🔐 Tired of manually unsealing Vault when Kubernetes pods restart?
New blog: Transit auto-unseal for HA Vault, covering setup, security, Helm and migrating from Shamir without data loss.
👉
#Vault#Kubernetes#DevOps
Getting random 502 Bad Gateway errors during Kubernetes deployments?
Your .NET application is probably shutting down before traffic is drained.
Master Core graceful shutdown & health probes.
#dotnet#kubernetes#devops#cloudnative
Jira Data Center goes read-only on March 28, 2029, but upgrades and Marketplace sales freeze by March 2028 ⚠️
Migrations take years, so do not wait until you are locked in.
Plan your move early with Inflectra:
#Jira#DevOps#EnterpriseIT
If you're getting into DevOps, you might think it sounds expensive. Lots of paid tools, right?
Well, not necessarily.
Here, Emidowojo helps you build a production-ready DevOps pipeline with free tools like GitHub Actions, Terraform, Docker, and more.
CI/CD Pipeline: From Code to Production
① Checkout Code
② Maven Build
③ SonarQube Analysis
④ Trivy Security Scan
⑤ Docker Build
⑥ Push to Amazon ECR
⑦ Deploy to Amazon EKS
⑧ Verify Deployment
Automate every step. Ship secure, reliable applications faster.
#DevOps#CICD
Hey @X
Looking to #connect with
- Full stack Engineer
- Backend Engineer
- AI Engineer
- DevOps Engineer
- Tech people
Let’s connect and share your journey!#tech#DevOps
7 DevOps projects that will help you get hired in 2026.
Save it✅
1. GitOps on EKS: Terraform + GitLab CI + ArgoCD.
Zero-downtime deployments: Blue-green/canary releases with auto-rollback.
2. Advanced Terraform: Multi-environment infrastructure with remote state.
3. Observability stack: Prometheus + Grafana + Loki.
4. Cloud cost optimization: Automate idle resource detection and AWS cost savings.
5. Disaster recovery: Automated backups and cross-region recovery.
Secrets management: AWS Secrets Manager/Vault with automatic rotation.
Don’t just upload code to GitHub. Document your architecture, explain your decisions, and show measurable results.
Build these projects, and you’ll have something solid to talk about in your next Devops interview.
Cloud engineer vs DevOps engineer: same tools, different focus.
Cloud engineers own the infrastructure apps run on. DevOps engineers own the process of building, testing, deploying and operating them.
Where do you draw the line?
#DevOps#CloudComputing#AWS
Most DevOps tools sound confusing until you hear them as simple jobs. Here's the entire modern stack in plain English.
Docker is the standard shipping container. It packages your app, dependencies, and runtime so it runs the same on any machine. No more "it worked on my laptop."
Kubernetes is the cargo ship captain. It decides where containers sit, replaces damaged ones automatically, and scales capacity up or down when traffic surges.
Terraform is the architect's blueprint. You write down what you need (VPCs, servers, databases), and it builds the whole environment across any cloud with one command.
GitHub Actions is the assembly conveyor belt. Every time an engineer pushes a commit, it tests the code, scans for security flaws, and builds the artifacts.
Jenkins is the veteran factory foreman. Highly customizable and battle-tested, it coordinates complex, multi-stage enterprise build and deployment jobs.
Ansible is the remote maintenance crew. It connects to hundreds of servers over SSH to configure settings, patch packages, and enforce security policies without installing agents.
Prometheus is the hospital vitals monitor. It constantly scrapes and records numeric metrics like CPU, RAM, and error counts so you know if systems are healthy.
Grafana is the mission control dashboard. It turns raw metrics into charts and alert screens humans can read at a glance.
Nginx is the reception desk and traffic cop. It spreads incoming requests across backend servers, terminates SSL, and caches frequent assets.
ArgoCD is the robotic butler that syncs reality with Git. It watches your repository around the clock, and the moment someone merges a config change, it pulls that change into your Kubernetes cluster.
The modern DevOps stack in one line: write code in Git, test with GitHub Actions, package with Docker, deploy via ArgoCD to Kubernetes, provision the cloud with Terraform, and monitor with Prometheus and Grafana.
Save this for your next DevOps interview.
🐧 Linux Commands Cheat Sheet!
Master your Linux terminal with these essential commands for file management, networking, permissions, process management, disk monitoring and more.
Whether you're a beginner, developer or DevOps enthusiast keep this handy!
#Linux#DevOps#Ubuntu
Urgent IoT patch alert: Hackers are actively exploiting a critical bug in Node-RED to hijack industrial setups and plant backdoors. Factory teams must patch exposed automation nodes now to halt intrusions. #Cybersecurity#IoT#DevOps
Become a DevOps Engineer for Free –> Ultimate GitHub Resource Guide
Foundations & Basics
1- – DevOps Roadmap for 2025 with step-by-step learning resources (mostly free).
2- – Curated DevOps resources covering Linux, AWS, Docker, Kubernetes, Ansible, and more.
Roadmaps
3- – Interactive community-driven DevOps roadmap (from beginner to advanced).
4- – Complete 2025 DevOps roadmap with guidance and resources.
5- – Pragmatic, non-linear roadmap for Cloud Native era (DevOps, SRE, Platform Engineering).
Core DevOps Tools & Libraries
6- – Curated list of awesome DevOps platforms, tools, practices, and resources.
7- – Awesome MLOps tools (adaptable for general DevOps and CI/CD best practices).
8- – Curated list of best DevOps tools with descriptions.
Advanced Topics: CI/CD, IaC & Monitoring
9- – Leading open-source automation server for CI/CD pipelines.
10- – Infrastructure as Code tool for provisioning and managing resources.
11- – Monitoring system and time series database (core for observability).
Projects & Hands-On
12- – Real-world DevOps projects from beginner to advanced.
13- – Collection of practical DevOps projects with documentation.
14- – List of 20+ DevOps project ideas (from CLI tools to full CI/CD setups).
MLOps/Deployment & Best Practices (for Production Readiness)
15- – A curated list of resources, tools, frameworks, articles, and projects related to Machine Learning Operations (MLOps).
16- – Research and tools for productionizing LLMs/GenAI (adapt for general deployment best practices).
Is anyone interested in having study partners for learning DevOps? I'm starting a community for persons interested in learning DevOps in a group.
Can you tag anyone interested?
#DevOps#DevOpsCommunity