All Posts

Creating microservices within the constraints of multi-tenancy, privacy and compliance can present challenges that need to be thought through. In this blog we will discuss some of these challenges especially around resource contention, data isolation, data governance and compliance, focussing on potential thought frameworks to consider.

Attempting to fit every component of a monolithic architecture into a microservice is like trying to fit a square peg into a round hole. Not everything belongs, and forcing it only distorts the integrity of both the structure and the function. In this blog we will provide a framework to identify which functionalities or modules are ripe for migration to a microservice and which are not.

This blog post will take you through the process of building a recommendation system and the concept of embeddings, vector databases and various use cases. These concepts are not only limited to recommendation systems but are widely used in various domains such as image recognition, natural language processing, semantic search, and anomaly detection. The ability to represent complex, high-dimensional data in a dense, lower-dimensional space is a fundamental technique in machine learning.

Message brokers play a crucial role in addressing the challenges of distributed architectures and microservices by providing a reliable, flexible, and scalable means of communication between services. In this blog we will explore the role of message brokers, take a deep dive into some mechanisms used by message brokers to address common challenges in distributed systems.

While the database-per-service paradigm in microservices fosters many advantages like isolation, agility, scalability and resilience, it also poses a significant challenge in managing transactions that span across multiple services. In this article, we discuss this and common patterns to address this challenge.