Operations | Monitoring | ITSM | DevOps | Cloud

With serverless computing, our daily tasks and routines are much more comfortable than they used to be before. Serverless allows us to put our focus on the code itself without the need to worry about the configuration of the underlying compute resources or maintenance. Numerous cloud providers (AWS included) gives us a variety of previously managed services which we can combine and create a massively scalable and incredibly robust serverless microservices.

Now that you’re invited, here’s the lowdown: Starting this Wednesday, you get the unique chance to attend four weeks of live working sessions with some of the top minds in serverless. They’ll prepare you to build production-ready serverless applications with the best practices of AWS top-of-mind. Along the way, you’ll get the chance to earn awesome prizes as you unlock milestones like deploying a stack and finishing your app.

Starting today, any developer can locally debug and develop any Lambda function, in any language or framework, against live cloud resources with any IDE, for free. You don’t even need a Stackery account. This capability can be obtained by installing the Stackery CLI either automatically via the Stackery VS Code Serverless Tools Plug-In or manually alongside any IDE.

Even though the public cloud has become a commonplace concept in today’s tech world, many companies in a variety of industries remain slow to leverage its advantages. One commonly cited reason for this is that even for experienced IT experts, the transition to and adoption of cloud technologies can be daunting.

This blog post is for anyone needing a jumpstart into the world of Kusto. Perhaps you’ve heard about Kusto and are just curious. Maybe you’re just starting to use Azure Monitor for your application monitoring. You might even be getting skilled up in anticipation of the new Squared Up for Azure release that will have KQL at its heart. Whatever your reason, set aside the next 10 minutes and we'll get you up to speed with KQL. Ready? KQL stands for Kusto Query Language.

If you’re a CFO or finance leader at a company that uses public cloud services like AWS, chances are you’ve had a bill cross your desk that may seem confusing. You or your team of financial analysts may have frequent conversations with engineering about how AWS services are allocated across different engineering initiatives.