Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

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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Challenges in Cross-Region CI/CD Pipelines

Fix latency, tooling drift, observability gaps, security and cost in multi‑region CI/CD using automation, IaC, regional agents and centralised monitoring.

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Real-Time APM: Best Practices for DevOps Teams

Practical guide for DevOps: implement real-time APM with P95/P99 metrics, distributed tracing, RUM and synthetic monitoring to reduce downtime and MTTR.

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Pay-As-You-Go vs Reserved Pricing: Cost Analysis Guide

Compare PAYG and reserved cloud pricing to learn savings, risks and when to reserve versus use on‑demand for lower, more predictable costs.

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Ultimate Guide to AI Testing in CI/CD

AI-driven testing automates test creation, self-heals flaky tests and speeds CI/CD with intelligent test selection, monitoring and performance metrics.

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Top Tools for Multi-Cloud Cost Monitoring

Compare top multi-cloud cost monitoring tools, features to prioritise, and expert services to reduce AWS/Azure/GCP spend and automate optimisation.

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Ultimate Guide to Debugging Multi-Cluster Pipelines

How to diagnose and fix performance, resource and configuration issues in multi-cluster CI/CD using metrics, logs and traces.

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Monitoring Event-Driven Systems: Key Metrics

Monitoring event-driven systems demands measuring latency, traffic, errors and saturation — plus MELT and tracing — to avoid silent failures.

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