Operations | Monitoring | ITSM | DevOps | Cloud

Website uptime is an important factor for businesses in various industries. This article explains the concept of website uptime, what it means, how it is calculated, and why businesses need to keep a high level of uptime.

When writing a custom check plugin for Icinga 2, there are situations where in addition to observing the current state of a system, taking the past into account as well can be helpful. A common case for this is when the data source provides counter values, i.e. values that increase over time and you are less interested in the current value but more in how it changes.

ITIL suggests these 5 stages as a basis for your ITSM processes. Let’s find out how it can be helpful for you.

Artificial intelligence (AI) is seemingly everywhere in today’s tech landscape. The hype cycle is in full flow, especially regarding the use of large language models (LLM) for generative AI like OpenAI ChatGPT, Google Gemini and Anthropic Claude. Indeed, many tech companies are determined to add LLM into products where it sometimes seems tacked on.

In the wide world of observability, you have many options for visualizing metrics collected by Amazon CloudWatch. And because of that, you’re often left making lots of decisions — about cost, configurations, flexibility, and more. At Grafana Labs, we stick to our “big tent” philosophy, which means we don’t force you into a decision or even tell you that you have to bring your CloudWatch metrics to Grafana Cloud.

At the most abstract level, a data pipeline is a series of steps for processing data, where the type of data being processed determines the types and order of the steps. In other words, a data pipeline is an algorithm, and standard data types can be processed in a standard way, just as solving an algebra problem follows a standard order of operations.