
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 ...

Mastering Reloader: Automating Kubernetes Restarts with Confidence
Reloader is the missing piece in your DevOps toolkit — bridging the gap between configuration changes and application readiness in real time ...

Unleashing the Power of Argo CD by Streamlining Kubernetes Deployments
There are many CD tools for Kubernetes on the market, but the popular ones include Argo CD, Flux CD, Jenkins X and GitHub Actions ...

Setting Up Scalable Monitoring With Prometheus, Grafana and Mimir on Kubernetes
A comprehensive and adaptable guide to setting up scalable monitoring with Prometheus, Grafana, and Mimir on Kubernetes ...

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

Automating Kubernetes Cleanup in CI Workflows
Continuous integration (CI) practices are now mainstream and have significantly increased deployment frequency while decreasing defect rates for organizations worldwide. This boosts mean time to repair (MTTR), market responsiveness, risk reduction, software ...

Rethinking Kubernetes Complexity in the Enterprise with Paul Turner
Running Kubernetes in production still intimidates a lot of enterprises—not because they doubt its potential, but because the complexity of managing it at scale continues to get in the way. In this ...

Navigating the Complexities of Rapidly Scaling Kubernetes Environments
Managing Kubernetes traffic with disparate technologies creates challenges, especially when scaling, emphasizing the need for tool consolidation ...

F5 Extends Ability to Scale and Secure Network Traffic Across Kubernetes Clusters
F5 is making available an update to F5 BIG-IP Next Cloud-Native Network Functions (CNF) to make it simpler to scale network traffic horizontally across Kubernetes clusters. Additionally, version 2.0 of F5 BIG-IP ...

Why Kubernetes 1.33 Is a Turning Point for MLOps — and Platform Engineering
With Kubernetes v1.33, that point has arrived for artificial intelligence (AI) and machine learning (ML) infrastructure. ...