I recently gave a talk at GrafanaCon LA, which was heavily inspired by my blog post on check output metric extraction. During the talk, I dove into a popular monitoring use case with Sensu, InfluxDB, and Grafana — let’s call it the SIG stack . While I got to share some awesome features in Sensu that ultimately allow users to collect, store, and visualize their metrics, the conference was about Grafana, and folks wanted to see dashboards!

While trying to verify the claims made on a somewhat facile rundown of serverless security threats, I ran across Jeremy Daly’s excellent writeup of a single vulnerability type in serverless, itself inspired by a fantastic talk from Ory Segal on vulnerabilities in serverless apps. At first I wanted to describe how injection attacks can happen. But the fact is, the two resources I just shared serve as amazing documentation; Ory found examples of these vulnerabilities in active GitHub repos!

With the growing number of customers monitoring Azure in Datadog, we saw a great opportunity to help our users get faster visibility across their dynamic cloud environments. We’re happy to announce the release of new out-of-the-box dashboards for several Azure services.

At Sysdig we’ve recently undergone a pretty interesting shift in our core instrumentation technology, adapting our agent to take advantage of eBPF – a core part of the Linux kernel. Sysdig now supports eBPF as an alternative to our Sysdig kernel module-based architecture. Today we are excited to share more details about our integration and the inner workings of eBPF. To celebrate this exciting technology we’re publishing a series of articles entirely dedicated to eBPF.

Today we’ve announced that we’ve officially added eBPF instrumentation to extend container observability with Sysdig monitoring, security and forensics solutions. eBPF – extended Berkeley Packet Filter – is a Linux-native in-kernel virtual machine that enables secure, low-overhead tracing for application performance and event observability and analysis.

In a previous post, we introduced a new integration with Microsoft Azure that makes it easy to ship Azure logs and metrics into Logz.io using a ready-made deployment template. Once in Logz.io, this data can be analyzed using the advanced analytics tools Logz.io has to offer — you can query the data, create visualizations and dashboards, and create alerts to get notified when something out of the ordinary occurs.

Web browsers have revolutionized the way we use the internet. They’ve escalated employee productivity, but have also opened up organizations to a plethora of security loopholes. Browsers are the easiest point of entry for hackers to exploit a system because they contain vulnerable components like plug-ins and cookies.

A few days ago, ICANN issued a statement where they call upon everyone to implement DNSSEC across their DNS infrastructure.

The DevOps era has turned traditional monitoring on its head with diverse, ephemeral data streaming from containers, microservices, and serverless functions as well as directly from the applications these new technologies enable. With efforts to efficiently utilize every drop of network, storage and compute, modern applications have created new challenges that render legacy IT operations management (ITOM) tools ineffective.

Inherently, Kubernetes clusters are multi-user. As a result, organizations want to ensure that cross-communication is protected via role-based access control, logical isolation and network policies. A container orchestration system such as Kubernetes brings information technology operations and developers (DevOps) closer together, making it easier for teams to collaborate effectively and efficiently with each other.