This post introduces the Pandora FMS monitoring solution and how to integrate it with ilert to establish reliable alerting. The guest post is written by Sancho Lerena, the CEO of Pandora FMS.
It is time to sum up the product updates that we introduced during summer 2023. As always, our focus has been on minimizing limitations in the incident response process and accelerating the workflow from acknowledgment to resolution. We invite you to contribute to the ilert roadmap by submitting your feature and improvement ideas here.
This post will introduce Checkly, the synthetic monitoring solution, and their monitoring as code approach. This guest post was written by Hannes Lenke, the CEO, and co-founder of Checkly. First, thanks to Birol and the ilert team for the opportunity to introduce Checkly. ilert recently announced discontinuing its uptime monitoring feature and worked with us on an integration to ensure that existing customers could migrate seamlessly. So, what is monitoring as code and Checkly?
IT-Incident Management - a hot topic and more important than ever in the digital age. Companies are increasingly relying on technology to maintain their operations, as any downtime can have catastrophic consequences. On average, one minute of downtime costs $9,000. Therefore, an efficient and especially organization-specific incident management system is essential. However, there are many components and options in incident management, so what software stack should you use?
This post highlights some of the features and improvements that we have released in the last two months. If you want to submit your own ideas or vote on existing feature requests, you can now use our public roadmap at roadmap.ilert.com.
IT incidents are events which lead to a disruption or deviation from the regular operating standards of a computer system or network. They can be caused by various factors, including hardware or software failures, human error, or even deliberate external (cybersecurity) attacks. It begins with short delays, or services cutting out - for example, when a website or server is down, or access to data(bases) takes too long.
