-sg-2018/
My college ppt on topic Docker. Through this ppt, you will understand the following:- What is a container? What is Docker? Why its important for developers? and many more!
This document provides an overview of Docker and Michel Courtine's role at Docker Inc. It discusses Docker's mission to build tools for mass innovation and how Docker aims to enable a software layer to program the internet. It also highlights key Docker technologies like containers, images, and orchestration tools and how Docker is being used across various industries and platforms.
first explains what paas is and then execute helloworld in cloudfoundry which is a vmware paas solution then explain what containerization is the what docker is and how to execute hell world in a docker container
Machine Learning Exchange (MLX) is a catalog and execution engine for AI assets including pipelines, models, datasets and notebooks. It allows users to upload, register, execute and deploy these assets. MLX generates sample pipeline code and uses Kubeflow Pipelines powered by Tekton as its pipelines engine. It integrates with services like KFServing for model serving, Dataset Lifecycle Framework for data management, and MAX/DAX for pre-registered datasets and models. MLX provides APIs, UI and SDK to interact with these AI assets.
KFServing Payload Logging for Trusted AIAnimesh Singh
This document discusses approaches for adding trust, transparency and accountability to AI models deployed with KFServing. It proposes integrating open-source explainability, fairness and adversarial robustness tools like AIX360, AIF360 and ART to analyze model payloads and provide explanations. The tools would calculate metrics from logged predictions to detect bias or anomalies. Designs are presented for capturing events from KFServing in brokers like Kafka for offline processing. This would allow auditing models over time to ensure trusted performance.
The document discusses a Kubeflow Pipelines component for Kubeflow Serving (KFServing) that allows usage of KFServing within Kubeflow Pipelines. The component uses the KFServing Python package and API to deploy InferenceServices and perform canary rollouts. A sample pipeline is shown that uses the component to deploy a TensorFlow model. The document also analyzes the component and discusses passing InferenceService YAML as the most flexible way to deploy models with full customizability.
1. KFServing and Feast provide capabilities for serving machine learning models and managing features respectively.
2. The Feast feature store is proposed as a new type of transformer for KFServing to preprocess requests by retrieving online features from Feast to augment the input for models.
3. This would allow models deployed using KFServing to leverage curated features stored in Feast for more accurate inferences.
Kubeflow provides several operators for distributed training including the TF operator, PyTorch operator, and MPI operator. The TF and PyTorch operators run distributed training jobs using the corresponding frameworks while the MPI operator allows for framework-agnostic distributed training. Katib is Kubeflow's built-in hyperparameter tuning service and provides a flexible framework for hyperparameter tuning and neural architecture search with algorithms like random search, grid search, hyperband, and Bayesian optimization.
Deep dive into Kubeflow Pipelines, and details about Tekton backend implementation for KFP, including compiler, logging, artifacts and lineage tracking
KFServing - Serverless Model InferencingAnimesh Singh
Deep dive into KFServing: Serverless Model Inferencing Platform built on top of KNative and Istio. Part of the Kubeflow project, and deployed in production across organizations.
End to end Machine Learning using Kubeflow - Build, Train, Deploy and ManageAnimesh Singh
This document discusses Kubeflow, an end-to-end machine learning platform for Kubernetes. It covers various Kubeflow components like Jupyter notebooks, distributed training operators, hyperparameter tuning with Katib, model serving with KFServing, and orchestrating the full ML lifecycle with Kubeflow Pipelines. It also talks about IBM's contributions to Kubeflow and shows how Watson AI Pipelines can productize Kubeflow Pipelines using Tekton.
Defend against adversarial AI using Adversarial Robustness Toolbox Animesh Singh
With great power comes great responsibility. Adversarial examples in AI pose an asymmetrical challenge with respect to attackers and defenders. AI developers must be empowered to defend deep neural networks against adversarial attacks and allow rapid crafting and analysis of attack and defense methods for machine learning models.
Animesh Singh and Tommy Li explain how to implement state-of-the-art methods for attacking and defending classifiers using the open source Adversarial Robustness Toolbox. The library provides AI developers with interfaces that support the composition of comprehensive defense systems using individual methods as building blocks. Animesh and Tommy then demonstrate how to use a Jupyter notebook to leverage attack methods from the Adversarial Robustness Toolbox (ART) into a model training pipeline. This notebook trains a CNN model on the Fashion MNIST dataset, and the generated adversarial samples are used to evaluate the robustness of the trained model.
