Janakiram MSV

Hyderabad

Senior Contributor at Forbes

Principal and Analyst at Janakiram MSV

Analyst | Advisor | Architect

Articles

Tutorial: Build a Simple MCP Server With Claude Desktop

1 week ago | thenewstack.io | Janakiram MSV

In the previous part of this series, I introduced the basic concepts of Model Context Protocol (MCP) — an open standard designed to streamline how AI models interact with external tools, data sources and resources. In this installment, I’ll walk you through the step-by-step process of building an MCP server and integrating it with Claude Desktop. We’ll use Python and FastMCP 2.0 to build an MCP server that utilizes the FlightAware API.
Gateway API or Ingress: A Developer’s Guide to Kubernetes Routing

1 week ago | thenewstack.io | Janakiram MSV

Managing how applications within a Kubernetes cluster communicate with the outside world is a fundamental challenge. For years, the standard approach involved the Kubernetes Ingress API. While functional for basic HTTP and HTTPS routing, Ingress often required complex, non-standard annotations to handle more advanced scenarios, leading to portability issues and configuration headaches.
Everything Meta Announced At LlamaCon

2 weeks ago | forbes.com | Janakiram MSV

Meta’s first-ever LlamaCon developer conference focused on the strategic expansion of its artificial intelligence ecosystem. The company introduced a consumer-facing Meta AI app, released a preview of its Llama API, and unveiled security tools aimed at strengthening its open-source AI approach.
Model Context Protocol: A Primer for the Developers

2 weeks ago | thenewstack.io | Janakiram MSV

The Model Context Protocol (MCP) is on its way to becoming the gold standard for integrating external resources into agentic workflows. While developers can use large language model (LLM)-specific mechanisms to incorporate tools, MCP is fast becoming the REST equivalent of integration. This series introduces Python developers to the fundamentals of MCP and its architecture.
Nvidia lanza los microservicios NeMo para optimizar el desarrollo de agentes de IA

2 weeks ago | forbes.es | Janakiram MSV

Nvidia anunció la disponibilidad general de sus microservicios NeMo, que brindan a las empresas herramientas para crear agentes de IA que se integran con los sistemas empresariales y mejoran continuamente mediante la interacción con los datos. Estos microservicios se lanzan en un momento en que las organizaciones buscan estrategias concretas de implementación de IA que puedan generar retornos mensurables de importantes inversiones en tecnología.
Nvidia Releases NeMo Microservices To Streamline AI Agent Development

2 weeks ago | forbes.com | Janakiram MSV

Nvidia unveiled the general availability of its NeMo microservices, equipping enterprises with tools to build AI agents that integrate with business systems and continually improve through data interactions. These microservices are being launched at a time when organizations are seeking concrete AI implementation strategies that can provide measurable returns on significant technology investments.
Descope Builds Authentication Framework For AI Agent Integration

3 weeks ago | forbes.com | Janakiram MSV

Enterprises deploying AI agents face a critical infrastructure gap between their applications and these emerging autonomous systems. Descope, a Silicon Valley-based startup, addresses this challenge with its newly launched Agentic Identity Hub, a platform that enables secure authentication and authorization between AI agents and enterprise applications.
Docker Brings Familiar Container Workflow To AI Models And MCP Tools

3 weeks ago | forbes.com | Janakiram MSV

Docker recently announced new tools that apply container technology principles to artificial intelligence development, addressing key challenges around AI model execution and Model Context Protocol integration. The company’s MCP Catalog, MCP Toolkit and Model Runner aim to standardize how developers deploy, secure and manage AI components using familiar container workflows.
Tutorial: GPU-Accelerated Serverless Inference With Google Cloud Run

3 weeks ago | thenewstack.io | Janakiram MSV

Tutorial: GPU-Accelerated Serverless Inference With Google Cloud Run Feature image via Unsplash. Recently, Google Cloud launched GPU support for the Cloud Run serverless platform. This feature enables developers to accelerate serverless inference of models deployed on Cloud Run.
OpenAI Shifts Focus With GPT-4.1, Prioritizes Coding And Cost Efficiency

1 month ago | forbes.com | Janakiram MSV

OpenAI launched its GPT-4.1 family of AI models focusing on enhancing developer productivity through improved coding, long-context handling and instruction-following capabilities available directly via its application programming interface. The release includes three distinct models, GPT-4.1, GPT-4.1 mini and GPT-4.1 nano, signaling a move toward task-specific optimizations within the large language model landscape.