Operations | Monitoring | ITSM | DevOps | Cloud

Gigantic amounts of data are being generated at high speeds by a variety of sources such as mobile devices, social media, machine logs, and multiple sensors surrounding us. All around the world, we produce vast amount of data and the volume of generated data is growing exponentially at a unprecedented rate. The pace of data generation is even being accelerated by the growth of new technologies and paradigms such as Internet of Things (IoT).

With AWS Lambda, we get blue-green deployment out of the box. After we update our code, requests against our function would be routed to the new version. The platform would then automatically dispose of all containers running the old code to free up resources.

Docker 18.09 offers the possibility for a Docker client to communicate with a remote daemon via ssh. Here’s how.

In the words of the UFC's icon Bruce Buffer, with a 180 degree spinning announcement - "we...are...live..." and finally after a long beta period, we're ready to launch to the public as a whole. The beta period has been an excellent experience for us, and of course, a great learning curve.

Stackdriver Monitoring contains a wealth of information about cloud resource usage, both for Google Cloud Platform (GCP) and and other sources. This post will explain how to use the Stackdriver Monitoring API to read, downsample, and export data from Stackdriver to BigQuery. Pub/Sub metrics will be used to demonstrate this.

The Kubernetes ecosystem contains a number of logging and monitoring solutions. These tools address monitoring and logging at different layers in the Kubernetes Engine stack. This document describes some of these tools, what layer of the stack they address, as well as best practices for implementation including an example from the field, a quick start, and a demo project.

As Microsoft Azure continues to be developed and more automation options become available; Azure Automation, Logic Apps, ARM (Azure Resource Manager) and Azure Function Apps to name a few, the question is quickly turning from ‘how do I automate with Azure?’ to ‘what automation type do I use in Azure?’. Across our next few blogs we will seek to delve into the options available and look to define how they stack up against Azure Automation.

An important element of operating Kubernetes is monitoring. Hosted Kubernetes services simplify the deployment and management of clusters, but the task of setting up logging and monitoring is mostly up to us. Yes, Kubernetes offer built-in monitoring plumbing, making it easier to ship logs to either Stackdriver or the ELK Stack, but these two endpoints, as well as the data pipeline itself, still need to be set up and configured.

We released version 2.2.0 of Rancher today, and we’re beyond excited. The latest release is the culmination of almost a year’s work and brings new features to the product that will make your Kubernetes installations more stable and easier to manage.