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<div style="display: none; max-height: 0px; overflow: hidden;">Kubernetes networking is evolving to support AI workloads and VMware migrations through eBPF and Cilium, driving VM convergence </div>
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<h1><strong>TLDR DevOps <span id="date">2026-01-26</span></strong></h1>
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<strong>Users spike. Your stress level doesn't have to. (Sponsor)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Traffic surges are supposed to be good news. But when your infrastructure can't keep up, that "we're going viral 🎉" moment can easily turn into “everything is down and needs fixing right now.”<p></p><p>👉 Ditch the stress-coding with <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2Fe5Eq0N/3/0100019bfa442923-bff7c1e4-18e0-477d-b5bc-4f1d645caf0a-000000/GKcOPmYnDUWnOv7gzhMdqDvdu-pHwIe_W945JSJAhMI=441" rel="noopener noreferrer nofollow" target="_blank"><span>Microsoft Azure.</span></a></p>
<p>Azure autoscales and optimizes performance behind the scenes, so you can roll out features without worrying about downtime or slowdowns.</p>
<p>🌎 With more global regions than any other cloud provider, Azure gives you the headroom to grow — without the growing pains.</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2Fe5Eq0N/4/0100019bfa442923-bff7c1e4-18e0-477d-b5bc-4f1d645caf0a-000000/H9miPCsS6qAbX9zb0sej1Q5c6QVhbuRQ8324gVAg76c=441" rel="noopener noreferrer nofollow" target="_blank"><span>Take the stress out of scaling with Azure 😌</span></a>
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<strong>2026 Kubernetes and Cilium Networking Predictions (4 minute read)</strong>
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Kubernetes networking is evolving to support AI workloads and VMware migrations through eBPF and Cilium, driving VM convergence, tougher KubeVirt operations, renewed microsegmentation, and the rise of hybrid network operators as networking becomes central to platform strategy.
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<strong>Using MCP Servers with Docker: Tools to Multi-Agent (4 minute read)</strong>
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Docker has introduced an ecosystem to simplify integrating Model Context Protocol (MCP) servers with large language models, offering the MCP Catalog and Toolkit for streamlined setup, cagent for building multi-agent systems, and seamless compatibility with advanced agent frameworks like LangGraph. These tools address common challenges such as runtime complexity, secret injection, and client-to-server wiring by leveraging Docker containers and the open-source MCP Gateway.
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<strong>From AI agent prototype to product: Lessons from building AWS DevOps Agent (9 minute read)</strong>
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This post describes lessons from building the AWS DevOps Agent, outlining five mechanisms to productionize agentic systems: evals, fast feedback loops, trajectory visualization, intentional changes, and production sampling. It details how these practices improve reliability, accuracy, and cost efficiency in incident response.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fblog%2Fengineering%2Finfrastructure%2Frethinking-hfds-block-placement-for-exabyte-scale-clusters%3Futm_source=tldrdevops/1/0100019bfa442923-bff7c1e4-18e0-477d-b5bc-4f1d645caf0a-000000/zrp-HSCEOdr-CGD1rS2AFzM3aLzv3UEQphb6qhclup4=441">
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<strong>Scaling maintenance: Rethinking HDFS block placement for exabyte-scale clusters (9 minute read)</strong>
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To address challenges in maintaining its massive ~5 exabyte Apache Hadoop clusters, LinkedIn re-engineered its Block Placement Policy (BPP) and redistributed over 3 exabytes of existing data, successfully eliminating data replication during maintenance operations. This crucial change significantly improved maintenance velocity, allowing daily upgrades for approximately 4.5% of datanodes while unclogging the network and bolstering HDFS reliability and security.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.tigera.io%2Fblog%2Fingress-security-for-ai-workloads-in-kubernetes-protecting-ai-endpoints-with-waf%2F%3Futm_source=tldrdevops/1/0100019bfa442923-bff7c1e4-18e0-477d-b5bc-4f1d645caf0a-000000/MicFOfllclaEO5FA8abtvLFXBy2P74o0cpJgAaH3OhY=441">
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<strong>Ingress Security for AI Workloads in Kubernetes: Protecting AI Endpoints with WAF (6 minute read)</strong>
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The transition of AI workloads to production within Kubernetes has exposed critical security vulnerabilities in traditional ingress controllers, necessitating advanced Layer 7 inspection and context-aware gateways with WAF capabilities to protect expensive GPU resources from threats like LLM Jacking and prompt injection.
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<h1><strong>Resources & Tools</strong></h1>
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<strong>Peak traffic shouldn't mean peak anxiety (Sponsor)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Traffic skyrocketing? If you're on <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FoArX3j/1/0100019bfa442923-bff7c1e4-18e0-477d-b5bc-4f1d645caf0a-000000/ONTkzX7WHs5QG-Mk1tOJPX2vyMIJFPrLn-hATJk1hg4=441" rel="noopener noreferrer nofollow" target="_blank"><span>Microsoft Azure</span></a>, there's no reason to panic. When user demand spikes, Azure adjusts capacity in the background. Performance stays steady with no manual intervention, no late-night firefighting, and no scrambling to explain why the site went down during the big launch. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FoArX3j/2/0100019bfa442923-bff7c1e4-18e0-477d-b5bc-4f1d645caf0a-000000/qeero7o8MiTmLO8wH0L_NvRqO1qMYykQZmXBSNG7gEQ=441" rel="noopener noreferrer nofollow" target="_blank"><span>Build without limits with Azure</span></a>
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<strong>Context7 (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Context7 MCP Server delivers up-to-date, version-specific code documentation and examples directly to LLMs and AI code editors, aiming to prevent outdated information and "hallucinated" APIs. Available for integration with platforms like Cursor and Claude Code, the server pulls current library details into prompts, though its community-contributed documentation is not guaranteed for accuracy.
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<strong>make-argocd-fly (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
make-argocd-fly generates Kubernetes manifests and ArgoCD Applications from Helm, Kustomize, and Jinja2 templates, implementing the Rendered Manifest Pattern. This automates pre-rendering manifests outside the cluster, organizing them by environment and generating ArgoCD Application resources, which makes Git a single source of truth for deployed Kubernetes resources.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines (4 minute read)</strong>
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