Managing log data is becoming increasingly challenging as systems grow in complexity. Traditional methods, like manually sifting through logs or relying on rigid rule-based systems, are slow, error-prone, and often miss emerging threats. AI-driven log analysis addresses...
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Metric division is a powerful technique in Prometheus for deriving meaningful insights from time series data. It allows you to compare metrics on different scales, calculate rates and efficiency metrics, and identify trends and anomalies. This blog post will explore the concept of metric division in Prometheus, its importance for ...
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Monitoring a Kubernetes cluster isn't optional—it's essential. Without proper observability, identifying performance bottlenecks, debugging failed pods, or understanding system behavior at scale becomes nearly impossible. In this guide, we've compiled 11 popular Kubernetes monitoring tools, including...
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Monitoring containerized environments effectively is crucial for debugging, capacity planning, and maintaining uptime. In this guide, we'll walk through a hands-on setup of Prometheus and Grafana entirely on Docker, ideal for local development, POCs, or staging environments, no Kubernetes required. Why Use Docker for Prometheus and Grafana?...
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New Relic is a leading observability platform that has embraced a usage-based pricing model, making it distinct from traditional host-based pricing structures. Whether you're new to New Relic or looking to manage rising costs, this guide will break down its pricing model, help you estimate your expenses, and offer practical tips for optimizing your observability investment. New Relic Pricing at a Glance...
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The Kubernetes market is booming and is expected to reach a $3.76 billion market size this year, reflecting its widespread adoption and innovation. At the same time, platform engineering is evolving rapidly with Kubernetes as its backbone. When using Kubernetes...
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Let’s say you get Prometheus up and running for one team in your organisation. Then, all of a sudden, multiple requests start coming in from every product, project, and business unit, and they all want their own isolated monitoring setup. Suddenly...
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Platform teams aim to simplify development, but as organisations scale and delivery demands rise, complexity increases fast. Balancing speed, security, and scalability presents a challenge, prompting teams to consider whether they need an internal developer platform, an... Read More →
You're probably using more tools than you think, and still not moving fast enough. As software teams scale and systems become more complex, managing infrastructure, deployments, and developer experience becomes challenging. Platform engineering has emerged as a response to this... Read More →
Monitoring Kubernetes environments is essential for maintaining application health, reliability, and efficiency. As clusters become more complex, the volume and variety of telemetry data increase, making it crucial to understand how issues at the application level can impact underlying infrastructure. Traditional approaches—...
Read More →Kubernetes has become the backbone of modern, cloud-native infrastructure—but with its power comes complexity. Its dynamic nature, ephemeral workloads, and multi-layered architecture make monitoring essential for ensuring application performance, reliability, and scalability. Effective Kubernetes monitoring goes beyond basic metrics. It’s about gaining ...
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AI agentic assistants are autonomous systems that reason, decide, and act during operations incidents. They matter now because modern cloud-native systems are too complex for humans alone, cloud economics demand efficiency, and talent shortages increase operational risk...
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Let's start with the High Level Design. The diagram below provides a visual representation of the services used in this project and how they are connected. This application uses EC2 Instance, Docker, DockerImage, Trivy, SonarQube, Monitoring using Prometheus & Grafana, Jenkins for CI/CD and Kubernetes itself..
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Project Overview and High level Design Let's start with the High Level Design. The diagram below provides a visual representation of the services used in this project and how they are connected. This application uses Python, Docker, DockerImage, Elastic Container Registry(ECR), Elastic Kub...
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In this series, we'll build the event driven architecture using AWS Event Bridge which will pass the event generated from event generator to different end points viz API Gateway, SQS and Step Function..
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One of the question asked in my previous interview, was kinda very normal if you are sitting for the SRE Interview and it was nothing out of the box. The question was how DNS works illustrate with the linux command?... Read More →
Pipes allow transfer a data between processes in the first-in-first-out manner (FIFO), and they also allow synchronization of process execution. Their implementation allows processes to communicate even though they do not know what processes are on the other end of the pipe hence results in one-directional communication channels between...
