Hands-on DevOps guides for Git, CI/CD, infrastructure automation, containers, Kubernetes, observability, scripting, and platform engineering.
Operate Kubernetes as a service application teams can depend on. Define workload profiles, service objectives, upgrade evidence, disruption capacity, and recovery criteria before expanding the platform.
Run migration waves through explicit go/no-go gates, stop conditions, and recovery decisions. Track the point where production writes make reversal a data-reconciliation problem.
Capture the evidence needed to approve, execute, validate, and recover an infrastructure change. Preserve service outcomes, exceptions, decision ownership, and access-controlled records for the next engineer.
Build a migration factory around accepted business services. Organize dependencies, move groups, capacity, rehearsals, cutover authority, and recovery gates before retiring source environments.
Prove that backups can restore a usable business service. Test dependency order, data consistency, trust, and recovery objectives, then retain evidence of both results and remaining gaps.
TL;DR AI coding tools are reducing the effort required to produce software, but they are not removing the work required to make software safe, supportable, observable, and valuable. The constraint is moving downstream into architecture review, test design, security analysis, release governance, documentation, production operations, and cost control. CIOs should not treat lines of code, … Explore: Code Abundance, Operational Scarcity: Why AI-Generated Software Is…
TL;DR NVIDIA GPU monitoring needs more than a utilization chart. A production design should collect device telemetry with DCGM Exporter, scrape it with Prometheus, visualize fleet and workload behavior in Grafana, and alert on conditions that require action. The runbook must also preserve per-pod context, control metric cardinality, distinguish low utilization from genuine performance problems, … Explore: How to Monitor NVIDIA GPUs with DCGM Exporter,…
TL;DR Traditional logs tell operators what individual components recorded. Agent observability must answer a harder question: did an autonomous system remain inside its declared task, authorization boundaries, and approved methods across the complete sequence of actions? The required unit of detection is the trajectory. Prompts, tool calls, shell commands, identities, network destinations, package retrieval, privilege … Explore: Agent Observability Is Not Logging: How to Detect…
TL;DR A coding agent should enter a CI/CD pipeline as an untrusted change producer, not as a privileged developer account. Give it an ephemeral sandbox, read-only repository access, a writable workspace, tightly controlled network egress, no deployment credentials, and no direct path to a protected branch. The agent should produce a patch and evidence bundle. … Explore: How to Run Coding Agents Safely Inside CI/CD…
TL;DR NVIDIA NIM can be deployed on Kubernetes through Helm or managed declaratively through the NVIDIA NIM Operator. The operator-based path is the better fit when you want Kubernetes-native lifecycle management for model caching, GPU scheduling, health probes, service exposure, scaling, and upgrades. The practical sequence is straightforward, but the dependencies matter. Build a supported … Explore: How to Deploy NVIDIA NIM Microservices on Kubernetes…
Introduction Modern IT landscapes demand agility, transparency, and resilience. Traditional disaster recovery (DR) is often static, hard to audit, and slow to adapt. Enter Disaster Recovery as Code—a new paradigm where DR policies are codified, version-controlled, and delivered through repeatable automation. Leveraging Infrastructure-as-Code (IaC) principles, Nutanix admins, architects, and DevOps teams can bring cloud-native agility … Explore: Disaster Recovery as Code: Version-Controlled DR Policies for…
Table of Contents 1. Introduction Deep learning workloads are transforming enterprise AI. Running them efficiently at scale requires more than just powerful GPUs. Kubernetes has become the go-to platform for orchestrating modern, containerized machine learning environments. With Kubernetes, you get reproducibility, scalability, and deep integration with DevOps workflows. This tutorial and proof-of-concept guide shows how … Explore: Containerized Deep Learning: Running NVIDIA GPUs on VMware…
In the previous article we covered how to deploy an app using Docker Compose. In this article we will expand upon that and push our files to a GitHub Repo and connect the Repo to Travis CI for continual testing. Pre-reqs:Create a repository in Github – my example is docker-inferno Also, if you have not … Explore: Test/Dev Workflow Docker Compose pushed to GitHub &…
I wasn’t expecting to get so in-depth into namespaces but I had another question come up. What if you have multiple namespaces in your environment and you wanted to see them all. Also, what if you were trying to find a particular pod in an unknown namespace. My previous namespace articles:How to switch between namespaces … Explore: How to search all namespaces in Kubernetes
In my previous two articles I demonstrated how to create new namespaces with quotas. However, someone asked is it possible to switch to the new namespace instead of always being in the default namespace. Yes, yes you can. My previous two articles: As you can see when I issue the get pods commands it returns … Explore: How to switch between namespaces in Kubernetes
Yesterday I posted a blog article around how to create a new namespace for a new deployment and apply quotas. However, I immediately got several requests around is there an easier way to do this or apply quotas at the namespace level for all future pod creations. Personal best practice; I like creating a yaml … Explore: Kubernetes create namespace with default quotas
There are times when projects and team members accessing the projects grow. In order to keep these environments isolated we incorporate namespaces and to ensure these projects don’t exceed their resource limits we can impose quotas. In this article I will provide a couple definitions followed by a two-step process. In step 1, I will … Explore: Kubernetes create new namespace with quotas
As we continue to dig deeper and build off each article, I wanted to mimic a Test/Dev workflow leveraging Docker. Below we will create an image and use Docker Compose to deploy the application in our Dev Environment. In part 2. we will take the results of this blog and send to Travis CI for … Explore: Test/Dev Workflow using Docker Compose
In this article as we begin to progress forward with deploying containers I wanted to build on previous articles. In this article we will create a package.json and server.js file, create a Dockerfile and see if our web app works. Now let’s create a directory for our project: $ mkdir <name_of_project>$ cd <DIR> Deploy web … Explore: Deploy web app project running on a Docker…
I think Docker has the best explination of port mapping, “By default, when you create a container, it does not publish any of its ports to the outside world. To make a port available to services outside of Docker, or to Docker containers which are not connected to the container’s network, use the –publish or … Explore: Docker Port Mappings
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