I just finished renovating the Rookout Breakpoint Editor area. It's the place within the Rookout app that lets you set a breakpoint condition, hit limit, time limit, variable collection depth, and other settings.

Guest post by Mark Ferman, Sr. Oil & Gas Analytics Advisor Oil and Gas companies operate within one of the most demanding business environments on the planet with an array of complex challenges that regularly test their ability to innovate, plan, and execute strategic objectives.

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 NoSQL, component integration, and object store support capabilities of OpDB.

What’s the difference between KPIs and OKRs? How can you leverage both to improve performance? 30+ professionals share their experiences.

In modern development practices like Agile and DevOps, testers work in compressed test execution cycles, and automate regression tests to reduce time, efforts and costs involved in testing. But even so, testing doesn’t advance at the same speed as development. The most common form of test automation is N-1 Sprint automation in which QA teams test one sprint behind development.

Whoever first said that "the fastest code is no code" must have really liked memoization. After all, memoization speeds up your application by running less code. In this article, Jonathan Miles introduces us to memoization. We'll learn when to use it, how to implement it in Ruby, and how to avoid common pitfalls. Buckle up!

We’re excited to announce the second episode of our podcast, Mobile DevOps is a thing! This episode focuses on different aspects of remote work, Mobile DevOps, and how to remain productive from home, featuring special guest: Joe Birch.

Here at Lenses.io, we’re focused on making data technologies such as Apache Kafka and Kubernetes as accessible to every organization as possible. It’s part of our DataOps vision and company DNA. Lenses is built by developers, for developers. We understand the headaches they live with and the challenges they face seemingly have to learn a new data technology every few months. We believe that’s just not the right model.

Editor’s note: Today we’re hearing from some of the team members involved in building BigQuery over the past decade, and even before. Our thanks go to Jeremy Condit, Dan Delorey, Sudhir Hasbe, Felipe Hoffa, Chad Jennings, Jing Jing Long, Mosha Pasumansky, Tino Tereshko, and William Vambenepe, and Alicia Williams. This month, Google’s cloud data warehouse BigQuery turns 10.

At Stackify, we’re all about helping you improve your application’s performance. We have actually developed two code profilers ourselves. Because of that, we like to think we know a thing or two about code profiling. Today I want to talk about the three different types of code profilers, describe the differences between them, and recommend some tools for your toolbox.