Advanced Model Inferencing leveraging Kubeflow Serving, KNative and IstioAnimesh Singh
Model Inferencing use cases are becoming a requirement for models moving into the next phase of production deployments. More and more users are now encountering use cases around canary deployments, scale-to-zero or serverless characteristics. And then there are also advanced use cases coming around model explainability, including A/B tests, ensemble models, multi-armed bandits, etc.
In this talk, the speakers are going to detail how to handle these use cases using Kubeflow Serving and the native Kubernetes stack which is Istio and Knative. Knative and Istio help with autoscaling, scale-to-zero, canary deployments to be implemented, and scenarios where traffic is optimized to the best performing models. This can be combined with KNative eventing, Istio observability stack, KFServing Transformer to handle pre/post-processing and payload logging which consequentially can enable drift and outlier detection to be deployed. We will demonstrate where currently KFServing is, and where it's heading towards.
Hybrid Cloud, Kubeflow and Tensorflow Extended [TFX]Animesh Singh
Kubeflow Pipelines and TensorFlow Extended (TFX) together is end-to-end platform for deploying production ML pipelines. It provides a configuration framework and shared libraries to integrate common components needed to define, launch, and monitor your machine learning system. In this talk we describe how how to run TFX in hybrid cloud environments.
Trusted, Transparent and Fair AI using Open SourceAnimesh Singh
The document discusses IBM's efforts to bring trust and transparency to AI through open source. It outlines IBM's work on several open source projects focused on different aspects of trusted AI, including robustness (Adversarial Robustness Toolbox), fairness (AI Fairness 360), and explainability (AI Explainability 360). It provides examples of how bias can arise in AI systems and the importance of detecting and mitigating bias. The overall goal is to leverage open source to help ensure AI systems are fair, robust, and understandable through contributions to tools that can evaluate and improve trusted AI.
The document discusses various ways that bias can arise in artificial intelligence systems and machine learning models. It provides examples of bias found in facial recognition systems against dark-skinned women, sentiment analysis showing preference for some religions over others, and risk assessment algorithms used in criminal justice showing racial disparities. The document also discusses definitions of fairness and bias in machine learning. It notes there are at least 21 definitions of fairness and bias can be introduced during data handling and model selection in addition to through training data.
AI & Machine Learning Pipelines with KnativeAnimesh Singh
The document discusses the need for Knative to build cloud-native AI platforms. It describes that an AI lifecycle involves multiple iterative phases like data preparation, model training, deployment, and monitoring. It states that Kubernetes alone is not sufficient and that concepts like building, serving, eventing and pipelines are required to automate the end-to-end AI workflow. It introduces Knative as a set of building blocks on top of Kubernetes that provide these capabilities through custom resource definitions. Specifically, Knative provides capabilities for source-to-container builds, event delivery and subscription, request-driven scalable serving of models, and configuration of CI/CD-style pipelines for Kubernetes applications.
- Fabric for Deep Learning (FfDL) is an open source project that aims to make deep learning accessible and scalable across multiple frameworks like TensorFlow, Caffe, PyTorch, and Keras.
- FfDL provides a consistent way to deploy, train, and visualize deep learning jobs on Kubernetes clusters using microservices. This allows for resilience, scalability, and multi-tenancy.
- FfDL forms the core of IBM's deep learning service in Watson Studio, which provides tools to support the full AI workflow from designing models to deployment and monitoring.
Microservices, Kubernetes and Istio - A Great Fit!Animesh Singh
Microservices and containers are now influencing application design and deployment patterns. Sixty percent of all new applications will use cloud-enabled continuous delivery microservice architectures and containers. Service discovery, registration, and routing are fundamental tenets of microservices. Kubernetes provides a platform for running microservices. Kubernetes can be used to automate the deployment of Microservices and leverage features such as Kube-DNS, Config Maps, and Ingress service for managing those microservices. This configuration works fine for deployments up to a certain size. However, with complex deployments consisting of a large fleet of microservices, additional features are required to augment Kubernetes.
This document discusses cloud native, event-driven serverless applications using OpenWhisk microservices framework. It begins with an agenda that covers what it means to be cloud native, Twelve Factor Apps methodology for building apps, an overview of microservices, and developing and deploying microservices using OpenWhisk. The document then provides more details on each topic, including characteristics of cloud native apps, principles of Twelve Factor Apps, benefits and challenges of monolithic vs microservice architectures, and how OpenWhisk works to enable event-driven serverless applications.
