The observability and cybersecurity sector is chock full of providers from startups like StateStack and Coralogix to established organizations like Datadog, Sumo Logic and Splunk, offering solutions with capabilities of various depth and breadth that are solving the tough problems of application reliability and security.

Managing logs is a significant part of an SRE's daily grind. Scattered within heaps of log data are invaluable insights - those small bits of information that can unveil underlying issues and patterns critical for system monitoring and troubleshooting. However, in an era where the volume of logs is astronomical, how do you discern the relevant from the irrelevant? Sumo Logic's array of log analytics features comes to the rescue, wielding the might of artificial intelligence.

Let’s face it, when that alert goes off at 2:58am, abruptly shaking you out of a deep slumber because of a high-priority issue hitting the application, you’re not 100% “on”. You need to shake the fog out of your head to focus on the urgent task of fixing the problem. This is where having the best log analytics tool can take on some of that cognitive load. Sumo Logic recently released new features specific to our Log Search queries that automatically detect log levels.

When you need to troubleshoot faster, rich out-of-the-box content lets you easily monitor the tools in your technology stack. Dashboards are key to our customers’ success — offering you deep insights at a glance and the ability to drill into the details most important to you. A couple years ago, we debuted a new style of dashboards, built on top of a scalable, flexible and extensible charting system.

Observability gets more challenging yearly in the rapidly evolving world of distributed computing and cloud-native applications. Organizations today are tasked with ensuring that their critical business applications, revenue-generating applications, and supporting infrastructure operate with reliability and security. The stakes are high; any lapse can lead to user churn, revenue loss, and decreased productivity.

Kubernetes is an orchestration platform that allows containers to be deployed in an automated and resilient way, abstracting many of the manual steps of rolling upgrades and scaling. You will usually want to deploy database applications (like PostgreSQL) as well, so that your applications can leverage their features within the cluster. Deploying in a Kubernetes cluster lets you build out your cloud-native PostgreSQL instance.

We’ve known for years that context switching is detrimental to productivity. Both computers and humans become less productive with each additional concurrent task or priority. Every time you need to shift your focus between projects, you lose approximately 20% efficiency as you figure out where you left off, what needs to be done, how the work fits into the project, etc.

One of my favorite movies of all time is WarGames, which depicted a teenage hacker accidentally breaking into NORAD and starting a nuclear war simulation that almost turned into a real catastrophe. The movie featured state-of-the-art dashboards (at least for 1983) showing simulated missile launches by different countries. Now you can create Sumo Logic dashboards like the ones shown in this movie using our new Connection Map panel.

MySQL, a leading open source database for the past few decades, underpins potentially millions of applications, from tiny prototypes to internet-scale e-commerce solutions. The beauty of MySQL is not only its powerful relational database capabilities but also that it can be scaled up as the application grows. Why should you care about MySQL performance? Because MySQL is the backbone of many applications, your application performance will be inherently tied to your MySQL database performance.

Nothing is certain in this world except for death, taxes, and that you will eventually run out of disk space. You may have used our unique predict operator to query logs and forecast future values (we’ve even heard of customers predicting their ingest volume for Sumo Logic log data to better forecast their usage and budget!) — and wanted to do the same with metrics. With the recent general availability of the predict for metrics operator, you can.