Xiaolong Jiang

After over three years of maintaining #JCenter as a read-only repository for legacy #Java packages, JFrog is moving forward with an official sunset of JCenter and redirection of all requests to Maven Central. Learn more about it here: https://lnkd.in/gNyvsZxP

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🚀 #AI is evolving fast—get your workflows ready by joining JFrog experts Guy Levi (VP, Architects Lead) and Guy Eshet (Senior Product Manager, JFrog ML) for an exclusive webinar where innovation meets execution. 🗓️ When: December 10th, 11 AM EST What You’ll Learn: ⚡ Seamlessly unify your #DevOps + #MLOps workflows 🛡️ Bolster #security & #compliance at every stage 💡 Optimize costs & resource allocation with precision 🏎️ Accelerate development and deployment like never before Ready to turn challenges into opportunities? Secure your spot today! 👉 https://jfrog.co/4eZ0TCi

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Migrating Bitbucket to the cloud can come with challenges, so it's best to prepare for negative encounters. Explore the challenges, best practices, and expectations of migrating Bitbucket Server to Bitbucket Cloud in this vlog from SPK’s experts, Edwin Chung and Michael Roberts. The two detail their experience with Bitbucket Migrations in the past, preparing you for the future! ⏩ https://lnkd.in/dht98Eiz #Bitbucket #BitbucketServer #BitbucketCloud #Cloud #ServerToCloud #Migration #CloudMigration

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Make sure to read "How to Connect the JFrog Platform to Your GitHub Environment to Create a Seamless Integration" to learn more about our partnership: https://jfrog.co/3V1bAfU Get the deep dive at our next webinar on June 20th: https://jfrog.co/3yDpZY9

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JFrog and GitHub have strengthened their alliance with a unified dashboard, streamlining vulnerability tracking from source code to deployed binaries. Now, DevOps teams can seamlessly navigate between GitHub Actions Workflows and JFrog Artifactory repositories, with visibility into security scans, permissions, and identities. This bi-directional integration makes it easier to prioritize vulnerabilities and ensure software is secure at every step. https://bit.ly/3TnvjGo #swampUP2024 #DevSecOps

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🚀 Follow along this week as we highlight some of the features we shipped over the past quarter! Up first: Anyscale Replica Compaction. Anyscale’s Replica Compaction optimizes resource scheduling in Ray Serve, solving resource fragmentation and enhancing efficiency. Why it matters:  Resource fragmentation happens when scaling leads to uneven utilization across nodes. As traffic decreases, previously needed nodes become underutilized, leading to increased cost and poor efficiency. Ray Serve scales each model independently, leading to this issue. Solution: Replica Compaction automatically migrates replicas into fewer nodes, optimizing resource use and reducing costs with zero downtime. Results: On an Anyscale Service with multiple LLMs (Mistral, Mixtral, Llama3), efficiency increased by 10.7% (measured by Tokens / GPU Second).  We found instance seconds declined by 3.7% despite an 11.2% traffic increase. Learn more in our blog: https://lnkd.in/e5WjVSFH Get started today: https://bit.ly/3Y6qHrx

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Model versioning can be a frustrating process. 🥵 With #ML Model Management from JFrog you can make sure the right version is being used at the right place and the right time, while ensuring that it’s #secure. Read for more details: https://jfrog.co/3Sek4zW

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💡 How Prometheus Reduces Costs 💰Cost Efficiency with Prometheus Why spend heavily on proprietary monitoring tools when Prometheus offers enterprise-grade features for free?  💠Open Source: No license fees.  💠 Efficient Storage: Stores only essential metrics, reducing data overhead.  💠 Customizable Scaling: Grow your infrastructure without exponential cost increases. 🎯 Business Benefits: 🌟Lower Total Cost of Ownership (TCO) compared to commercial alternatives. 🌟Optimized resource utilization through granular monitoring and insights. Cut costs without compromising on performance—Prometheus delivers exceptional value. #CostEfficiency #OpenSource #Prometheus #Vizares #OpenTelemetry

