The cloud native revolution brought by Kubernetes has transformed the way we build and deliver software, but the world of big data has for too long been left on the side of this transformation. Thanks to many contributions from the open source community, Apache Spark integration on top of Kubernetes is now officially generally available with the recent releases this year.

Serverless reduces a lot of operational burdens, but a ������������ ������������������������ is still your responsibility 🔐 From web threats, over IAM principles to auditing and monitoring.

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications with services such as Amazon ECS without needing to manage the underlying virtual machines. Deploying with Fargate removes operational overhead and lowers costs by enabling your infrastructure to dynamically scale to meet demand. We are proud to partner with AWS for its launch of support for AWS Fargate on Windows containers.

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications on services like Amazon ECS without needing to provision or manage compute resources. Now, Datadog is proud to be a launch partner with Amazon for their support of AWS Fargate workloads running on Graviton2, Amazon’s proprietary ARM64 processor.

In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print. Money makes the wold go round. Unfortunately, it is a necessity in almost all spheres of life. You can live without it or with lesser amounts of it, but it makes it all harder. If you wish to have it, first, you need to give it, as always. Even AWS Lambda is not free.

The world of cloud computing has been revolutionized by a solution called serverless computing. It has been an absolute joy for developers to use. Before this innovation, developers had to worry about the resources powering their code. Since the launch of serverless computing, the developer’s focus on operating-system and hardware architecture is now a thing of the past. It handles all the server management while focusing on what you do well — writing good quality code.

This article will cover how the health of your serverless application can be measured and improved. Technology and its implementation methodology evolve with time very rapidly. Cost efficiency and productivity are the key drivers of technological evolution these days. With the advent of the cloud, infrastructure costs have been brought down significantly. Serverless technology adds icing to the cake!

Observability is a measure of how well the internal state of a system can be inferred from its external outputs. It helps us understand what is happening in our application and troubleshoot problems when they arise. It’s an essential part of running production workloads and providing a reliable service that attracts and retains satisfied customers.

At Lumigo. we believe in serverless technology, and our mission is to make serverless development easy and fast. For the past few months, we’ve been extending our observability and debugging capabilities, making it a breeze for developers to understand the end-to-end story of every request that goes through the system, find the root causes of issues and be able to easily address them.

Today we are announcing an additional $29 million in funding to help Lumigo grow and provide the same powerful observability capabilities we brought to serverless to other cloud-native technologies, including containers and Kubernetes. Lumigo was founded by Aviad Mor and me a few years ago because we believed the world would be rapidly moving to cloud-native architectures and that these technologies are transformative. Our goal was to create the tools that help developers realize this vision.