Systems | Development | Analytics | API | Testing

How ThoughtSpot Uses ThoughtSpot for Field Marketing

As ThoughtSpot’s SVP of Corporate Marketing I oversee a field marketing team that acts as the glue between our Marketing and Field Sales teams. When people talk about field marketing, they’re often just thinking of events — but we have a far broader remit than that. Each member of the Field Marketing team sits within a specific sales region, acting as a kind of regional CMO.

Enabling Multi-Region for Kong Konnect Cloud

Since the initial launch of Kong Konnect Cloud, one common feature request has (unsurprisingly) been Multi-Region support. Many customers look for SaaS solutions that support a distributed service architecture. Even at its inception, our goal was to support more than a single region. Today, we’re happy to announce Multi-Region Support for Kong Konnect Cloud.

End-to-End API Monetization with Java Spring, Stripe, and Moesif

Many API developers and companies struggle to find ways to easily set up systems to monetize their APIs. Some are simple but not customizable, some are complex and require massive engineering effort to actually get it all running. To make things easier, Moesif created a feature a few months ago called Billing Meters which gives massive customizability but with a minimal amount of code and engineering effort.

API Load Testing Tutorial

API load testing, which identifies how stable your APIs are under different workloads, is a crucial part of performance testing. In this guide you will learn what is API load testing, when to perform load testing, and more. One growing pain of increasing iterative development and shortening release cycles is a growing inability to detect and fix inefficient code – whether in the CI/CD pipeline or in production.

Developing More Accurate and Complex Machine-Learning Models with Snowpark for Python

Sophos protects people online with a suite of cybersecurity products. Hear Konstantin Berlin, Head of Artificial Intelligence at Sophos, explain how the Snowflake Data Cloud helps Sophos increase the accuracy of their machine-learning models by allowing data scientists to process large and complex data sets independent of data engineers. Through Snowpark, data scientists can run Python scripts along with SQL without having to move data across environments, significantly increasing the pace of innovation.

3-Minute Recap: Unlocking the Value of Cloud Data and Analytics

DBTA recently hosted a roundtable webinar with four industry experts on “Unlocking the Value of Cloud Data and Analytics.” Moderated by Stephen Faig, Research Director, Unisphere Research and DBTA, the webinar featured presentations from Progress, Ahana, Reltio, and Unravel. You can see the full 1-hour webinar “Unlocking the Value of Cloud Data and Analytics” below. Here’s a quick recap of what each presentation covered.

Get Ready for the Next Generation of DataOps Observability

I was chatting with Sanjeev Mohan, Principal and Founder of SanjMo Consulting and former Research Vice President at Gartner, about how the emergence of DataOps is changing people’s idea of what “data observability” means. Not in any semantic sense or a definitional war of words, but in terms of what data teams need to stay on top of an increasingly complex modern data stack.