Features
BellSoft’s 3-in-1 Strategy for Container Security
BellSoft debuts Hardened Images for Kubernetes, reducing vulnerabilities with locked, lightweight containers built on Alpaquita Linux and Liberica JDK for secure performance ...
Jeff Burt | | 3-in-1 approach, AI threats, Chainguard, cloud native security, cloud security, container hardening, container incidents, container security, container vulnerabilities, containerized applications, CVE remediation, distroless containers, hardened containers, Hardened Images, Java runtime optimization, kubernetes, lightweight Linux, regulatory compliance, runtime security, secure container images, secure DevOps, software supply chain, Vulnerability Management
Buoyant to Add MCP Support to Linkerd Service Mesh
Buoyant has announced it plans to add support for the Model Context Protocol (MCP) to the open source Linkerd service mesh for Kubernetes clusters. Company CEO William Morgan said that capability will ...
Devtron Adds AI Agents to SRE Platform for Kubernetes Environments
Devtron today revealed it has added artificial intelligence (AI) agents to its open source platform for automating site reliability engineering (SRE) workflows across Kubernetes environments. Announced at the Kubecon + CloudNativeCon North ...
Causely Adds MCP Server to Causal AI Platform for Troubleshooting Kubernetes Environments
Causely introduces a Model Context Protocol (MCP) server that uses causal AI to help developers and SREs diagnose, understand, and fix Kubernetes and application issues directly from their IDE — reducing downtime ...
Mike Vizard | | AI diagnostics, AI for DevOps, AI remediation, causal AI, cloud native, cloud operations, DevOps AI tools, IDE integration, Kubernetes clusters, Kubernetes troubleshooting, MCP server, mean time to remediation, Model Context Protocol, MTT, site reliability engineering, SRE automation
Komodor Extends Autonomous AI Agent for Optimizing Kubernetes Clusters
Komodor today added autonomous self-healing and cost optimization capabilities to an artificial intelligence (AI) platform designed to automate site reliability engineering (SRE) workflows across Kubernetes environments. Company CTO Itiel Shwartz said those ...
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 ...
Nathan Eddy | | AI agents, AI code reviewer, AI in DevOps, AI in software engineering, AI observability, AI-powered debugging, autonomous systems, CI/CD optimization, cloud infrastructure management, cloud-native transformation, DevOps automation, intelligent automation, platform engineering, shift left security, software delivery lifecycle (SDLC)
Sidero Labs to Extend Scope of Talos Linux Platform for Kubernetes
Sidero Labs plans to add an ability to deploy applications to the Omni management framework it provides for Talos Linux, a lightweight distribution of Linux that includes an instance of Kubernetes that ...
Kubernetes or Chaos: The Risks of Running AI Workloads Without Orchestration
When AI environments aren’t orchestrated, the result is GPU waste, job starvation, dependency conflicts, and runaway cloud bills. It’s like running a data center without a traffic controller—everything eventually collides. Most organizations ...
Why Docker Matters for Data Science
Docker containers make data science projects portable and reliable, eliminating version conflicts and missing libraries and making it easy for teams to share and run data science projects in the exact same ...

