Graceful Degradation in Microservices: Key Patterns
Keep core microservice functions running during failures using circuit breakers, fallbacks, timeouts, bulkheads and async workflows.
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Blog posts in the Performance category
Checklist for API Gateway Performance Tuning
Practical checklist to reduce API gateway latency and costs: connection reuse, compression, caching, tuning, monitoring and scaling.
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Best Practices for Data Access Optimisation in DevOps
Embed observability, optimise queries, caching and storage, and add CI/CD checks and AI monitoring to cut latency and cloud costs in DevOps.
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Kubernetes Traffic Splitting for Canary Deployments
Kubernetes traffic splitting lowers deployment risk and cost by routing a small share to a canary, monitoring and enabling quick rollbacks.
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How AI Predicts Failures in DevOps Pipelines
AI predicts CI/CD failures by spotting signals in logs, tests and metrics — shifting teams from firefighting to prevention.
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Ultimate Guide to CDN Billing Insights
How CDN charges work and how to cut bills: bandwidth, request fees, cache misses, regional pricing, optimisation and monitoring.
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How to Automate Unit Tests in CI/CD
Run fast, isolated unit tests early in CI/CD, use JUnit XML reports, parallelise suites and monitor flaky tests for reliable pipelines.
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How to Manage Service Mesh Configurations
Manage service mesh configs using version control, preflight validation, staged rollouts, observability and fast rollback to avoid outages.
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How to Debug Build Failures in CI/CD Pipelines
Troubleshoot CI/CD build failures with logs, local reproduction, linters and debug traces to reduce downtime and prevent repeats.
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Istio Upgrade Strategies for Large-Scale Systems
Practical, low-risk strategies for zero‑downtime Istio upgrades in large Kubernetes environments using canaries, parallel control planes and monitoring.
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API Gateways: Role in Rate Limiting and Throttling
API gateways are the frontline for enforcing rate limits and throttling to protect backends and ensure fair traffic.
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Retry and Backoff in Distributed Systems
Retry and backoff best practices for distributed systems: exponential backoff with jitter, retry budgets, idempotency, and circuit breakers.
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