Open source code is a must

So that it can be use to create reliable and durable solutions and recommend them to others. Another key factor is Vectors efficiency. If a tool is lightweight but cannot handle significant amounts of data it is not suitable for us. Likewise if a tool is fast but consumes a lot of resources it is also not suitable for us. That is efficiency is extremely important. Its worth noting that Vectors ability to collect other types of data is not particularly important to us right now were only intereste in logs. One of the cool things about Vector is its multivendor support.

Pod metadata such as name

Vector belongs to the monitoring platform for cloud applications Datadog while it integrates perfectly with solutions from other vendors including Splunk Grafana Cloud and Elasticsearch Cloud. This flexibility allows you to use one software solution with many New Zealand WhatsApp Number List vendors at once. We also all know that if you nee to spee up an application written in Go you should rewrite it in Rust. But Vector is one step ahead its already written in Rust and runs fast. In addition the developers carefully monitor Vectors performance. How is this achieve.

This process can be customize

The CI system runs benchmark tests for all PRs in Vector. The developers carefully analyze the impact of new features on Vectors performance. If negative effects occur they immeiately ask PR writers to fix the problems as spee remains a key priority for the Vector team. Finally Vector is Azerbaijan Phone Number List a flexible building block more on that below. Architecture Vector As a processing tool Vector collects data from various sources. It either makes requests to other systems itself or acts as an HTTP server that accumulates data receive from other tools.

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