How to Automate Unit Tests in CI/CD
Run fast, isolated unit tests early in CI/CD, use JUnit XML reports, parallelise suites and monitor flaky tests for reliable pipelines.
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Blog posts in the Devops Management category
Top CI/CD Patterns for Hybrid Cloud Environments
Centralised CI/CD with distributed runners, IaC and container workflows for secure, consistent hybrid cloud delivery.
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How to Manage Service Mesh Configurations
Manage service mesh configs using version control, preflight validation, staged rollouts, observability and fast rollback to avoid outages.
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Top Risks in CI/CD Pipelines and How to Detect Them
Automated CI/CD pipelines speed delivery but risk access misconfigurations, leaked secrets, vulnerable dependencies and artefact tampering.
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Scaling Microservices with Self-Healing Systems
Self-healing systems detect, diagnose and remediate microservice failures to cut downtime, costs and on-call fatigue.
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How to Debug Build Failures in CI/CD Pipelines
Troubleshoot CI/CD build failures with logs, local reproduction, linters and debug traces to reduce downtime and prevent repeats.
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Istio Upgrade Strategies for Large-Scale Systems
Practical, low-risk strategies for zero‑downtime Istio upgrades in large Kubernetes environments using canaries, parallel control planes and monitoring.
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Best Practices for Multi-Cluster Rightsizing in Kubernetes
Reduce cloud costs and boost reliability across multiple Kubernetes clusters with rightsizing, autoscaling and Policy-as-Code.
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Best Practices for Multi-Cluster Traffic Management
Scale and secure multi-cluster Kubernetes traffic with global load balancing, mTLS, service mesh and failover patterns.
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GitOps vs Traditional CI/CD for Kubernetes
GitOps enforces declarative, auditable, self-healing Kubernetes deployments unlike fragile push-based CI/CD.
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API Gateways: Role in Rate Limiting and Throttling
API gateways are the frontline for enforcing rate limits and throttling to protect backends and ensure fair traffic.
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Kubernetes Scaling Policies: Stateful vs Stateless
Compare Kubernetes scaling for stateful and stateless apps: speed, resource use, fault tolerance and cost trade-offs.
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