When we introduced Avantra Enterprise edition in 2021, we envisioned a world where we could interconnect enterprise observability, sophisticated workflows, and our advanced automation engine. By combining these three capabilities, we believed we could create a self-healing SAP environment which could identify problems and needs, route them to the right approver or expert, and automate problem resolution as well as complex project runbooks.
Oh Dear offers many checks to ensure your website is healthy. The most popular check that is active for almost every site we monitor is the uptime check. When the uptime check detects that your site is down, it will notify you via one of our many available channels. The check will also create a downtime period visible on the uptime check results page. Here's what those downtimes might look like.
How to filter metrics by labels using OpenTelemetry Collector.
InfluxDB Cloud 3.0 is a versatile time series database built on top of the Apache ecosystem. You can query InfluxDB Cloud with the Apache Arrow Flight SQL interface, which provides SQL support for working with time series data. In this tutorial, we will walk through the process of querying InfluxDB Cloud with Flight SQL, using Java. The Java Flight SQL Client is part of Apache Arrow Flight, a framework for building high-performance data services.
To understand the reliability of the popular learning management systems (LMS), we analyzed incident and outage reports from the official status pages for Seesaw, Blackboard, Canvas by Instructure, PowerSchool, Nearpod, and Google Classroom over a one-year period.
XDP, or eXpress Data Path, is a Linux networking feature that enables you to create high-performance packet-processing programs that run in the kernel. Introduced in Linux 4.8 and built on extended Berkeley Packet Filter (eBPF), XDP provides a mechanism to process network packets earlier and faster than is possible through the kernel’s native network stack. In this post, we’ll discuss.
There’s no doubt that the majority of businesses and organizations would struggle to survive without endpoints. Because endpoints directly contribute to a business’s production and success, ensuring that these devices function at peak performance is a top priority for IT teams and MSPs. However, the number of endpoints an organization uses is skyrocketing, and now the average enterprise has approximately 135,000 endpoint devices in use.
Whoever owns Reliability should define its parameters. But who owns the Reliability of a Product? Engineering? Product Management? Or the Customer success team?
