Forem: Dipu Singh

Join Our DevOps & Cloud Learning, WhatsApp Community – Free Resources, Jobs, and Support!

Dipu Singh — Mon, 26 May 2025 13:12:03 +0000

Hey everyone!

If you’re reading this, you’re probably someone who’s passionate (or curious) about DevOps, cloud technologies, Kubernetes, or building a freelance career in tech. Maybe you’re:

Struggling to keep up with the fast-paced DevOps world.
Tired of outdated tutorials or expensive courses.
Looking for freelance gigs or new job opportunities.
Just want to connect with others who “get it.”

That’s why I’m starting a free WhatsApp group – and you’re invited!

What We’ll Share:

Free Learning Resources
- Curated guides, eBooks, and tutorials on DevOps, AWS, Kubernetes, Terraform, and more.
- Daily/weekly challenges to test your skills.
Freelance & Job Updates
- Exclusive openings for DevOps engineers, cloud architects, and SRE roles.
- Tips for landing remote gigs or freelance projects.
Real-World Projects
- Collaborate on small projects to build your portfolio.
- Get feedback from peers and industry pros.
Q&A Support
- Stuck on a problem? Ask the group.
- Weekly “Ask Me Anything” sessions with experienced DevOps engineers.
Community Vibes
- Share wins, fails, and memes (because tech without humor is just code).

Who Should Join?

Students: Break into DevOps/cloud with hands-on guidance.
Professionals: Upskill without wasting time on fluff.
Freelancers: Find clients and sharpen your edge.
Career Changers: Transition into tech with a supportive crew.

How to Join:

Click the WhatsApp Invite Link: [Insert Link Here]
Introduce Yourself: Share your name, background, and goals.
Start Learning & Sharing: No pressure, just progress.

Rules? Just Three:

No Spam: Keep promotions/ads out.
Stay Kind: Respect everyone’s journey.
Stay On-Topic: DevOps, cloud, freelancing, jobs.

Why Am I Doing This?

A year ago, I was overwhelmed trying to learn Kubernetes while juggling freelance work. I wished I had a space to ask questions, share resources, and find opportunities without paying hundreds for courses. This group is that space – for all of us.

Ready to Level Up Together?

👉

chat.whatsapp.com

Why I Built a DevOps As A Service Company- RKSSH.COM

Dipu Singh — Mon, 26 May 2025 12:17:58 +0000

DevOps as a Service?

Most teams we talk to share the same frustrations:

“Our app slows down every time we get traffic.”
“We’re stuck fixing errors instead of building new features.”
“Migrating to the cloud feels like climbing a mountain.”

At Rkssh, we’ve been there.

That’s why we built a DevOps partner that cuts through the complexity, no overpromising. Just practical fixes for the problems keeping you up at night.

What We Do

1. Make Your Systems Handle Growth

Problem: Your app crashes during sales or launches.

Our Fix: We set up auto-scaling so your servers adjust to traffic spikes—like adding more cashiers during a store rush.

2. Automate Repetitive Work

Problem: Your team wastes hours deploying updates or fixing the same bugs.

Our Fix: We automate testing and deployments so your code goes live faster, with fewer mistakes.

3. Clean Up Cloud Chaos

Problem: Cloud bills are unpredictable, and migration feels risky.

Our Fix: We move your apps to AWS/Azure/GCP smoothly, then optimize costs so you pay for what you actually need.

4. Guard Against Disasters

Problem: Security gaps keep you anxious about breaches or downtime.

Our Fix: We monitor your systems 24/7 and lock down vulnerabilities—like a security system for your tech.

5. Train Your Team

Problem: Your developers are stuck maintaining old systems.

Our Fix: We teach your team modern tools and processes so they can focus on innovation, not cleanup.

Why Teams Work With Us

We speak human, not robot. No confusing tech terms—just clear explanations.
We don’t disappear after setup. Need help? We answer calls, even at 2 AM.
We care about your goals. Whether you’re a startup scaling fast or an enterprise streamlining workflows, we adapt to your pace.

Real Problems We’ve Solved

A food delivery startup reduced server costs by 40% after we optimized their cloud setup.
An e-commerce company cut deployment time from 3 hours to 15 minutes with automated pipelines.
A healthcare app avoided a major data breach with our security checks—before it went live.

How to Get Started

Free Chat: Tell us your biggest tech headache in a 30-minute call.
Plan Together: We’ll propose a fix that fits your budget and timeline.
Breathe Easier: Let us handle the heavy lifting while your team gets back to what matters.

