Monitoring tools are handy option for a smooth functioning of your ops. If properly configured, logs and visual data can make a huge difference during troubleshooting. In this post, we are going to introduce some popular Docker monitoring tools that you can choose for your environment depending upon your needs.
It is an established fact, that without logs troubleshooting is almost impossible or a very tough job. This holds true if you are running applications inside containers. Docker containers logging must be planned at initial stages of design, to get well-managed logs for better system functionality.
In our Jenkins course, we have covered several useful plugins such as build pipeline plugin and copy artifact plugin, etc. In this post, I will introduce another 6 of my favorite Jenkins plugins.
But like every development tool there are things that need to be considered in order to make most out of it, same holds true for Docker Containers. Here are some Do's and Don'ts you must consider while working with Docker containers.
The customers of Docker’s Enterprise Edition Software for containerized application management had never dreamt of deploying their apps using Kubernetes. But this is coming to reality because Docker announced it on October 17, 2017.
The importance of writing a clean code is immense. It helps in fixing bugs and optimizing the output. So let us take a quick look at some common mistakes that should be avoided while writing an Apache Spark Program or Spark applications.