Increasingly digital consumption of products and services, along with the shift to remote work and education, have significantly affected how software is developed and tested. According to Deloitte’s “2023 Quality Engineering Trends” report, “new technologies” is still the top factor driving testing spend.

As real-time experiences become integral to everyday life and data-driven technologies like GenAI drive the next wave of innovation, one thing is clear: real-time data is the key to enterprise growth. The Confluent OEM Program empowers MSPs, CSPs, and ISVs to quickly unlock new revenue streams by integrating the industry-leading data streaming platform into their customer offerings.

In today's fast-paced business world, the only constant is change, and nowhere is this more evident than in the realm of digital transformation. According to a report by Harvard Business Review, 84% of organizations believe that digital transformation has already disrupted their industry, highlighting the urgency for businesses to adapt or risk being left behind. With new advancements in digital practices like AI, automation, and cloud computing, keeping pace is essential for survival.

One of our recurring jobs at Tideways is to ensure that all of our instrumentation works with the new and upcoming PHP versions. For us, “working” doesn’t just mean that the results are correct, but that your PHP extension is fast, gathering insights for our customers with a minimal performance overhead.

There’s an interesting term in agriculture called the pesticide paradox. When a pesky insect infestation is threatening a farmer’s hard-earned harvest, he sprays the crop with pesticide, killing (most of) them in an instant. What a glorious win of man against nature! But there’s a catch: the tiny percentage of those insects which fortunately survive will develop a natural resistance to the pesticide.

We are humans, and humans sometimes make mistakes. We make hundreds of decisions on a daily basis, and sometimes those decisions are not entirely based on rationality, but on cognitive biases. Anyone, including testers, can be subjected to the trappings of cognitive biases. Those biases are the result of years of evolutionary adaptation, and they allow us to make quick judgements (we all want to survive). However, they usually aren't the best judgements.

In the business world, gaining the “unfair advantage” often seems like a strike of great luck and timing (think Zoom and the pandemic). But in reality, it’s often the result of deliberate strategies and actions (in Zoom’s case, delivering a superior user experience). One great strategy: getting the unfair advantage through a best-in-class technology ecosystem.

It’s Day 2 of our Launch Week, and we’re excited to unveil our new networking stack! If you're following us, you know that we're obsessed with performance: we want fast deployments and a speedy network once your apps are live. Long story short: while working on optimizing deployments speed, we hit limitations with our old stack, we decided to revamp everything and built a new networking stack for the platform.

Ingestion and transformation are the primary workloads of real data warehouses.

For historical reasons, we have been using dynamic collection creation. This means that each new event creates a new collection in the database. While this provides some benefits, such as managing permissions on the collection level, it also has many downsides. And because we wanted to future-proof Countly, we decided to make this step and change the model, which will potentially allow us to do more in the future.