Operations | Monitoring | ITSM | DevOps | Cloud

Observability in serverless computing environments, such as AWS Lambda, has always been a challenge.

In 2021, we partnered with AWS to develop the Datadog Lambda extension which provides a simple, cost-effective way for teams to collect traces, logs, custom metrics, and enhanced metrics from Lambda functions and submit them to Datadog.

If you’re an engineer trying to fix real problems with your apps, looking at just one small part of the picture isn’t going to cut it. This is why Kentik is so focused on helping you understand what’s going on beyond single k8s instances, and it’s a big part of what network observability is all about. This was Kentik’s message at Kubecon 2022, which was a memorable event for us.

A lot of organizations are using Grafana to visualize information and get notified about events happening within their infrastructure or data. In this article, we will show how to create and configure Grafana Alert rules. To get started, log in to the MetricFire free trial, where you can send metrics and make Grafana dashboards right on our platform.

The market for enterprise observability solutions is growing in 2022, as organizations search for more effective ways to maintain security and oversight of increasingly complex and distributed IT systems. Traditional observability solutions like Splunk, Datadog and New Relic are still widely used by enterprises to analyze logs, metrics, and traces from their IT environments. But as enterprises generate increasing volumes of log data, two things tend to happen.

Using Sumo Logic, you can analyze both metrics and logs simultaneously. Developed in 2010, this solution provides a powerful query language and scheduling support. Sumo Logic's production monitoring features provide visibility into production issues. Instead of manually writing alerts, the platform offers pre-configured alert templates (which Logit.io also offers), which makes setting up alerts easier and faster.

According to one survey, 94% agree that AIOps is “important or very important” to manage network and cloud applications performance. AIOps intends to help customers contextualize humongous data volumes and streamline IT operations with automation. As IT infrastructure grows in complexity, alerts flood IT Ops centers and Ops teams drown in managing the deluge.

In this post, I want to scratch at the surface of a very interesting technology that Elastic’s Universal Profiler and Security solution both use called eBPF and explain why it is a critically important technology for modern observability. I’ll talk a little bit about how it works and how it can be used to create powerful monitoring solutions — and dream up ways eBPF could be used in the future for observability use cases.