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.
Read moreBlog posts in the Performance category
Embed observability, optimise queries, caching and storage, and add CI/CD checks and AI monitoring to cut latency and cloud costs in DevOps.
Read moreKubernetes traffic splitting lowers deployment risk and cost by routing a small share to a canary, monitoring and enabling quick rollbacks.
Read moreAI predicts CI/CD failures by spotting signals in logs, tests and metrics — shifting teams from firefighting to prevention.
Read moreHow CDN charges work and how to cut bills: bandwidth, request fees, cache misses, regional pricing, optimisation and monitoring.
Read moreRun fast, isolated unit tests early in CI/CD, use JUnit XML reports, parallelise suites and monitor flaky tests for reliable pipelines.
Read moreManage service mesh configs using version control, preflight validation, staged rollouts, observability and fast rollback to avoid outages.
Read moreTroubleshoot CI/CD build failures with logs, local reproduction, linters and debug traces to reduce downtime and prevent repeats.
Read morePractical, low-risk strategies for zero‑downtime Istio upgrades in large Kubernetes environments using canaries, parallel control planes and monitoring.
Read moreAPI gateways are the frontline for enforcing rate limits and throttling to protect backends and ensure fair traffic.
Read moreRetry and backoff best practices for distributed systems: exponential backoff with jitter, retry budgets, idempotency, and circuit breakers.
Read moreAutomate smoke, load, stress and soak tests in your CI/CD pipeline to catch bottlenecks early and enforce p95, throughput and error gates.
Read moreFix five common CI/CD pipeline problems—testing, complexity, environment drift, monitoring gaps and hardcoded secrets with practical fixes.
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