If This Resonates, Let’s Talk:

👉 Schedule a Free Consultation
📞 Call: +91 7700936257
✉️ Email: info@rkssh.com

P.S. Share this with a friend who’s drowning in tech fires. We’ll help them trade chaos for calm.

Simplify. Automate. Grow.

— Team Rkssh

RKSSH LLP - DevOps, MLOps, AIOps & Compliance Engineering | rkssh

DevOps, MLOps, AIOps and compliance engineering for businesses worldwide. CI/CD pipelines, Kubernetes, ISO 27001 / HIPAA / SOC2, and 24/7 managed infrastructure. Based in Guwahati, India.

rkssh.com

10 Open Source Tools for Observability Every DevOps Engineer Should Know

Dipu Singh — Wed, 21 May 2025 10:55:00 +0000

Hey friends!

If you’re working with cloud systems or microservices, you know how important it is to keep an eye on your apps and infrastructure.

Observability tools help you track metrics, logs, and traces so you can fix issues before users even notice.

Let me share 10 free, open-source tools that even big companies use to monitor their systems.

No jargon, just simple explanations!

Metrics & Monitoring

Prometheus

Think of it as a watchdog for your apps. It collects real-time metrics (like CPU usage or request rates) and alerts you if something goes wrong. Perfect for Kubernetes environments.
Thanos

Prometheus is great, but what if you need to store metrics for years? Thanos adds long-term storage and lets you query data across multiple clusters.
Cortex

Need Prometheus for a big team with many projects? Cortex scales it up, letting multiple teams use one shared system without stepping on each other’s toes.

Dashboards & Visualization

Grafana This tool turns boring numbers into colorful dashboards. Connect it to Prometheus, Loki, or even databases, and create graphs that even your manager will understand.

Logs

Loki

Logs can be messy, but Loki (from Grafana Labs) keeps them organized. It’s lightweight and works seamlessly with Grafana, so you can search logs like you’d search on Google.
Fluent Bit

A tiny tool that collects logs from edge devices (like IoT sensors) and sends them to a central system. Super efficient, even for low-power machines.
Fluentd

The bigger brother of Fluent Bit. It collects, filters, and routes logs to databases or analytics tools. Great for complex setups.

Traces

Jaeger

When your app has 100 microservices, finding where a request failed is like finding a needle in a haystack. Jaeger maps the entire journey of a request across services.
Tempo

Another Grafana Labs gem. It stores tracing data cheaply and lets you query it quickly. Pair it with Loki and Prometheus for full observability.
OpenTelemetry

Don’t want to lock yourself into one tool? OpenTelemetry is a standard for collecting metrics, logs, and traces. Use it once, and export data to any tool you like.

Why These ?

Free & Open Source: No licenses or hidden costs.
Production-Ready: Used by companies like Uber, Red Hat, and Google.
CNCF Backed: Part of the Cloud Native Computing Foundation (like Kubernetes), so they’re here to stay.

If you get stuck setting up any of these tools, just drop us a message at rkssh. We’ll help you get it running smoothly!

RKSSH LLP - DevOps, MLOps, AIOps & Compliance Engineering | rkssh

DevOps, MLOps, AIOps and compliance engineering for businesses worldwide. CI/CD pipelines, Kubernetes, ISO 27001 / HIPAA / SOC2, and 24/7 managed infrastructure. Based in Guwahati, India.

rkssh.com

thecloudarchitect.gumroad.com

DevOps, SRE, or Platform Engineer? How to Know Which Role Fits You

Dipu Singh — Sun, 18 May 2025 17:35:44 +0000

If you’ve ever browsed tech job boards, you’ve probably seen titles like DevOps Engineer, Platform Engineer, and Site Reliability Engineer (SRE).

They sound similar, right?

But here’s the catch -

While these roles all aim to make software delivery smoother and systems more reliable.

They’re not interchangeable.

Let’s break down what each role actually does, what tools they use, and what hiring managers care about in interviews.

1. The DevOps Engineer - The Automation Expert

What They Do:

Build and maintain CI/CD pipelines (the automated highways that move code from your laptop to production).
Write scripts to spin up servers, deploy apps, or manage cloud resources (think Terraform or AWS CloudFormation).
Work closely with developers to fix deployment bottlenecks.

Day-to-Day Tools:

CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
Cloud platforms (AWS, Azure, GCP).
Scripting languages like Python or Bash.

Interview Prep Tips:

Expect questions like, “How would you troubleshoot a failed deployment?” or “Design a CI/CD pipeline for a new app.”
Brush up on cloud networking basics and cost-saving strategies.

