Senior Platform Engineer
Insights on cloud infrastructure, DevOps, and software engineering
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A production-ready setup for running PostgreSQL and S3-compatible storage on dedicated hardware, designed to be consumed by Kubernetes clusters via external services. This mirrors cloud-native patterns where databases are managed separately from compute clusters (like connecting GKE to Cloud SQL or EKS to RDS).
A secure, Slack bot that connects your workspace to Kagent's Kubernetes AI agents using the A2A (Agent2Agent) protocol
How to Create a Google Cloud Project (GCP) Step-by-Step
Cloud Engineer Reveals Top Job Hunting Strategies
The Secret to Getting Hired in Tech Quickly
Certified Kubernetes Application Developer Exam: What You Really Need To Know!
Blogging should be simple. For me, it’s about sharing my learning journey and reiterating what I’ve learned—whether it’s Kubernetes, Google Cloud, or any of the other technologies I work with.
I Tried Building My Own MCP Tool From Scratch
1. Quantum Computing in the Cloud Quantum computing has moved from theoretical research to practical applications, with cloud providers offering quantum-as-a-service (QaaS).
In Part 1, we deployed a simple application on Kubernetes. Now, let’s introduce Vault to manage secrets dynamically. Our goal is to populate an environment variable in the app with a secret stored in Vault. We will manually unseal Vault and use the Vault Agent Injector to handle secret injection.
Automating Translation File Uploads to Lokalise with GitHub Actions Recently, I faced the intricate challenge of automating the upload of translation files to Lokalise using GitHub Actions.
When diving into Kubernetes, having a reliable local development environment is crucial. In this post, I'll walk through setting up a local Kubernetes cluster using KIND (Kubernetes IN Docker) and deploying a simple application to it.
As developers, we often seek ways to replicate production environments locally. This becomes particularly challenging when working with Kubernetes and its rich ecosystem of tools like Argo Workflows and HashiCorp Vault.
ArgoCD has become a cornerstone for managing Kubernetes deployments, offering a declarative GitOps approach to continuous delivery. As deployments grow in complexity, the need for multi-source deployments becomes apparent, allowing for greater flexibility and integration with various tools.
1. AI as a Service: AI continues to dominate the tech landscape. With services like ChatGPT evolving rapidly, AI as a service allows businesses to leverage AI without deep technical knowledge. This trend makes AI tools and integration services more accessible, driving widespread adoption. 2.
Today, we're diving into how to transform your GitHub profile from basic to brilliant. Whether you're new to GitHub or a seasoned coder, showcasing your skills and projects effectively can make a huge difference. Why Enhance Your GitHub Profile.
Today, I’m sharing my journey to passing the GCP Professional Cloud Architect exam in 2023. Overview of the Exam The GCP Professional Cloud Architect exam is designed for IT professionals with over three years of industry experience and at least one year of designing solutions on Google Cloud.
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