Devops Management | Hokstad Consulting

Devops Management

Blog posts in the Devops Management category

AWS vs Azure vs GCP: Data Transfer Costs

Compare AWS, Azure and GCP egress rates, free tiers, cross‑region/zone fees and practical ways to cut cloud data transfer costs.

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How RBAC Secures API Gateways

How RBAC protects API gateways: define roles, enforce via IAM, integrate with JWT/OAuth, monitor logs and audit access.

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Retry and Backoff in Distributed Systems

Retry and backoff best practices for distributed systems: exponential backoff with jitter, retry budgets, idempotency, and circuit breakers.

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Integrating Performance Testing into CI/CD Pipelines

Automate smoke, load, stress and soak tests in your CI/CD pipeline to catch bottlenecks early and enforce p95, throughput and error gates.

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Top 7 Tools for Workload Orchestration

Seven leading workload orchestration tools compared by deployment, scalability, integrations and pricing to help you pick the right fit.

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AI in Cloud Cost Scenario Modelling

AI-driven scenario modelling makes cloud costs predictable and reduces overspend for clearer budgeting.

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5 Common CI/CD Errors and How to Fix Them

Fix five common CI/CD pipeline problems—testing, complexity, environment drift, monitoring gaps and hardcoded secrets with practical fixes.

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Zero Downtime Deployments with Terraform

Use Terraform lifecycle rules, blue/green, rolling and canary strategies with health checks to update infrastructure without service interruptions.

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How to Integrate RBAC Automation into CI/CD Pipelines

Automate RBAC in CI/CD to enforce least privilege, manage roles with IaC and OIDC, detect drift and keep pipelines auditable.

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5 Steps to Map Vulnerability Scanning to Compliance

Five practical steps to align vulnerability scans with PCI DSS, ISO 27001 and NIS2: scope, asset inventory, scanning, remediation and monitoring.

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Best Practices for Vulnerability Scanning in Hybrid Clouds

Guidance on continuous hybrid-cloud scanning: agent vs agentless tools, CI/CD integration, CVSS/EPSS prioritisation and automation.

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AI in Pipeline Disaster Recovery: Risks and Benefits

AI boosts pipeline recovery with predictive detection and automated fixes, but requires human oversight for data gaps and novel faults.

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