Blogs About Scaling AI
15 Techniques to lower the cost of AI
Incorporate smart harnesses, multi-model routing, self-hosting open-weight models, prompt caching, and SLM training to lower your AI spend.
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AI · Architect / CTO · CAIO / CIO
We Ported 65 OSS Projects With AI
We created a self-improving, spec-driven delivery harness to test whether frontier models can port complete systems.
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AI · Architect / CTO · Security
Building the Akka MCP Gateway: Governed AI Tool Access for the Whole Organization
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Role
Topic
- Scaling Agentic AI with Governance at the Core
- The Autonomous Operating Environment
- Go Slow to Go Fast
- Introducing Akka Specify
- Manulife Selects Akka to Operationalize Agentic AI within its Enterprise AI Platform
- What is Agentic AI?
- Demo: Surviving the Split
- Trustworthy AI with Akka
- Demo: Simplified Workflow Step Syntax
- Demo: Recovering a completely destroyed region
- Agentic AI: Why Experience Matters More Than Hype
- Akka and Deloitte Collaborate to Deliver Agentic AI at Scale
- Agentic Systems Are Distributed Systems
- Event Sourcing: The Backbone of Agentic AI
- Beyond the Hype: How to address AI agent dev framework obstacles
- Agentic AI frameworks for enterprise scale: A 2026 guide
- TechEdge AI talks with Tyler about agentic systems
- Adopting agentic AI systems for financial services applications
- Announcing the Akka Agentic Platform
- Introducing Akka’s new Agent component
- Video: Overview of Akka Agentic Platform
- 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: New Akka SDK Component: Agent
- Demo: Temperature monitoring agent
- Demo: MCP support in Akka
- News: Akka Introduces Agentic AI Platform
- Cell-based architectures and Akka, a perfect match
- The backbone of agentic AI, distributed systems, and OSS sustainability
- MCP, A2A, ACP: What does it all mean?
- Developer experience improvements in Akka Libraries 25.05
- CTO asks CTO: Jonas Bonér on Akka, AI agents, and distributed systems
- How does Akka clustering work?
- Design patterns for agentic AI
- 5 key capabilities for agentic AI: Unlocking the future of intelligent automation with Akka
- New Akka deployment options: elasticity on any infrastructure
- News: Akka launches new deployment options for agentic AI at scale
- QCon London: From concept to code – navigating AI services
- QCon London: A blueprint for agentic AI services
- AI agents are coming for your SaaS stack
- InfoQ podcast: building agentic AI systems at scale
- Demystifying AI, LLMs, and RAG
- Building a real-time video AI service with Google Gemini
- A blueprint for agentic AI services
- Mastering Event Sourcing
- 99.9999% app availability
- Multi-region replicated apps
- 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
- InfoQ webinar: the architect's guide to elasticity
- Akka license keys and a no SPAM promise
- O’Reilly webinar: transcending the barriers to elasticity
- Akka innovations: multi-cloud, edge, and security enhancements
- Benchmarking database sharding in Akka
- Not all CVE fixes are created equal
- Akka 24.05 - fully replicated entities across regions, edge, and clouds
- Building Zero Trust security into your Akka applications
- Akka 24.05 — the edge unleashed
- Akka with Java 21: less is more
- The database is the bottleneck!
- Is community-backed open source software worth the risk?
- Webinar: Akka 24.05 release highlights
- Lightbend releases Akka 24.05 with a focus on security, performance, and edge efficiency
- Akka 24.05: more security. More performance. More efficiency.
- Open source is at a crossroads
- Reactive programming vs. reactive systems
- Microservices unleashed: evolving mission-critical applications in the cloud at lower cost, risk, and complexity
- 5 reactive microservices use cases that power business innovation
- Fast, lean, and unbreakable: building cloud apps with Akka and Kubernetes
- Get productive with Akka Streams
- The easy button for durable state queries
- Adaptive stream parallelization for fun and throughput
- Active-Active
- Faster and smoother rolling updates for Akka Clusters in Kubernetes
- Benchmarking Kafka vs. Akka brokerless pub/sub
- Lightbend achieves SOC 2 compliance
- Ditch the message broker, go faster
- Akka 22.10 released
- Lightbend changes its software licensing model for Akka technology
- Why we are changing the license for Akka
- Akka gRPC update delivers 1200% performance improvement (so what happened?)
- 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
- Design techniques for building stateful cloud-native applications: Part 2 – distributed state
- Design techniques for building stateful, cloud-native applications: Part 1 - resiliency, recoverability, and scalability