Imagine being out on a Saturday morning, drinking coffee and catching some sun when a message on Slack from a colleague tells you about an incident on your Kafka infrastructure. Fortunately, you are able to identify the problem and correct it from where you are but wouldn't it be good to know about that Kafka broker going down at the time that this has happened? Is there a way to prevent that from happening again? Yes, there is: Lenses alerts.

People intuitively know that self-driving or autonomous cars present complex engineering challenges. Vehicle assembly is the easy part – we’ve been doing that for 100 years. The real challenge is a data challenge, acquiring and managing the data needed to run the vehicles’ brain, eyes, and ears. Autonomous driving technology complexity lies in the ability to ingest, store, analyze, and deploy large volumes of data & the high bandwidth needs of data-in-motion.

Over the years software tools, testing frameworks, and development practices have evolved to meet new challenges. This shift means testing is happening earlier in the software development lifecycle with developers increasingly taking on more responsibility for testing with a focus on speed. That’s why we’re excited to announce the expansion of our developer-first test capabilities.

A little more than a year ago today, aiming to address what we saw as a significant gap in the testing market, we first launched the Sauce Labs Continuous Testing Benchmark, a new report organizations could use to see how their continuous testing efforts stacked up against both critical best practices and the testing efforts of other enterprises.

Kafka Connect is a great framework for moving data in and out of Kafka. But doing so requires connections with some of your most important data crown jewels. Customer information held in MongoDB, audits in a S3 bucket, payroll information in an Oracle database. Connecting to these data stores requires authentication.

Today’s globalized organizations demand a new standard for communicating and sharing information. That includes data-rich content that moves through environments, networks, and locales. From being stored, analyzed, and shared, to quickly and effectively moving between environments, to spinning up in clusters and informing endless applications—data is more critical than ever.

This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. This blog post gives you an overview of the languages, frameworks, and applications supported by Cloudera’s OpDB.