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This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. We’re born in the cloud, we’re a cloud-native company.
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. Each dimension has progressed through these stages: 1.
The growth of Azure cloud computing. Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. Making the best use of Azure Functions.
Instead of diving in arguing about specific points (which I partly did in my earlier post – start from The Future of Performance Testing if you are interested), I decided to talk to people who monetize on these “myths” So here is a virtual interview with Guillaume Betaillouloux , co-founder and Performance Director of OctoPerf.
During our annual Perform event, CEO John Van Siclen explained how several years ago – whilst at a dinner in Linz – we saw the cloud coming, and that it would disrupt everything, meaning monitoring alone would no longer be enough. We’re spearheading the move to the cloud, the disruption, and we want you to continue with us on that journey.
A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments.
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., Ford, et al., “TCP on Upcoming Sapphire Rapids CPUs,” [link] Oct 2020 - [Liu 20] Linda Liu, “Samsung QVO vs EVO vs PRO: What’s the Difference?
CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). That chance encounter, coupled with the Netflix's fault-tolerant cloud, gave me enough confidence to suggest trying tsc in production as a workaround for the issue.
TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP
Expanding the Cloud - The AWS GovCloud (US) Region. This new region, which is located on the West Coast of the US, helps US government agencies and contractors move more of their workloads to the cloud by implementing a number of US government-specific regulatory requirements. Cloud First. Cloud Firstâ?? Cloud Readyâ??;
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. Each dimension has progressed through these stages: 1.
However, due to its reliance on the virtual memory subsystem, it is not suitable for larger datasets. released in December 2015. You should always keep an eye on the amount of free disk space on your production server, and also prudent to know your database size when you’re paying for it on a cloud platform.
RISC-V ownership was transferred to a foundation in 2015, and its growth rates and industry support have picked up in recent years. I think the key challenge is that RISC-V needs to be so much better or more cost effective than ARM that it ends up as a mainstream processor with its own family of cloud instances, laptops etc.
EPU: Emotion Processing Unit is designed by Emoshape , as the MCU microchip design to enable a true emotional response in AI, robots and consumer electronic devices as a result of a virtually unlimited cognitive process. TPU1 focused on the inference tasks, and has been deployed in the datacenter since 2015.
TheCube is running a virtual Supercloud event on August 9th , and I’m taking part in a panel moderated by John Furrier, along with two old “ clouderati ” friends Lori MacVittie of F5, who write a blog on Supercloud a few months ago, and Chris Hoff of Lastpass, a security expert who helped lead BofA’s technology platform for several years.
Virtual Memory. Donovan Fritz and Joel Kodama (networking) A Day in the Life of a Cloud Network Engineer at Netflix. youtube]: [link] [slideshare]: [link] [interesting talks]: [link] [Linux Profiling at Netflix]: /blog/2015-02-27/linux-profiling-at-netflix.html [2014]: /blog/2015-03-03/performance-tuning-linux-instances-on-ec2.html
Virtual Memory. Donovan Fritz and Joel Kodama (networking) A Day in the Life of a Cloud Network Engineer at Netflix. youtube]: [link] [slideshare]: [link] [interesting talks]: [link] [Linux Profiling at Netflix]: /blog/2015-02-27/linux-profiling-at-netflix.html [2014]: /blog/2015-03-03/performance-tuning-linux-instances-on-ec2.html
TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP
2015-2020: Overhead As part of production rollout I did many performance overhead tests, which I've described publicly before: The overhead of adding frame pointers to everything (libc and Java) was usually less than 1%, with one exception of 10%. I spent years as a cloud customer where I couldn't access many HW-level things.)
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., Ford, et al., “TCP on Upcoming Sapphire Rapids CPUs,” [link] Oct 2020 - [Liu 20] Linda Liu, “Samsung QVO vs EVO vs PRO: What’s the Difference?
Load averages are an industry-critical metric – my company spends millions auto-scaling cloud instances based on them and other metrics – but on Linux there's some mystery around them. They can be also useful when a single value of demand is desired, such as for a cloud auto scaling rule. I've never seen an explanation.
CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). That chance encounter, coupled with the Netflix's fault-tolerant cloud, gave me enough confidence to suggest trying tsc in production as a workaround for the issue.
CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). That chance encounter, coupled with the Netflix's fault-tolerant cloud, gave me enough confidence to suggest trying tsc in production as a workaround for the issue.
compared to early 2015. Also check DNS Performance comparison and Cloud Peformance Comparison. In 2015, Google introduced Brotli , a new open-source lossless data format, which is now supported in all modern browsers. Faster devices on faster networks have virtually no stalls. Unfortunately, the data is only from 2019).
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