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Global DevOps Journey

@rani.13.0

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πŸš€ Learn DevOps β†’ Job Ready
πŸ’Ό Interview Q&A β€’ Real-Time Scenarios
☁️ AWS | Kubernetes | Terraform | Linux
πŸ“š Cheat Sheets β€’ Roadmaps β€’ Free Resources
POSTS STORIES REELS TAGGED
Developer ⬇ Git Commit ⬇ Push to GitHub ⬇ Webhook Trigger ⬇ Jenkins / GitHub Actions ⬇ Build (Maven / Gradle) ⬇ Unit Testing ⬇ SonarQube Scan ⬇ Docker Build ⬇ Trivy Scan ⬇ Push to Docker Hub / AWS ECR / Harbor ⬇ Deploy to Kubernetes ⬇ Smoke Testing ⬇ Monitoring (Prometheus + Grafana) ⬇ πŸš€ Application Live by @rani.13.0
355
3 months ago
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πŸš€ Want to learn Shell Scripting for DevOps? Stop jumping between random tutorials. I’ve put together a Shell Scripting PDF covering the concepts you actually need β€” from basics to practical automation. πŸ§πŸ’» πŸ“˜ Learn: βœ… Shell & Bash fundamentals βœ… Variables, conditions & loops βœ… Functions & arguments βœ… File and process handling βœ… Useful Linux commands βœ… Real DevOps automation scripts βœ… Interview-focused concepts πŸ’¬ Comment β€œSHELL” and I’ll share the details. Save this post πŸ”– and follow Global DevOps Journey for more DevOps resources. by @rani.13.0
3k
2 months ago
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🚨 PRODUCTION SERVER IS DOWN! What will you check first? Don’t restart blindly. Diagnose β†’ Find the root cause β†’ Fix β†’ Validate β†’ Monitor. 🐧 I created these Linux Production Troubleshooting Notes covering 20 practical areas every DevOps Engineer should understand β€” system health, high CPU, memory issues, disk space, Disk I/O, failed services, processes, networking, DNS, permissions, logs, kernel issues, and more. Each slide includes: πŸ”Ή Useful Linux commands πŸ”Ή What to check πŸ”Ή Common causes πŸ”Ή Example outputs πŸ”Ή Troubleshooting actions πŸ”Ή Production best practices These are the kinds of problems you’ll face in real DevOps environments, not just interviews. πŸ“Œ Save this post for your next production incident. πŸ“€ Share it with someone learning DevOps. πŸ’¬ Comment β€œLINUX” for the complete PDF. Global DevOps Journey β€” By Rani #DevOps #Linux #LinuxCommands #DevOpsEngineer by @rani.13.0
275
a month ago
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🐳 Multi-Stage Docker Builds β€” Complete One-Page Notes Still shipping compilers, SDKs, build tools, and unnecessary dependencies inside your production Docker images? Multi-stage builds help separate the heavy build environment from the clean runtime environment. The concept is simple: BUILD β†’ COPY β†’ RUN πŸ”¨ Build the application with all required tools πŸ“¦ Copy only the final artifact πŸš€ Run it inside a lean runtime image This approach can give you smaller Docker images, faster image pulls, cleaner production containers, reduced attack surface, and better CI/CD workflows. The notes cover multi-stage architecture, a practical Dockerfile example, single-stage vs multi-stage comparison, key benefits, best practices, and an easy interview memory trick. 🎯 BUILD BIG β†’ COPY ARTIFACT β†’ SHIP SMALL πŸ’¬ Comment β€œDOCKER” if you want more Docker real-time notes and interview content. πŸ”– Save this for your next Docker/DevOps interview. by @rani.13.0
16
19 days ago
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🐳 How to Reduce Docker Image Size β€” One-Page Notes Large Docker images can mean slower builds, slower pulls, longer deployments, higher storage usage, and a larger attack surface. Knowing how to optimize images is an essential skill for every DevOps engineer. In this one-page guide, you’ll learn how to: βœ… Choose minimal base images βœ… Use multi-stage builds βœ… Configure .dockerignore βœ… Copy only required files βœ… Remove unnecessary packages βœ… Clean caches and temporary files βœ… Separate build & runtime dependencies βœ… Optimize Dockerfile layer ordering βœ… Inspect image layers with docker history βœ… Measure improvements after every change 🧠 Remember: BASE β†’ BUILD β†’ CLEAN β†’ COPY β†’ MEASURE πŸš€ Minimal Base + Multi-Stage Build + Required Dependencies + Cache Cleanup = Smaller Docker Images Smaller Images β†’ Faster Pulls β†’ Faster Deployments β†’ Lower Storage β†’ Reduced Attack Surface. πŸ’¬ Comment β€œDOCKER” if you want more Docker interview & real-time DevOps notes. πŸ”– Save this for your next Docker optimization task. by @rani.13.0
