Today we are releasing Graylog v2.4.5 to fix a few bugs. We have also fixed an Elasticsearch credentials issue found by Defence Logic Limited - thanks for finding this and responsibly disclosing it.

The day has finally arrived; GDPR is officially in effect! These new policies are meant to provide more transparency about the data companies collect on users, and how that data is used. I for one am just excited that the onslaught of "We’ve updated our privacy policy" emails arriving in my pummeled inbox is nearing its end.

Whenever you run a Honeycomb query, you’re directed to the permalink for the results. Returning to this URL always supplies the same data without re-running the query, which is important when sharing links to make sure that everybody is looking at the same thing. However, there may be cases where you want a link not to a specific set of results, but to a set of query parameters which are re-run automatically. Further, you may want to generate these links without relying on the Honeycomb UI.

Let me preface this article with a quick customer story. I was recently talking with the director of operations of a G2000 company and he asked in a nice, but pointed way: “All I want is a SaaS software solution to manage my applications. Why does the architecture of the software matter?”. At Sumo Logic, we couldn’t agree and disagree more.

When we announced support for ingesting AWS Elastic Load Balancer access logs to Honeycomb, one of the first follow-up requests was for us to add support for AWS Application Load Balancer as well (which, alongside the Network Load Balancer, represents ELBv2). Given the list of features that ALB supports, it’s not difficult to see why. Who doesn’t want microservice-friendly path routing, native HTTP/2 support, tight integration with Amazon’s container-related services, and more?

While Logz.io provides Kibana — the ELK Stack’s visualization tool — as part of its service, a lot of users have asked us to support Grafana. One of the leading open source visualization tools today, Grafana has some added value when compared to Kibana, especially around visualizing time-series data.

We’ve all been there — you’re on-call, fast asleep at 3 AM when suddenly, in comes the alerts–in overdrive. Your system is notifying you of some sort of abnormal behavior, but with all the alerts and data coming through, its difficult to figure out what your system is trying to tell you. Is there potential malicious behavior? Did someone write faulty code? Is it an important issue or can it wait? Is it nothing at all?

In addition to our weekly roundup of Grafana-related articles and upcoming events, we’re pleased to announce Grafana v5.1.3 has been released!

Logs contain some of the most valuable data available to developers, DevOps practitioners, Site Reliability Engineers (SREs) and security teams, particularly when troubleshooting an incident. It’s not always easy to extract and use, though. One common challenge is that many log entries are blobs of unstructured text, making it difficult to extract the relevant information when you need it.