Loggly Blog

Monitoring Ansible Plays in Four Simple Steps

Today, it is not unusual for DevOps teams to have very complex software infrastructure involved in daily operations tasks: deployment scripts, sanity checks, multi-environment configurations, and a long list of other things. Continuous integration (CI) and continuous deployment (CD) come with a lot of benefits and an exponential increase in the number of moving parts. […]

Introducing Support for Percentiles and Other Statistics

Loggly now provides four newly supported advanced views of timeline trends to give you more detailed insight when you’re looking at numerical data. In Loggly Dynamic Field Explorer™ and the timeline trend view, you can now see variance, standard deviation, sum of squares, and percentile statistics. For example, the image below shows a plot of the […]

Introducing New Derived Fields Capability

At Loggly, we listen closely to what our users have to say. One of our most requested features for derived fields is the ability to create new custom parsed fields from other parsed fields, or data that was already automatically parsed. We’re excited to share that you can now extract data from your JSON fields, […]

Announcing Local Timezone Support

We’re excited to announce a few changes happening to Loggly midday today that will help simplify the logging process. The first is that we’ve added local timezone support. Say goodbye to converting timezones in your head! Log events will now display in your local timezone, making it easier to read events, trends, and dashboards. Even […]

Optimizing Tableau Performance with Loggly

If you use Tableau to query a database directly, this blog post will help you quickly find queries with high latency, so that you can figure out if you need to add indices in your database schema. When connected directly to a database, Tableau essentially does drag-and-drop query-building using graphics. Internally, that query is being […]

Remove Dashboard Blind Spots with Dynamic Field Explorer

Operating a Complex Web Application Requires a Bird’s-Eye View of Logs When you’re running a cloud-based service in production, there’s a lot that can go wrong – and likewise, a lot to keep your eyes on. Most developers and operations professionals understand that summaries of “what’s going on” are more valuable than trying to make […]

Logging for Cloud-Native Apps

When it comes to building and running applications that are native to the cloud, a number of old habits must die and make way for modern alternatives. One of these is traditional file-based logging. The days of using tail -f to watch logs scroll by in five different terminals are over. This becomes even clearer as you […]