Docker Tips : access the Docker daemon via ssh
Docker 18.09 offers the possibility for a Docker client to communicate with a remote daemon via ssh. Here’s how.
The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Docker 18.09 offers the possibility for a Docker client to communicate with a remote daemon via ssh. Here’s how.
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.
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.
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.
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.
Hey folks, been a little while since we’ve done a roundup of new & interesting pack updates. This time it’s Telegram, vSphere, Terraform, Napalm, Icinga2 and more. We’ve also been doing some background preparation work for Python 3. Read on for the full details.
AWS Lambda has a soft limit of 75GB for deployment packages for all your functions (including the layers you use). This might seem a lot, but a team that has fully embraced serverless can reach this limit very quickly.