Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Dynatrace

NOVEMBER 22, 2022

Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models.

Infrastructure 185

Infrastructure Availability Systems Retail 185

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

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. All of the existing approaches we just examined involve trade-offs that AWS didn’t want to make.

Serverless 101

Serverless Virtualization Lambda AWS 101

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 123

Cloud Serverless AWS Storage 123

Brendan Gregg

MAY 1, 2022

My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware. Intel has historically been a top contributor to the Linux kernel, and supports countless other projects.

Wireless 52

Wireless Hardware Open Source Cloud 52

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

All Things Distributed

SEPTEMBER 6, 2013

This spring I travelled through Europe for the AWS Global Summit series. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. To reach those goals, Shell in 2010 began using AWS. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129

Cloud Energy AWS Healthcare 129

The Polyglot Developer

MARCH 5, 2017

Not too long ago I wrote about an open source object storage software called Minio and how I was using it on my Raspberry Pi for backups. The great thing about Minio is it shares the same APIs as AWS S3, but can be deployed to your own hardware, eliminating Amazon as a dependency.

Storage 40

Storage Cloud Hardware Open Source 40

Brendan Gregg

FEBRUARY 28, 2023

link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

Performance 110

Performance Latency Cache Virtualization 110

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 on identical hardware, with identical settings, but at different load levels.

Performance 54

Performance Benchmarking Cache Storage 54

Brendan Gregg

FEBRUARY 28, 2023

link] , 2021 [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] , Apr 2021 [Ghigoff 21] Yoann Ghigoff, et al.,

Performance 52

Performance Latency Cache Virtualization 52

Percona

JULY 26, 2023

It is recommended to upgrade your stack as soon as possible to take advantage of improvements and any security-related software updates. 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.

Database 84

Database Servers Storage Strategy 84

HammerDB

JANUARY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and any opinions are specific to the context of HammerDB as an independent personal project and are not related to Intel in any way. Repeatability. can you be sure that it scales?

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Percona

APRIL 17, 2023

Percona Backup for MongoDB is a custom-built backup utility designed to cater to the needs of users who don’t want to pay for proprietary software but require a fully supported community backup tool capable of performing cluster-wide consistent backups in MongoDB. This is because the setting has no use in modern PCIe/NVMe devices.

Best Practices 52

Best Practices Design Tuning Database 52

Adrian Cockcroft

NOVEMBER 11, 2019

In the same way that we have moved from a few big software releases a year to continuous delivery of many small changes, we need to move from annual disaster recover tests or suffering when things actually break, to continuously tested resilience. This discussion focuses on hardware, software and operational failure modes.

Latency 52

Latency Engineering Systems Hardware 52

The Netflix TechBlog

MARCH 8, 2021

Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. How did we get here?

Entertainment 306

Entertainment Storage Hardware Open Source 306

Adrian Cockcroft

NOVEMBER 11, 2019

In the same way that we have moved from a few big software releases a year to continuous delivery of many small changes, we need to move from annual disaster recover tests or suffering when things actually break, to continuously tested resilience. This discussion focuses on hardware, software and operational failure modes.

Latency 53

Latency Engineering Systems Hardware 53

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). They will simply be part of the environment in which software developers work.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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

High Scalability

OCTOBER 24, 2022

Limit the cloud services a cloud provider can offer and you limit the quality of the software we can build. Each cloud-native evolution is about using the hardware more efficiently. Building software is not moving freight. It would make the job of building quality software even harder and slower and more expensive.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

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 ).

Performance 145

Performance Cache Network Metrics 145

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

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 103

Performance Cache Metrics Network 103