In this episode of Kongcast, Viktor speaks with Andrew Kew, Director at QuadCorps and Sr. Field Engineer at Kong, about the pillars of observability, distributed tracing on Kubernetes, and tools that can help you get the most out of distributed tracing.

Investment in Customer 360 is supposed to lead to truly transformative results, from marketing and sales efficiency to product innovation. Too often, the reality isn’t delivering on that promise. Despite significant and increasing spend on Customer 360 initiatives, 93% of consumers still receive irrelevant marketing communications. 66% of customers are unhappy with their experiences. The promise of customer 360 has failed because of unhealthy data — data that's inaccurate, hard to access, and difficult to transform.

Reach is the premier partner for online businesses that want to connect with consumers around the world, expand their business, and increase global sales. Using their unique Merchant of Record model, Reach helps retailers process global payment transactions wherever a retailer’s customer is based. Learn how Reach is able to consolidate various data tools and technologies into one with the Snowflake Data Cloud, while increasing their velocity of data acquisition with data sharing.

The world relies on your code. The digital experience is now the primary experience. More tools, more people, and more tests aren't going to cut it. You don't need to sacrifice quality and speed.

Helix DAM is digital asset management by Perforce — makers of the industry standard version control system for game development, Helix Core. Helix DAM empowers teams to streamline creative workflows. It allows them to find, track, and review art assets — including 2D, 3D, audio, and video files — all in one place. It’s art & game asset management for creatives, built with the speed and security of Perforce Helix Core.

Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.