Data centers and cloud are undoubtedly an integral part of business continuity strategies of companies to run operations with a distributed workforce amid the lockdown successfully. The Covid-19 outbreak and the resultant work from home policies have pushed businesses across globe increase in adoption of cloud infrastructure services up by 80%. Managing the entire suite of enterprise technology is not easy for businesses that have several vendors on board.

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.

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.

Amazon Web Services provides its users with the ability to create temporary credentials via the use of AWS Security Token Service (AWS STS). These temporary credentials work pretty much in the same manner like permanent credentials created from AWS IAM Service. There are however two differences.

Stackery is focused on helping developers leverage the power of AWS managed services. Our secure delivery platform is used to ship Lambda functions, HTTP Gateways, Aurora database clusters, and many more services which you can view usage of in Anna’s blog on the topic. Recently, I noticed an emerging workload running on our platform: the JAMstack. That’s a term for web applications composed primarily of JavaScript, APIs, and Markup.

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.

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.

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.

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.

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.