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@kaptain shared a link, 2 weeks, 2 days ago
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Mirantis has entered into an agreement to be acquired by IREN

Mirantis has agreed to an acquisition by IREN. The companies have announced no customer-facing product changes... read more  

Mirantis has entered into an agreement to be acquired by IREN
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@kaptain shared a link, 2 weeks, 2 days ago
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What kubectl debug doesn’t tell you: The silent evidence gap

kubectl debugsessions leave almost no forensic trace: by design,EphemeralContainerStatushas nolastStateorrestartCount, so the exit code, session duration, target container, and debugger logs disappear from the Kubernetes API the moment anything else updates the pod. That breaks incident handoffs (th.. read more  

What kubectl debug doesn’t tell you: The silent evidence gap
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@kaptain shared a link, 2 weeks, 2 days ago
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Extending AI gateways with Rust

Every gateway ships with a set of built-in policies. Authentication. Rate limiting. Request routing. Prompt guards. These cover most use cases. But what about the ones they don’t cover? What if you need to add a custom header based on a database lookup? What if you need to transform a request body i.. read more  

Extending AI gateways with Rust
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@kaptain shared a link, 2 weeks, 2 days ago
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v1.36: Deprecation and removal of Service ExternalIPs

Kubernetes v1.36 deprecatesService.spec.externalIPsand starts the removal path, finally closing CVE-2020-8554, the trust-everyone hole the field has carried since the early days. The project has recommended disabling it via theDenyServiceExternalIPsadmission controller since v1.21, but SIG Network h.. read more  

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@kaptain shared a link, 2 weeks, 2 days ago
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When AI agents become contributors: How KubeStellar reached 81% PR acceptance

The KubeStellar Console team learned that AI coding agents improve after engineers build deterministic feedback loops into the codebase. Engineers who grant more autonomy give agents more room to guess, with no new correction signal... read more  

When AI agents become contributors: How KubeStellar reached 81% PR acceptance
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@kala shared a link, 2 weeks, 2 days ago
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How Code works in large codebases: Best practices and where to start

Anthropic breaks down the patterns behind successful Claude Code rollouts in monorepos, legacy systems, and codebases spanning thousands of developers, arguing that Claude Code performs agentic search over a live filesystem instead of relying on a RAG index that drifts out of sync with active engine.. read more  

How Code works in large codebases: Best practices and where to start
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@kala shared a link, 2 weeks, 2 days ago
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Create Custom MCP Catalogs and Profiles

Docker made Custom Catalogs and Profiles available for MCP servers. Admins can distribute server catalogs they approve, and teams can package per-developer configurations as OCI artifacts... read more  

Create Custom MCP Catalogs and Profiles
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@kala shared a link, 2 weeks, 2 days ago
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AI Is Doing the Testing Now

Brijesh Deb's third "comfortable lie" of software testing is that AI is now doing the testing: coverage dashboards hit 80%+, regression suites maintain themselves, and leadership concludes that risk is handled, while the experienced testers who knew the domain quietly get redeployed or made redundan.. read more  

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@kala shared a link, 2 weeks, 2 days ago
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Claude’s next enterprise battle is not models: it’s the agent control plane

New data shows Microsoft and OpenAI leading agent orchestration, but Anthropic's rising stake signals a shift in control of AI infrastructure. Anthropic's move from model to orchestration layer hints at a strategic battle over agent runtime platforms where operational AI work happens... read more  

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@kala shared a link, 2 weeks, 2 days ago
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Tokenomics: the 62.5-minute rule for Claude's cache

Ryan Skidmore works out the tokenomics of Anthropic's prompt cache and lands on a single rule: if you expect to need a cached prefix again within 62.5 minutes, keep refreshing it with cheap reads; past that, let it expire and rewrite, because a 5-minute cache write costs 1.25x base input and a read .. read more  

Tokenomics: the 62.5-minute rule for Claude's cache
At its core, Argo CD treats Git as the single source of truth for application definitions. You declare the desired state of your Kubernetes applications in Git (manifests, Helm charts, Kustomize overlays), and Argo CD continuously compares that desired state with what is actually running in the cluster. When drift is detected, it can alert you or automatically reconcile the cluster back to the Git-defined state.

Argo CD runs inside Kubernetes and provides:

- Declarative application management
- Automated or manual sync from Git to cluster
- Continuous drift detection and health assessment
- Rollbacks by reverting Git commits
- Fine-grained RBAC and multi-cluster support

It integrates natively with common Kubernetes configuration formats:

- Plain YAML
- Helm
- Kustomize
- Jsonnet

Operationally, Argo CD exposes both a web UI and CLI, making it easy to visualize application state, deployment history, diffs, and sync status. It is commonly used in platform engineering and SRE teams to standardize deployments, reduce configuration drift, and enforce auditability.

Argo CD is part of the Argo Project, which is hosted by the Cloud Native Computing Foundation (CNCF), and is widely adopted in production Kubernetes environments ranging from startups to large enterprises.