AI in DevOps: Predictive Scaling Use Cases
Use forecast-led predictive scaling with reactive fallback to reduce latency and cloud spend for repeatable workloads.
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Blog posts in the Cloud Optimization category
Observability in Multi-Cloud Service Mesh
Standardise telemetry, run per-cluster collectors and centralise only essential aggregates to unify metrics, logs and traces across clouds.
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Provisioned Concurrency For Cold Start Reduction
Cut serverless tail latency by pre-warming; size provisioned concurrency for p95/p99, test lighter runtimes and schedule to save cost.
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Ultimate Guide to AI Cloud Cost Auditing
Inventory AI cloud spend, assign ownership, detect anomalies, cut GPU and token waste, and set governance to lock in savings.
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FinOps Automation for Hybrid Cloud Cost Optimisation
Unify GBP cloud and on‑prem spend, assign ownership, then automate rightsizing, scheduling and policy checks to cut hybrid cloud costs.
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Multi-Cluster Workflow Scheduling: Cost Impacts
How multi-cluster CI/CD affects costs: save with rightsizing, spot nodes and data-local placement, and measure in £ per workflow.
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How Multi-Cluster Scheduling Reduces Cloud Costs
Lower cloud bills by treating clusters as one pool: better placement, rightsizing, autoscaling and policy controls.
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Multi-Cloud Cost Management: Problems and Solutions
Centralise billing, enforce same tags and owners, and match commitments to workloads to cut multi‑cloud waste and data egress costs.
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Right-Sizing Managed Search Services
Cut search costs and improve reliability: keep shard sizes 10–50 GB, match replicas to failure needs, tier old data and review sizing regularly.
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5 Network Segmentation Strategies for Private Clouds
Layered private‑cloud segmentation — VLAN/VRF, microsegmentation, security groups, SDN and compliance — to limit lateral movement and reduce audit scope.
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Hybrid Cloud Workload Placement: Cost vs Performance
Score workloads by cost, latency, data locality and compliance to place them on‑prem, private, public or edge, and review placement regularly.
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SLOs and SLIs for Cloud-Native Applications
Use user-focused SLIs, set SLO targets and manage error budgets to guide releases, scaling and cloud spend.
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