AI in Event-Driven DevOps Workflows
AI-driven event-based DevOps: predictive triggers, autonomous agents, real-time scaling and policy guardrails to reduce MTTR and speed deployments.
Read moreBlog posts in the Cloud Optimization category
AI-driven event-based DevOps: predictive triggers, autonomous agents, real-time scaling and policy guardrails to reduce MTTR and speed deployments.
Read morePractical guidance to standardise tools, centralise secrets and optimise costs while scaling CI/CD across AWS, Azure and Google Cloud.
Read moreHow to reduce buffering, shorten start-up times and cut costs with data-driven CDN strategies: real-time monitoring, multi-CDN, AI caching and edge tuning.
Read moreLoad balancers add predictable hourly fees, while auto scaling cuts compute waste — combining both usually delivers the best performance-to-cost balance.
Read moreAutomate spot instance provisioning and interruption handling with Auto Scaling, infrastructure-as-code and orchestration tools to cut cloud costs and keep services reliable.
Read moreAnalysis of cloud pricing models, waste drivers and practical fixes - PAYG, Reserved and Spot strategies, autoscaling and AI-driven right-sizing cut costs.
Read moreSpot instances can cut CI/CD compute costs by up to 60% while preserving performance through phased migration, instance diversification and automated retries.
Read morePrepare and negotiate cloud commitment renewals: forecast demand, identify idle resources, choose the right commitment type and avoid costly auto‑renewals.
Read morePay-as-you-go cloud pricing charges only for resources used, prevents overprovisioning and lowers bills through scaling, scheduling and rightsizing for variable workloads.
Read morePractical guide to integrating E2E tests into CI/CD: plan workflows, prepare Docker/headless browser infrastructure, choose tools, parallelise tests and troubleshoot flakiness.
Read moreStandardise tagging, account design, FinOps and governance across AWS, Azure and GCP to improve visibility and cut multi-cloud spend.
Read moreReduce cloud costs with Cluster Autoscaler: set accurate resource requests, tune scale-up/down, optimise node groups, prefer cheaper capacity, and monitor logs.
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