How many Kubernetes clusters do you run, and how do you keep upgrades sane?
Fleet size, managed vs self-managed, and the tooling that keeps version upgrades from becoming a quarterly fire drill.
In short
Kubernetes is the widely used open-source system for running containers across a cluster of machines, handling scheduling, scaling, networking and recovery. Buyers mostly choose between managed services and distributions rather than Kubernetes itself, so upgrades, security defaults, support and the cost of running many clusters are where the differences show.
Written by Techarda editors · Updated · How we work
The newest Kubernetes stories from the last 90 days. Each one opens with our summary and a link to the original source.
Amazon GuardDuty now supports optional detection rules for Runtime Monitoring. You can enable more than 50 Runtime Monitoring rules that help detect process, file, and network activity that might be routine in one environment but a sign of compromise in another, such as modifying sudoers files or disabling audit logging. The new rules provide detections for Amazon EC2 instances, Amazon EKS, and…
Wiz CIRT responded to AI-driven attacks spanning cloud, Kubernetes, CI/CD, and identity. Learn how these attacks behave and how to detect them.
If you're a platform engineer, you've likely lived this: your team has assembled a toolchain for CI/CD, monitoring, security scanning, GitOps, and networking. Each tool does its specific job well, but over time, you realize you’re spending more hours maintaining the integrations between those tools than helping developers ship code. That's the real cost of tool sprawl. Yes, it’s increased…
Everything is moving faster in the age of AI, and that includes security threats. What used to take attackers weeks to exploit can now happen in just a few minutes. Standard vulnerability scans that run on artifacts at rest can catch basic setup issues, but to detect an attack that's actively happening you need real-time runtime protection. Today, we’re introducing the Wiz Runtime Sensor add-on…
The Model Context Protocol (MCP) gateway is now generally available (GA) as part of the Red Hat Connectivity Link 1.5 release, and natively integrated into the Red Hat AI portfolio. This follows a successful technology preview, and expands Red Hat's enterprise AgentOps capabilities to govern AI agent tool traffic at scale. We've added new features, including gateway isolation, stateless session…
Learn how Kubernetes Dynamic Resource Allocation raises GPU utilization, and what to watch to confirm it’s actually reducing your GPU costs.
In the 1980s, the spreadsheet was considered such a valuable tool that would make buying a computer just to run it worthwhile. The term coined to describe such an application was a killer app. Is there an equivalent for Red Hat OpenShift? When it comes to tools that boost the value of the platform as a whole, we need to look at Red Hat OpenShift operators. There are generally speaking 2 types of…
Showing the newest 60 of 107. The feed archive lists every story by month.
Stories say what companies announced. These threads are where people who work with Kubernetes compare notes.
Fleet size, managed vs self-managed, and the tooling that keeps version upgrades from becoming a quarterly fire drill.
For teams in financial services, government or healthcare: which did you choose and what tipped it: compliance evidence, support, cost or skills?
The active companies with the most Kubernetes stories in the last 90 days. It counts news coverage, not quality, market share or fit for your needs.
Where Kubernetes sits among the categories Techarda covers. Each hub shows who is active, and each guide sets out how to evaluate vendors.
Plain definitions of terms that come up in Kubernetes stories, from the Techarda glossary.
Not for every workload. If you run a handful of services, a managed container service or a platform as a service may be simpler. Kubernetes pays off when you run many services, need the same platform across environments, or have a team to operate it.
Managed services take away the work of running the control plane and are the default in public cloud. Self-managed distributions suit on-premises, edge or regulated environments that need one platform everywhere. Either way you still own the workloads, add-ons and upgrades.
The project releases new minor versions a few times a year and supports each for a limited period, so clusters need regular upgrades. Ask any provider how long it supports a version and how upgrades are carried out.
Software that runs inside the cluster and automates the care of one application, such as a database, by encoding tasks like backup, failover and upgrades.
Stories are filed under topics automatically from their headline and summary, so the odd one may sit in the wrong place. Spotted one, or a topic we should add? Email engage@techarda.com. All topics.