Devops Fundamental by Infosys springboard.pdf

AWS Developer - Associate Certificate.pdf

DevOps-AWS Course Completion Certificate.pdf

EC2-AWS Course Completion Certificate.pdf

SHAMU_GULAJKAR_RESUME

Read writing from Sham Gulajkar on Medium. Cloud and DevOps Engineer

Sham Gulajkar on Medium curated some lists

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AI Engineer Certificate | OneRoadmap

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DevOps Engineer Certificate | OneRoadmap

<p>This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.</p>

Introduction to Generative AI

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🚀 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭: 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐏𝐫𝐨𝐯𝐢𝐬𝐢𝐨𝐧𝐢𝐧𝐠 & 𝐒𝐭𝐚𝐭𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 & 𝐀𝐖𝐒 ☁️🤖Managing Terraform state files manually in cloud projects?            
That’s old-school — and risky. 
❌Here’s my latest AI-driven solution to ensure consistency, reliability, and automation for cloud infrastructure provisioning using Terraform, AWS, and Python.

🔍 𝐓𝐡𝐞 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Organizations often face Terraform state drift, configuration errors, and concurrency issues during infrastructure updates — causing downtimes and deployment risks. Traditional state management is manual and prone to errors.

💡 𝐌𝐲 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: A fully automated AI Agent + Terraform system that ensures:

✅ 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: A Python-based AI Agent triggers and verifies Terraform workflows automatically — no manual init, plan, or apply needed.

✅ 𝐒𝐭𝐚𝐭𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲 𝐄𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭:Terraform state stored securely in AWS S3 (Versioning + Encryption).DynamoDB-based state locking to prevent concurrent state corruption.The AI Agent pre-checks S3 and DynamoDB health before any Terraform run.

✅ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 & 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐞𝐝:Dockerized Python AI Agent

Simple execution: 𝒅𝒐𝒄𝒌𝒆𝒓 𝒓𝒖𝒏 𝒂𝒊-𝒂𝒈𝒆𝒏𝒕
🔧 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞: Terraform
𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: AWS S3, DynamoDB, IAM
𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Python (Boto3)
𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Docker

📝 Full Source Code & Setup Instructions:)
https://lnkd.in/dd67C5d9

&quot;AI-Powered Terraform Infrastructure Solution&quot; | Sham Gulajkar posted on the topic | LinkedIn

In this documentation, we present a comprehensive guide on setting up a 🔄 #CI_CD #pipeline using 👨‍🍳 #Jenkins, 🔍#SonarQube, and 🐈#Tomcat. This pipeline ensures seamless integration and delivery of applications, enhancing code quality and #automating the deployment process. Jenkins serves as the backbone for continuous integration, orchestrating the build and #deployment_workflows. 
➡ SonarQube integrates with Jenkins to perform static code analysis, ensuring that code quality standards are met before deployment. Finally, Tomcat is used as the application server where the built application is deployed and tested. 
➡ By following this guide, developers can automate the build, test, and deployment stages, leading to more efficient development cycles and higher quality software releases.

How to create a CI_CD pipeline with Jenkins | Sham Gulajkar posted on the topic | LinkedIn

#AWS_Lambda 
🚀 #Optimize_Your_AWS_Environment_with_Automation! 🌐
Managing AWS resources effectively can be a daunting task, especially when it comes to ensuring that your environment remains clean and cost-efficient. One common challenge is dealing with unassociated or stale snapshots, which can quickly accumulate and lead to unnecessary costs.
To tackle this, I've implemented an AWS Lambda function that automates the deletion of these unused snapshots. By leveraging the power of AWS Lambda, you can ensure that your snapshots are continuously monitored and cleaned up without manual intervention.
🔧 How It Works:
#Identification: The function scans your AWS environment to identify snapshots that are not associated with any active volumes or instances.
#Verification: It verifies the status of these snapshots to ensure they are indeed stale or no longer needed.
#Deletion: Finally, it deletes the unassociated snapshots, freeing up space and reducing your AWS costs.
📈 #Benefits:
#Cost_Savings: Eliminate charges for unused snapshots.
#Automated_Management: Reduce the need for manual monitoring and cleanup.
#Enhanced_Efficiency: Keep your AWS environment clean and optimized.
Implementing this solution has significantly streamlined our resource management process and optimized our costs. If you're looking to enhance your AWS management practices, consider using Lambda for automated cleanup tasks!
#AWS #Lambda #CloudComputing #DevOps #Automation #CostOptimization #AWSLambda #CloudManagement
@Abhishek Veeramalla

