Systems | Development | Analytics | API | Testing

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How can you make data complexity a thing of the past? How can your business shift from data chaos to data-driven innovation?

Automate a manual test once it’s passing and stable, especially if it must be re-run each release or in CI/CD to catch regressions.— Alex Martin, VP of Strategy at Katalon.

Stop guessing and debug smarter with Bugfender – trusted by the biggest global companies to startups worldwide. In this video, learn how to use the Payload Tab inside of Chrome DevTools to inspect POST requests. You'll learn how to open the developer tools and navigate to the network tab to view the payload data. This is a great chrome developer tools tutorial for those new to web development. Subscribe for more DevTools tips, debugging tutorials, and app development tricks.

As economic conditions have changed, engineering teams are learning to be more efficient with their infrastructure spending. So how do engineering and infra teams choose what Apple Silicon hardware is the best fit for their CI workloads and overall business? In this webinar, Ben Boral weighs the pros and cons of each machine type and explains how teams can choose the right one, while Adam Wareing of ABC discusses his team’s migration to the M2 Pro.

“There are so many things in the world we don’t control.” Pete Caputa shares how narrowing focus to what you can control—and building repeatable systems—leads to predictability and growth. Databox is Modern BI for teams that need answers now. It offers the best of business intelligence software, without the complicated setup, steep price, or long learning curve.

Join us for a Dynatrace + Kong webinar where you’ll discover a complete OpenTelemetry-based observability solution, demonstrated through an end-to-end Kubernetes deployment: In this session, we’ll explore how to: Combining deep observability with robust platform and system management, this webinar will also show how Dynatrace and Kong work together to help teams deploy, operate, and scale mission-critical applications with confidence.

Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data.

How do you scale faster without burning out your team or chasing shiny tactics that don’t move the needle? Databox CEO Pete Caputa unveils Predictable Scale — a new methodology for building strategy, focus, and repeatable systems so you can grow with confidence. In this interview, Pete shares his SPEARS framework (Strategize, Plan, Execute, Adjust, Repeat, Scale), how to use data to set smarter goals, and why radical transparency accelerates alignment and results.