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Schedule Interview NowMy name is Manish K. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Kubernetes, Docker, Google Cloud Platform, Jenkins, Ansible, etc.. I hold a degree in Bachelor of Technology (BTech), Bachelor of Technology (BTech). Some of the notable projects I’ve worked on include: Using Terraform for Effective AWS Infrastructure Setup and Management, Azure Kubernetes DevOps Engineer, AWS Expert. - IAC, Application Deployed over GCP, using GKE Cluster, Containerised the Application in 2 Phases and Deployed it over ECS., etc.. I am based in Bilaspur, India. I've successfully completed 7 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Amazon India
We provide robust, scalable, and efficient AWS infrastructure solutions using Terraform. Our services include setting up VPC, ECR, ECS Fargate, Load Balancers, CloudWatch, DNS, and DynamoDB. We utilize Terraform workspaces to manage multiple environments, ensuring consistency and easy maintenance across development, staging, and production.
This architecture diagram showcases the setup of production (Prod) and pre-production (Preprod) environments utilizing Kubernetes on a cloud platform. It highlights the orchestration of containerized applications across namespaces. The cloud-based Kubernetes Service manages deployment and scaling, while CI/CD pipelines on a dedicated VM automate deployment processes. Integration with a project management tool streamlines project management for the development project. Ingress controllers facilitate external access, directing traffic to the appropriate backend services.
- AWS IAC has been done using Terraform. As shown in the above diagram, this architecture deployed having three services that run in public and private subnets in a VPC. Frontend service - This is the public-facing application that receives the traffic from an internet-facing application load balancer. Customer and Transaction services - These are two microservices that run inside private subnets. These two services communicate with each other using an internal load balancer.
An application deployed over the Google Cloud Platform (GCP) using the Google Kubernetes Engine (GKE) cluster brings together the power of GCP's infrastructure and the scalability of Kubernetes. GKE simplifies the process of managing and orchestrating containerized applications by providing an efficient and scalable environment. With GKE, developers can easily deploy, manage, and scale their applications, leveraging the robustness and reliability of GCP's infrastructure. This combination enables seamless scalability, fault tolerance, and efficient resource allocation, allowing businesses to focus on developing and delivering their applications without worrying about the underlying infrastructure.
Phase 1: In Phase 1, the application's frontend and backend were containerized, allowing for easy management and deployment. Leveraging the flexibility of containers, the application was deployed on Amazon Elastic Compute Cloud (EC2). This deployment approach facilitated scalability, reliability, and efficient resource utilization, ensuring the smooth operation of the application. Phase 2: Building upon the containerization achieved in Phase 1, Phase 2 focused on further enhancing the deployment process by leveraging Amazon Elastic Container Service (ECS). The application was migrated to ECS, a highly scalable and managed container orchestration service. This migration enabled streamlined deployment, improved resource utilization, automatic load balancing, and enhanced resilience of the application. ECS provided a robust infrastructure for running and scaling containerized applications with ease.
Bachelor of Technology (BTech) in DevOps, SysOps, Cyber Security, Database Admin, System Database Admin
2012-01-01-2015-01-01
Bachelor of Technology (BTech) in Information Technology