Having completed a series of twelve Lighthouse Roadshow events across Europe and North America over the past six months, I’ve had time to reflect on what I’ve learnt about the rapid growth of the Kubernetes ecosystem, the importance of community and my personal development.

Apache Druid is a data warehouse and analytics platform that can capture streaming data from message queues like Apache Kafka and batch data from static files. Druid can be a valuable component in your technology stack if you need to collect real-time data for online analytical processing (OLAP) tasks like reporting, ad-hoc querying, and dashboarding.

The performance of your website is a key element in the success of your business—slow page load times and errors can degrade the user experience, leading to customer churn, fewer ad impressions, or abandoned shopping carts. To give you end-to-end visibility into the real-time activity and experience of individual users, we’re excited to add Real User Monitoring (RUM) to Datadog.

I set out on the road to Boston a few weeks ago to meet with our ever-growing ecosystem of partners and customers. I’m always looking to have interesting conversations in the field that will help drive our go-to-market strategy and engage our partners in driving value to their own bottom line. My energy was uniquely high during this trip due to our recent rebrand from “Virtual Instruments” to “Virtana” and the launch of our latest product offering, CloudWisdom.

Once upon a time, when dinosaurs roamed the earth, servers had to be built. A development team requested an environment for their code to run in, and a system administrator or infrastructure engineer plugged in a server and spent hours or days getting it ready to run code. Oh, and by the way, that was only one server of many required to run a web application—and this only happened after budgets were decided and forms were filled out.

Another day of re:Invent is over and it’s all been amazing and overwhelming. And yes, the medals really do spin. It was a huge honor to be named an AWS Serverless Hero a few weeks ago. As I prepare for more conference talks in the upcoming months, I’m reflecting on what it means to be granted this honor despite having only written my first lines of code earlier this year.

Acorn RISC Machine (Arm) processors were first released in 1985 to support low-power, low-cost computing. Because of their ability to deliver cost-effective performance, the next big use for Arm-based devices is in the cloud. AWS recently added a range of Arm-based EC2 instance types and is developing additional support (e.g., in Elastic Kubernetes Service). Meanwhile, Arm and Docker are working on tighter integration.

AWS Fargate has steadily gained traction in Amazon Elastic Container Service (ECS) environments because it allows users to run containerized applications without thinking about their underlying infrastructure. Today, AWS announced that support for Amazon Elastic Kubernetes Service (EKS) on AWS Fargate is now generally available, giving Amazon EKS users the option to seamlessly manage their infrastructure with AWS Fargate instead of manually provisioning EC2 worker nodes.

Serverless computing continues to be a growing trend, with AWS Lambda as a main driver of adoption. Today, AWS released Provisioned Concurrency, a new feature that makes AWS Lambda more resilient to cold starts during bursts of network traffic. If you’re running a consumer-facing application, slow page loads and request timeouts can degrade the user experience and lead to significant revenue loss.