About
I like tinkering with system infrastructure :)
Anyways, Hi there! I'm a final year…
Activity
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Cloud Cost Optimization is easy and can be done with built-in CSP dashboards, monitoring, and alerts is probably the biggest misconception. Idle…
Cloud Cost Optimization is easy and can be done with built-in CSP dashboards, monitoring, and alerts is probably the biggest misconception. Idle…
Liked by Akhilesh Nadgiri
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Just married! Both husband and wife are working Age: 30 and 28 yrs Status: Middle class Scenario 1: Social pressure forced them to buy a flat…
Just married! Both husband and wife are working Age: 30 and 28 yrs Status: Middle class Scenario 1: Social pressure forced them to buy a flat…
Liked by Akhilesh Nadgiri
Experience
Education
Licenses & Certifications
Projects
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MaaS (Monitoring-as-a-Service)
• Tech Stack: Golang, Kafka, Elasticsearch, Logstash, Kibana, Docker Compose
• Data is published to a Kafka server via an external producer (written in Golang).
• Logstash reads data from the Kafka topic and then ingests, transforms and sends it to Elasticsearch.
• Elasticsearch acts as a database to store and index the data.
• Dashboards for analysis are created using Kibana.
• Configured containers for Elasticsearch, Logstash, Kibana, Kafka using Docker Compose. -
Continuous Integration for ML
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• Tech stack: Tensorflow, CML, GitHub Actions
• Automated parts of development workflows including model training and evaluation.
• Defined all workstream processes in a special Continuous Machine Learning (CML) YAML file.
• Used a simple TensorFlow Regression model and a graph plotting by Matplotlib -
UniRydes
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• Tech-Stack: AWS - Amplify, Lambda, DynamoDB, API Gateway, Cognito
• Created a simple serverless web application that enables users to request unicorn rides.
• Used AWS Amplify for continuous deployment and hosting of web resources.
• Built a public backend API using AWS Lambda and AWS API Gateway for JavaScript execution.
• Provided user management and authentication functions using Amazon Cognito.
• Used DynamoDB to provide a persistant layer for storage. -
AWS Infrastructure Provisioning
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• Tech-stack: Terraform, Jenkins, AWS
• Streamlined the deployment process to ensure cloud infrastructure is highly available and reliable.
• Created Terraform scripts to provision resources.
• Uniquely naming instances and installing Apache on them.
• Created a declarative Jenkins CI/CD pipeline to detect changes. -
K8s Monitoring
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• Tech Stack: Kubernetes, Prometheus, Grafana
• Monitor Kubernetes clusters in any service using Prometheus and Grafana deployments.
• Scrapped data from Kubernetes API server in regular intervals of time and stored in Prometheus.
• Exported this data to Grafana to gain complex metrics in visually appealing graphs or charts. -
Ansible - Web Server Automation
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• Tech-stack: AWS, Ansible
• Implemented horizontal scaling for web servers using Round Robin algorithm for load balancing.
• Used HAProxy as reverse proxy and Apache's HTTP as backend server on multiple AWS EC2 instances. -
OverWatch
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• Tech Stack: Python, PyGame
• A classic arcade style shooting game built from scratch using Python and PyGame framework.
• Tiers of procedurally generated targets are animated at each level and checked if a player has shot.
• Accordingly, score is updated in an external text file.
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If I travel back 10 years to when I started working in AWS, I will engage more on these: - Build a reusable templates library - Document the…
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😒 CTO realizes their startup's infrastructure can't handle scaling. 🤩 CTO decides to implement Kubernetes without understanding its complexity…
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Dear boss, I am not Aishwarya Rai Bachchan but, "Mera chain wain sab ujda. Zalim workload ghataale. Barbaad ho rahe hain ji, tere apne team…
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