Load balancing is an element of most popular web applications. The reason for this is simple: Load balancers maintain application scalability and sustainability. It’s nearly impossible to imagine a modern application handling continuous traffic or periodic traffic spikes while relying only on a single running server’s capacity. As a result, load balancers have become a critical part of software development.
LogQL, the Loki query language, is heavily inspired by Prometheus PromQL. However, when it comes to filtering logs and finding the needle in the haystack, the query language is very specific to Loki. In this article we’ll give you all the tips to create fast filter queries that can filter terabytes of data in seconds. In Loki there are three types of filters that you can use.
Most organizations know that they need monitoring to ensure site uptime and keep their business running. Yet, many sites still suffer from outages first reported by their customers due to small mistakes made with their monitoring systems. Monitoring mistakes are easy to make and easy to overlook, but the consequences can be detrimental. Here are some of the most common monitoring mistakes and how to address them.
We recently underwent a System and Organization Controls SOC 2 Type 1 examination resulting in a CPA’s report stating that Mattermost has developed effective controls over the security, availability, and confidentiality of the Mattermost Cloud platform.
One of the areas highlighted in end-user reviews from Catchpoint’s Gartner Peer Insights Customers’ Choice Distinction was the depth and breadth of visibility our global node network provides. “Any time we have had a question about an element of our environment we have been able to create a Catchpoint test to measure it. The data collected by Catchpoint tests is in-depth and very useful for understanding product behavior and performance.”
