Blogs About Scaling AI
AI · Operations · Developer
The Autonomous Operating Environment
Introducing the Akka AutonomousAgent component
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AI · Operations · Resources
Introducing Akka Specify
Using AI-assist and spec-driven development to build an Akka project
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All posts
Role
Topic
- Demo: Simplified Workflow Step Syntax
- Demo: Recovering a completely destroyed region
- Introducing Akka’s new Agent component
- Demo: Build and deploy a multi-agent system with Akka
- Akka Orchestration: Guide, moderate, and control agents
- Akka Agents: Quickly create agents, MCP tools, and HTTP / gRPC APIs
- Akka Memory: Durable, in-memory, and sharded data
- Akka Streaming: High-performance stream processing for real-time AI
- Demo: Akka [code init] feature
- Demo: Temperature monitoring agent
- Demo: MCP support in Akka
- MCP, A2A, ACP: What does it all mean?
- Developer experience improvements in Akka Libraries 25.05
- New Akka deployment options: elasticity on any infrastructure
- QCon London: From concept to code – navigating AI services
- Building a real-time video AI service with Google Gemini
- Workflows with Akka
- Saga patterns in Akka (part 1) - event choreography
- Saga patterns in Akka (part 2) - read models
- Saga patterns in Akka (part 3) - exactly-once delivery with deduplication
- Saga patterns in Akka (part 4) - error handling, DLQ
- Saga patterns in Akka (part 5) - orchestration with workflows
- Akka with Java 21: less is more
- Akka 24.05: more security. More performance. More efficiency.
- Get productive with Akka Streams
- The easy button for durable state queries
- Adaptive stream parallelization for fun and throughput
- Active-Active
- Ditch the message broker, go faster
- Design techniques for building stateful, cloud-native applications: Part 4 – message delivery & reliability
- Design techniques for building stateful, cloud-native applications: Part 3 – messages, CQRS, and event sourcing