In this post we will discuss some key considerations and strategies to monitor your AWS Lambda functions. This will include: which Lambda metrics you’ll want to monitor, how to collect AWS Lambda metrics with Prometheus and Logz.io, how to create a monitoring dashboard with alerts, and how to search and visualize your metrics.
We recently had a hackathon at Grafana Labs. Anyone who wanted could get several work days without normal responsibilities to do whatever they found meaningful in the wider Grafana community and/or Grafana Labs commercial offerings. This allowed me to invest some time into Kraken, a project designed for reading out different sensors, and to update it for modern hardware and libraries.
Many managed services providers (MSPs) depend on word-of-mouth referrals to generate new customers and grow their business. And while relying on these can work to a degree—especially if your company provides outstanding customer service—it isn’t an ideal strategy if you want to really scale or grow. There are several serious downsides to relying solely on these types of referrals.
Heroku is a wonderful cloud platform that allows developers to provision and operate applications. It enables the kind of fast feedback loop that developers crave. There is a heavy layer of abstraction when using Heroku to run applications, but it’s a valid tradeoff considering its ability to bootstrap projects. In this article, we will provide the steps you need to take in order to get Mattermost running on the Heroku Cloud Platform.