AskYoshik shares DevOps projects

DevOps projects are having a moment because people are tired of learning tools in isolation. You can memorize kubectl flags or Terraform syntax all week and still have no feel(t.co)from commit to production. That gap is what AskYoshik leaned into with a project-based DevOps thread on X — a practical map built around CI/CD, con(github.com)rastructure automation. (t.co) ### Who is AskYoshik? AskYoshik is Yoshik Karnawat, a site reliability and DevOps engineer w(devopscube.com)orm, Prometheus, Grafana, AWS, and automation among his main tools. That matters because the thread is not random “100 project ideas” content — it comes from someone working in the systems-and-reliability lane already. (github.com) ### What did he actually share? Basically, he surfaced a sequence of DevOps projects rather than a single tutorial. The focus is hands-on build work — set up CI/CD pipel(t.co)run workloads on Kubernetes, wire in monitoring, and manage infrastructure with Terraform. The value is the progression. Each step feeds the next instead of treating every tool like its own universe. (t.co) ### Why does that structure matter? Because DevOps is really about interfaces between tools. A Docker image matters because a pipeline bu(github.com)se something deploys to it. Prometheus and Grafana matter because production systems fail and someone has to see that fast. A good project series teaches those handoffs — code to build, build to artifact, artifact to deploy, deploy to monitor. (devopscube.com) ### Why not just study each tool separately? Turns out that is the trap. Tool-by-tool learning crea(t.co)mands, but not failure modes. You can recite what Helm does, but not why a bad values file breaks a rollout. Project-based learning forces you into the messy middle — networking, secrets, state, broken pipelines, bad manifests, and observability gaps. That is much closer to real work. (github.com) ### Why are CI/CD and Kubernetes the center? Because that is where modern d(devopscube.com), repeatably, and with rollback paths. CI/CD handles the automation. Kubernetes handles the runtime. The rest of the stack exists to support those two jobs — Docker packages the app, Terraform provisions the base, Helm templatizes deployments, ArgoCD keeps clusters aligned with Git, and Prometheus/Grafana tell you when reality diverges from the plan. (devopscube.com) ### Wh(github.com) beginners skip because it feels less exciting than deployment. But it is the part that tells you whether your deployment actually worked. Prometheus collects metrics. Grafana turns those metrics into dashboards and alerts. Without that layer, a “successful” rollout can just mean your CI job went green while users are getting errors. (computingforgeeks.com) ### So who is this useful for? Early-career DevOps engin(devopscube.com)nyone trying to build a portfolio that looks like operations instead of coursework. Hiring managers can’t infer much from “I watched a Docker course.” They can infer a lot from “I built a pipeline, provisioned infra, deployed to Kubernetes, and instrumented the stack.” GitHub’s own project ecosystem around DevOps reflects how central portfolio work has become. (github.com)ignal about how DevOps is best learned now. Not as a glossary. As a chain of working systems. If you want the skill to feel real, build the whole path — then break it, fix it, and instrument it. That is the job.