Kubernetes
From PagerDuty to ‘Agentic Ops’: The Rise of Self-Healing Kubernetes
Explore how the role of Site Reliability Engineers (SREs) is transforming with Agentic Ops, integrating technologies like eBPF, LLMs, and Kubernetes Operators to shift problem-solving from humans to intelligent systems ...
Pavan Madduri | | 3 A.M. PagerDuty, Agentic Ops, AI in DevOps, Automated Ops, cloud cost optimization, devops, eBPF, incident management, Kubernetes operators, LLMs, observability, policy as code, predictive scaling, root cause analysis, Site Reliability Engineer, SRE, System Automation, Technology Evolution
Hybrid Cloud at Enterprise Scale: Private Kubernetes for Portability and Control
Private Kubernetes is the missing abstraction layer for enterprise hybrid cloud. Learn how a private Kubernetes platform enables portability, security, governance, and freedom from vendor lock-in across on-prem, private cloud, and public ...
Shravani Gunturu | | AKS, cloud abstraction layer, cloud portability, EKS, enterprise cloud strategy, enterprise Kubernetes, GitOps, GKE, hybrid cloud, hybrid cloud architecture, Kubernetes governance, Kubernetes platform, Kubernetes security, multicloud strategy, Openshift, openstack, platform engineering, private cloud Kubernetes, private Kubernetes, vendor lock-in
Building an Enterprise-Ready AKS Cluster: Architecture, Networking and Security Baselines
Running Azure Kubernetes Service (AKS) in enterprise environments requires more than just creating a cluster. This guide details the essential architecture, networking, security measures, and observability practices necessary for deploying robust AKS ...
Kubernetes Architecture Made Simple: A School Analogy
This beginner-friendly guide uses a school analogy to simplify Kubernetes architecture, explaining the roles of the Control Plane (administration) and Worker Nodes (classrooms) in orchestrating containerized applications. By likening components to familiar ...
Kubernetes in Docker (KinD): Setting Up a k8s Cluster in Under a Minute
Discover the evolution of Kubernetes management with KinD, allowing for quick, local multi-node cluster creation, enhancing visibility, and bridging gaps left by managed services for Kubernetes deployment and testing ...
Kubernetes Could Use a Different Linux Scheduler
A pair of Cambridge researchers have found a way to squeeze 10 – 20% more capacity from Kubernetes clusters, simply by making a tweak in the way the Linux kernel schedules jobs ...
Cluster API Update Makes Managing Kubernetes Environments Simpler
The maintainers of the Cluster Application Programming Interface (API) for Kubernetes clusters have released an update that makes it simpler to automatically trigger in-place updates to create or delete a machine. Version ...
Kubernetes and IPv6: Together at Last?
As administrators migrate their clusters from Ingress NGINX, which is being retired from the Kubernetes line-up next month, they might want to consider adding another task to their job: migrating their network ...
Kubernetes v1.35 Arrived, Right On Workload-Aware Schedule
Discover the latest enhancements in Kubernetes workload scheduling, including the Workload API and gang scheduling features aimed at optimizing application performance and management ...
Adrian Bridgwater | | autoscaling, cloud-native applications, Dynamic Resource Allocation, Gang Scheduling, kubernetes, Kubernetes v1.35, Multi-Node Scheduling, Opportunistic Batching, Performance Optimization, Pod Management, resource allocation, Scheduling Algorithms., Scheduling Improvements, Scheduling Latency, software engineering, Workload API, Workload Scheduling
Running Kubernetes in Production: Practical Lessons From the Field
Kubernetes has become the de facto platform for running containerized workloads at scale. While spinning up a cluster is relatively straightforward, operating Kubernetes reliably in production is far more challenging. Teams often ...

