Twitter as a social media channel has obviously taken the world by storm. Everything that happens and is trending around the globe takes place or is reported on Twitter. Additionally, most tech and cloud providers offer outage and support feeds through Twitter as a way of communicating problems and notifying customers. Example technology companies include Microsoft for Microsoft 365 Status, Azure and their products. Also Internet Service Providers like Comcast, CenturyLink and more.

Monitoring for your Node.js apps can be hard. The tricky part is understanding what you need to monitor, instrumenting your code, and then making sense of all the data that’s been emitted. (That’s almost every part you might say 😅 ). At AppSignal, we dogfood our product and understand the pain users feel ourselves. The key points we focus on are the ease of use, flexibility, and developer experience.

Due to rapid cloud adoption and with never-ending user requirements, the Azure architecture might become complex and you might eventually lose sight of the overall cloud estate and how it relates to each other. Since the Azure portal was designed in a technology vertical silo and it has near zero application visibility, it is not possible to monitor them as a business application in the Azure portal.

This tutorial focuses on how to write a promise module, implementing a new CFEngine promise type. It assumes you already know how to install promise modules and use custom promise types, as shown in the previous blog post.

As a concept, observability has been a relatively recent entrant into the world of information technology and cloud technology. The idea originated initially from controls system engineering. Observability refers to the concept of inferring the internal status of the system based on the outputs derived from the same. This is the conventional definition of observability.

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.”