27
20 days ago
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☁️ AWS Complete Notes β€” From Basics to Real-World DevOps πŸš€ You don’t need hours of videos to revise AWS concepts. I’ve put together AWS Complete Notes covering the services every Cloud & DevOps engineer should understand β€” explained with architecture, workflows, key features, use cases, best practices, and interview-focused concepts. πŸ“š Covered: EC2 β€’ IAM β€’ VPC β€’ EBS β€’ ALB/NLB β€’ Route 53 β€’ RDS β€’ DynamoDB β€’ Lambda β€’ CloudWatch β€’ CloudTrail β€’ SQS β€’ ECS β€’ EKS β€’ ECR β€’ Secrets Manager β€’ KMS Perfect for AWS beginners, DevOps engineers, cloud engineers, job seekers, and interview preparation. πŸ’¬ Comment β€œAWS” and I’ll share the Complete Notes. πŸ”– Save this post for revision and share it with someone learning AWS. by @rani.13.0
726
23 days ago
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Kubernetes YAML Explained β€” Line by Line πŸš€ Kubernetes YAML can look intimidating at firstβ€”but once you understand the structure, it becomes much easier. In this carousel, we break down the YAML files every DevOps engineer should know: Pod, Deployment, Service, ConfigMap, Secret, and Namespace, plus a complete Deployment + Service example. You’ll also learn how to use essential kubectl commands and avoid common YAML mistakes when working with real Kubernetes environments. πŸ’‘ Remember: YAML defines the desired state. Kubernetes works continuously to maintain that state. Save this carousel πŸ“Œ for Kubernetes practice and interview preparation, and share it with someone learning DevOps. Global DevOps Journey β€” By Rani #Kubernetes #DevOps #KubernetesYAML #CloudNative #DevOpsEngineer by @rani.13.0
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a month ago
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☁️ 25 Most Used AWS Services β€” Explained Simply! πŸš€ AWS has 200+ services, but as a DevOps Engineer, Cloud Engineer, or AWS beginner, you don’t need to learn everything at once. Start with the services you’ll see most often in real-world cloud environments: βš™οΈ Compute: EC2, Lambda, ECS, EKS πŸ“¦ Storage: S3, EBS, EFS 🌐 Networking: VPC, Route 53, ALB/NLB, CloudFront πŸ—„οΈ Databases: RDS, DynamoDB πŸ” Security: IAM, KMS, Secrets Manager, WAF πŸ“Š Monitoring & Audit: CloudWatch, CloudTrail πŸ“¨ Messaging: SNS, SQS 🐳 Containers: ECR, ECS, EKS πŸ“ˆ Scaling: Auto Scaling πŸ—οΈ Infrastructure as Code: CloudFormation πŸ’‘ Beginner tip: Don’t just memorize AWS service names. For every service, understand: What problem does it solve? β†’ When should I use it? β†’ How does it connect with other AWS services? A simple real-world architecture could be: Route 53 β†’ CloudFront/WAF β†’ ALB β†’ EC2/ECS/EKS β†’ RDS with: S3 for object storage CloudWatch for monitoring IAM for permissions Secrets Manager for credentials Auto Scaling for changing demand πŸ“Œ Save this AWS cheat sheet for revision and interviews. πŸ” Share it with someone learning AWS. GlobalDevOpsJourney | by Rani #AWS #DevOps #CloudComputing by @rani.13.0
2
a month ago
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🚨 Complete DevOps Production Incident Troubleshooting Flow Production is down. Alerts are firing. Users are impacted. Where do you start? A DevOps engineer needs a structured troubleshooting approach instead of randomly checking services: 🚨 Alert β†’ πŸ“„ Logs β†’ πŸ“Š Metrics β†’ πŸ“¦ Pods β†’ 🌐 Network β†’ πŸ—„οΈ DB β†’ πŸ” RCA β†’ πŸ”§ Fix β†’ πŸ“ Postmortem During an incident, focus on evidence and impact first. Correlate logs with metrics, verify Kubernetes workload health, check service connectivity and database performance, then build a timeline to identify the actual root cause. After applying the fix, don't stop at β€œservice is back up.” Validate health checks and metrics, monitor recovery, document the incident, update runbooks, and create action items that prevent recurrence. πŸ’‘ Production mindset: Detect β†’ Triage β†’ Investigate β†’ Mitigate β†’ Validate β†’ Learn β†’ Improve πŸ” πŸ“Œ Save this as your production incident cheat sheet. πŸ“€ Share it with your DevOps/SRE team. πŸ’¬ Comment β€œTROUBLESHOOTING” if you want more real-world production scenarios. Follow Global DevOps Journey β€” By Rani for practical DevOps learning. #DevOps #SRE #Kubernetes #Troubleshooting #DevOpsEngineer by @rani.13.0