How Lambda can save on snapshots with AWS Lambda | Sham Gulajkar posted on the topic | LinkedIn

🚀 Successfully Deployed a Vote Application with #Full_Monitoring Stack on Kubernetes (KIND)! 🐳📊
I'm excited to share the completion of my latest hands-on DevOps project!
 I deployed a microservices-based Vote Application using:
✅ Kubernetes KIND Cluster – Lightweight local K8s cluster
 ✅ Helm – For simplified application deployment & lifecycle management
 ✅ Prometheus – For real-time metrics collection & alerting
 ✅ Grafana – For beautiful and insightful dashboards & monitoring
🔍 Key Highlights:
Microservices (Vote, Result, Redis, Worker, PostgreSQL) deployed using Helm charts 🧱
Custom Prometheus scrape configs and service monitoring 📈
Grafana dashboards for CPU, memory, and service metrics 📊
Full local observability with KIND - a cost-effective, learning-friendly Kubernetes solution 💡
💡 This project helped me strengthen my skills in:
Kubernetes resource management
Monitoring and observability stack setup
Real-world deployment automation with Helm
🧑‍💻 Tech Stack: Kubernetes | KIND | Helm | Prometheus | Grafana | Docker
🔗 GitHub Repo: https://lnkd.in/d-KPE7cJ
If you're exploring Kubernetes monitoring or looking for a beginner-to-advanced project idea, happy to share insights!
#DevOps #Kubernetes #Helm #Grafana #Prometheus #Monitoring #K8s #KindCluster #Microservices #CloudNative #OpenSource #Docker #Observability #LearningByDoing

#full_monitoring #devops #kubernetes #helm #grafana #prometheus #monitoring #k8s #kindcluster #microservices #cloudnative #opensource #docker #observability #learningbydoing | Sham Gulajkar

🔒 Excited to share my latest document on #AWS_Multi_Factor_Authentication (MFA)! 🛡️ Dive into the world of enhanced security with insights on implementing MFA to #protect your AWS accounts and resources. From securing user access to safeguarding sensitive data, this document covers all aspects of #MFA_implementation and best practices. post for a detailed exploration and unlock the power of MFA in fortifying your AWS security posture. Let's strengthen our defenses and safeguard our digital assets together! 💪💻 #AWS #MFA #Security #CloudComputing 🌐

Learn about MFA for AWS security | Sham Gulajkar posted on the topic | LinkedIn

🚀 Just completed a DevOps challenge!
 🎯 Built and deployed a #multi_service backend app using:
✅ Docker
 ✅ Docker Compose
 ✅ Nginx Reverse Proxy
 ✅ Healthchecks & Modular Design
Two backend services (Golang + Python Flask) are containerized and routed via Nginx on a single port using URL paths like /service1 and /service2. I also added health checks and logs for observability.
🔍 What I learned:
 🔹 Service orchestration with Compose
 🔹 Nginx routing and log configuration
 🔹 Debugging container health and networking
💡 Want to check it out?
 📦 GitHub Repo: https://lnkd.in/dirP8yA6
 
#DevOps #Docker #Nginx #Python #Golang #CloudComputing #AWS #LinkedInProjects #OpenSource #TechLearning

#multi_service #devops #docker #nginx #python #golang #cloudcomputing #aws #linkedinprojects #opensource #techlearning | Sham Gulajkar

