How much does your Kubernetes service cost to operate? This seems like a simple question, right? It’s one thing to say how much your Kubernetes cluster itself costs to operate — that, after all, is a group of real servers, associated with a specific number.

We’ve noticed interesting threads floating around the internet asking how would you explain serverless to a toddler. As it happens, we just turned three years old and to mark the occasion, we decided to take up the challenge and wrote a bedtime story, for serverless enthusiasts of all ages, about how serverless came to be, from the very beginning. It is a magical tale of the ingenious, life-changing journey that got us to a new universe called Serverless.

One of the big problems we hear about with Azure is managing costs and understanding where the money is being spent. In fact, when we launched SquaredUp for Azure back in 2019, the ability to visualize costs quickly became one of the most popular features. It helped our customers (and ourselves, too) get a grip on Azure costs – by making it easy to identify under-utilized resources and take the appropriate action to reduce costs.

This blog explains a peculiar issue faced when Azure Durable Functions are deployed using Azure DevOps. In case you need to know what Azure Durable Functions are, please refer to Microsoft’s documentation on Durable Functions here as the explanation of it, is not under the scope of this blog. Durable functions work best when built with versions .NET Core 2.2 and above. After developing and testing a durable function, it can be deployed to Azure in many ways.

We’ve heard from customers about how important it is to be able to reliably operate your applications and infrastructure running on Google Cloud. In particular, observability is critical to reliable operations. To help you quickly gain insight into your Google Cloud environment, we’ve added 21 new features to Cloud Operations, the observability suite we launched earlier this year, which gives you access to all our operations capabilities directly from the Google Cloud Console.

One of the best things about cloud computing is how it converts technical efficiencies into cost-savings. Some of those efficiencies are just part of the tool kit, like pay-per-use Lambda jobs. Good DevOps brings a lot of savings to the cloud, as well. It can smooth out high-friction state management challenges. Sprucing up how you provision cloud services, for example, speeds up deployments. That’s where treating infrastructure the same as workflows from the rest of your codebase comes in.

Some time ago, an ex-colleague of mine at DAZN received an alert through PagerDuty. There was a spike in error rate for one of the Lambda functions his team looks after. He jumped onto the AWS console right away and confirmed that there was indeed a problem. The next logical step was to check the logs to see what the problem was. But he found nothing. And so began an hour-long ghost hunt to find clues as to what was failing and why there were no error messages.

Chief Architect at Drift, Freedom Dumalo, recently spoke with the CloudZero team about how they’ve successfully cut cloud costs by $2.4M in just a few months. When the world rapidly transitioned to work from home, Drift, the conversational marketing platform known for their chatbots, saw a spike in their customer utilization. The largest usage spike were among new users experimenting with their free trial. This increase in engagement was a great sign for their business.

After growing Carbon Black from nothing to over 800 employees, Founder and CTO Ben Johnson turned his attention to the security of SaaS applications with new startup Obsidian Security. Obsidian secures companies like Office 365, G Suite, Salesforce, Slack and Zoom. This time around, Ben is a seasoned founder and is proactively thinking about how to scale his company with healthy product margins. He uses CloudZero to monitor his AWS costs, detect anomalies, and enable his engineering team.