Systems | Development | Analytics | API | Testing

One of the things that’s quite interesting about service mesh is that it has not been a very well-defined category for a very long time. Service mesh is not a means to an end. By looking at its adoption, we’ve been seeing a refocus on the end use case that service mesh allows us to enable. Some are around observability while others are around security and trust – being able to provide that identity to all of our services.

In our first episode of Kongcast, I had the pleasure of speaking with Liz Fong-Jones, principal developer advocate at Honeycomb, about the concept of error budgets for service level objectives (SLOs) and how to accelerate software delivery with observability. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.

Learn from 20 marketing, sales and ad experts how attribution reports can help you understand your customer’s interactions with your company.

This blog is part of our ongoing "meet the analyst of the future" series, which profiles analysts who are transforming their organizations and supercharging their careers by embracing the future of analytics today.

Hello, Kong Nation 👋! Constructed from the combined efforts of the open source community and the core engineers at Kong, Inc., today we are very proud to release the Kong Gateway (OSS) version 2.6. Please read on for more release information.

Apache Kafka has grown from an obscure open-source project to a mass-adopted streaming technology, supporting all kinds of organizations and use cases. Many began their Apache Kafka journey to feed a data warehouse for analytics. Then moved to building event-driven applications, breaking down entire monoliths. Now, we move to the next chapter. Joining Celonis means we’re pleased to open up the possibility of real-time process mining and business execution with Kafka.

You may have previously heard about TeamViewer if you’ve ever needed to remotely access another device for the purposes of maintenance or general work activities.

For decades, ETL (extract, transform, load) has been a mainstay of organizations’ data integration workflows, moving information from various sources to a centralized data warehouse. More recently, however, businesses have been shaking things up with reverse ETL, which flips the sources and targets by sending data from your warehouse to third-party systems like Zendesk.

Organizations at the forefront of their field leverage speed and agility to maintain their competitive edge. The key factor driving this agility is collaboration, which can only be achieved by providing every department with access to the data they need to perform their jobs more efficiently. According to Gartner, digital optimization blurs the classic ownership and activity boundaries within and beyond IT.

Success for any business starts with data that is easily discoverable, understandable, and of value to the people who need it. We call this type of data “healthy data.” You should look at a wide set of measures and metrics to determine whether data is healthy or not, but at the core of all healthy data is a high level of quality.