Brendan Gregg

MAY 1, 2022

I'm thrilled to be joining Intel to work on the performance of everything, apps to metal, with a focus on cloud computing. 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.

Wireless 52

Wireless Hardware Open Source Cloud 52

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

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

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

JULY 4, 2021

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. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 52

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

Brendan Gregg

FEBRUARY 28, 2023

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

Performance 52

Performance Latency Cache Virtualization 52

High Scalability

OCTOBER 24, 2022

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 122

Cloud Serverless AWS Storage 122

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

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., In this paper we explore the implications microservices have across the cloud system stack. Hardware implications. ASPLOS’19. Bottleneck locations also vary with load.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Open Source.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

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

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. One of our first partners for the Netflix Workstations is NetFX , a cloud-based VFX platform that enables vendors, artists, and creators worldwide to collaborate on Netflix VFX content.

Entertainment 306

Entertainment Storage Hardware Open Source 306

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. We’ll say more about this later.)

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services.

Infrastructure 181

Infrastructure Availability Systems Retail 181

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? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

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. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

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.

Virtualization 101

Virtualization Serverless Lambda AWS 101

Percona

JULY 26, 2023

As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money. While cloud services make it easy to scale up instances, the cost can quickly mount up.

Database 83

Database Servers Storage Strategy 83

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

This discussion focuses on hardware, software and operational failure modes. This is why most AWS regions have three availability zones. The third team is the infrastructure platform team, who deal with datacenter and cloud based resources. If something fails, there should be another way for the system to succeed.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. This is why most AWS regions have three availability zones. The third team is the infrastructure platform team, who deal with datacenter and cloud based resources. If something fails, there should be another way for the system to succeed.

Latency 53

Latency Engineering Systems Hardware 53

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

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 Metrics Network 104