Remove 2014 Remove Hardware Remove Servers
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Cloud infrastructure monitoring in action: Dynatrace on Dynatrace

Dynatrace

Since we moved to AWS in May 2014 we have had an availability of 99.95%! The AWS team confirmed a known hardware issue affecting a certain amount of EC2 machines in that region. On one hand, they enable our engineers to get their latest enhancements deployed into production. Sydney, we have a disk write latency problem!

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What is function as a service? App development gets FaaS and furious

Dynatrace

Cloud providers then manage physical hardware, virtual machines, and web server software management. The FaaS model of cloud computing debuted in 2014 with startups like hook.io. This code is then executed on remote servers in response to an event, such as users interacting with functional web elements.

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What is AWS Lambda?

Dynatrace

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? How does AWS Lambda work?

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What is cloud application security?

Dynatrace

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications?

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

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The Return of the Frame Pointers

Brendan Gregg

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). Back-end servers. The actual overhead depends on your workload. Others have reported around 1% and around 2%.

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Introducing SVT-AV1: a scalable open-source AV1 framework

The Netflix TechBlog

Netflix headquarters circa 2014. 264/AVC, currently, the most ubiquitous video compression standard supported by modern devices, often in hardware. SVT-AV1 uses parallelization at several stages of the encoding process, which allows it to adapt to the number of available cores including newest servers with significant core count.