Hello CloudMakers!

While I was unable to keep our usual appointment last week due to attending an incredible AWS Meetup in Munich, Germany, I'm thrilled to let you know that we've just announced AWS Community Day Italy, which will be held in Rome on September 27, 2024! I'm really looking forward to it, and in the meantime, the Call for Papers opens tomorrow.

Today we shall see:

• Cloud Intelligence Dashboards Framework for AWS Organization

• What it was like working for GitLab

• Streamlining eBPF performance optimization with bpftop

Enjoy!

Cloud Intelligence Dashboards Framework for AWS Organization

This article introduces the Cloud Intelligence Dashboards Framework by AWS, leveraging AWS services for insights into cloud usage. It addresses the visibility challenge across multiple AWS accounts and offers a solution through dashboards like CUDOS, Cost Intelligence, KPI and Modernization, Trusted Advisor Organizational (TAO), and Compute Optimizer. These dashboards provide insights into cost optimization, operational insights, and security posture.

Deployment requires enabling Amazon QuickSight and AWS Compute Optimizer for certain dashboards, along with setting up Trusted Advisor for the TAO Dashboard. The solution is open-source, supported by AWS, and aims to help organizations manage their AWS environment efficiently by providing actionable insights for optimization. It serves as a cost-effective alternative to third-party solutions, supporting financial accountability, usage tracking, and governance best practices.

What it was like working for GitLab

This article is a personal account from someone who worked at GitLab between 2015 and 2021, providing a behind-the-scenes look at the company's growth, challenges, and what it's like to be part of a tech company during rapid changes. Despite initial reluctance to share due to burnout and an NDA, the author, post-NDA, opens up about their time at GitLab, emphasizing the unique insights such insider perspectives offer.

The story covers the highs and lows of working at GitLab, including technical hurdles, team dynamics, and the shift from a startup to a large enterprise. It touches on lessons learned, like the need for scalability, the impact of data-driven decisions, and the challenges of managing a SaaS alongside self-hosted solutions. This account stands out for its honest reflection on the tech industry's complexities, offering valuable lessons from an insider's viewpoint.

Announcing bpftop: Streamlining eBPF performance optimization

This article announces the release of bpftop, a new tool developed for improving and monitoring the performance of eBPF programs at Netflix. eBPF is becoming a big part of Netflix's system, so they made bpftop to help manage it better; this tool shows real-time info like how long programs run, how many events they handle per second, and how much CPU they use. It's designed to make things easier by only tracking performance when it's being used, which helps avoid slowing down the system.

With bpftop, users can quickly see how well their eBPF programs are doing, make changes, and see the results right away. To work, bpftop turns on a special setting to collect data on how eBPF programs are performing, but only does this when the tool is running to keep the system fast. The tool, which is made using Rust programming language, is available for anyone to use or improve on GitHub under the Apache 2 license.

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