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Latest Blogs

An Introduction to Ranger RMS

Cloudera Data Platform (CDP) supports access controls on tables and columns, as well as on files and directories via Apache Ranger since its first release. It is common to have different workloads using the same data – some require authorizations at the table level (Apache Hive queries) and others at the underlying files (Apache Spark jobs). Unfortunately, in such instances you would have to create and maintain separate Ranger policies for both Hive and HDFS, that correspond to each other.

ZeroLB in a Decentralized World

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.

Services Don't Have to Be Eight-9s Reliable

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.

Level Up Your Cloud-Native Debugging Experience

Debugging is hard. Cloud debugging is harder. Debugging Kubernetes and Serverless applications sometimes feels nearly impossible when: These classic remote debugging challenges have made the world of cloud debugging seem impossible at times and has given rise to the practice of Observability. The rise of the Observability trend in recent years has directed engineers towards one direction to solving these problems: print logs, print traces, throw exceptions.

Meet The Analyst - and Data Scientist - of the Future: Investec's Quaanitah Manique and Keotshepile Mosito

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.

Introducing the Kafka to Celonis Sink Connector

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.