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| 🔗 Stories, Tutorials & Articles |
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| Demystifying Log Retention in Azure |
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| Azure logs come in three flavors: Activity Logs, Diagnostic Logs, and Log Analytics. Each with its own rules for retention and billing. The catch? Those differences aren’t quirks—they’re baked in. |
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| Observability for the Invisible: Tracing Message Drops in Kafka Pipelines |
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| When an event drops silently in a distributed system, it is not a bug, it is an architectural blind spot. Detect, debug, and prevent message loss in Kafka-based streaming pipelines using tools like OpenTelemetry, Fluent Bit, Jaeger, and dead-letter queues. Make sure observability gaps in event streams are addressed to make events accountable in high-scale messaging platforms handling millions of events. |
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| How FinOps Drives Value for Every Engineering Dollar |
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Duolingo’s FinOps crew didn’t just track cloud costs - they wired up sharp, automated observability across 100+ microservices. Real-time alerts now catch AI and infra spend spikes before they torch the budget.
They sliced TTS costs by 40% with in-memory caching. Dumped pricey CloudWatch metrics for Prometheus. Same insights, lower bill. |
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| Top 30 Argo CD Anti-Patterns to Avoid When Adopting Gitops |
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A new teardown of Argo CD anti-patterns calls out 28 common misfires—stuff like skipping Git for Application CRDs or stuffing Helm/Kustomize config right into Argo CD manifests. Yikes.
It pushes for a cleaner setup: use ApplicationSets instead of rolling your own YAML, turn on auto-sync/self-heal, and split your Git repos—one for source code, one for K8s manifests, one for CD logic. Keep the layers tidy. |
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| What are Error Budgets? A Guide to Managing Reliability |
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OneUptime shows how to put error budgets to work—keeping feature velocity in check without tanking reliability. The goal: ship fast, stay within SLOs.
They do it by tracking burn rates, syncing across teams, and tuning SLOs to match how users actually use the product. Less guesswork, more signal. |
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