Insight cloud

Tag: cloud computing

  • Kickstarting Your DevOps Career: Roadmap & Real Responsibilities

    As a DevOps Engineer Roles and Responsibilities, my mission is to improve how software moves from development to production, faster, safer, automated.

    Devops Engineer Roles and Responsibilities:

    • Automate builds, testing, deployments (CI/CD)
    • Manage infrastructure (cloud: AWS/Azure/GCP)
    • Implement monitoring, logging & alerting
    • Improve system reliability, security, scalability
    • Support developers and operations with tools & processes

    I ensure smooth delivery of features without breaking things.

    https://learn.microsoft.com/en-us/azure/devops/pipelines/architectures/media/azure-devops-ci-cd-architecture.svg?view=azure-devops

    My Career Journey in Tech

    • Started by learning Linux & networking basics
    • Git + automation scripts (Bash/Python)
    • Learned CI/CD tools (Jenkins/GitHub Actions)
    • Adopted Containers & Kubernetes
    • Worked hands-on with real cloud infrastructure
    • Continuous learning is important. Focusing on Observability, Security, SRE mindset.

    Skills, Certifications & Experiences That Helped Me Grow

    Core Skill Categories:

    Skill AreaTools / Concepts
    OS & NetworkingLinux, SSH, DNS, Firewalls
    Version ControlGit, branching strategies
    Build & CI/CDJenkins, GitHub Actions, GitLab
    CloudAWS / Azure / GCP/ Oracle
    ContainersDocker, Kubernetes
    Infra as CodeTerraform, CloudFormation
    MonitoringPrometheus, Grafana
    SecurityDevSecOps, Secrets Mgmt

    Helpful Certifications:

    • AWS Cloud Practitioner / Solutions Architect
    • CKA / Kubernetes Admin
    • Docker or Linux certifications
    • DevOps Foundation (optional but a good start)

    Hands-on Experience:

    • Deploy apps continuously, break things, fix things
    • Work with real cloud projects (personal or internship)
    • Debug failures — logs, metrics, alerts

    Skills grow fastest through projects + failures + reflection.

    How Each Team Contributes to the Software Lifecycle

    TeamResponsibilityDevOps Contribution
    DevelopmentWrite code & featuresEnsure smooth integration & automated testing
    QA / TestingValidate functionalityEnable automation, shift-left testing
    SecurityProtect system & dataBuild DevSecOps pipelines (integrated scanning)
    Operations (SRE/Infra)Run in productionAutomated deploys, monitoring, reliability

    We remove friction between teams and create One Team delivering value continuously.

    Collaboration & Handoff Points

    Where DevOps coordinates most:

    • Feature planning → Infra readiness
    • Code merge → Automated build & test pipelines
    • Deployment → Blue-green & rollbacks
    • Incident management → RCA & improvement

    Final Messages

    DevOps is not just tools.
    DevOps is understanding problems, automating solutions, and working as one team.

    If you focus on:
    Learning fundamentals
    Building automation
    Being curious
    Continuous improvement

    …you will grow very fast in this field

    Next Steps :

  • How I Used AWS re/Start Program in India to Start My DevOps Career

    Hello, Friends. Many people think starting a career in AWS,cloud or DevOps requires Thousand of rupees for training or bootcamps. I’m here to tell you from my own experience — you don’t need to spend a single rupee to begin.

    I’m from a non-IT background Leather Technology graduate and today I’m a DevOps Engineer. My journey began with the AWS re/Start program — a free cloud training program supported by Amazon Web Services and delivered by partner organizations across India.

    If you are unemployed, switching careers, or simply don’t have the money for expensive coaching, this is one of the best opportunities available.

    What is AWS re/Start?

    Free, full-time cloud training with no hidden fees is available for aspiring professionals. The program covers essential topics such as Linux, networking, AWS services, Python, security, and DevOps basics. In addition to technical skills, it also includes soft skills training like communication, teamwork, resume building, and mock interviews.

