Why Akka

Embrace failure

Applications have failures. It’s a reality. Distributed and agentic AI apps introduce additional points of failure. Rather than depending on redundant infrastructure, monitoring, and recovery tooling, we believe it’s better if the application heals itself.

This is the power of Akka. Whether it’s a hardware failure, an unexpected spike in users, or an unpredictable LLM, Akka apps are built to maintain responsiveness and stability.

Load spikes

Unexpected surges in traffic can overwhelm applications.

Long RTO

DR failover isn’t always instantaneous.

Upgrade downtime

Software release, infrastructure upgrades, hardware failure, and schema changes can all cause unplanned downtime.

Unresponsive LLMs

LLMs need enormous compute power, making them susceptible to being overwhelmed with requests.

LLM hallucinations

LLMs can generate inaccurate or misleading responses.

External APIs unavailable

Third-party services can become unavailable without warning.

Adapt continuously

Elastic. Agile. Resilient.

Akka agentic applications don’t fear failure–they expect it. Akka applications adapt to any failure: varying demand, unpredictable LLMs, systems failure, and more, implementing the Reactive Principles – industry-accepted design guidelines for guaranteeing responsiveness.

Stay Responsive

Elastic

Akka apps auto-scale to varying workloads while placing multi-master replicas near users.

Agile

Akka updates, rebalances and repartitions workloads to enable no-downtime maintenance events.

Resilient

Akka recovers, migrates and replicates workloads to handle any potential failure.

Reactive Inside

Agentic by design

From prototype to global-scale, with no friction.

Accelerate development

AI development is stochastic – you don’t know if the code you’re writing will do what you want. It demands fast iteration.

Akka lets you develop and test agentic services locally using the same code that runs in production—no mock infrastructure or cloud sandbox required. Built-in tools like the service trace debugger and agentic memory inspector let you observe and refine AI behavior in real-time, enabling rapid experimentation.

Built for agentic systems

Agentic services aren’t just stateless API calls—they’re long-running, stateful, and often conversational.

Akka’s architecture is designed for this, with event sourcing for durable state management, resilient execution for handling failures, and an event-driven core that enables services to react fluidly to changing conditions and inputs.

Seamless tool integration

Agentic systems need to call APIs, retrieve context, and trigger actions across other systems.

Akka’s native support for tool use and information retrieval make it easy to build agents that are both accurate and actionable.

(un)Paralleled performance

Responsiveness for the app stack

Akka delivers unmatched, benchmarked performance to scale your app from zero to infinity, and back, while only consuming the resources necessary to get the job done.

Network

100: global POPs available

6ms: p99 read latency

App

100M: concurrent users

Data

1.5M: IOPS, 97% read

8ms: p99 write latency

CPU

1B: msgs/sec

250M actors/GB heap

Privacy and security

Agentic services often operate on sensitive data, so privacy, security, and trust aren’t optional.

Akka services operate in a secure, zero trust architecture with integrated privacy and compliance controls. These controls make it easy to meet enterprise requirements such as data residency, insider threat mitigation, regulatory compliance, and data minimization.

InfoSec protection

Akka’s commitment to security and compliance is paramount with attestation or certification of 19 compliance standards. Akka has been deployed into 1000s of mission-critical environments. We understand that our customer’s trust in us is critical so we continually prioritize new InfoSec initiatives.

Higher density. Lower cost.

Akka apps cost less to operate. Akka’s proven actor runtime enables 200M agentic services on a single core, driving down cloud infrastructure and LLM costs by as much as 90%.

The CFO may not understand Akka, but they will love it.