Operations | Monitoring | ITSM | DevOps | Cloud

If you’re in developing business, you’ve probably heard about AWS Lambda by now. In case you haven’t, AWS Lambda has been among us for years, and it certainly brought a whole new level for running a code. The benefits of using AWS Lambda are vast, and many developers already use AWS Lambda daily. If you’re not among them, read through this article to learn more about what AWS Lambda can do for you and your code.

In 2018, AWS pulled in $25.7 billion. Amazons serverless cloud-computing platform keeps growing every year, and with that growth comes the same types of problems every massive effort faces: the limits and deterioration of performance as time goes on. With the rise of serverless technology, developing application and new services has never been easier.

Azure Lighthouse is a new feature that provides improved access management for users and applications across different Azure tenants. With Azure Lighthouse, managed service providers (MSPs) can manage their customers’ environments more easily and efficiently than ever before. Datadog is proud to announce support for Azure Lighthouse, which ensures that MSPs can implement a streamlined, scalable approach to monitoring their customers’ Azure environments.

Serverless applications require a whole new approach to development workflow. In this article, Lumigo Director of Engineering Efi Merdler-Kravitz details the guiding principles and tools used at a 100% serverless company to ensure the most efficient workflow possible. We are not going to talk about product development flow (no product managers were harmed during the making of this post!).

If you're running in the cloud and ever struggle to predict, report on, or attribute your cloud costs, you may want to consider a new kind of role: A Financial Cloud Operations Manager. While a traditional cloud operations manager may sit on the DevOps team or report to an engineering lead, a financial cloud ops manager’s reporting structure is slightly different.

I have been super fortunate to work with incredibly innovative, talented teams that create powerful technology to help manage the world's data. When I met with Thomas Hazel, CHAOSSEARCH founder and CTO, and Les Yetton, CHAOSSEARCH co-founder and CEO to talk about CHAOSSEARCH — scalable, performant text search to your object storage without having to move any data — I knew it was special and was eager to join.

I am delighted to announce a big new initiative that we have been working on here at Squared Up. Our engineers have been working their socks off to build a new product, Squared Up for Azure, and it’s shaping up very nicely. It’s not ready for you to play with quite yet, but we plan to have an early release available for enthusiastic testers in late September (sign up below!).

As a company providing tooling to enable developers and operations teams to adopt a productive serverless workflow, Stackery is closely integrated with Amazon Web Services (AWS). Our customers are development teams who want to confidently build on AWS serverless and then manage the pipeline to production with confidence that what gets built and changed is done efficiently and well.

On AWS, your workloads will be as secure as you make them. The Shared Responsibility Model in which AWS operates ensures the security of the cloud, but what’s in the cloud needs to be secured by the user. This means that as a DevSecOps professional, you need to be proactive about securing your workloads in the Amazon cloud. Achieving the optimal level of security in a multi-cloud environment requires centralized, automated solutions.

A big part of Checkly runs on AWS Lambda, but I never really discussed it in depth before on this blog. So here we go. Topics are: Note, I'm using "Lambda" here as a stand in for "serverless" in general. Many of the things discussed here apply to either Google Cloud Functions, Azure Functions and possibly Zeit although I've never used it. First something on how we use Lambda. Last week we went over 35 million check runs.