CAPS: What's best for deploying and managing OpenStack? Chef vs. Ansible vs. ...Animesh Singh
Chef, Puppet, Ansible, and Salt are popular configuration management tools for deploying and managing OpenStack. Each tool has its own strengths and weaknesses. Chef focuses on infrastructure automation and uses a Ruby DSL. Puppet uses a custom DSL and is focused on compliance. Ansible emphasizes orchestration and uses YAML playbooks. Salt uses a Python-based interface and focuses on remote execution and data collection at scale. All four tools provide options for deploying and managing OpenStack, with varying levels of documentation and community support.
This document summarizes a design session on integrating Cloud Foundry with OpenStack at the OpenStack Summit in Paris. Key points discussed include requirements for the integration like static/floating IPs and security groups. The BOSH deployment process and Cloud Provider Interface for OpenStack were outlined. Ideas were proposed to query OpenStack from BOSH and generate Cloud Foundry manifest files, with the goal of discussing these proposals further on an Etherpad.
IBM BlueMix Architecture and Deep Dive (Powered by CloudFoundry) Animesh Singh
meetup.com/Bluemix
meetup.com/CloudFoundry/
In this meetup, we discussed the architecture and demonstrated IBM BlueMix, public Platform-as-a-Service offering based on Cloud Foundry
Mobile app development is a fundamental element of today’s digital landscape. It is transforming various industries like healthcare, e-commerce, entertainment, and education. As the use of mobile devices continues to soar, businesses are turning to mobile apps to boost customer engagement, offer innovative services, and deliver personalized experiences. Whether it’s enhancing customer service or introducing new tools, mobile apps help businesses stay connected to users in meaningful ways.
For businesses, mobile apps provide a direct and efficient method of communication with customers. With real-time, personalized interactions, apps can enhance user engagement, foster customer loyalty, and increase sales. Additionally, mobile apps offer businesses the flexibility to streamline processes, deliver new services, and cater to customer demands in today’s mobile-first world. They are essential for companies seeking to stay competitive and relevant.
For developers, mobile app development presents both challenges and opportunities. It requires a deep understanding of user needs, creative design skills, and technical expertise in coding and testing. A successful app must be user-friendly, reliable, and innovative. Developers need to balance functionality and design, ensuring that apps perform seamlessly across different devices and operating systems.
Successful apps often feature unique capabilities or solve specific problems. The goal is to create an intuitive and engaging experience, whether it’s simplifying everyday tasks, providing entertainment, or offering educational content. A well-designed app not only attracts users but keeps them returning by delivering real value and solving their problems.
Mobile apps also enable businesses to gather valuable user data, which can be used to improve marketing strategies, refine products, and enhance customer support. Understanding user behavior and preferences helps businesses optimize the app experience, boosting customer satisfaction.
Furthermore, mobile apps present businesses with new revenue streams, such as in-app purchases, subscriptions, and ads. For startups, apps are an affordable way to test ideas and reach new customers, while larger companies can use apps to improve operational efficiency, increase customer loyalty, and stay ahead of competitors.
Whether you're a small business or a large corporation, mobile apps offer tremendous potential. By focusing on providing a seamless user experience, ensuring app functionality and delivering regular updates, businesses can enhance customer relationships and remain competitive in the crowded app market.
For developers, mobile app development offers a world of possibilities. With emerging technologies like AI, AR, and IoT, the future of app development is full of exciting opportunities. As the demand for mobile apps continues to grow, developers have a chance to shape the future of digital interaction and positively impact millions of users worldwid.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
BrightonSEO April 2025 - Hreflang XML E-Commerce - Nick Samuel.pdfNick Samuel
Brighton April 2025 was my first ever attempt at public presentation. Full title was "XML + Hreflang: A Practical Guide for Large E-Commerce Sites
The presentation was suitable for anyone involved in deploying or managing Hreflang for ecommerce websites (big and small).
This talk challenges the sometimes-held assumption that HTML Hreflang is automatically the “better” option compared to XML Hreflang Sitemaps by exploring the advantages and disadvantages of each method.
Drawing upon 12 years of experience in International SEO, I shared common scenarios where XML Hreflang Sitemaps could be more effective compared to HTML, as well as practical tips for prioritising and troubleshooting your Hreflang deployment.
By reading this deck you will be aware of the possibilities of XML Hreflang Sitemaps, and an understanding of when they might be suitable to use for your own website.
This slide is from a Build with AI beginner workshop that was hosted by Google Developer Groups Harare. It takes you through a step by step approach to creating a multiple speaker podcast using Google Cloud and the Gemini API. . It also details how the Gemma models can be used to build different applications and solutions.