2. The SRE (Site Reliability Engineer) - The Reliability Guard

What They Do:

Define and track system reliability goals (like uptime targets).
Jump into action during outages—diagnose issues, lead fixes, and write postmortems to prevent repeats.
Build dashboards to monitor system health (using tools like Grafana or Datadog).

Day-to-Day Tools:

Incident management tools (PagerDuty, Opsgenie).
Observability stacks (Prometheus, ELK).
Automation scripts to reduce repetitive tasks.

Interview Prep Tips:

Practice scenarios like, “How would you ensure a system stays up during a traffic spike?”
Be ready to walk through how you’d handle a major outage.

3. The Platform Engineer - The Developer’s Wingman

What They Do:

Build internal tools so developers can deploy apps faster (like self-service portals or Kubernetes platforms).
Manage complex infrastructure (multi-cloud setups, Kubernetes clusters).
Optimize systems for scalability and ease of use.

Day-to-Day Tools:

Kubernetes, Docker, and service meshes (Istio, Linkerd).
Tools like Crossplane or Backstage for platform building.
Infrastructure as Code (Terraform, Pulumi).

Interview Prep Tips:

Prepare for questions like, “How would you design a platform to speed up developer workflows?”
Dive deep into Kubernetes architecture and scaling strategies.
Pro tips, check the below links..

Key Differences in One Sentence

DevOps Engineers automate the path from code to production.
SREs keep systems running smoothly and fix them when they break.
Platform Engineers build the tools and systems developers rely on daily.

What to Expect in Interviews

For DevOps: You’ll talk pipelines, cloud costs, and scripting.
For SRE: You’ll discuss uptime, outages, and monitoring.
For Platform Engineering: You’ll design internal tools and explain Kubernetes quirks.

Which Role Should You Choose?

Like coding and teamwork? DevOps might be your fit.
Love solving puzzles and firefighting? Try SRE.
Enjoy building systems others use? Platform Engineering could be your lane.

Still unsure? Ask yourself - Do I want to automate workflows, protect uptime, or build the tools behind the tools? Let’s discuss in the comments.

thecloudarchitect.gumroad.com

DevOps in 2025

Dipu Singh — Sat, 17 May 2025 05:44:55 +0000

When someone says, “I want to become a DevOps engineer,” I challenge them:

“Are you chasing a title or building a mindset?”

DevOps has never been about job descriptions.

It’s not a role to claim, but a philosophy to embody. While tools like Kubernetes and CI/CD pipelines dominate conversations, the heart of DevOps lies in three irreplaceable traits:

The Myth of the "DevOps Job"

Early in my career, I thought DevOps was a destination a title to earn.

I stacked certifications, memorized tools, and chased job postings. But teams remained fractured. Deployments still failed. I learned the hard way: you can’t automate culture.

DevOps isn’t a department. It’s the rhythm of how teams think, act, and solve problems together.

The Three Truths of Real DevOps

Code with Empathy

Developers who ask, “How will this run in production?”

Operators who ask, “How can we build this faster?”

The best DevOps practitioners live in both worlds.
Automate the Process, Not the Purpose

Tools are enablers, not end goals. A perfect pipeline means nothing if teams still blame each other for outages.
Own Outcomes, Not Tasks

Silos crumble when a developer troubleshoots a deployment or an operator suggests a code improvement.

You Already Practice DevOps, You Just Don’t Know It

I’ve seen “QA engineers” advocating for infrastructure-as-code. I’ve watched “sysadmins” teaching developers about monitoring.

These people didn’t have DevOps titles, they had curiosity and a bias for action.

If you’ve ever:

→ Automated a manual process,

→ Shared knowledge across teams,

→ Fixed a problem outside your “scope,”

You’ve practiced DevOps.

The Future: No Titles, Just Impact

By 2025, the DevOps title will fade. What will remain?

Teams, not roles, owning reliability.
Collaboration, not job descriptions, driving innovation.
Impact, not titles, defining success.

Finally

Forget chasing the “DevOps engineer” label. Start solving problems that matter.

Automate friction.

Bridge gaps.

Measure success by how seamlessly your team delivers, not by the words on your LinkedIn profile.

To those reimagining their path: How are you shaping DevOps culture without the title? Let’s share stories of impact over job descriptions.

Is DevOps a title or a mindset in your world? Join the conversation below.

thecloudarchitect.gumroad.com

Why I Stopped Doing Everything Manually in DevOps

Dipu Singh — Fri, 16 May 2025 10:37:41 +0000

There was a time when I believed manual work was the hallmark of a diligent engineer.

I’d SSH into servers one by one, typing the same commands repeatedly:

sudo apt update && sudo apt install nginx

At first, it felt productive, like I was "in control." But over time, the cracks began to show. I was spending hours on tasks that should have been trivial.

