Systems | Development | Analytics | API | Testing

Faster Testing: How Modern Teams Ship High-Quality Software Quickly

Software teams today are challenged to provide high quality releases at a much faster pace than ever before. As software development cycles become shorter, user expectations continue to increase and products become more complicated, testing becomes a bottleneck in the overall delivery process. Rather than reducing testing, the goal is to evolve testing to be faster, smarter, more automated and more dependable.

8 AI Testing Tools Used for Test Generation, Analysis, and Maintenance

I still remember when our CI/CD pipeline crashed at 3 AM because one tiny UI element moved two pixels and every automated test failed. That single night proved how fragile traditional testing and script-based automation really are. AI-powered testing tools changed everything for our team almost overnight. They brought AI test automation, self-healing tests, and intelligent test generation that actually adapted instead of breaking.

Top 10 GCC companies in INDIA

Global Capability Centers (GCCs) have evolved from cost-efficient offshore units into strategic engines of innovation, transformation, and enterprise resilience. Today, India sits at the center of this shift, hosting the world’s most advanced GCC ecosystems and enabling global enterprises to scale talent, technology, and operations at speed. India is home to 1,700+ GCCs, employing 1.9 million+ professionals, and contributing over USD 64.6 billion annually to the economy.

Panel Discussion - QA Leadership in the Age of AI: Talent, Strategy, and Choices | Testflix 2025

The rise of AI is transforming how software is developed and tested—but the hardest questions for QA leaders aren’t about tools. They’re about people, productivity, and long-term strategy. As organizations race to integrate AI, leaders must rethink how they hire, train, and guide teams while making tough decisions about whether to build custom solutions, buy off-the-shelf platforms, or take a more measured approach. This panel brings together leaders who are navigating these crossroads in real time.

Anticipatory customer experience: How realtime infrastructure transforms CX

We're entering a new era of anticipatory customer experience – one that's not just reactive, not just responsive, but truly predictive. In this new model, systems don't wait for friction to appear; they recognise signals early and step in before the user ever feels a slowdown or moment of uncertainty. The bar has shifted: customers now expect brands to predict their needs and act before friction even surfaces.

The evolution of realtime AI: The transport layer needed for stateful, steerable AI UX

When we launched Ably in 2016, we set out to solve a fundamental problem: delivering reliable, low-latency real-time experiences at scale. So we set out to build a globally distributed system that didn't force developers to choose between latency, integrity, and reliability – trade-offs that had defined the realtime infrastructure space for years.

What is GDPR Compliance? A Quick Guide to Data Privacy and Regulations for Non-Prod

The General Data Protection Regulation (GDPR) is at the core of Europe’s digital privacy legislation. Adopted by the European Parliament in April 2016 and put into effect in May 2018, GDPR is a set of rules designed to give European Union (EU) citizens more control over their data. GDPR-compliant businesses are required to protect the personal data and privacy of EU citizens.

Sauce Labs vs BrowserStack: The Best Testing Tool in 2026

BrowserStack and Sauce Labs are industry-leading, cloud-based web and mobile testing platforms for developers. Both platforms offer quality features to streamline and simplify testing across browsers and devices. If you’re choosing between BrowserStack and Sauce Labs, looking at the basic features won’t cut it. You need to dig deeper and identify where the two vendors differ.

Kubernetes Load Testing Made Easy with Speedscale

Everybody knows working with Kubernetes is really hard. It’s highly complicated. You have to know how to work with YAMLs, there’s lots of stuff to deal with. The classic developer experience with YAML. But what if you could get complete visibility into your Kubernetes workloads and run realistic load tests without touching a single YAML file or running kubectl commands?