AWS Auto Scaling: Best Practices for Performance
Set proper min/max capacity, use baked AMIs, choose workload metrics, enable 1‑minute monitoring and tune warmup for steady Auto Scaling.
Read moreBlog posts in the Cloud Optimization category
Set proper min/max capacity, use baked AMIs, choose workload metrics, enable 1‑minute monitoring and tune warmup for steady Auto Scaling.
Read moreAlign access with cost ownership, protect tags and budgets, enforce separation of duties and run regular audits to reduce cloud waste.
Read moreAI-driven schedulers can cut hybrid cloud cost, latency and energy; pilot them with guardrails to manage drift, overhead and compliance risk.
Read moreTune serverless memory and timeouts from production metrics; test 2-3 tiers to minimise cost per invocation while meeting p95/p99 latency.
Read moreIf one fault can stop traffic, it's a design issue—align hybrid cloud topology to RTO/RPO with dual paths, auto failover and matched security.
Read moreStop hiding cloud egress—separate, normalise and report transfer routes and £ to expose avoidable network spend.
Read moreExplains cross-region transfer, destination storage and service fees across S3, RDS, Aurora and EBS, with practical cost-saving steps.
Read moreCompare top cloud cost reporting tools for AWS, Azure and GCP — focus on allocation, multi‑cloud, Kubernetes and finance exports.
Read moreDon't buy the list price — compare CI/CD pricing models and factor hidden costs: compute, storage and engineer time.
Read moreForecasts only matter if they change money decisions — tie one clean forecast to an owner and push it into budgets, alerts and reviews.
Read moreSmall latency gaps hide bigger trade-offs; region choice, storage tier and autoscaling usually decide which cloud is best for UK apps.
Read morePractical guide to safe Kubernetes rolling deployments: set probes, handle SIGTERM, tune maxSurge/maxUnavailable, monitor and rollback.
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