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We’ve recently introduced the Anyscale Unified Log Viewer, which simplifies and streamlines the debugging and optimization of distributed Ray applications! Key features include: • Structured logging with actor, instance, and request attributes for effective searching across the cluster • UI and log persistence • Comprehensive search and filtering capabilities • Scalable to 100s of GB of logs and thousands of nodes Check out the video: https://lnkd.in/gwr5hsTf  🛠️ To get started, log in to Anyscale, run your Ray application, and navigate to the new log viewing section in your dashboard. Start debugging and optimizing with ease! 🌟 Read more in our announcement: https://lnkd.in/gpbEvr2h

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GO COMMENTARY WEEKLY: CLI TOOLS & THE PENDULUM SWINGING BACK TO TERMINALS Welcome to this week's Go Commentary by Phat Nguyen (backend engineer), where we explore how the Go ecosystem is embracing a CLI renaissance with tools for Kubernetes, REST APIs, and full-text terminal readers. 1/ `kl`: Interactive Kubernetes Log Viewer - This interactive log viewer for Kubernetes lets you monitor multiple containers, pods, and clusters from your terminal. It’s efficient, but it does make you wonder: Why isn't this built into `kubectl` itself? 2/ Restish: A CLI for RESTful APIs - Restish aims to be a streamlined way to interact with REST APIs, even if `curl` and `HTTPie` already do the job. It's a slick tool, but maybe we need to question if we’re over-complicating things just to add another shiny tool to our stack. 3/ `cast-text`: A Terminal-Based Full-Text News Reader - Brings back RSS feed reading to your terminal, making you feel like it's 1999 again but in a good way. It’s the kind of back-to-basics experience that reminds you why the terminal is still a developer's best friend. Reflection: Moving Forward by Looking Back - There’s comfort in these CLI tools, and they are a reminder of a simpler time. Yet, we can't ignore that these new text-based tools come with their complexities, hiding layers beneath their minimalist surface. Find out in this week's edition: https://lnkd.in/g-gGW6Fx #Golang #tooling #dwarves #software _ Dwarves Notes (https://memo.d.foundation/) combine our team’s collective know-hows, R&Ds, and operation approaches. Connect and learn alongside other tech fellows: - Discord: discord.gg/dwarvesv - Github: https://lnkd.in/gZZ2eZMu - Website: https://d.foundation

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Struggling with legacy and new VM workloads? We’ve got you covered on how to seamlessly run VM workloads on Kubernetes. Watch this on-demand webinar as our senior solution architect, Kevin Ng, shows you how easy it is to run VM workloads on Kubernetes with KubeVirt, featuring real world use cases and a demo. Watch the video now! https://bit.ly/3zrNlk1

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💥 We recently announced Temporal Nexus - the feature that connects durable executions across team, namespace, region, and cloud boundaries. Nexus endpoints are API proxies for Nexus services that abstract Temporal primitives like Workflows for seamless integration and collaboration across teams 🤝 
 
Benefits for developers: - Familiar API programming model that supports both sync and async patterns for connecting durable executions using existing queue-based Workers. - Modular architecture that allows teams to independently develop, scale, and maintain parts of an application with clear API contracts backed by robust Nexus machinery. - Enhanced security, troubleshooting, and fault isolation that reduces the risk of misbehaving workers, since each team can run their workflows in separate namespaces. Use the Temporal SDK to add Nexus services to your existing workers with clean API contracts for others to use. Read more: http://temporal.io/nexus

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𝗲𝗕𝗣𝗙 𝗧𝗶𝗽 → 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗚𝗮𝗶𝗻𝘀 𝘄𝗶𝘁𝗵 𝗖𝗮𝗹𝗶𝗰𝗼 𝗲𝗕𝗣𝗙 Achieve better throughput and lower CPU usage in Kubernetes with Calico's eBPF dataplane. 𝗖𝗵𝗲𝗰𝗸 𝗶𝘁 𝗼𝘂𝘁 𝗵𝗲𝗿𝗲:  https://lnkd.in/gPkUjQtw

