Error budget is the mechanism to quantify allowed unreliability An error budget is the inverse of reliability. It defines how unreliable the service is allowed to be. This unavailability can a result of some planned/unplanned maintenance, hardware or infrastructure failure,…
ASP.NET Core SignalR is an open source library for ASP.NET Core developers that makes it extremely simple to add real-time web functionality, ability for server-side code to push content in real-time, to the connected clients. As a result, clients are…
Read More Fully managed SignalR Service on Azure – in Preview
What is a content delivery network? A content delivery network (CDN) is a network distributed and interconnected servers that deliver pages and other Web content to a user much faster, based on the geographic locations of the user. The goal…
Read More Azure CDN to Improve your website’s performance and responsiveness
It's been 12 years now, since Amazon Web Services or AWS was launched, almost 4 years before the actual launch of Microsoft Azure in 2010. Both the players in cloud have grown significantly in past few years. Despite a head…
Read More Microsoft Azure vs Amazon Web Services – Battle Field
What is Data Lake? A data lake is a storage repository that holds a vast amount of raw data in its original format to apply analytics and run big data analysis. Data lake handles the three Vs of big data (Volume,…
The software industry has experienced several transformative shifts over the past two decades. Agile accelerated delivery cycles, DevOps bridged the gap between development and operations, and Platform Engineering improved developer productivity through standardized capabilities. Today, Artificial Intelligence is driving the…
Read More AI-DLC: Reimagining Software Delivery for the AI era
The Hidden Problem with AI Coding Assistants AI coding assistants have become remarkably capable. Tools like Claude Code can navigate repositories, generate features, fix bugs, and even perform architectural refactoring. Yet one fundamental challenge remains: AI agents still spend a…
Read More Unlocking AI Coding Assistants: The Graphify Solution
From AI Coding Assistants to AI Engineering Teams The first wave of AI-powered software development focused on individual productivity. Tools like Claude Code, Cursor, and GitHub Copilot helped developers write code faster, generate tests, and automate repetitive tasks. However, enterprise…
The software industry is rapidly moving beyond AI-assisted coding toward AI-Augmented software delivery. Modern coding agents can already write code, execute tests, create pull requests, investigate incidents, review architectures, and collaborate with developers. However, as organizations attempt to operationalize these…
If you've ever onboarded a new developer to your codebase, you know the pain. Hours of context-setting, tribal knowledge transfers, and that inevitable moment when someone asks "wait, why did we do it this way?" Now imagine that instead of…
Read More Writing a Killer CLAUDE.md: How to Turn Your Repo into a Project Brain
In the rapidly evolving world of artificial intelligence, keeping up with the latest advancements is both exciting and challenging. One of the most noteworthy recent developments comes from Anthropic, a company at the forefront of AI research and development. Their…
Read More Anthropic Claude 3 vs. Claude 3.5: A Comprehensive Comparison
As businesses and applications continue to grow in complexity, the debate between serverless and containers for application deployment becomes more relevant. Each option brings its own set of benefits and challenges, and selecting the right one hinges on your specific…
The Saga pattern is a design pattern used to manage data consistency across microservices in distributed transaction scenarios. It is particularly useful in scenarios where multiple services need to collaborate to achieve a specific business goal, and each service has…
Read More Design Patterns: Saga Pattern in Distributed Systems
Prompt engineering is a crucial process in guiding generative artificial intelligence (AI) models to produce high-quality and relevant outputs. It involves crafting and refining input texts to ensure that the AI models understand the context and intent behind the queries.…
Read More Exploring Prompt Engineering Techniques for Generative AI Models
The world of artificial intelligence has witnessed a remarkable evolution, with each new breakthrough pushing the boundaries of what's possible. Today, we're thrilled to introduce the Claude 3 model family, a groundbreaking suite of AI models that set a new…
Read More Empowering AI Workflows with Claude 3 Model Family and Amazon Bedrock