SAP Automation with UiPath: Top 10 Use Cases Across FI/MM/SD/Basis/PP Modules...DianaGray10
Explore the top 10 SAP use cases across various modules in this informative webinar. This session is for SAP professionals and people who like automation. It will show you how UiPath can automate important processes in SAP modules like FI, MM, SD, Basis, PP, and more. Learn about practical applications, benefits, and how to get started with automating these use cases on your own.
SAP Automation with UiPath: Leveraging AI for SAP Automation - Part 8 of 8DianaGray10
Connect directly with the TSP team for live demonstrations and practical exercises on SAP GUI, Fiori, SuccessFactors, and more. You'll also receive exclusive SAP access to practice automation on your own machine. Bring your laptop if you want to do the exercises. Don’t miss this great opportunity to kickstart your SAP automation journey!
Generative AI refers to a subset of artificial intelligence that focuses on creating new content, such as images, text, music, and even videos, based on the data it has been trained on. Generative AI models learn patterns from large datasets and use these patterns to generate new content.
This presentation provides a comprehensive overview of the Transactional Outbox Pattern and the Inbox Pattern, two essential techniques for ensuring reliable and consistent communication in distributed systems.
We start by clearly outlining the problem these patterns aim to solve—namely, maintaining data consistency between databases and message brokers in event-driven architectures. From there, we delve into what the Outbox Pattern is, how it works under the hood, and how it guarantees message delivery even in the face of failures.
The presentation then shifts focus to the Inbox Pattern, explaining its role in ensuring idempotency and preventing duplicate processing of messages. Each concept is explained with simple language, diagrams, and a logical flow that builds a solid understanding from the ground up.
Whether you’re an engineer building microservices or just exploring distributed system patterns, this talk provides clarity, practical insights, and a helpful demo to see the patterns in action.
Topics Covered:
* Problem Statement
* Transactional Outbox Pattern
* How It Solves the Problem
* Internal Mechanics
* Delivery Guarantees
* Inbox Pattern Explained
* Internal Workflow
* Conclusions & Further Reading
* Demo
TrustArc Webinar - Data Privacy and Cyber Security: A Symbiotic RelationshipTrustArc
In today’s digital age, data has become an organization’s lifeblood. As the use of digital technologies continues to escalate, so do the risks associated with personal data, which continue to grow exponentially as well. To effectively safeguard personal and sensitive information, organizations must understand the intricate relationship between data privacy, cybersecurity, and incident response.
Data privacy and cybersecurity are two sides of the same coin. Data privacy focuses on how personal data is to be collected, used, stored, shared and controlled, while cybersecurity aims to protect systems and networks from unauthorized access, digital attacks, malware and data breaches.
However, even with the best data privacy and security measures in place, cyber incidents can still occur. A well-prepared incident response plan is crucial for minimizing the impact of a breach and restoring normal operations.
Join our experts on this webinar to discuss how data privacy, cybersecurity, and incident response interact and are essential for safeguarding your organization’s digital assets.
This webinar will review:
- How data privacy and cybersecurity intersect
- How to develop a comprehensive privacy and security strategy to safeguard personal and sensitive information
- What are suggestions and expectations around incident response
From SBOMs to xBOMs to Transparency - Pavel Shukhman at OWASP Ottawa on 2025-...Pavel Shukhman
Pavel Shukhman's slides from OWASP Ottawa presentation on 2025-03-19. Discusses Software Bills of Materials (SBOMs) and Bills of Materials in general (xBOMs) and infrastructure around them.
YouTube recording -
SaaS product development has transformed the software industry into a dynamic ecosystem where innovation, customer-centric design, and rapid iteration shape market success. This presentation explores best practices that empower organizations to build, launch, and scale high-performing SaaS products in today’s competitive digital arena. It begins with an examination of agile methodologies, lean startup principles, and the importance of launching a minimal viable product (MVP) to validate market demand and reduce risk. Through iterative development cycles, teams can continuously refine features based on real user feedback while maintaining flexibility to pivot when necessary.
Strategic planning is emphasized as the cornerstone of sustainable growth. The presentation details how comprehensive market research, rigorous competitor analysis, and a clear product roadmap help align cross-functional teams, from developers and designers to marketing and customer support. Integrated DevOps practices and the adoption of cloud-based architectures further enhance operational efficiency, scalability, and performance. Robust security protocols and compliance measures are also addressed to safeguard data and meet regulatory standards.
