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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

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.

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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines. ScyllaDB Cloud vs. ScyllaDB On-Premises. Most Popular Cloud Providers for ScyllaDB. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 Cloud vs. On-Premise Click To Tweet.

Big Data 187
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Most Popular Tools For Cloud Automation Testing

Testsigma

Cloud-based technologies are on a rise today. Even if I deviate a bit from core IT fundamentals, the pandemic of 2021 made cloud tech a hero. This is just a small example that we all can relate to and understand the cloud. This is just a small example that we all can relate to and understand the cloud.

Cloud 76
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

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What is Azure Functions?

Dynatrace

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing. Dynatrace news. What is Azure Functions?

Azure 136
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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

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.

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Netflix End of Series 1

Brendan Gregg

I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis. How would I do my job?

Java 145