Sidecarless Service Mesh: The Next Evolution of Cloud-Native Networking
Explore how sidecarless service meshes like Cilium and Istio Ambient Mesh are revolutionizing cloud-native networking with eBPF and kernel-level optimizations.
Blog Posts
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Self-Healing AI Agents: The Next Step in Autonomous Reliability
A deep exploration of self-healing mechanisms in multi-agent systems — how AI agents can autonomously detect, diagnose, and correct their own failures using feedback loops, LLM-driven reasoning, and vectorized memory inspection.
AgentOps: Applying DevOps Principles to AI Agent Lifecycle Management
Learn how to apply DevOps principles to AI agent development, from prompt versioning to behavioral drift detection and automated rollback systems.
Multi-Agent Memory Graphs — The Next Frontier of Context-Aware AI Collaboration
Explore how memory graphs are emerging as the most efficient way to represent evolving context between AI agents. Instead of simple vector stores, agents build and traverse dynamic knowledge graphs to reason, collaborate, and remember over time.
Agent Orchestration Patterns: Beyond LangChain's Sequential Paradigm
Exploring emerging orchestration strategies for multi-agent systems—beyond simple sequential or hierarchical chaining. Focus on dynamic, event-driven orchestration, context routing, and self-healing agent graphs.
The Policy-Based Design Pattern: Decoupling Behavior through Configurable Rules in Applications
Explore how the Policy-Based Design Pattern enables runtime adaptability and configurable behavior in modern applications, from multi-tenant SaaS to AI-driven systems.
Designing Secure and Composable AI Agents with Function-Level Sandboxing
Learn how to safely expose external tools and APIs to AI agents using function-level sandboxing and capability tokens, preventing data leaks and uncontrolled actions.
Event-Choreography Pattern: A Modern Alternative to Orchestration in Distributed Systems
Explore how event choreography is replacing centralized orchestration in modern distributed systems, offering better scalability and autonomy for microservices.
AI-Aware Design Patterns: Adapting Classic Patterns for Machine Learning Integration
Learn how to adapt traditional software design patterns for AI/ML systems. From Factory to Observer patterns, discover AI-aware extensions that handle model versioning, retraining, and graceful fallbacks.
Saga and Outbox Patterns Reimagined: Modern Transaction Management for Distributed Systems
Learn how to combine Saga and Outbox patterns with modern techniques like idempotency keys, event sourcing, and AI-based reconciliation for robust distributed transaction management.