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A Microsoft Most Valuable Professional in ASP.NET (2007 - 2012), Speaker, and Author of several books and articles. More than 25 years of experience in IT, with more than 20 years in Microsoft .NET and its related technologies. Was a speaker at several conferences, such as Speaker at the reputed Spark IT 2010 and the Dr. Dobb’s Conference events held in Bangalore. A regular speaker at several virtual conferences worldwide, such as the SSWUG Virtual Conference. Delivered presentations on Agile, DevOps, Risk Management, etc. Authored many articles on some of the most reputed sites worldwide, including MSDN, InfoWorld, TechTarget, CodeMag, Developer, CodeGuru, Tech Beacon, Auth0, MSSQLTips, Tech Target, etc. Well-versed in C, C++, C#, Core Java, Python, ASP.NET Core, ASP.NET Core MVC, Microservices, Serverless Architecture, Design Patterns, Kafka, RabbitMQ, REST, SOA, GraphQL, SQL Server, AI & Machine Learning, Operating Systems, Computer Architecture, Agile, DevOps, DevSecOps, Kubernetes, etc. Authored the following books:- Mastering C# 8.0 (BPB Publishers) Entity Framework Tutorial Second Edition (Packt Publishing) ASP.NET Web API (Packt Publishing) Visual Studio Six in One (Wrox) ASP.NET 4.0 Programming (Mc-Graw Hill Publishing) Pro Sync Framework (APRESS) Sams Teach Yourself ASP.NET Ajax in 24 Hours (Sams Publishing) Entity Framework Tutorial (Packt Publishing) ASP.NET Data Presentation Controls Essentials (Packt Publishing)

agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

Why Kubernetes is Great for Running AI/MLOps Workloads 

Kubernetes has become the de facto platform for deploying AI and MLOps workloads, offering unmatched scalability, flexibility, and reliability. Learn how Kubernetes automates container operations, manages resources efficiently, ensures security, and supports ...
Joydip Kanjilal | October 29, 2025 | AI containerization, AI model deployment, AI on Kubernetes, AI scalability, AI Workloads, cloud-native ML, container orchestration, data science infrastructure, DevOps for AI, edge AI, fault tolerance, federated learning, GPU management, hybrid cloud AI, Kubeflow, KubeRay, kubernetes, Kubernetes automation, Kubernetes security, machine learning on Kubernetes, ML workloads, MLflow, MLOps, persistent volumes, resource management, scalable AI infrastructure, TensorFlow
agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

The Future of Cloud-Native DevOps, DataOps, FinOps and Beyond 

Explore how cloud-native DevOps, DataOps, and FinOps are shaping the future of scalable, automated, and intelligent cloud application development ...
Joydip Kanjilal | October 24, 2025 | agile cloud development, AI and ML in DevOps, AIOps, automation in cloud, CI/CD pipelines, cloud computing trends, cloud-native applications, cloud-native DataOps, cloud-native DevOps, cloud-native FinOps, cloud-native software delivery, cloud-native strategy, cloud-native transformation, containerization, DevSecOps, edge computing, enterprise cloud optimization, future of DevOps, GitOps, infrastructure as code, intelligent cloud platforms, kubernetes, microservices architecture, platform engineering, scalable cloud apps, serverless computing
autoscaling, Tailscale, Kubernetes, argo cd, Kubernetes v1.33,  AI, Nelm, Kubernetes, architecture, , architecture, Rackspace, GPUs, Kubernetes, Solo.io Kubernetes cloud foundry keptn cloud-native automation

Components of the Kubernetes Architecture

Kubernetes architecture, how it works and why it is considered the de facto platform for deploying and managing containerized applications.  ...
Joydip Kanjilal | March 6, 2025 | kubernetes, Kubernetes architecture
Kubernetes, observability, tracing, kubernetes observability, Grafana labs, kubernetes, observe, tool, Datadog, data, observability, kubernetes Docker Granulate observability

An Introduction to Kubernetes Observability

The significance of monitoring, logging and tracing for achieving comprehensive observability of applications deployed on Kubernetes with practical tips for using observability efficiently in your Kubernetes clusters.  ...
Joydip Kanjilal | January 22, 2025 | kubernetes, observability
MACH, system, cloud native, ITSM, technologies, AI and ML, CloudOps, Cloud Foundry Mirantis

How AI and ML Can Transform CloudOps   

Blending AI and ML in CloudOps comes with several security and privacy concerns around protecting your data at rest and in transit and meeting compliance and regulatory obligations.   ...
Joydip Kanjilal | December 20, 2024 | AI, cloudops, ML
tools, open source, Red Hat, tools, SUSE, tools, tool portfolio, tools Kubernetes

Top 10 Kubernetes Tools

This article digs into the top Kubernetes tools (both proprietary and open source) that can help you get the most out of Kubernetes ...
Joydip Kanjilal | November 25, 2024 | kubernetes, Kubernetes tools
cloud-native, applications, cloud-native cloud-agnostic CI/CD

Strategies for Building Resilient, Scalable Cloud-Native Applications

It is vital for organizations today to adopt cloud-native application development approaches to be more agile, scalable, and innovative in this competitive landscape ...
Joydip Kanjilal | June 18, 2024 | applications, cloud native, cloud-native architecture
Korifi Lightbend

The Evolution of the Kubernetes Gateway API

The Kubernetes Gateway API, an inherent Kubernetes component, offers a standardized approach for managing and configuring incoming traffic inside Kubernetes deployments.  ...
Joydip Kanjilal | June 5, 2024 | Kubernetes Gateway API
The Evolution of the Kubernetes Gateway API

The Evolution of the Kubernetes Gateway API

The Kubernetes API plays a key role in the Kubernetes ecosystem, driving development, teamwork and creativity ...
Joydip Kanjilal | April 2, 2024 | API, application development, cloud native, gateway API, kubernetes
Kubernetes business

A Deep Dive Into Kubernetes Operators

Operators provide an elegant way to extend Kubernetes' native capabilities and automate complex application-specific tasks ...
Joydip Kanjilal | August 3, 2023 | best practices, kubernetes, Operators, orchestration

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Secure AI Everywhere: From Edge to Container
18 December 2025
Secure AI Everywhere: From Edge to Container

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Safeguarding Data & Compliance on Next-Gen iOS Devices
16 December 2025
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11 December 2025
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The Next Evolution of Application Security: AI-Accelerated DevSecOps
9 December 2025
The Next Evolution of Application Security: AI-Accelerated DevSecOps

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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

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MOST READ

Komodor Extends Autonomous AI Agent for Optimizing Kubernetes Clusters

November 5, 2025

Open Source KServe AI Inference Platform Becomes CNCF Project

November 13, 2025

pgEdge Adds Ability to Distribute Postgres Across Multiple Kubernetes Clusters

November 5, 2025

Causely Adds MCP Server to Causal AI Platform for Troubleshooting Kubernetes Environments

November 6, 2025

CNCF Adds Program to Standardize AI Workloads on Kubernetes Clusters

November 11, 2025

RECENT POSTS

The Human Side of Kubernetes: Curiosity, Community and Change
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The Human Side of Kubernetes: Curiosity, Community and Change

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What I’m Thankful for in Cloud Native This Year: A Community That Keeps Building the Future

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Cloud Native Doesn’t Have to Mean Cloud-Frustrating

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