Metrics Explore is the Logz.io feature for deep dives into Prometheus metrics. Similar to Kibana Discover, it allows for easy querying, pull-down list selections, and other ways to navigate your data. Best yet, you can explore important metadata for detailed metric analysis. There are a few ways to move around the metrics in your system. Get started by finding the Explore icon on the left-hand menu.

Why do organizations invest in observability? Because it adds value. Sometimes we forget this when we’re building our observability solutions. We get so excited about what we’re tracking that we can lose sight of why we’re tracking it. Technical metrics reveal how systems react to change. What they don’t give is a picture of how change impacts the broader business goals. The importance of qualitative data in business observability is often overlooked.

Marketing and Site Reliability teams rarely meet in most organizations. It’s especially rare outside the context of product marketing sessions or content creation. With observability now pivotal to success, we should be looking to bring the two together for technical and commercial gains. In this piece, we’re going to explore the meaning of observability and its relevance to marketing metrics.

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically.

When you are configuring your event log monitor settings, you need to decide which event log events you need to worry about. Event logs are generated for a wide array of processes, applications, and events. Logs will record both successes and failures. As such, you need to decide what data is most vital and needs your immediate attention.

For logs and tracking insider threats, you need to start with the relevant data. In these turbulent times, IT teams leverage centralized log management solutions for making decisions. As the challenges change, the way you’re monitoring logs for insider threats needs to change too. Furloughs, workforce reductions, and business practice changes as part of the COVID stay-at-home mandates impacted IT teams.

Software companies are in a constant pursuit to optimize their delivery flow and increase release velocity. But as they get better at CI/CD in the spirit of “move fast and break things,” they are also being forced to have a very sobering conversation about “how do we fix all those things we’ve been breaking so fast?” As a result, today’s cloud-native world is fraught with production errors, and in dire need of observability.

Logz.io is focused on creating the best observability service to manage the scale of monitoring, add value on top of AI/ML technologies, and enhance enterprise security. Metrics is one of the pillars of Logz.io, and our Prometheus-as-a-Service offering. It has been a crucial part of our platform goals, but if we turn the clocks back a year, our service only used the open-source Elasticsearch database (ES).

We are pleased to announce the general availability (GA) of Elastic 7.12. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana.