Customer Satisfaction Score (CSAT) is one of the most widely used customer service metrics. Companies send short CSAT surveys after a support interaction—but these are tied to your customers’ most recent interaction with your company and can be skewed if they had an issue or poor experience. And because CSAT surveys are kept short to make it easy for customers to respond, they don’t tell you why customers feel the way they do.

We have been collecting Logplex data for our Heroku customers for a while now. With that data we create Magic Dashboards for Postgres and Redis integrations, and track Heroku Host Metrics. Starting today, we also extract error incidents from Heroku Logplex data and provide you with a magic dashboard for Heroku status codes.

One of the greatest challenges you may face when creating Kubernetes dashboards is getting the full picture of your cluster. Kubernetes is the de-facto standard for container orchestration, but it also has a very steep learning curve. We, at Sysdig, use Kubernetes ourselves, and also help hundreds of customers dealing with their clusters every day. We are happy to share all that expertise with you in the Kubernetes Dashboards.

In this blogpost I will introduce, how to create a business process from monitored hosts and services and how to add them to dashboards. Business Process module is an interesting module in Icinga Web 2. It allows you to visualise and monitor hierarchical business processes based on any or all objects monitored by Icinga. We can create custom business process and trigger notifications at process or sub-process level.

Whether it’s during an incident to find the root cause of the problem or during development to troubleshoot what your code is doing, at some point you’ll have an issue that requires you to search for the proverbial needle in your haystack of logs. Loki’s main use case is to search logs within your system. The best way to do this is to use LogQL’s line filters. However, most operators are case sensitive.

Daniel is a Site Reliability Engineer at k6.io. He’s especially interested in observability, distributed systems, and open source. During his free time, he helps maintain Grafana Tempo, an easy-to-use, high-scale distributed tracing backend. Distributed tracing is a way to track the path of requests through the application. It’s especially useful when you’re working on a microservice architecture.