azure cosmos db | The Blog Pros

September 17, 2020

Build Fault Tolerant Applications With Cassandra API for Azure Cosmos DB

Azure Cosmos DB is a resource governed system that allows you to execute a certain number of operations per second based on the provisioned throughput you have configured. If clients exceed that limit and consume more request units than what was provisioned, it leads to rate limiting of subsequent requests and exceptions being thrown — they are also referred to as 429 errors.

With the help of a practical example, I’ll demonstrate how to incorporate fault-tolerance in your Go applications by handling and retrying operations affected by these rate limiting errors. To help you follow along, the sample application code for this blog is available on GitHub — it uses the gocql driver for Apache Cassandra.

July 31, 2020

Serverless Data Processing Using Azure Tools

One of the previous blogs covered some of the concepts behind how Azure Event Hubs supports multiple protocols for data exchange. In this blog, we will see it in action using an example. With the help of a sample app, you will see how to combine real-time data ingestion component with a Serverless processing layer.

The sample application has the following components:

July 31, 2020

Connecting to Azure Cosmos DB MongoDB API

Azure Cosmos DB provides MongoDB API support which means that you can use a language-specific driver to natively connect to Cosmos DB.

There are lots of resources in the documentation e.g. a Java quickstart, Node.js + React tutorial etc.

July 30, 2020

Getting Started With MongoDB Using Go

As a Go enthusiast, it's great to see first class support for MongoDB in the form of an official MongoDB Go driver. We will learn how to use it by building a simple REST API for a good old CRUD-style app!

In this blog, will cover the following topics:

July 29, 2020

Data Pipeline Using MongoDB and Kafka Connect on Kubernetes

In Kafka Connect on Kubernetes, the easy way!, I had demonstrated Kafka Connect on Kubernetes using Strimzi along with the File source and sink connector. This blog will showcase how to build a simple data pipeline with MongoDB and Kafka with the MongoDB Kafka connectors, which will be deployed on Kubernetes with Strimzi.

I will be using the following Azure services:

August 22, 2019

How to Use Caching With Azure Cosmos DB

Cosmos DB is the new NoSQL database released in Azure Cloud by Microsoft. Unlike relational databases, Cosmos DB is scalable as it is a hosted database service, so it enjoys a lot of popularity among high transaction .NET and .NET Core applications.

However, using Cosmos DB, you need to be wary of performance bottlenecks and cost overhead for accessing the database as Microsoft charges you for each transaction to Cosmos DB. While Cosmos DB is scalable in terms of transaction capacity, it is not as fast because the database service is living in a separate VNet or subscription than the applications. So even if your applications are running in Azure cloud, accessing the database across the VNet is a huge blow to the performance.

July 10, 2019

Cosmos DB and Node SDK Part 1: Working With Databases

There have been so many things I've learned in the last few years and I wanted to share my learnings, but one thing or another kept me away. I am hoping that I will break this silence and post regularly going forward.

With my work on Cerebrata Cerulean, I got an opportunity to work a lot with Node.js and some amazing Azure services. In this series of posts, I am going to focus on using Azure Cosmos DB service with their Node SDK. We will cover working with various entities like databases, containers (collections), documents, etc. using Node SDK.