Typos crept in, deployments became inconsistent, and solving the same problems over and over left me exhausted. It wasn’t progress, it was stagnation.

The Break Point

Manual processes are deceptively risky.

A misplaced command, a forgotten step, or a server accidentally overlooked could lead to downtime or security gaps.

I realized I wasn’t just wasting time;

I was introducing unnecessary human error into systems that demanded precision.

The Automation

Everything changed when I discovered automation tools like Ansible. Instead of manually configuring servers, I wrote a single playbook:

- name: Install and configure Nginx  
  hosts: webservers  
  tasks:  
    - apt:  
        name: nginx  
        state: present  
        update_cache: yes

Suddenly,

What took hours was reduced to minutes. Servers were provisioned identically every time. Updates rolled out uniformly.

Best of all, I could step back and focus on higher-value work.

Three Shifts in My Engineering Mindset

This experience reshaped how I approach problems:

Automation First

If a task is repetitive, it’s a candidate for automation. Whether it’s server setup, CI/CD pipelines, or monitoring, scripting eliminates drudgery and ensures consistency.
Minimize Manual Intervention

Manual work should be the exception, not the rule. Tools like Terraform, Kubernetes, and even simple shell scripts reduce the “human touch” to critical decision points, not routine execution.
Design for Scale and Resilience

Automated systems are easier to scale and audit. Need to deploy to 100 servers? A playbook handles it. Troubleshooting? Logs and version-controlled scripts provide clarity.

A Question to always Ask Yourself

If you’re still executing manual tasks in your DevOps or cloud workflows, pause and ask: “Can this be automated?” Start small—automate one script, one deployment, one backup process. The compounding savings in time, stress, and reliability will surprise you.

Finally

Automation isn’t about replacing human ingenuity, it’s about freeing it. By letting machines handle repetition, we gain space to solve harder problems, innovate, and build systems that last.

To those on a similar journey: How has automation changed your workflow?

Let’s share stories and learn from each other. The best engineering happens when we step back, think critically, and let automation do the heavy lifting.

What’s your automation story? Share your experiences below.

Check-Out this E-book.

thecloudarchitect.gumroad.com

Which Kubernetes Certification Should You Get? A Clear Guide (No Hype)

Dipu Singh — Wed, 14 May 2025 07:58:47 +0000

Let’s face it -

Kubernetes certifications are everywhere. But which one actually helps your career?

The answer depends on your role, goals, and experience.

Here’s a no-nonsense breakdown of the top certifications, and how to pick the right one.

1. Certified Kubernetes Administrator (CKA)

Best For - Engineers who manage clusters (DevOps, SREs, SysAdmins).

What You’ll Learn:

Installing and configuring Kubernetes clusters.
Troubleshooting nodes, pods, and networking.
Managing storage, security, and upgrades. Exam Details -
Format: Hands-on lab (you fix real cluster issues in real time).
Cost: $395 (retake: $245).
Validity: 3 years. Why It’s Worth It -
The gold standard for proving you can operate Kubernetes.
Required for advanced certs like CKS (security).

2. Certified Kubernetes Application Developer (CKAD)

Best For: Developers building apps on Kubernetes.

What You’ll Learn -

Designing and deploying cloud-native apps.
Configuring pods, services, and deployments.
Debugging application issues in clusters. Exam Details -
Format: Hands-on lab (coding tasks under time pressure).
Cost: $395 (retake: $245).
Validity: 3 years. Why It’s Worth It -
Proves you can develop for Kubernetes, not just manage it.
Easier than CKA if you’re already coding daily.

3. Certified Kubernetes Security Specialist (CKS)

Best For - Security engineers or DevOps pros focused on hardening clusters.

What You’ll Learn -

Securing cluster components (API server, etcd).
Implementing pod security policies.
Auditing and compliance for Kubernetes. Exam Details -
Format - Hands-on lab (real-world security scenarios).
Cost - $395 (retake: $245).
Validity - 3 years. Catch - You must pass CKA first. Why It’s Worth It -
High demand as companies prioritize cloud security.

4. Vendor-Specific Certifications

Examples -

AWS Certified Kubernetes – Specialty (for EKS users).
Google Cloud: Professional Cloud DevOps Engineer (GKE focus).
Microsoft Azure: Kubernetes on Azure (AKS). Best For - Teams locked into a specific cloud platform. Pros:
Aligns with your company’s cloud provider. Cons:
Less portable if you switch jobs or clouds.

Which Certification Should YOU Choose?

