microservices
It Worked Last Tuesday: What Operators Teach Us About Platform Reality
Infrastructure as code defined the cloud era, but Kubernetes operators are redefining how DevOps keeps systems reliable. Instead of “apply and hope,” operators continuously reconcile reality with intent — automating change, reducing ...
Avery Pennarun | | Atlanta, automation, CI/CD, cloud infrastructure, cloud native, cloud operations, CloudNativeCon 2025, cluster management, configuration management, continuous delivery, control loops, declarative infrastructure, DevOps automation, DevOps culture, GitOps, IaC, infrastructure as code, intent-based automation, KubeCon 2025, kubernetes, kubernetes best practices, Kubernetes controller, Kubernetes operators, Kubernetes reconciliation loop, microservices, observability, operational excellence, operator pattern, platform engineering, platform stability, reconciliation, resilience engineering, self-healing systems, service reliability, SRE
Building Cloud-Native Agentic Systems With Dapr Agents
Learn how Dapr agents enable building secure, scalable, cloud-native AI systems with seamless Kubernetes integration, fault recovery, and agentic workflows ...
Siri Varma Vegiraju | | agentic AI, AI automation, AI frameworks, AI orchestration, API integration, cloud computing, cloud-native applications, containerized deployment, Dapr, Dapr actors, Dapr Agents, Dapr workflows, devops, distributed application runtime, distributed systems, event-driven architecture, fault tolerance, Kubernetes integration, microservices, multi-agent systems, OpenAIChatClient, Python agents, RBAC, RoundRobinOrchestrator, scalable infrastructure
DevOps in the Cloud-Native Era: The Blueprint for Blazing-Fast Software Delivery
Cloud-native and DevOps are now non-negotiable for scaling software delivery. Learn how CI/CD, IaC, GitOps, observability, and AI shape modern DevOps success ...
Service Mesh Evolution: Ambient Mode, Gateways & The Return of Simpler Architectures
Service mesh is evolving beyond sidecars. Ambient mode and Gateway APIs deliver security, observability, and traffic control with less overhead. Teams benefit from leaner, more flexible architectures ...
Kubernetes Has Become Boring — That’s a Good Thing
Nearly 10 years on, Kubernetes has become the invisible backbone of cloud-native infrastructure—stable, trusted and still quietly evolving ...
Service Mesh at a Crossroads: Istio’s Graduation and the Road Ahead
It wasn’t that long ago that service mesh was the shiny new toy of the cloud-native stack. For many platform teams, Istio, Linkerd, Consul Connect, or Kuma promised to solve some of ...
Dynatrace Reaches the Crowded Observability Summit: GRAIL-Powered Next‑Gen Observability, OpenTelemetry, and the Autonomous Age
After 15 turbulent years, Dynatrace is not just back on top and basking in the sun, but redefining what the top looks like ...
Curved Kubernetes: Microsoft Workload Orchestration in Azure Arc
Microsoft has confirmed the release and general availability of “workload orchestration” as a new service in Azure Arc, the company’s extension mechanism that enables Azure cloud management capabilities to work outside Azure ...
Leveraging OpenTelemetry for End-to-End Tracing in Microservices
OpenTelemetry provides a powerful and flexible approach to understanding, troubleshooting and optimizing applications in microservices architectures ...
Evolving Kubernetes and GKE for Gen AI Inference
The combination of foundational improvements in open-source Kubernetes and powerful, managed solutions on GKE represents a significant leap forward for any organization working with generative AI ...
Akshay Ram | | AI aware load balancing, AI aware routing, benchmark database, cloud-native applications, community driven effort, container orchestration, data driven decisions, developer velocity, Evolving Kubernetes, Gen AI inference, GKE, GKE features, GKE Inference Quickstart, GPUs, Inference Gateway, inference perf project, intelligent scheduling, Kubernetes primitives, KV cache utilization, large models, latency vs throughput curves, microservices, model replica routing, open source Kubernetes, request response patterns, scaling, seamless portability, specialized hardware, standardized benchmarking, tail latency reduction, throughput increase, total cost of ownership, TPU serving stack, TPUs, user experience, vLLM library

