The Netflix TechBlog

APRIL 29, 2019

We use and contribute to many open-source Python packages, some of which are mentioned below. takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., video streaming) takes place in the Open Connect network. If any of this interests you, check out the jobs site or find us at PyCon.

Open Source 279

Open Source Network Infrastructure Big Data 279

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

The Morning Paper

MARCH 1, 2020

Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The first version of AWS Lambda was built using Linux containers. This tradeoff is unacceptable to public infrastructure providers, who need both strong security and minimal overhead.

Serverless 101

Serverless Virtualization Lambda AWS 101

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Now, thousands of customers are trying Amazon SageMaker and building ML models on top of their data lakes in AWS. In machine learning, more is usually more. Acceleration and distribution.

Scalability 159

Scalability Hardware AWS Tuning 159

Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 116

Cloud Serverless AWS Storage 116

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

All Things Distributed

JULY 20, 2015

This key/value store acts as the single source of truth for all information on the cluster (state, and all changes to state transitions) are entered and stored here. To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures.

Latency 166

Latency Architecture AWS Open Source 166

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

MAY 28, 2019

We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data.

Energy 52

Energy Hardware Efficiency Architecture 52

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill.

Performance 40

Performance Hardware Latency Infrastructure 40

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. This is more efficient than $regex but needs you to prepare in advance by adding text indexes to your data sets.

Database 78

Database Servers Storage Strategy 78

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

Percona

APRIL 17, 2023

MongoDB security: Monitor MongoDB performance regularly As with any database, it’s essential to monitor MongoDB performance to ensure it’s running with optimal efficiency and effectiveness. This is because the setting has no use in modern PCIe/NVMe devices. Download today.

Best Practices 52

Best Practices Design Tuning Database 52

Smashing Magazine

JANUARY 6, 2020

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Large preview ). But this consideration needs to be deliberate.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). There are many tools allowing you to achieve that: SiteSpeed.io

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 7, 2019

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). There are many tools allowing you to achieve that: SiteSpeed.io

Performance 104

Performance Cache Network Metrics 104