The situation is all too familiar: You get an alert. You look at your metrics and your dashboards to try and find out what the cause might be and when the incident actually started (instead of when the alert happened). Then you have to go somewhere else to look at logs because eventually you need more data.

As Stephen Marsland once said, “if data had mass, the earth would be a black hole.” A vast part of the immense amount of structured and unstructured data that we call “Big Data” is nothing but machine-originated log data. Logs are generated for a lot of different purposes – from security to debugging and troubleshooting. They constitute a gold mine of useful information and actionable insights if properly stored, managed, and analyzed.

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.

The European Union’s General Data Protection Regulation (GDPR) came into effect on May 25, 2018. Hailed as the most significant change in data privacy regulations in two decades, GDPR was the result of years of intense activity and discussions among legislators, consumer groups, the legal community, and data privacy specialists.

April was one of our busiest and exciting month of events so far. Here’s a recap of where we were, what we saw and where you can catch us next. While writing this, we are on the road at both DockerCon and Open Infrastructure Summit so if you are there, don’t hesitate to find our pink shirts to meet us and get a demo!

How many recipes do you have in your cookbook? This isn’t off topic, for today I’ll be exploring the ins and outs of Chef logging to help you maintain the state of your kitchen. (Last of the bad puns.) For those unfamiliar, Chef is a configuration management and platform automation tool that sits in the same space as Puppet (which we wrote about previously).

I spoke at Container World 2019 in Santa Clara and shared insights on what LogDNA has learned in scaling Elastic Search using Kubernetes over the years. Here are some highlights from the talk and you can also find the slide deck below.