Observability is a crucial aspect of any modern business. It allows you to monitor and analyse your systems to ensure they're performing optimally, while also providing deep insights into how they work and how they can be improved.

In most enterprises today, big, and small, it is not uncommon to have a tech stack comprising 50 or more different technologies across their applications and infrastructure, and this number is likely to increase as companies embrace microservices, multi/hybrid clouds, and containerization.

Today, organizations are transitioning from monolithic architecture to microservice architecture.

Containerization has become a popular buzzword in the world of software development and deployment. At its simplest, containerization is a process that enables software developers to package their applications and dependencies into lightweight, portable containers.

Observability and monitoring are two terms that are often used interchangeably but are not same in literal sense. While both practices involve gathering data and analysing it to gain insights into how a system is performing, they differ in their goals and approaches...

Observability is a critical aspect of any modern software development and operation. It helps teams identify and troubleshoot issues quickly, improve application performance, and ensure their systems are reliable. However, observability can also be expensive,

Serverless computing is fast and modern approach to building and deploying applications without worrying about servers or storage or networking.

As organizations move towards more complex and distributed systems, ensuring that the infrastructure is resilient has become necessary.

Security is one of the most crucial components for any organization to invest in today. With exponentially growing data volumes, quick shift to cloud, and organizations exploring and adopting new platforms and applications, security has become a developer problem.

Automation of business processes has radically changed the application landscape. Traditionally, applications used to carry out a basic business procedure and store in a database the ....

This blog is the third part in the three part tracing series that illustrates how to use SnappyFlow to analyze application performance

This blog explains CPU and Memory Profiling concepts and explains how this can be used to troubleshoot JAVA applications

In this second section of the three part blog series, we consider a sample JAVA application that consists of two programs, a provision-manager and a provision-worker. We will use SnappyFlow's sfTrace agent to analyze the performance of this sample application. sfTrace can auto-instrument JAVA, python and nodeJS applications.

This is the first part in the 3 part series that touches upon the basics of tracing, how you can use tracing data to troubleshoot and setting up tracing functionality in SnappyFlow

SnappyFlow’s SaaS solution provides comprehensive log archival functionality that leverages S3 compatible object store.

Intelligent and configurable Trace history retention with SnappyFLow.Tracing is an indispensable tool for application performance management (APM) providing insights into how a certain