Operations | Monitoring | ITSM | DevOps | Cloud

In classic Puppet deployment architecture, compile masters are widely used when the number of managed nodes goes up. Multiple compile masters sit behind a load balancer to take care of the additional workloads. It is not rare to see Puppet adopters launching the compile masters in the public cloud, such as Amazon Web Service (AWS) and Google Cloud Platform.

Microsoft recently announced general availability of Azure VM Insights, aka Azure Monitor for VM. This service is basically a set of features that allow you to monitor your VMs in more detail, from collecting the telemetry from your VM to displaying it meaningfully – all with a single click. I am satisfied with Azure VM Insights for the most part, but I also have some mixed feelings about it. Read on to find out why.

I’ve been writing about continuous cloud optimization for a while now, and recently, I’ve spoken with several organizations to understand any challenges they’re currently facing in their automation journey. Their insights would help us understand how we can improve our technology to better support them. I discovered two fundamental themes behind their challenges.

Just like countless other business functions, cloud delivery has now shifted entirely to remote working for now and perhaps longer term. Canonical has been a remote-first company for some time, so we thought we’d take this opportunity to share some of the best practices we’ve learned along the way. Communication Effective communication between customers, engineers, and project managers is the most critical element of successful cloud delivery.

A video chat with the developers who bring right-sized cloud costing information in real-time. It all started with a casual conversation about the cloud and infrastructure monitoring among the team at Galileo and our parent company, The ATS Group. From there, it quickly evolved into a discussion on how we can alleviate a source of frustration for many of our customers.

This is a hands-on course on how to deploy a fully Serverless web app using the AWS CDK. You can use the resources declared in this demo application as a starting point to mix and adapt to your own architectures later, which should save you quite some time.

A while back I talked about how big companies have started using serverless in production and how this is a clear sign that we will see more implementation of the serverless infrastructure in the near future. I’d like to take some time today and talk about one of the companies that are using serverless in production: Coca-cola.