 🚀 Exploring the Power of Three-Tier Architecture with Docker 🚀
Efficient and scalable application deployment is crucial. The three-tier architecture, consisting of the presentation, logic, and data tiers, offers a robust solution. 
When combined with Docker, it brings unprecedented flexibility and ease of management. Docker containers allow each tier to run in isolated environments, ensuring consistency across different stages of development and deployment. This modular approach not only enhances security but also simplifies scaling and maintenance. 
comprehensive guide to understand how leveraging Docker in a three-tier architecture can transform your development workflow, ensuring your applications are resilient, scalable, and ready for the future. 🌐🔧📈 #Docker #ThreeTierArchitecture #Microservices #DevOps #CloudComputing

How Docker simplifies application deployment | Sham Gulajkar posted on the topic | LinkedIn

Excited to share my latest document on #AWS_VPC_Endpoints! 🌐 Dive into the world of secure and private connectivity with insights on setting up VPC endpoints to access AWS services without traversing the public internet. From #S3 and #DynamoDB to AWS services, this document covers all you need to know about leveraging VPC endpoints for enhanced security and reduced latency in your AWS infrastructure. exploration and unlock the power of VPC endpoints in your AWS environment. Let's secure our connections and streamline our workflows together! 💡💻 #AWS #VPC #Security #CloudComputing

 Here are some key points about AWS VPC endpoints:

✅ #Private_Connectivity: VPC endpoints enable private connectivity between your VPC and AWS services without requiring internet gateways, NAT devices, VPN connections, or direct peering connections.
✅ #Enhanced_Security: By using VPC endpoints, you can keep traffic between your VPC and AWS services within the AWS network, reducing exposure to potential security threats from the public internet.
✅ #Reduced_Latency: VPC endpoints allow you to access AWS services from within your VPC with lower latency compared to accessing them over the internet, resulting in improved application performance.
✅ #Gateway_Endpoints: Gateway endpoints are used for accessing AWS services such as Amazon S3 and DynamoDB from your VPC. They are powered by AWS PrivateLink and provide scalable and highly available connectivity to these services.
✅ #Interface_Endpoints: Interface endpoints, also known as AWS PrivateLink endpoints, enable private connectivity to AWS services that are powered by AWS PrivateLink. These endpoints use Elastic Network Interfaces (ENIs) to connect to the service.
✅ #Endpoint_Policies: You can control access to your VPC endpoints using endpoint policies. Endpoint policies allow you to specify which resources can access the endpoint and what actions they can perform.
✅ #Multiple_Endpoints: You can create multiple VPC endpoints within a single VPC to access different AWS services privately, providing flexibility and granularity in your network architecture.
✅ #Cross_Region_Endpoints: VPC endpoints can be created in different AWS regions to enable private connectivity to services located in those regions, facilitating distributed application architectures.
✅ #Integration_with_AWS Services: VPC endpoints seamlessly integrate with various AWS services, including S3, DynamoDB, SNS, SQS, and more, allowing you to securely access these services from your VPCs.
✅ #Cost_Optimization: By using VPC endpoints, you can optimize data transfer costs associated with accessing AWS services over the internet, as traffic between your VPC and the service stays within the AWS network.


vpc endpoint | Sham Gulajkar

"Excited to share my latest document on AWS VPC peering! 🌐 Dive into the world of Virtual Private Cloud connectivity with insights on setting up seamless communication between VPCs. Whether you're optimizing network architecture or enhancing security protocols, this document covers it all. Check out my LinkedIn post for a detailed walkthrough and unlock the potential of VPC peering in your AWS environment. Let's elevate our cloud networking game together! #AWS #VPCPeering #CloudNetworking"

New document on AWS VPC peering | Sham Gulajkar posted on the topic | LinkedIn

Sham Gulajkar

DevOps enthisiast implementing and automating CI/CD pipelines using Jenkins. Proficient in AWS cloud, infrastructure, containerization.

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