The term ‘big data’ is used so commonly in research and marketing terms, you would think it’s been here forever. But actually, big data evolved from database marketing (read first efforts of targeted direct mail) in the mid to late 1980’s. This was the first attempt of marketing agencies and large corporations to begin segmenting their customer databases to create different offers based on the demographics or psychographics of their customers.
In our quest to provide the leading network observability solution, Kentik has been focused on developing a service for NetOps teams that empowers them to have intimate knowledge of their network traffic and the devices that route traffic. Our service helps them plan capacity, project costs, optimize routes, detect unwanted traffic, troubleshoot issues and analyze events.
Today we launch the next level of AppSignal front-end error tracking. We’ve made two major improvements: line-of-code-based error grouping and sourcemapped backtraces in notifications.
At Catchpoint, my role can be summarized at a high level as two halves: designing and taking care of Engineering teams – and working with those teams to design and take care of the various distributed systems that run our platform. I recently attended Sapphire Ventures' Hypergrowth Engineering Summit (thank you David Carter and Sapphire for the invitation!) where the sessions focused on creating and scaling high functioning engineering.
In this guide, we’ll set up an OpenTelemetry Collector that collects logs and sends them to Grafana Loki running in Grafana Cloud. We will consider two examples for sending logs to Loki via OpenTelemetry Collector. The first one shows how to collect container logs with a Fluent Forward receiver. The second one shows how to collect system logs with a Filelog receiver.
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