Today, we are excited to share the first in a series of Employee Experience (EX) focused eBooks, helping you understand how Catchpoint can be used to ensure you get the best digital performance for your employees. In this eBook, we focus on five use cases, demonstrating through examples, how to best utilize digital experience monitoring for G Suite.

When SUSE, the world’s largest independent open source company, announced its acquisition of Rancher Labs in early July 2020, the industry took notice. Clearly, the Kubernetes management industry is very much alive. But, the merger also raised the question of what this means for users? After all, a key value proposition of cloud native technologies, like SUSE, is that they are modular, interoperable, and flexible.

Pandora FMS has become well known as a reliable, flexible advanced network monitoring solution. It allows businesses of all sizes to monitor and manage network and hardware issues in real time, and integrates all of the monitored terminals, servers, and other entities into a centralized system. These features mean that Pandora FMS has become the go-to choice for small businesses looking to deploy advanced network monitoring technologies for the first time.

With the increasing popularity of Python web frameworks supporting asynchronous I/O like FastAPI, Starlette, and soon in Django 3.1, there has been a growing demand for native async I/O support in the Python Elasticsearch client. Async I/O is exciting because your application can use system resources efficiently compared to a traditional multi-threaded application, which leads to better performance on I/O-heavy workloads, like when serving a web application.

This post is the third in our Kubernetes observability tutorial series, where we explore how you can monitor all aspects of your applications running in Kubernetes, including: We’ll discuss using Elastic Observability to perform application performance monitoring (APM) with the Elastic APM.

Customers regularly ask me what types of data sources they should be sending to their SIEMs to get the most value out of the solution. The driver for these conversations is often because the customers have been locked into a SIEM product where they have to pay more for consumption. More log data equals more money and, as a result, enterprises have to make a difficult choice around what log sources and data are what they guess is the most important.

15 July 2020: Canonical, the publisher of Ubuntu, today announces the launch of its enhanced Global System Integrator (GSI) Programme. Alongside new partnership benefits, it includes resell and integration opportunities for the entirety of Canonical’s secure, open source portfolio for the data centre, multi-cloud, edge and IoT.

Keeping a server running optimally on a consistent basis involves managing multiple system elements simultaneously. Automated scripts and specialized software can handle the tasks your server needs to complete on a daily basis—but when one of these experiences an error, it can throw the entire system off.

Solutions for challenging technical problems shouldn’t result in a whole set of new ones. Sometimes, we make things harder on ourselves by choosing the new hotness to tackle technical problems (such as scaling infrastructure). We may be solving our problem in an interesting and fun way, but we bring on more complexity (and more problems) as a result of that technology choice.

The way we work has fundamentally changed in recent months due to the impact of the global COVID-19 pandemic. As more employees are working remotely, organizations are looking at new ways to ensure their workers can stay productive and secure. We released Splunk Remote Work Insights (RWI) to help IT and security teams have insight into the systems that their employees rely upon while working remotely.