    Upon successful completion, participants gain access to interview opportunities with hiring partners, helping them launch their careers in the cloud domai

    AWS re/Start Training Partners in India

    You can apply to these organizations (all free):

    • Dhyanahitha Educational Society
    • Don Bosco Tech Society
    • EduBridge
    • Generation India Foundation
    • HOPE Foundation
    • JobsAcademy (2COMS Group)
    • Magic Bus India Foundation
    • Tata STRIVE (Tata Community Initiatives Trust)
    • Tech Mahindra Foundation
    • Vinsys
    • Apply here: AWS re/Start Application Page

    My Personal Journey

    1. Applied Everywhere → I didn’t wait for one response, I applied to all partners.
    2. Got Selected → Basic aptitude + communication test, then interview.
    3. Started Learning → Daily classes on Linux, networking, AWS basics, and Python.
    4. Faced Failures → After completing the course, I failed 3 job interviews.
    5. Kept Going → On my 4th attempt, I finally cracked the interview.
    6. First Job → Got my first DevOps role in a startup. That became my foundation and later I joined Zoho Corporation.

    Tips for Learners

    Don’t waste your money on paid training — the AWS re/Start program is completely free. Apply to all partners to maximize your chances of getting selected, and once you’re in, stay disciplined and treat the course like a full-time job. Remember, failing interviews is normal; I personally failed three times before finally succeeding. What matters is focusing on core skills like Linux commands, networking basics, AWS services such as EC2, S3, IAM, and VPC, along with developing a strong problem-solving mindset. Stay connected with peers, learn together, and keep yourself motivated — consistency and perseverance will eventually lead you to success.

    Final Thoughts

    The AWS re/Start program changed my life without costing me a rupee. If you are unemployed, from a non-IT background, or cannot afford expensive training, this program is for you.

    I started from scratch, failed multiple times, but never gave up. Today, I’m working as a DevOps Engineer because of this opportunity.

    If I can do it, so can you.

    Action Step: Visit the AWS re/Start Application Page, apply to all partners, and start your journey today.

    What’s Next?

    The journey is ongoing. I’m glad to have you along for the ride.

    Devops tutorial :https://www.youtube.com/embed/6pdCcXEh-kw?si=c-aaCzvTeD2mH3Gv

  • My DevOps Journey: From Leather Tech to Cloud Engineering

    Hello all Devops & Developers!

    My name is Srikanth,and this is the first post in my public learning journey. I’m currently a DevOps Engineer at Zoho Corporation but my path to get here was anything but straight. This blog is my attempt to document my continuous learning in the world of DevOps and share the lessons I pick up along the way.

    My story begins in a small village where the idea of a career in cutting-edge technology felt a world away. I worked hard, secured a place at Anna University in Chennai and pursued a degree in… Leather Technology. It was a fascinating field and I was proud to be placed in a core company right after graduation.

    But just four months in, I had a nagging feeling that I was on the wrong path. The work wasn’t igniting my passion. I made a tough decision: I quit my job to chase a curiosity that had been growing for a while – the world of cloud computing.

    This was my pivot point. I enrolled in the AWS re/Start program, a full-time, online-based course that takes you from zero to cloud-ready. I immersed myself, studied relentlessly and earned my first AWS certification. That certification was more than a piece of paper; it was my entry ticket. In August 2023, I landed my first tech role as a DevOps Engineer at a startup.

    For nine incredible months, I learned more than I ever thought possible. The startup environment was a trial by fire, and it solidified my love for building, automating, and solving complex problems. That experience paved the way for my current role at Zoho Corporation.

    Why I’m Sharing This Journey

    Even though I’m now working in the field, I firmly believe that in DevOps, you are never done learning. The landscape of tools and best practices is constantly evolving. My goal for this blog is to create a space for continuous growth. This won’t be a polished tutorial series from an expert. This is a real-time log from a practicing engineer who is always learning.

    Let’s Learn and Grow Together

    I’m putting my learning goals out there to hold myself accountable, but I also want to build something more: a community.

    My vision is for this blog to be an interactive space. Join me in the comments with your own studies and queries. Let’s share learning skills, help each other with debugging complex issues, and grow as a community. We can all become better engineers when we grow as a group. This is our space to learn and grow, together.

    What’s Next?

    The journey is ongoing. I’m glad to have you along for the ride.

    Devops tutorial :https://www.youtube.com/embed/6pdCcXEh-kw?si=c-aaCzvTeD2mH3Gv

  • Learn DevOps from Scratch: A Complete Beginner’s Guide

    Introduction

    In today’s fast-paced tech world, DevOps has become one of the most in-demand career paths. Companies like Amazon, Netflix, and Google rely on DevOps practices to deliver software faster, with higher quality and reliability.

