Forecasting Cloud Costs with Predictive Analytics Models
Forecast cloud spend with trend, driver and hybrid predictive models to reduce variance, align budgets and trigger alerts for unexpected cost spikes.
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Blog posts in the Cloud Optimization category
Ultimate Guide to Scaling Stateful Applications
Guide to scaling stateful apps on Kubernetes: sharding, replication, StatefulSets, persistent storage, monitoring and autoscaling best practices.
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Argo Rollouts: Traffic Shaping for Kubernetes Deployments
Run canary and blue‑green deployments with Argo Rollouts: percentage, header and mirror traffic shaping, metrics-driven automation and automated rollbacks.
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Real-Time Cloud Cost Dashboards: Features to Look For
Compare real‑time cloud cost dashboards — automated data ingestion, anomaly detection, customisable views, precise alerts and multi‑cloud support to reduce waste.
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5 Steps to Develop Cloud Cost Allocation Policies
Five practical steps to allocate cloud costs: assess funding, choose a model, standardise tags, engage stakeholders and automate reporting.
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Micro-Segmentation in Hybrid Cloud: Key Strategies
Host-based, network-based and cloud-native micro-segmentation tactics for hybrid clouds — reduce lateral movement, protect workloads and support a Zero Trust model.
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Ultimate Guide to Multi-Cluster CI/CD Observability
Practical guide to centralising telemetry across Kubernetes clusters with Prometheus, Grafana and Jaeger; covers automation, baselines and cost optimisation.
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Managed vs Self-Hosted Databases: Pros and Cons
Compare managed and self-hosted databases: managed reduces maintenance and eases scaling; self-hosted gives full control and cost savings but needs expertise.
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Challenges in Cloud-Native Monitoring for Zero Downtime
Tackle cloud-native monitoring pain points—dynamic scaling, massive telemetry, fragmented data and alert fatigue—with tracing, AI detection and standards.
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Hybrid Cloud Transfers: Compression vs Deduplication
Compression vs deduplication for hybrid cloud transfers: practical use cases, CPU vs bandwidth trade-offs, and why dedupe-first then lossless compression delivers greatest savings.
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Spot Instances for Batch Workloads: Cost Savings
Cut batch-processing costs up to 90% with AWS Spot Instances; use diversification, checkpointing and AWS Batch to manage interruptions and keep jobs running.
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Zero Trust in Multi-Cloud Service Mesh: A Guide
Practical guide to Zero Trust in multi‑cloud service meshes: identity-based mTLS, policy automation, microsegmentation and performance tips for AWS, Azure, GCP.
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