Systems | Development | Analytics | API | Testing

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The IT Leader's Guide to Evaluating Process Orchestration Tools

IT leaders who want to scale operations to meet future business needs face an epic challenge—improving operational efficiency while managing risk, ever-growing IT backlogs, and stakeholder expectations. That's where process orchestration comes into play. Process orchestration is not just about efficiency and scale. It's a transformative approach that revolutionizes how work gets done. By automating routine tasks, it frees up your workforce to focus on strategic initiatives.

From Performance Tests to Sanity Tests with JMeter

In this blog post we are going to look at how we can use our performance tests to act as Sanity Test. We have touched upon the subject in one of our blog posts on the hidden benefits or performance testing. This post will however look to provide more detail on the subject and provide guidance on how you can accomplish this. We are not suggesting that you write a set of JMeter tests to act as sanity tests for our application under test as that would not be that beneficial.

Test Automation in QA

Like many tech endeavors, QA has undergone radical evolution over the past decade, and to keep up with the competition, dev teams are looking toward the future of QA and test automation. Since machines can do low-skill testing, dev teams are looking for expertise and complex skill sets, which means that human testers’ day-to-day responsibilities are changing thanks to automation. In this article, we will discuss test automation, what it is, examples, types of test automation, and uses.

Introducing Keploy | Your automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations

Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".

Core Infrastructure Requirements for Today's Data Workloads

There's no doubt that, as a technology provider/integrator, you're likely seeing many customers across all segments looking to advanced analytics and artificial intelligence for optimizing their growth. Given the vast volume of data that these innovations consume or create, it's clear to see the importance of being able to offer your customers reliable, secure, sustainable and scalable data infrastructure solutions.

Why automated testing is the fastest and safest path to digital transformation

Companies are moving to the cloud faster than ever. Currently, organizations deploy an average of 130 SaaS apps per organization — and this number is growing. According to Gartner, 95% of new apps are expected to be built in the cloud by 2025.

GitTogether | GenAI & Open Source | Kunal Deo

The resurgence of Artificial Intelligence (AI) in recent years owes much to a pivotal moment: the publication of a groundbreaking paper by Google. This event underscores the significant role of Open Source in advancing AI technologies. In this presentation, we delve into how Open Source is not just influencing but also shaping the landscape of Generative AI (GenAI). However, our focus extends beyond the traditional dichotomy of Open Source versus proprietary technologies. Instead, we explore the complementary nature of both realms in fostering the development of the AI ecosystem.