Harness's new ephemeral environment capability empowers teams to provision on-demand environments for their microservices, streamlining outer loop validation while reducing costs. By elevating environments to first-class status, this feature unifies infrastructure and microservices management in a single pane of glass.

It’s live! Environment Management is for organizations that want a simpler, self-service way for developers to deploy applications or provision infrastructure — powered by blueprint-driven guardrails, policy enforcement, and cost control. Shaping this alongside a design partner has made it even more impactful. Harish Doddala Manisha Sahasrabudhe Sunil Gupta Sandeepa KV

CI/CD is NOT just pipelines. It’s a Reliability System. Over the years, I’ve seen many teams focus only on “getting pipelines to run” — build, test, deploy. But in production systems, CI/CD is much more than that. A mature CI/CD system should answer: - Can we deploy safely multiple times a day? - Can we roll back instantly if something breaks? - Do we have visibility into failures and performance? - Are environments consistent and reproducible? In one of my recent implementations, we focused on: - YAML-based pipelines for version control - Environment-based deployments (Dev → QA → Prod) - Approval gates and automated testing - Rollback strategies using Helm - Integration with monitoring and alerts The result? - Faster releases - Reduced production issues - Better confidence across teams My key takeaway: CI/CD is not just about automation — it’s about building a reliable delivery system that teams can trust. #DevOps #CICD #Azure #Jenkins #Kubernetes #MLOps

𝗖𝗜/𝗖𝗗: 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝘃𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 Continuous Integration and Continuous Deployment (CI/CD) is standard in modern software delivery. But how does a traditional pipeline differ from a Kubernetes-native pipeline? Let’s break it down. 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗜/𝗖𝗗:  • Built around VMs or bare-metal servers.  • CI/CD tools deploy applications directly onto the infrastructure.  • Scaling requires manual provisioning or scripts.  • Environment parity between dev, test, and prod can be tricky. 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗜/𝗖𝗗:  • Pipelines deploy containerized applications into a Kubernetes cluster.  • Deployment strategies leverage Helm charts, Operators, and manifests.  • Autoscaling, rolling updates, and self-healing are built-in features.  • Environment consistency is inherent, what runs in dev/test runs identically in prod. 𝗕𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲: Conventional pipelines handle deployments; Kubernetes pipelines handle both deployment and orchestration, offering resilience, scalability, and consistency. If your team is moving to microservices or cloud-native apps, rethinking your CI/CD pipeline for Kubernetes is key. GIF credits: Govardhana Miriyala Kannaiah #DevOps #CICD #Kubernetes #CloudNative #Microservices #SoftwareEngineering

𝗖𝗜/𝗖𝗗: 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝘃𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 Continuous Integration and Continuous Deployment (CI/CD) is standard in modern software delivery. But how does a traditional pipeline differ from a Kubernetes-native pipeline? Let’s break it down. 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗜/𝗖𝗗: • Built around VMs or bare-metal servers. • CI/CD tools deploy applications directly onto the infrastructure. • Scaling requires manual provisioning or scripts. • Environment parity between dev, test, and prod can be tricky. 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗜/𝗖𝗗: • Pipelines deploy containerized applications into a Kubernetes cluster. • Deployment strategies leverage Helm charts, Operators, and manifests. • Autoscaling, rolling updates, and self-healing are built-in features. • Environment consistency is inherent, what runs in dev/test runs identically in prod. 𝗕𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲: Conventional pipelines handle deployments; Kubernetes pipelines handle both deployment and orchestration, offering resilience, scalability, and consistency. If your team is moving to microservices or cloud-native apps, rethinking your CI/CD pipeline for Kubernetes is key. #DevOps #CICD #Kubernetes #CloudNative #Microservices #softwareengineering

One of the most underestimated risks in IT implementation is lack of environment consistency. If your development, staging, and production environments are not aligned, you are effectively testing in a different system than the one you deploy. Typical consequences: “Works on my machine” scenarios Unexpected runtime failures in production Hidden performance issues that only appear under real load From a technical standpoint, the root cause is usually configuration drift and unmanaged dependencies. To mitigate this, a few practices are essential: ✔️ Infrastructure as Code (IaC) to standardize environments ✔️ Containerization to isolate dependencies ✔️ Automated provisioning pipelines to avoid manual setup errors Environment parity is not just a DevOps concept — it is a reliability requirement. Inconsistent environments introduce uncertainty. And in IT systems, uncertainty is where failures are born. #DevOps #InfrastructureAsCode #Reliability #ITImplementation

When working with CI/CD pipelines, keep these core principles in mind: Environments should be a foundational building block. Explicitly define and separate deployment targets like development, QA, staging, and production, each with appropriate guardrails for its risk level. Embrace the 'build once, deploy everywhere' principle with artifacts. This ensures repeatability and traceability, allowing you to pinpoint exactly what was deployed when troubleshooting. Finally, leverage caching to optimize your processes. What are your essential CI/CD principles? #CI/CD #DevOps #SoftwareDevelopment #TechTips #Automation

Our CI/CD pipeline was failing silently, costing us months of undetected errors. I was working on a cloud-native platform with a team of 10, deploying to production every 2 weeks. But our error rates were creeping up, and it took us 3 months to realize our pipeline was failing due to a misconfigured artifact repository. We tried increasing deployment frequency to daily, but that only doubled our error rates and woke us up to pager alerts every morning. What actually worked was implementing a custom alerting system. We set up alerts for repository connection errors and pipeline timeouts, which helped us identify and fix issues quickly. The lesson learned is that a CI/CD pipeline is only as good as its monitoring. → Verify artifact repository connections regularly. → Set up custom alerts for pipeline errors and timeouts. → Don't assume your pipeline is working just because it's not failing loudly. What is the most expensive CI/CD mistake your team has made? #CI/CD #CloudNative #DevOps

Independent deployment is a boundary decision with real operational impact. When services are deployed independently, coordination drops and change stays localized driving faster delivery, smaller blast radius, safer rollbacks, and leaner CI/CD. Complexity doesn’t disappear it shifts to well-defined boundaries, where it’s easier to manage. 🔗 Live demo: https://justgood.win/dk #Microservices #DistributedSystems #CICD #SoftwareArchitecture #DevOps

Too many alerts cause alert fatigue. DevOps teams need better signal, not more noise. A reliable uptime monitoring stack includes: - API uptime monitoring with actionable metrics - SSL monitoring API for certificate health - Incident management with ownership clarity - Transparent status pages to reduce support load SiteInformant is building this approach for developers and agencies managing uptime at scale. What’s your biggest uptime monitoring challenge today? https://lnkd.in/gM2Mfi8t #APIMonitoring #UptimeMonitoring #DevOps