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We're thrilled to feature "μOpt: An Efficient Optimal Autoscaler for Microservice Applications," recipient of the Best Paper Award at ACSOS 2023, in our ongoing Paper Spotlight series. This paper introduces μOpt, an efficient model-based autoscaler for cloud-based microservice architectures. By solving a nonlinear optimization problem that embeds a layered queueing network (LQN) model, µOpt proactively computes optimal configurations maximizing performance while minimizing allocated resources. More in detail, µOpt works like this: * At design time, the user defines an LQN model of the application, µOpt automatically generates its fluid representation and the relative non-linear optimization problem formulation. * At runtime, µOpt operates following the time-triggered MPC philosophy. It solves the optimization problem, thus computing the optimal configuration given the measured current number of users, the target KPI, and the constraints of the system. It then proceeds to apply the optimal configuration with vertical and horizontal scaling actions. Comparative analysis in the study demonstrates that μOpt outperforms a state-of-the-art autoscaler, achieving approximately 6% to 8% higher performance, using about 15% to 35% fewer resources, and reporting fast solution times (∼0.1 s) which is significant in scenarios involving highly variable workloads. For a more comprehensive understanding of μOpt check out the full paper. https://lnkd.in/d2ezs8RA Emilio Incerto Roberto Pizziol Mirco Tribastone Scuola IMT Alti Studi Lucca #ACSOS #IEEE #Research

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SaaS Daily Funding News $330m+ invested into the software industry. Details 👇 Cohesity - Series F - $150m - offers hyperconverged secondary storage for backups, test/dev, file services, and analytics use cases. NightVision - Seed Round - $5.4m - Web & API security testing company Dot Compliance - Series B - $17.5m - delivers the industry's first ready to use cloud-based quality and compliance management solution for regulated industries. HumanX - Seed Round - $6.m - focuses on AI serves as a catalyst for enterprises. PineGap.ai - Seed Round - $2.5m - an AI-powered equity research platform for Wall Street Qureight - Series A - $8.4m - an imaging analytics company. Ecotrak Facility Management Software - Series Unknown - $30.m - offers a mobile-first, web-based asset management SaaS platform to manage its facilities online. Clientell - Seed Round - $2.5m - offers no-code machine learning platform to analyze consumer data and predict behaviour Lawhive - Seed Round - $11.8m - on a mission to make legal help accessible to everyone. Apify - Series Unknown - $2.9m - a web scraping and browser automation platform that can turn any website into an API. Bridgewise - Series A - $21.m - aims to become the industry standard for equity research by applying advanced AI My Emissions - Seed Round - $1.6m - platform for food companies to accurately measure and reduce carbon emissions. Official carbon labelling partner of Just Eat. ClickPost - Series A - $6.m - a logistics intelligence platform that helps companies use data science to improve supply chain performance. Cozero - Series A - $6.9m - empowers companies to decarbonize and boost their business performance. GridBeyond - Series C - $55.3m - wireless energy management and control systems for retail, commercial and industrial users. Take2 AI - Seed Round - $3.m - AI-Powered job simulation platform for sales recruiting. #saas #software #startups #venturecapital #technology #startup

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Database queries can vary greatly. Some are served immediately from cache in milliseconds, while others return giga-terabytes of data and take minutes or hours. Join CTO and co-founder Avi Kivity at #P99CONF to learn how #ScyllaDB's query queue was designed to handle CPU, memory, and stability challenges. https://lnkd.in/edejH_fG #lowlatency #database #techtips

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Database queries can vary greatly. Some are served immediately from cache in milliseconds, while others return giga-terabytes of data and take minutes or hours. Join CTO and co-founder Avi Kivity at #P99CONF to learn how #ScyllaDB's query queue was designed to handle CPU, memory, and stability challenges. https://lnkd.in/edejH_fG #lowlatency #database #techtips

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Confluent's Field CTO, Kai Waehner, shares insights on the future of streaming analytics and data management, highlighting the importance of reliable data flow, collaboration, and security. Discover how Confluent's cutting-edge platform revolutionizes streaming analytics. Read the full interview: https://lnkd.in/gSMVCmvy #StreamingAnalytics #DataManagement #FutureOfData #BusinessIntelligence

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New Relic Announces One-Step Observability for Kubernetes to Deliver Automatic Instrumentation and Insights 𝐊𝐧𝐨𝐰 𝐌𝐨𝐫𝐞👉 https://lnkd.in/gct97Abd #NewRelic, the Intelligent #Observability Platform, announced one-step observability for Kubernetes, addressing #keymonitoring challenges #developers face in managing #dynamic Kubernetes #environments. New Relic #NewRelic Manav Khurana Ashan Willy Peter Marelas SWAPAN ROY NCN Magazine #ncnmagazine #ncnonline #NCN

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