Systems | Development | Analytics | API | Testing

Testing is hitting its limits in speed, scale, and insight. AI-augmented and agentic systems can help but only if we adopt them intentionally. This blog series lays out a Crawl–Walk–Run maturity path for adopting agentic testing capabilities safely and strategically. We’ll show you how to move from assistive agents to coordinated systems without losing control or trust.

Vietnam is one of Asia's most significant high-growth markets for open banking adoption. With a young, tech-savvy population, rapid digital adoption, and a vibrant fintech ecosystem, the country is uniquely positioned to leapfrog traditional banking models. Vietnam's financial sector is ripe for mobile-first innovation. The country has roughly 49 financial institutions and an internet penetration rate approaching 80% supported by a youthful, digitally proficient population.

Modern enterprises are embracing multi-cloud strategies to avoid vendor lock-in, optimize costs, and ensure resilience. Yet managing API infrastructure (which also happens to be AI infrastructure) across multiple cloud providers while maintaining performance and simplicity remains a significant challenge.

IT Professionals Day is our opportunity to celebrate the people who keep the digital world running - the ones who make sure data is secure, reliable, and ready to power innovation. At Qlik, we know IT professionals aren’t just solving problems, they’re enabling possibilities.

A few months ago, at Qlik Connect, we announced the launch of Qlik Open Lakehouse, a new, fully managed capability that brings together the best of the Upsolver platform together with Qlik Talend Cloud. And today, we are excited to announce the general availability of Qlik Open Lakehouse within Qlik Talend Cloud that makes it easy and cost-effective for organizations to ingest, optimize, and manage massive amounts of data directly in Apache Iceberg–based lakehouses.

Being effective is not just about output. It describes how a team works together to deliver results that actually matter. At Databox, we define effective teams as ones that are clear on expectations, aligned on goals, and confident in how their work connects to the bigger picture. Sounds good in theory, right? But how do we actually achieve it?

Every QA engineer has felt the crunch: tighter deadlines, growing complexity, and the same old expectation that everything must work perfectly by release day. It’s not an easy balance. That’s why AI in software testing has become such a hot topic. It promises faster test case generation, smarter insights, and support with tasks that usually eat up hours of time. But let’s be clear: AI isn’t here to replace testers.

Hey there, Google Cloud customers! We've got some exciting news to share with you. You can now purchase Bitrise through Google Cloud Marketplace as a private offering. That's right: the lightning-fast mobile CI/CD infrastructure and powerful automated workflows you love from Bitrise, now with all the convenience of procurement and consolidated billing through Google.

Building APIs for SQL and NoSQL databases used to mean weeks of coding, testing, and securing endpoints. In 2025, that’s no longer the case. With no-code REST API builders, you can expose databases like Postgres, MySQL, SQL Server, Snowflake, MongoDB, and DynamoDB in minutes — complete with authentication, documentation, and scaling features.

Assume that your enterprise just rolled out a major product update after weeks of development and testing. But within hours of launch, customers are already experiencing problems: checkouts are failing in Safari, logins break in Firefox, and the Android app crashes. What was supposed to be a significant milestone release becomes an expensive fire drill, resulting in loss of revenue and customer trust. This is the harsh reality for many enterprises in 2025.