Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Above that there’s a deployment platform such as Kubernetes or AWS Lambda.

Engineering 137

Engineering Serverless Lambda AWS 137

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. Below is a broad technical overview of how to go from an AWS instance to a Netflix Workstation. We needed a system that could manage hundreds to one-day thousands of workstations.

Entertainment 306

Entertainment Storage Hardware Open Source 306

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

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? We broke down the data by open source databases vs. commercial databases: Open Source Databases. Popular examples of open source databases include MySQL, PostgreSQL and MongoDB.

Open Source 55

Open Source Database Cloud Infrastructure 55

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. Anyone can rent a rack in a colo and stand up a system. Maybe start investing into open source alternatives rather than complaining they don't already exist? For example, AWS created Nitro. You can switch between clouds with effort.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

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

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

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

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. 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

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

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 102

Database Benchmarking Latency C++ 102

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

Brendan Gregg

FEBRUARY 28, 2023

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! Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. 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 Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

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. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

Brendan Gregg

FEBRUARY 28, 2023

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! Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

VoltDB

JUNE 29, 2017

This allows publishers to establish a “premium” auction instead of the typical real-time bidding system. 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.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

This allows publishers to establish a “premium” auction instead of the typical real-time bidding system. 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.

Performance 40

Performance Hardware Latency Infrastructure 40

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

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

Adrian Cockcroft

NOVEMBER 11, 2019

A resilient system continues to operate successfully in the presence of failures. The system needs to maintain a safety margin that is capable of absorbing failure via defense in depth, and failure modes need to be prioritized to take care of the most likely and highest impact risks. The first technique is the most generally useful.

Latency 52

Latency Engineering Systems Hardware 52

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. Percona Backup for MongoDB is an open source, distributed, and low-impact solution for consistent backups of MongoDB sharded clusters and replica sets.

Database 79

Database Servers Storage Strategy 79

Adrian Cockcroft

NOVEMBER 11, 2019

A resilient system continues to operate successfully in the presence of failures. The system needs to maintain a safety margin that is capable of absorbing failure via defense in depth, and failure modes need to be prioritized to take care of the most likely and highest impact risks. The first technique is the most generally useful.

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). Open source models are a large and diverse group.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

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

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. Data always keeps being accrued.

Scalability 159

Scalability Hardware AWS Tuning 159

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 Metrics Network 104

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