Ádám Sándor

Ádám Sándor
Ádám Sándor is a Cloud Native architect at Container Solutions.

Blog Posts

Monitoring containers on GKE with Google Stackdriver

Jan 12, 2018 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 done.

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Kubernetes The Hard Way Explained - Chapter 2

Sep 21, 2017 by Ádám Sándor

Kelsey Hightower’s tutorial is the goto place for wannabe Kubernetes administrators who want to learn the ins and outs of the platform. With the CNCF’s official Kubernetes Certified Administrator programme out recently we can only expect this great resource to gain even more attention.

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Kubernetes The Hard Way Explained - Chapter 1

Sep 12, 2017 by Ádám Sándor

Kelsey Hightower’s tutorial is the goto place for wannabe Kubernetes administrators who want to learn the ins and outs of the platform. With the CNCF’s official Kubernetes Certified Administrator programme out today we can only expect this great resource to gain even more attention.

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Zoover Goes Cloud Native with Kubernetes

Jan 17, 2017 by Ádám Sándor

We teamed up with Zoover to help them build a new production environment using Google’s hosted version of Kubernetes (GKE), with a Continuous Delivery pipeline based around CircleCIIn this blog, we’ll describe the system we built and explain the decisions we took. We’ll also have a look at workflow we settled on.

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Monitoring a microservice application with CoScale on Kubernetes

Oct 3, 2016 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 data about Kubernetes entities like Services.

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