platform engineering
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 ...
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 ...
pgEdge Adds Ability to Distribute Postgres Across Multiple Kubernetes Clusters
pgEdge has released a new Kubernetes-ready distribution of its open-source Postgres database, enabling deployments across multiple clusters for low latency, high availability, and horizontal scalability. Supporting Postgres versions 16–18, pgEdge Containers simplify ...
AI Agents Power Cloud-Native Transformation
AI agents are redefining cloud-native development by embedding intelligence into DevOps workflows — optimizing pipelines, automating debugging, and accelerating release cycles. Experts like Promevo CTO John Pettit explain how these autonomous systems ...
The Future of Cloud-Native DevOps, DataOps, FinOps and Beyond
Explore how cloud-native DevOps, DataOps, and FinOps are shaping the future of scalable, automated, and intelligent cloud application development ...
Machine Learning in Kubernetes: Why Trust, Not Tech, is Your Biggest Hurdle
Explore why trust—not technology—is the real barrier to ML-driven Kubernetes optimization and how intelligent automation builds confidence at scale ...
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 ...
Runtime Visibility & AI-powered Security in Cloud-Native Environments
Kubernetes and cloud-native platforms have transformed software delivery — but also redefined the attack surface. As threats shift to runtime, visibility and real-time response have become the new security frontline. AI-driven anomaly ...
LLMs & Kubernetes Configuration: Automating Hardening, Drift Detection and Policy Enforcement
Kubernetes misconfigurations remain the top security risk. AI copilots promise automated hardening, drift detection, and policy enforcement to make clusters safer ...
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 ...