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>Kubeflow on Minikube Cluster You can deploy the Kubeflow pipeline on Kubernetes/minikube cluster on Windows host machine powershell with administrative privileges using the following few commands :...
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Being a DevOps or MLOps professional often feels like walking a tightrope. Managing infrastructure to deploy workloads can leave us tearing our hair out. While DevOps is often associated with tools and technologies, at its core, it’s about fostering workflows and culture...
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LevelUp! Lab for Serverless Project Overview and High Level Design Let's start with the High Level Design. The diagram below provides a visual representation of the services used in this tutorial and how they are connected....
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In this series, we'll build the event driven architecture using AWS Event Bridge which will pass the event generated from event generator to different end points viz API Gateway, SQS and Step Function...
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One of the question asked in my previous interview, was kinda very normal if you are sitting for the SRE Interview and it was nothing out of the box. The question was how DNS works illustrate with the linux command? I dove into explaining the entire DNS process, breaking down the intricate concepts of Root Level Domain (RLD), Top Level Domain (TLD), Second Level Domain (SLD), and Fully Qualified Domain Name (FQDN). The interviewer, keen on understanding the...
Read More →INTANGLES LAB
May 2025 - Present, Pune
Managing scalable, secure, and robust infrastructure across a complex distributed stack including RabbitMQ, MQTT, Kubernetes, Cast AI, AWS, Datadog, MongoDB, ScyllaDB, TimescaleDB, Prometheus, and Grafana
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Stealth AI SRE Startup
April 2025
Built Kubernetes-based demo environments to showcase real-world reliability and AI-based incident-response capabilities.
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Kloudfuse
April 2025
Freelance Technical Content Writer contributing to Kloudfuse’s engineering and marketing communication efforts.
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EverythingDevOps
April 2025
Freelance Technical Content Writer producing in-depth articles for platform-engineering and cloud-native startups.
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Medium Publication
February 2025
Authored an advanced Kubernetes troubleshooting guide using GPTScript to automate diagnostics and accelerate incident resolution
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Zensoft Services
January 2025, Pune
Developed and maintained robust automation scripts using Qualitia and Selenium (Java) for both web and API testing workflows.
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SigNoz
December 2024 — May 2025
Contributing in-depth technical articles on observability, OpenTelemetry, server monitoring, the Prometheus–Grafana stack, AI log analysis,
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OptAIoT Pvt Ltd
June 2023 — April 2024, Pune
Led the initiative of containerizing the company’s IoT Gateway on Raspberry Pi hardware, transforming it from a manually deployed system into a standardized, scalable, and portable deployment model.
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FlytBase
April 2024 — July 2024, Baner, Pune
Worked on performance testing, Kubernetes operations, and core platform security as part of the DevSecOps team for mission-critical drone automation systems.
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AI Planet
Beginning of Engineering Journey
Sept 2023, Leuven, Belgium
Automated GCP infrastructure deployment using Terraform Vault, and enabling secure, reproducible provisioning workflows for the GenAI platform.
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Hashnode
2022 — Beginning of Writing Journey
Worked on performance testing, Kubernetes operations, and core platform security as part of the DevSecOps team for mission-critical drone automation systems.
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Kubernetes, Docker, Argo CD
AWS, GCP, Azure
Terraform, Ansible, Helm, CloudFormation
Prometheus, Grafana, SigNoz, Datadog
CircleCI, GitHub Actions, GitLab CI
Serverless, Microservices, Event-Driven Systems
Linux Troubleshooting,
Kubernetes Troubleshooting (K8sGPT + GPTScript),
Load Testing (k6)
Amazon Web Services (AWS)
Issued Dec 2023
Security, Docker, Helm, Kubernetes, EKS
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Amazon Web Services (AWS)
Issued Sep 2023
EKS, Solution Architecture
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Amazon Web Services (AWS)
Issued Jul 2023
AWS Basics
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