When teams collect data without full observability of what others on the team can see, it becomes clear that no one’s picture is truly accurate. In this picture, all of the people are wearing blindfolds and feeling around to see what is in front of them. One thinks this creature is a spear, another thinks it is a tree trunk, and another a rope. As long as they cannot observe what the others can, there is poor data fidelity.

DevOps is the modern convergence of people, processes and tools to create a continuous software delivery stream. Much like the code it produces, the concept of DevOps itself is continuously adapting to encompass new ideas, methods, and technologies. So what can we expect from the DevOps cultural shift in the future? The delivery stream of yesterday was a segmented process, often separating key teams and concepts into silos where people focused on their individual tasks.

Apache Airflow is an open-source orchestration platform that enables the development, scheduling and monitoring of tasks using directed acyclic graphs (DAGs). Here at Sumo, our team has been using this technology for several years to manage various jobs relating to our organization’s Global Intelligence, Global Confidence, and other data science initiatives. We self-host the tool through Kubernetes.

Almost everyone who’s used Amazon Web Services (AWS) has used Amazon simple storage service (S3). In the decade since it was first released, S3 storage has become essential to thousands of companies for file storage. While using S3 in simple ways is easy, at a larger scale it involves a lot of subtleties and potentially costly mistakes, especially when your data or team are scaling up. Here are the most important things about AWS S3 that will help you avoid costly mistakes.

From Sumo Logic’s inception over a decade ago, we made a strategic bet to go all in with Amazon Web Service (AWS). Today, many of our customers rely on Sumo Logic to gain unified visibility into their growing number of AWS services, cut troubleshooting time and unlock comprehensive root cause analysis for complete issue resolution.

There’s always a thrill to see something that you’ve dreamed of coming to life. And for us, open source docs is the realization of that dream. In simple terms, open source docs mean that the documentation is freely available for anyone to modify. This is a part of the modern documentation movement, being able to make changes to keep pace with modern development cycles.

If you work in IT or DevOps, unless you’ve been living on a remote island without Internet access, you’ve likely heard of Datadog, a popular platform for monitoring cloud applications. Datadog collects and interprets data from various IT resources. The resulting insights assist in managing performance and reliability challenges to deliver a better end-user experience.