    If you are completely new and wondering “How do I start learning DevOps from scratch?” — you’re in the right place. In this blog, we’ll break down DevOps concepts, tools, and a clear roadmap for beginners.

    What is DevOps?

    DevOps = Development + Operations.
    It’s not a tool or a programming language, but a culture and practice that brings developers and IT operations together.

    • Traditional approach: Developers write code → Operations deploys it → Miscommunication slows things down.
    • DevOps approach: Developers and Ops work together → Automation → Faster and reliable releases.

    👉 In simple terms: DevOps helps companies build, test, and release software quickly and safely.

    Why Learn DevOps?

    • High Demand: DevOps engineers are among the top-paying IT professionals.
    • Faster Delivery: Every company wants faster updates for customers.
    • Better Reliability: Automated monitoring reduces downtime.
    • Career Flexibility: DevOps skills are useful in startups, enterprises, and cloud-native companies.

    Key Concepts

    Before learning tools, understand the principles:

    1. Continuous Integration (CI) → Automatically build and test code when changes are made.
    2. Continuous Delivery (CD) → Deploy updates frequently and reliably.
    3. Infrastructure as Code (IaC) → Manage servers with code instead of manual setup.
    4. Monitoring & Logging → Detect and fix issues quickly.
    5. Collaboration & Automation → Teams work together with automated workflows.

    DevOps Tools You Need to Know

    Here are the essential tools grouped by category:

    • Source Code Management → Git, GitHub, GitLab, Bitbucket
    • CI/CD Pipelines → Jenkins, GitHub Actions, GitLab CI, CircleCI
    • Configuration Management → Ansible, Puppet, Chef
    • Containerization → Docker, Podman
    • Container Orchestration → Kubernetes
    • Cloud Platforms → AWS, Azure, GCP
    • Monitoring → Prometheus, Grafana, ELK Stack

    Step-by-Step Roadmap to Learn DevOps from Scratch

    1. Learn the Basics of Linux & Networking

    • Understand commands, file system, permissions
    • Learn basics of networking (IP, DNS, HTTP, SSH)

    2. Learn Git and Version Control

    • Create repositories, branches, and manage commits
    • Host projects on GitHub

    3. Understand CI/CD Pipelines

    • Install Jenkins and create a simple pipeline
    • Automate builds and tests

    4. Learn Containerization with Docker

    • Build images, run containers, manage volumes & networks

    5. Move to Kubernetes (K8s)

    • Deploy applications, scale pods, manage clusters

    6. Learn Infrastructure as Code (IaC)

    • Write Ansible playbooks
    • Use Terraform to provision servers on AWS

    7. Cloud Computing (AWS/GCP/Azure)

    • Learn EC2, S3, IAM basics
    • Deploy workloads on cloud

    8. Monitoring & Logging

    • Use Prometheus & Grafana for monitoring
    • Centralize logs using ELK

    9. Build a Real DevOps Project

    Example: Deploy a web app → CI/CD pipeline → Docker → Kubernetes → Monitoring

    Tips to Learn Faster

    • Practice daily on a cloud platform (AWS free tier is great).
    • Start with mini-projects (deploy a static website, then add CI/CD).
    • Join DevOps communities (Reddit, LinkedIn, Slack groups).
    • Read documentation — tools evolve quickly.

    Conclusion

    Learning thisfrom scratch may seem overwhelming at first, but if you follow the roadmap step by step, it becomes much easier. Focus on building real projects and practicing daily.

    It isn’t just about tools — it’s about a mindset of collaboration, automation, and continuous improvement.

    So, start small, stay consistent, and you’ll soon master !

    Next Steps :

  • Happy Engineers Day to All DevOps Engineers

    Engineers Day is a special occasion to celebrate the brilliance, creativity, and dedication of engineers who shape the world we live in. Today, while we honor all engineers, let’s take a moment to appreciate a unique tribe of engineers who bridge the gap between development and operations – DevOps Engineers.

    Why DevOps Engineers Are Special

    DevOps Engineers are the unsung heroes of the tech world. They ensure that applications are not just built but also delivered, scaled, and maintained efficiently. In a world where software is everywhere, DevOps plays a critical role in:

    • Automation – reducing repetitive manual tasks with CI/CD pipelines.
    • Collaboration – bringing developers and operations teams together.
    • Reliability – ensuring applications run smoothly with monitoring and alerting.
    • Scalability – keeping systems ready to handle millions of users.
    • Innovation – enabling faster delivery of new features.

