In the first part of this series, we outlined the different components of a Pivotal Cloud Foundry deployment and how they work together to host and run applications. In this article we will look at some of the most important metrics that PCF operators should monitor. These metrics provide information that can help you ensure that the deployment is running smoothly, that it has enough capacity to meet demand, and that the applications hosted on it are healthy.

Pivotal Cloud Foundry (PCF) is a multi-cloud platform for the deployment, management, and continuous delivery of applications, containers, and functions. PCF is a distribution of the open source Cloud Foundry developed and maintained by Pivotal Software, Inc. PCF is aimed at enterprise users and offers additional features and services—from Pivotal and from other third parties—for installing and operating Cloud Foundry as well as to expand its capabilities and make it easier to use.

If you remember getting an Erector Set as a kid, I’m sorry. In a stocking full of toy building systems, an Erector Set is the proverbial lump of coal. The instructions are complicated, and the pieces are made of metal, connected together with tiny screws. Few children have ever completed one of these sets successfully.

If it hasn’t happened already, someone in your organization will soon ask you to explain your AWS bill. Depending on the complexity of your cloud environment, you will consider the bill to be something between a riddle and an incomprehensible and unbreakable code. We know, we’ve been there.

If you want find out if end users are running into bugs, slow page load speeds and other hidden issues, or want to discover where and why people are falling out of your conversion funnels, Raygun is going to provide much needed visibility and answers for your team.

The year is 2020 and you are responsible for ensuring the efficient and reliable operations of millions of dollars of cloud computing infrastructure. Things have changed a lot in the past few years, even more so from the days when you first moved from on-premise and into AWS.

Serverless is often described as the abstraction to end all abstractions. VMs and standalone containers pale in comparison stateless functions. That pristine distinction between the application’s code and its stateful data is something we all dream of. Scalability, observability and high availability can now be realized on a global scale.