Start Here - If you’re new to Kubernetes, CKA is the safest bet. It’s the most recognized and opens doors to admin roles.
Already a Developer? Go for CKAD to stand out in cloud-native app roles.
Security-Focused? Get CKA first, then CKS.
Stuck on One Cloud? Add a vendor cert after CKA/CKAD.

The Reality Check

Certifications ≠ Expertise: Passing the exam means you can perform tasks under pressure—not that you’re a Kubernetes guru.
Hands-On Practice > Cramming: Labs like Killer.sh or ExamPro are better prep than theory-heavy courses.
Employers Care About Skills: Certificates get you interviews; your ability to debug clusters gets you hired.

Advice

CKA First - It’s the foundation for all Kubernetes roles.
Practice Daily - Use free tier clusters on AWS/GCP or Minikube on your laptop.
Skip the Hype - Focus on certs that match your current job or next career move.

The “best” certification is the one that aligns with your goals. Start with CKA if you’re unsure, it’s the closest thing to a Kubernetes universal passport.

thecloudarchitect.gumroad.com

Why Kubernetes No Longer Runs with Docker – Here’s the Reason

Dipu Singh — Wed, 14 May 2025 07:28:39 +0000

Let’s clear up a common confusion: Yes, Kubernetes can run without Docker. But to understand how, we need to break down what these tools actually do and why their relationship has changed over time.

Kubernetes doesn’t need Docker to work. While Docker was the default choice for years, Kubernetes now supports other tools to do the same job.

Here’s why -

Kubernetes is an orchestration system. It manages where and how to run applications (like scheduling containers across servers).

Docker is a container runtime. It focuses on building and running containers (the lightweight packages that hold your app and its dependencies).

Think of Kubernetes as a traffic controller and Docker as a truck driver.

You can replace the driver (Docker) with someone else (like containerd or CRI-O), and the traffic controller (Kubernetes) will still manage the roads.

Why Did Everyone Think Kubernetes Needed Docker?

In older versions of Kubernetes (before 2020), Docker was the default tool for running containers.

This made people assume they were inseparable. But Kubernetes has always been designed to work with any container runtime that follows its rules (via the Container Runtime Interface, or CRI).

What changed in 2020?

Kubernetes officially deprecated Docker as its default runtime. Now, most clusters use tools like containerd or CRI-O—both of which can run containers without Docker.

How Kubernetes Runs Without Docker

Kubernetes uses a CRI-compatible runtime:
- containerd: A lightweight runtime that does the same job as Docker’s core engine (without Docker’s extra features).
- CRI-O: Built specifically for Kubernetes, it handles only what Kubernetes needs.
What happens behind the scenes:
- You build a container image (using Docker or another tool).
- Kubernetes hands that image to containerd/CRI-O, which runs the container.
- Docker isn’t involved unless you explicitly use it.

Why Would You Use Kubernetes Without Docker?

Simpler setups: Tools like containerd or CRI-O are lighter and faster for Kubernetes-specific workloads.
Security: Fewer components mean fewer vulnerabilities to worry about.
Cost: No need to pay for Docker Enterprise if you’re only using Kubernetes.

The only Real World Example

Imagine you’re deploying a web app:

You build a container image with Docker (or a Docker alternative like Buildah).
Kubernetes uses containerd to run that image across your servers.
Docker isn’t installed anywhere in the cluster—it’s not needed.

When Docker Still Makes Sense

Local development: Docker’s tools (like Docker Desktop) are user-friendly for testing containers on your laptop.
Legacy systems: Some teams still use Docker in Kubernetes for familiarity.

Kubernetes doesn’t depend on Docker. You can use alternatives like containerd or CRI-O to run containers in production clusters. Docker is still useful for building images, but Kubernetes handles the rest without it.

If you’re learning Kubernetes, focus on how orchestration wo,rks not just Docker. The future of Kubernetes is runtime, agnostic.

thecloudarchitect.gumroad.com

What Does a DevOps Engineer Actually Do? Real Scenarios Explained

Dipu Singh — Sun, 11 May 2025 06:41:48 +0000

Let’s cut through the buzzwords.

You’ve heard “DevOps” thrown around in tech circles, but what does a DevOps engineer actually do all day?

Is it just fixing servers? Writing scripts? Staring at dashboards?

Here’s the truth, DevOps engineers are problem solvers who bridge the gap between developers and operations teams.

They make sure software gets built, tested, and delivered smoothly, without midnight fire drills.

Let’s break it down with real-world examples.

1: “It Works on My Machine!”

A developer finishes a feature, tests it locally, and says, “Ready to deploy!” But when the code reaches production, the app crashes.

The operations team blames the code; the developer blames the server.