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a month ago
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🐞 Bug vs Defect β€” Are They Really the Same Thing? These two terms are often used interchangeably in software development, but understanding the difference is useful for developers, testers, DevOps engineers, and interview preparation. πŸ”΅ Bug: An issue discovered during testing when the application doesn’t behave according to the expected requirement. 🟒 Defect: A confirmed mismatch between the expected and actual behavior of the software. Depending on the team/process, the terms bug and defect may also be used interchangeably. πŸ’‘ Interview Tip: Instead of memorizing definitions, understand the lifecycle: Requirement β†’ Development β†’ Testing β†’ Issue Found β†’ Verification β†’ Fix β†’ Retest β†’ Release Save this post for your next interview preparation. πŸš€ Follow Global DevOps Journey β€” By Rani for simple DevOps, Linux, Cloud & interview concepts. #DevOps #SoftwareTesting #InterviewPreparation #QA #GlobalDevOpsJourney by @rani.13.0
2
a month ago
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πŸ“Š Prometheus + Grafana Complete Guide for DevOps Engineers πŸš€ Monitoring isn’t just about watching CPU and memory β€” it’s about understanding what’s happening inside your systems before users experience problems. In this carousel, I’ve covered the essential concepts you need to start working with Prometheus + Grafana: πŸ”Ή Observability fundamentals πŸ”Ή Prometheus architecture & pull model πŸ”Ή Counter, Gauge, Histogram & Summary πŸ”Ή Exporters, targets & /metrics πŸ”Ή prometheus.yml configuration πŸ”Ή Essential PromQL queries πŸ”Ή Recording & Alerting Rules πŸ”Ή Alertmanager concepts πŸ”Ή Grafana dashboards & visualization πŸ”Ή Kubernetes monitoring πŸ”Ή Production monitoring concepts πŸ”Ή Real-world projects & interview preparation πŸ’‘ Best way to learn monitoring? Install β†’ Configure β†’ Query β†’ Visualize β†’ Alert β†’ Break β†’ Troubleshoot β†’ Repeat Save this carousel πŸ“Œ β€” it can be your Prometheus + Grafana learning roadmap. πŸ’¬ Comment β€œPROMETHEUS” if you want the complete PDF. Follow Global DevOps Journey β€” By Rani for practical DevOps, Cloud, Kubernetes and interview content. #Prometheus #Grafana #DevOps #Kubernetes #observability by @rani.13.0
373
a month ago
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πŸ”₯ What REALLY happens when you run kubectl apply -f deployment.yaml? It looks like one simple commandβ€”but behind the scenes, Kubernetes triggers an entire workflow to turn your YAML into running Pods. ☸️ Your manifest travels through: kubectl β†’ API Server β†’ etcd β†’ Deployment Controller β†’ ReplicaSet β†’ Scheduler β†’ Kubelet β†’ Container Runtime β†’ CNI β†’ Running Pod πŸš€ The API Server validates your request, etcd stores the desired state, controllers work continuously toward that state, the Scheduler selects a suitable node, and Kubelet works with the container runtime and networking components to get your workload running. πŸ’‘ Interview Tip: Don’t just memorize Kubernetes commands. Understand what happens internally after you execute them. Questions around kubectl apply, scheduling, controllers, etcd, kubelet, and the Pod lifecycle are common ways to test Kubernetes fundamentals. Small command β†’ a lot happening behind the scenes! Save this visual for your Kubernetes revision. πŸ“Œ Follow Global DevOps Journey β€” By Rani for practical DevOps learning. by @rani.13.0
4
a month ago
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