As containers and orchestrators have surged in popularity, they have created highly dynamic environments with rapidly changing workloads—and the need for equally dynamic ways of monitoring them. After all, orchestration technologies like Kubernetes, DC/OS, and Swarm manage container workloads both at the node level and at the cluster level, which means that you need to gather insights from every layer to fully understand the state of your infrastructure.
Source maps are awesome. Namely, because they are used to display your original JavaScript while debugging, which is a lot easier to look at than minified production code. In a sense, source maps are the decoder ring to your secret (minified) code. However, they can be tricky to get working properly. If you’ve run into some trouble, the tips below will hopefully help you get everything in working order.
Service level objectives are an important tool for maintaining application performance, ensuring a consistent customer experience, and setting expectations about service performance for both internal and external users. We are very pleased to announce the availability of a new monitor uptime widget that makes it simple to monitor the status of your SLOs and communicate that status to your teams, executives, or external customers.
Sifting through all your logs to find what you need can be challenging—especially during an outage, when time is critical and you’re flooded with WARN and ERROR messages. To help you immediately surface useful information from large volumes of logs, we developed Log Patterns.
It is not uncommon to have multiple monitoring solutions for IT infrastructure these days as distributed architectures take hold for many enterprises. We often hear from Google Cloud Platform (GCP) customers that they use Stackdriver to monitor resources as well as Grafana and Prometheus for container monitoring. We’ve heard lots of requests from customers to be able to view Stackdriver data in Grafana effortlessly.
When traffic increases, we need to have a way to scale our application to keep up with user demand. With Kubernetes multi-cluster management through Rancher, scaling has never been easier and more efficient. Read here about scaling Kubernetes and the challenges you might be facing when managing a hybrid cloud environment.
