observability
Navigating the Ingress NGINX Sunset: Four Migration Strategies and How to Choose
Ingress NGINX reached end-of-life in March 2026. Explore four migration strategies—alternate controllers, forks, direct Gateway API migration, and dual-support controllers (e.g., Traefik Ingress NGINX Provider)—plus a three-phase audit→swap→modernize plan for zero-downtime transition ...
Emile Vauge | | configuration translation., controller fork, gateway, gateway API, HTTPRoute, ingress annotations, Ingress controller, ingress controller migration, Ingress NGINX, Ingress NGINX EOL, ingress-nginx-migration, IngressNightmare, kubernetes, Kubernetes control plane, Kubernetes networking, migration strategies, multi-tenant networking, observability, phased migration, production stability, security patches, Traefik Ingress NGINX Provider, zero-downtime migration
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
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 ...
Designing Reliable Data Pipelines in Cloud-Native Environments
Discover how to design reliable data pipelines in cloud-native environments, emphasizing disciplined design decisions, observability, and team ownership to ensure data integrity and system reliability amidst constant change ...
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 ...
Best of 2025: The Observability Evolution: How AI and Open Source are Taming Kubernetes Complexity
As Kubernetes environments grow increasingly complex, next-generation observability tools featuring intuitive dashboards, AI-driven insights and open-source innovations are helping DevOps teams reduce complexity and democratize access across IT roles. The Complexity Challenge ...
Overcoming Cloud-Native Observability Challenges: Dealing With High Data Volume and Dynamic Environments
In today’s fast-paced digital world, companies are increasingly relying on cloud-based architectures to deliver flexible and scalable applications. However, with this transformation comes a complex challenge: Monitoring and managing these highly dynamic ...
From Chaos to Control: Managing Kubernetes Add-Ons at Scale
Learn how to manage Kubernetes add-ons at scale with better visibility, drift detection and automation to improve reliability and performance ...
Observability for Microservices vs Monoliths: Strategies that Worked in 2025
Learn how observability strategies differ between monolithic and microservice architectures. Explore challenges, best practices and tooling for DevOps and SRE teams in 2025 ...
Neel Shah | | AI-driven observability, centralized logging, DevOps observability strategies, distributed tracing, dynamic infrastructure observability, Grafana Honeycomb Middleware, microservices monitoring, microservices vs monoliths, monolith performance monitoring, observability, observability tools 2025, OpenTelemetry, scalable telemetry ingestion, service metrics, smart alerting, SRE best practices, telemetry data, tracing context propagation
Survey Surfaces Myriad Kubernetes Networking Challenges
New survey data shows Kubernetes networking complexity rising, with teams struggling across observability, egress, multi-cluster security, and tool sprawl—highlighting the growing need for platform engineering and unified networking approaches ...
Mike Vizard | | cloud-native networking, container networking, debugging, devops, eBPF, egress control, Kubernetes clusters, Kubernetes networking, Kubernetes security, load balancing, microservices, multi-cluster networking, network management complexity, network transparency., observability, platform engineering, SRE

