About Me
DevOps & Cloud Professional
I'm Akshay Kakatkar, a DevOps engineer with expertise in cloud infrastructure and automation. With a background in software development, I specialize in building and maintaining robust, scalable cloud solutions using technologies like Docker, Kubernetes, and Terraform.
I'm passionate about creating efficient, automated workflows that enable teams to deliver software faster and more reliably.
Currently, I'm working as a Software Developer at MathonGo, where I contribute to both backend and frontend development.
Skills & Technologies
Languages
JavaScriptTypeScriptPythonC++GroovyBash
Frontend
ReactJSNextJSTailwind CSSMaterial UINextUIShadcn UIBootstrap
Backend
NextJSFastAPINestJSExpressJStRPCDrizzle ORMPrisma ORMMongoose
Version Control
GitGitHubGitLabBitBucket
CI/CD & GitOps
JenkinsGroovyGitHub ActionsGitLab CIArgoCDFluxCDTravis CI
Containerization & Orchestration
DockerKubernetesGKEEKSHelmKubectlContainer Registry
Infrastructure as Code
TerraformCloudFormationAnsiblePulumiTerragrunt
AWS Services
EC2EKSLambdaCloudFrontS3RDSVPCIAMCloudWatchSecrets ManagerRoute 53ELB
GCP Services
GKECompute EngineCloud StorageMedia CDNCloud Load BalancingCloud IAMCloud MonitoringSecret ManagerCloud DNSCloud Functions
Monitoring & Observability
PrometheusGrafanaCloudWatchStackdriverELK StackDatadogNewRelicConviva
Web Servers
TraefikNginxApacheCaddy
Databases
SQLitePostgreSQLMySQLMariaDBMongoDBRedis
Platforms & Tools
VS CodeLinuxLinux Server ToolsYAMLJSONShell ScriptingMegaport
Cloud Platforms
AWSGCPAzureOracle Cloud
Work Experience
My professional journey and accomplishments.
- Designing and implementing multi-cloud infrastructure on AWS and GCP, ensuring high availability, scalability, and cost optimization across cloud platforms.
- Managing and orchestrating containerized applications using Google Kubernetes Engine (GKE) and Amazon EKS, handling deployments, scaling, and service mesh configurations.
- Using Helm to deploy applications on Kubernetes clusters, creating and maintaining Helm charts for existing applications, and standardizing deployment processes across multiple environments.
- Implementing and optimizing CDN strategies using AWS CloudFront and GCP Media CDN for global content delivery, reducing latency by 40% and improving user experience.
- Building and maintaining CI/CD pipelines using Jenkins with Groovy-based pipeline-as-code, automating build, test, and deployment processes across multiple environments.
- Implementing Infrastructure as Code (IaC) using Terraform and CloudFormation to manage cloud resources, ensuring version control and repeatable deployments.
- Setting up monitoring, logging, and alerting solutions using CloudWatch, Stackdriver, Prometheus, Grafana, and NewRelic for proactive issue detection and resolution.
- Implementing video analytics and monitoring using Conviva for real-time video quality insights and performance optimization.
- Configuring and managing network connectivity using Megaport for private cloud connections and multi-cloud networking.
- Optimizing cloud costs through resource right-sizing, reserved instance management, and automated scaling policies, achieving 30% cost reduction.
- Implementing security best practices including IAM policies, VPC configurations, network security groups, and secrets management using AWS Secrets Manager and GCP Secret Manager.
- Managing container registries, image scanning, and ensuring secure container deployments across environments.
- Collaborating with development teams to containerize applications, optimize Docker images, and implement blue-green and canary deployment strategies.
AWSGCPGKEEKSCloudFrontMedia CDNRoute 53JenkinsGroovyTerraformKubernetesDockerHelmPrometheusGrafanaNewRelicConvivaMegaport
- Developed and maintained backend and frontend for a Learning Management Platform using NodeJS, ExpressJS, MongoDB, and Redis, providing robust and scalable solutions for managing user data and course content. The platform supports 15,000 active users and handles 1 million daily requests.
- Utilized Redis caching and integrated OAuth for secure authentication, enhancing performance, data retrieval efficiency, and user data privacy.
- Designed and implemented RESTful APIs to ensure efficient communication between frontend and backend components, delivering a consistent and engaging user experience.
- Worked on the backend for a JEE/NEET Preparation App with 1.6 million active users and 50 million daily requests, achieving a 50% improvement in response time.
- Optimized the backend for the Quizrr Platform, an online test series platform serving 100,000 active users and handling 10 million daily requests, boosting response performance by 150%.
- Leveraged AWS Lambda Functions to offload complex calculations from ExpressJS, reducing CPU usage and enhancing scalability.
- Collaborated with cross-functional teams to resolve issues, maintain backend reliability, and ensure high availability and performance across all platforms.
NodeJSExpressJSMongoDBRedisRESTful APIsAWS Lambda
Featured Projects
Exploring my technical projects and their implementations.
A comprehensive Learning Management Platform supporting 15,000 active users and handling 1 million daily requests. Built with NodeJS, ExpressJS, MongoDB, and Redis for robust and scalable solutions.
Key Features
- Scalable backend architecture handling 1M+ daily requests
- Redis caching for enhanced performance
- Secure OAuth authentication
- RESTful API design for efficient communication
- AWS Lambda integration for complex calculations
- High availability and performance optimization
NodeJSExpressJSMongoDBRedisRESTful APIsOAuth
An online test series platform serving 100,000 active users and handling 10 million daily requests. Achieved 150% improvement in response performance through optimization.
Key Features
- High-performance backend optimized for 10M+ daily requests
- 150% improvement in response time
- Scalable architecture for 100K+ active users
- Efficient data retrieval and caching
- AWS Lambda integration for complex operations
- Cross-functional team collaboration
NodeJSExpressJSMongoDBRedisRESTful APIsAWS Lambda
A JEE/NEET Preparation App with 1.6 million active users and 50 million daily requests. Achieved 50% improvement in response time through backend optimization.
Key Features
- Massive scale handling 50M+ daily requests
- 50% improvement in response time
- Support for 1.6M+ active users
- Optimized backend architecture
- Efficient data management and retrieval
- High availability and reliability
NodeJSExpressJSMongoDBRedisRESTful APIsAWS Lambda
A 4-node Kubernetes cluster deployment on Oracle Cloud Infrastructure (OCI) using Terraform for Infrastructure as Code (IaC).
Key Features
- Automated infrastructure provisioning using Terraform
- 4-node Kubernetes cluster setup
- Cloud-init for instance configuration
- GitOps with ArgoCD and FluxCD
- Comprehensive monitoring with Prometheus, Grafana, and Loki
- Backups to S3-compatible storage (Cloudflare R2)
TerraformKubernetesOracle CloudCloud-initGitOpsPrometheusGrafanaLoki
Let's Connect
Have a question or want to work together? Reach out to me directly or use the form below.
Contact Information
Phone
+91 9172932468