Dear Acronymically, I'll try to answer without using a single (new) acronym! First things first—"PRO" refers to our Pro plan, rather than being an acronym in and of itself. Honeycomb Pro is our cost-effective offering for professionals like you who are running a few production workloads! And we're hoping that folks will get even more benefit now that they have access to our SLO feature!
Adding automated testing to your CI/CD pipelines can help you ensure that you deploy changes safely. But as you continue to shift left, the number and complexity of tests are likely to increase, making them slower to run and harder to troubleshoot. Datadog CI Visibility can help you track the performance of your CI/CD pipelines and tests—and now you can also use Real User Monitoring (RUM) to monitor end-to-end (E2E) Cypress tests.
Big data is a funny phrase. It’s obvious that we produce a massive amount of data: 4.9 billion people use the internet for an average of seven hours per day. Hundreds of billions of sensors, located on everything from smartphones to satellites, stream data 24/7. You would think that big data software gives us the ability to discover all the insights in the world. At the very least, we should be able to pull data on demand. In reality, the process has been slow and limited.
Today, I’m happy to share that Grafana Labs has closed a $240 million Series D round of investment. This is a major milestone for us that goes well beyond the number of dollars. First, we are grateful to our internal team (affectionately called Grafanistas) and our community of users and customers. Without them, we would not have been given this opportunity.
Databases are great for data processing and storage. However, in many cases it is better or easier to work with data in files on a file system, some tools even cannot access the data in any other way. When a database (DB) is created in a database management system (DBMS) using a file system as its data storage, it of course uses files on the given file system to store the data.
