Automated rollback of Helm releases based on logs or metrics

by Etienne Tremel

Continuous delivery is becoming a standard, if you implement the right process you get a predictable deployment. When a change is made in the code, most of the time the build, test, deploy and monitor steps are followed. This is the base for anyone willing to apply automation to their release process. If a failure is detected during the monitoring phase, then an operator has to verify and [...]

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Monitoring containers on GKE with Google Stackdriver

Alternative Text by Ádám Sándor

After acquiring Stackdriver in 2014, Google worked hard to make it the default log aggregation and monitoring solution for Google Cloud Platform (GCP). The feature set of Stackdriver is pretty good for an out of box integrated solution for GCP. It is the equivalent of CloudWatch on AWS - doesn’t have all the bells and whistles but it’s relatively cheap, integrated and gets the job [...]

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Monitoring Kubernetes with DataDog

Alternative Text by Ian Crosby

Monitoring is a crucial part of any production application, and it’s importance is increasing as we move towards cloud native. For all the benefits of distributed, microservice applications, there are challenges which come along as well. The complexity of the system has increased considerably. The number of pieces involved (applications, datastores, services, etc) has multiplied, and they are [...]

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Monitoring a microservice application with CoScale on Kubernetes

Alternative Text by Ádám Sándor

Monitoring microservice systems has been a hot topic at Container Solutions for some time. Combined with our recent interest in Kubernetes we set out to give the new CoScale monitoring solution a try. CoScale is a hosted and on-premise monitoring solution with native support for Docker and Kubernetes. In the case of Kubernetes, this means it can talk to the Kubernetes master server and measure [...]

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Monitoring Microservices with Prometheus

by Philip Winder

We seem to say this a lot at Container Solutions, but the combination of microservice architectures and the practice of DevOps have smashed apart the assumptions made by traditional tools. None more so than in the monitoring sector, which we’ve talked about in the semantic monitoring and monitoring performance blog posts. Traditional monitoring solutions like Nagios and New Relic (to give [...]

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