    Celebrating DevOps on Engineers’ Day

    On this Engineers’ Day, let’s recognize the effort of DevOps professionals who:

    • Stay up late fixing production issues.
    • Automate deployments so businesses can move faster.
    • Secure systems to protect user data.
    • Embrace continuous learning to keep up with cloud-native technologies like Docker, Kubernetes, AWS, Azure, GCP, and more.

    Their contribution goes beyond just coding or server management – they empower businesses to innovate fearlessly.

    A Message to DevOps Engineers

    Dear DevOps Engineers, your role is more than just “engineer.” You are builders, problem-solvers, innovators, and guardians of reliability. On this Engineers’ Day, we celebrate your dedication to creating seamless digital experiences for millions of people worldwide.

    Happy Engineers’ Day to all the amazing DevOps Engineers out there! Keep building, keep innovating, and keep engineering the future.

    Next Steps :

  • What Is Artificial Intelligence (AI)?

    Artificial intelligence (AI) is a field of computer science that focuses on creating smart computer systems that can perform tasks that would normally require human intelligence. Think of it as teaching computers to learn, reason and solve problems on their own, instead of being told what to do every single time

    Key Concepts

    • Learning: AI systems learn from data, just like you learn from experience. The more data they are given, the better they become. For example, to teach an AI to recognize a cat, you would show it millions of pictures of cats. Over time, it learns the patterns that define a “cat” without needing a programmer to tell it exactly what whiskers, ears, and tails are.
    • Reasoning: This is the ability to make logical decisions and draw conclusions. An AI for a self-driving car, for instance, uses reasoning to decide when to brake, accelerate, or turn, based on a combination of road conditions, traffic signals, and other cars.
    • Problem-solving: AI systems can find solutions to complex problems. A good example is a chess-playing AI, which can analyze millions of possible moves to find the best one to win the game.

    Example to Understand about Artificial Intelligence

    Think about how you learn:

    1. You see a dog many times.
    2. Your brain remembers: four legs, tail, barking sound.
    3. Next time you see a similar animal, you can say, “That’s a dog.”

    AI works in a similar way, but instead of your brain, it uses data and algorithms (special math rules) to learn.

    Real-Life Examples of Artificial Intelligence

    • Google Maps shows the fastest route home by studying traffic patterns.
    • YouTube or TikTok recommends videos you may like by analyzing your watch history.
    • Instagram filters recognize your face and apply effects.
    • Self-driving cars detect the road, signals, and other cars to drive safely.
    • ChatGPT answers questions by learning from huge amounts of information.

    How Does AI Work? (Simple Steps)

    1. Input (Data) – AI receives information (like pictures, words, numbers, or sounds).
      Example: Thousands of cat photos.
    2. Learning (Training) – AI studies the data and finds patterns.
      Example: Cats usually have whiskers, pointy ears, and a meowing sound.
    3. Decision/Output – AI uses what it has learned to make a decision.
      Example: You show a new photo, and AI says, “This is a cat.”

    This process is called Machine Learning, a type of AI where machines improve by learning from data.

    Types of AI

    • Narrow AI (Weak Artificial Intelligence)
      • Focused on one task only.
      • Example: Google Translate (it translates text but cannot drive a car).
    • General AI (Strong AI)
      • Can do almost any task like a human.
      • Example: A robot that can study, play games, cook, and solve problems.
      • This does not exist yet.
    • Super AI
      • Smarter than humans in every field.
      • Example: A future machine that invents new ideas and discoveries better than humans.
      • Still a possibility for the future.

    Normal Computers vs Artificial Intelligence

    • Normal Computer: Follows fixed instructions.
      Example: A calculator always gives 2 + 2 = 4.
    • AI Computer: Learns and improves with experience.
      Example: Google Photos can recognize your face, even when you grow older or change your hairstyle.

    Why is Artificial Intelligence Important?

    AI is important because it helps in many areas:

    • Healthcare: Detecting diseases early.
    • Education: Creating personalized learning experiences for students.
    • Environment: Predicting weather and climate changes.
    • Business: Helping companies make better decisions.
    • Daily Life: Smarter apps, phones, and online tools.

    Summary : 

    AI is about teaching a computer how to learn and think so that it can help humans in smart and useful ways

    Next Steps :