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| 🔗 Stories, Tutorials & Articles |
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| Terraform is dead |
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| Graham Gilbert argues Terraform is effectively dead, kept alive only by inertia: HCL forced engineers to translate intent (the diagrams, paragraphs, and constraints that actually describe systems) into a DSL that nobody naturally thinks in, while fragmenting infrastructure, application logic, policies, and diagrams across representations that never stay in sync. AI removes that translation layer by working directly from diagrams and natural language, interrogating intent, and producing executable code, which makes a static DSL in the middle redundant. If he were starting today, he'd skip HCL entirely and build an intent layer backed by general-purpose code, closer in spirit to Pulumi than Terraform. |
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| AI in SRE: What's Actually Coming in 2026 |
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| AI in SRE is evolving, with true value in Root Cause Analysis and Pre-Change Impact Analysis, not autonomous remediation or AI replacing SREs - it's about collaboration and focus evolution. |
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| Shift Left Did Not Fix It |
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| Shift left has become a buzzword, but merely moving testing earlier doesn't address the core issue of authority and decision-making in quality assurance. AI may offer quicker testing, but it doesn't comprehend risk like human testers do - beware the dangerous lie that AI can replace thorough, critical testing. |
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| Finding zombies in our systems: A real-world story of CPU bottlenecks |
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After a network outage crisis, Pinterest's ML Platform team discovered high Kubernetes agent CPU usage was causing critical Ray training job failures.
The team's deep profiling strategy revealed a rarely seen flaw in how Kubelet was handling memory cgroup iterations. |
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| The invisible engineering behind Lambda’s network ✅ |
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| AWS engineers explain how the Lambda team rebuilt VPC networking so they can keep per-invocation setup off the hot path and run dense microVM workers at scale. |
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