Operations | Monitoring | ITSM | DevOps | Cloud

Organizations in all verticals and sizes are deploying digital workspaces to offer secure, remote access to employees and partners – in many cases, across a wide area of networks. Citrix workspace technologies are the most popular form of digital workspaces. In this blog, we discuss what is Citrix monitoring, why it is important, and what tools you need to monitor Citrix infrastructures effectively to ensure optimal digital employee experience (DEX).

Today I’m back with another integration available for Grafana Cloud, our observability platform that gathers all your metrics, logs, and traces under a single roof with Grafana. I’m going to highlight how you can use Grafana with Gitea, an open source forge software package for hosting software development version control. It uses Git as well as other collaborative features like bug tracking, wikis, and code review. It is a great choice for those who manage Git repositories.

InfluxDB is increasingly being used in IoT solutions to store data from connected devices. Now it can also be used on IoT edge gateways as a data historian to analyze, visualize and eventually transmit aggregated IoT data up to a centralized server. In this article we’re going to look at three simple ways you can connect an instance of InfluxDB on your IoT Edge device to another instance of InfluxDB in the cloud.

This is a guest blogpost from Linuxfabrik At Linuxfabrik we have been developing a collection of currently 130+ plugins for Icinga, Nagios and other compatible monitoring systems for more than two years now. Each of these plugins is a specialized command line tool written in Python.

When it comes to application security testing, choosing the tool best suited for the job is critical. There are so many various tools on the market that determining which one is best for your needs may be difficult. In this article, we will discuss 10 of the best testing tools and outline the features you should look for when making your decision.

The concept of AIOps is simple: Infuse artificial intelligence(AI) into IT to make operations speedier and more efficient. In theory, AIOps at its best should lead to an autonomous IT environment in which functions can run themselves with little or no human intervention. In practicality, the path to this nirvana state is anything but straightforward and raises several questions. Where should you start? How do you measure the value? Is AI ready to scale across production environments?

Network downtime opens the gates to productivity loss and customer attrition and can affect business growth moderately or even severely. Usually, the reasons behind a network outage are the following: Errors in network endpoints: Things like a network bottleneck or a spike in temperature can interrupt a client’s network operations and then snowball into an outage. Operational slip-ups: According to research done by Uptime Institute, 70% of data center and service downtime is due to human error.