A significant portion of the guide is dedicated to leveraging data-driven decision making. Detailed metrics and analytics empower teams to assess user engagement, track product performance, and drive continuous improvements through automation in testing, integration, and deployment. The discussion delves into best practices for managing technical debt, optimizing the development lifecycle, and ensuring that every release adds measurable value. In today’s fast-paced market, the ability to adapt quickly is not optional; it is a necessity that is fostered by iterative testing, proactive customer feedback loops, and strategic risk-taking.
Moreover, this presentation outlines advanced techniques for creating intuitive user experiences (UX), ensuring seamless onboarding, and delivering ongoing customer support that builds trust and enhances loyalty. By merging strategic vision with execution excellence, these best practices offer a comprehensive framework for startups and established enterprises alike, guiding them to achieve long-term success and competitive advantage in a rapidly evolving digital landscape.
Optimized for both innovation and efficiency, this guide serves as an essential resource for product teams aiming to thrive in the SaaS industry. Whether you are refining an existing product or embarking on a new venture, the practices outlined here will help you navigate challenges, seize opportunities, and drive lasting value for your customers.
AI Driven Posture Analysis Fall Detection System for the Elderly.pdfPatrick Ogbuitepu
This project introduces an innovative, cost-effective solution for real-time activity monitoring of elderly individuals. By leveraging the MediaPipe pose estimation model, fuzzy logic, and finite state machines, the system can reliably track individuals, recognize static postures (standing, sitting, lying), and detect transitions, particularly focusing on falls. A key achievement is the system’s zero false alarm rate, a significant advancement in vision-based fall detection systems. While the system shows promise, it faces limitations in scenarios with severe occlusions or low lighting conditions. To address these challenges, future work
will explore the use of multi-camera setups, interactive calibration modes, and audio feedback to enhance accuracy and user experience. This prototype represents a significant step towards reliable, real-time elder care. By combining advanced AI techniques with practical considerations, this system offers a scalable and effective solution to a pressing societal need.
MariaDB Berlin Roadshow Slides - 8 April 2025MariaDB plc
With a surge of database solutions, many open-source databases in particular lack battle-tested, enterprise-grade features. Explore MariaDB for an enterprise open source database solution.
58. Meet the IBM Team at these sessions
Monday, May 18th
12:05 pm - A Conversation with Cinder Developers - Jay Bryant
4:40 pm - Tales From the Gate: How Debugging the Gate Helps Your Enterprise
- Matt Riedemann
4:40 pm - From Archive to Insight: Debunking Myths of Analytics on Object
Stores - Dean Hildebrand, Simon Lorenz
5:30 pm - OpenStack, Docker, and Cloud Foundry - How does the Leading Open
Source Triumvirate Come Together - Animesh Singh, Daniel Krook, Manuel
Silveyra, Kalonji Bankole
Tuesday, May 19th
11:15 am How to Configure your Cloud and Tempest for Interoperability Testing
Catherine Diep
12:05 pm - Past, Present and Future of Fibre Channel in OpenStack - Jay Bryant
2:00 pm - Building a Production Grade PaaS platform like Bluemix on
OpenStack, leveraging Container based scalable services - Animesh Singh,
James Busche
2:00 pm - Standing Tall in the Room - Sponsored by the Women of OpenStack -
Radha Ratnaparkhi
5:30 pm New Advances in Federated Identity and Federated Service Provider
Support for OpenStack Clouds - Brad Topol, Steve Martinelli
Wednesday, May 20th
9:50 am - Network Connectivity in a Hybrid OpenStack Cloud - John Kasperski,
Vinit Jain
1:50 pm - Leveraging open source tools to gain insight into OpenStack Swift -
Dmitry Sotnikov, Michael Factor
1:50 pm - Keystone advanced authentication methods - Steve Martinelli, Henry
Nash
2:40 pm - Helping Telcos go Green and save OpEx via Policy - Dilip
Krishnaswamy
Thursday, May 21st
9:00 am - Big Data Analytics and Docker: The Thrilla in Manila - Bill Owen,
Dean Hildebrand, Michael Hines, Nilesh Bhosale
9:50 am - Role of NFV Research in Open Source and Open Standards - Dilip
Krishnaswamy
1:30 pm - On-demand Disaster Recovery (DR) service enablement through
Software Defined Environments under hybrid clouds - Venkata Jagana,
Ramesh Palakodeti, CV Venugopal, Mike Williams, Ann Corrao
1:30pm - OpenStack Networking: It's time to talk Performance - Bengi Karacali,
John Tracey,Mohammad Banikazemi, George Almasi
4:10 pm - Beyond the Horizon: Innovating and Customizing Horizon using
AngularJS - Cindy Lu, Thai Tran