Detect Application/infrastructure anomalies

Detect Application/ infrastructure anomalies

The detection of anomalous activities in the infrastructure or the components of the application stack is very critical. Through anomaly detection, we can focus on the identification of data points and situations that are not complementary to the desired pattern.

Automated anomaly detection is all about identifying unusual patterns in the series of data based on increasing scale and margin. Advances in Machine Learning, Artificial Intelligence, and Deep Learning offer powerful log analytic solutions that enable auto-detection of anomalies. Adoption of anomaly detection makes one’s way of life at work efficient, faster, and more productive.


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Site Reliability Engineering

Site Reliability Engineering deals with the operational efficiencies around availability and resiliency of an application or it’s infra. In any enterprise, it is evolved by a team of software engineers responsible for maintaining large-scale application environments and unites development and operations.

SRE deals with best practices like real-time monitoring of applications/services/ Infra and alerting to enhance productivity and development practices to automate and improve the system’s health and availability.

How it differs from DevOps

DevOps is more about streamlining development operations for building a robust product. Whereas, SRE is a practice of creating and maintaining a highly resilient service.

DevOps primarily focuses more on the automation, SREs focus on stability and scalability of a production environment, as well as observability.

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How Does Chaos Engineering Help with SLAs?

In today’s corporate environment, chaos engineering is the most incredible practice methodology that can change software engineering and qualitative delivery on a larger scale. It deals with the uncertainty of a distributed systems in a comprehensive manner, and provide a way to modulate them quickly.

Chaos Engineering defines a strategy to learn, how your systems behave with failures. The objective is to ensure applications/ infrastructure are resilient in production with early investigation.

Identify the root cause of any unusual behavioral breakdown in the system by injecting the failures.

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Taking Performance Testing to the Next Level!

Taking Performance Testing to the Next Level!

Performance testing is an essential activity while delivering critical software applications. Be it an e-commerce web application or a mobile app, identifying and determining the behavior of the traffic that is going to hit is the major concern. In view of past patterns and future outcomes, we need to understand, evaluate, and break down the level of activity that we need to perform to serve them without any deficiency. In addition, we should prepare to handle the situation gracefully if it reaches the peak load.

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How (not) to harm your applications in production environment?

How (not) to harm your applications in production environment?

This question always stalks application owners as all applications break during production with some known or unknown issues. This directly impacts customer experience as well as revenue.

However, it doesn’t have to be like this. And, can be avoided with proper performance testing to ensure there aren’t any known issues left un-fixed, followed by production monitoring to ensure the developers and engineers stay alerted for any unknown issues and are able to fix them proactively

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Do you know – A single generator can create more than 3 million virtual users for load testing?

In other words, Do you know – A single generator can free you up of operational nightmares (costs, other operational overheads) of managing multiple generators in your performance testing infrastructure.

Today, hundreds of thousands of users hit a website on a daily basis. During peak sales it crosses million/s. Expect your web application to slow down a bit if not becoming unresponsive.

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