devops
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
Cost Control for Kubernetes: Monitor, Right-Size, Govern
As Kubernetes moves from testbeds to production, managers are getting sticker shock from the bills a K8s deployment can incur. Whether hosted in-house or on a cloud provider, who knew cloud nativity ...
Gas Town: What Kubernetes for AI Coding Agents Actually Looks Like
Single AI coding agents are already reshaping how software gets built. But a harder question is emerging: What happens when one agent isn’t enough? Steve Yegge thinks he has the answer. The ...
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 ...
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
CNCF: Total Number of Cloud Native Developers Reaches 15.6M
CNCF’s latest report finds 15.6M developers skilled in cloud-native tech, with Kubernetes and container use dipping even as AI/ML and backend adoption expand ...
Mike Vizard | | AI cloud adoption, AI developers, API gateways, backend development, cloud developer statistics 2025, cloud monitoring, cloud native, Cloud Native Computing Foundation, cloud-native report, cloud-native trends, cncf, containers, developer experience, developer skills, devops, DX, event-driven architecture, hybrid cloud, IDP, internal developer portals, kubernetes, Kubernetes decline, microservices, ML developers, multicloud, observability tools, serverless computing, service mesh
VCF and Ubuntu Join Forces to Ease Friction in Private Cloud Development
Friction is the enemy of productivity. When developers are bogged down by infrastructure inefficiencies—particularly during container and VM deployments—their organization’s agility can suffer. Poor integration between containers, virtual machines, and guest operating ...
How Containerization Enhances Enterprise Mobile App Deployment?
Containerization is revolutionizing enterprise mobile app deployment by improving speed, consistency, scalability, and security. Learn how containers streamline CI/CD pipelines, enhance collaboration, reduce costs, and ensure reliability across environments for modern, cloud-native ...
Arun Goyal | | 5G, AI integration, app deployment, automation, CI/CD, cloud infrastructure, consistency, container security, containerization, devops, digital transformation, docker, edge computing, enterprise mobile apps, kubernetes, microservices, mobile development, orchestration, scalability, security
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 ...
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 ...
Yasmin Rajabi | | AI in DevOps, AI in infrastructure management, AI-driven automation, automated cloud governance, cloud cost optimization, cloud efficiency, container optimization, continuous optimization, developer trust, devops, FinOps, intelligent automation, KubeCon 2025, Kubernetes optimization, Kubernetes performance, Kubernetes resource management, Kubernetes trust gap, machine learning in Kubernetes, ML in cloud infrastructure, ML-based cost control, ML-powered rightsizing, platform engineering, platform reliability, predictive scaling

