2014 Blog Cloud Hardware 
Dynatrace
SEPTEMBER 29, 2020
At Dynatrace we host most of our Dynatrace SaaS clusters for paying customers as well as trial users in the Amazon Web Services (AWS) cloud. The Autonomous Cloud Enablement (ACE) Team at Dynatrace has an important role to play in that offering. Since we moved to AWS in May 2014 we have had an availability of 99.95%!
Dynatrace
NOVEMBER 29, 2022
And it’s a crucial step toward achieving cloud automation on the path to NoOps. In my previous blog post, Path to NoOps part 1: How modern AIOps brings NoOps within reach, I explored the aspirations of NoOps and how modern AIOps makes it possible. So we built one: The Dynatrace Cloud Automation control plane. Is it practical?
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Dynatrace
AUGUST 11, 2022
Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.
Brendan Gregg
MARCH 16, 2024
2014: Java in Flames Broken Java Stacks (2014) When I joined Netflix in 2014, I found Java's lack of frame pointer support broke all application stacks (pictured in my 2014 Surge talk on the right). I spent years as a cloud customer where I couldn't access many HW-level things.) I haven't used it. (I
Dynatrace
APRIL 5, 2021
The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.
Brendan Gregg
JULY 4, 2021
It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. Ford, et al., “TCP
Brendan Gregg
NOVEMBER 29, 2017
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1% small (thanks @cperciva ). ## 3.
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