Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 106

Performance Monitoring Traffic Database 106

Scalegrid

JANUARY 25, 2024

Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. Throughput Ensuring optimal performance and efficient handling of many queries is crucial for Redis, as it offers exceptional speed and minimal delay. It could also indicate a potential issue, say, an expensive query.

Metrics 130

Metrics Monitoring Latency Cache 130

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

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

Testsigma

FEBRUARY 13, 2021

For businesses to be more agile and work with an unmatchable speed, cloud testing is crucial. A cloud-based test automation tool is a cloud environment that comes equipped with an infrastructure that supports the testing of various apps or software. If we don’t perform with speed, there’s a lot to lose. by 2024, globally.

Cloud 52

Cloud Testing Testing Tools Small Business 52

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. Having MySQL backups for your database can speed up and simplify the recovery process. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. A business unit can now go out and create their own data warehouse in the cloud of a size and speed that exactly matches what they need and are willing to pay for.

Analytics 135

Analytics Cloud Healthcare Retail 135

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Software failure: Software applications can become vulnerable, or they can crash altogether.

Database 89

Database Hardware Open Source Strategy 89

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 279

Serverless AWS Lambda Storage 279

Dynatrace

AUGUST 11, 2022

Effective application development requires speed and specificity. Cloud providers then manage physical hardware, virtual machines, and web server software management. Monolithic architectures were commonplace with legacy, on-premises software solutions. Software as a service (SaaS) delivers on-demand applications.

Development 250

Development Serverless Best Practices Lambda 250

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it).

Cloud 118

Cloud AWS Automotive Latency 118

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” It supports the industry’s most widely used software applications?—?via including AWS Thinkbox Deadline and Pixar’s Tractor.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Brendan Gregg

NOVEMBER 29, 2017

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. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

The Morning Paper

APRIL 2, 2019

Establishing software root of trust unconditionally Gligor & Woo, NDSS’19. In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g. The authors won a best paper award for this work at NDSS this year. for non-experts like me.

Software 40

Software Software Programming Hardware 40

Brendan Gregg

NOVEMBER 28, 2017

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. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. HammerDB is a software application for database benchmarking. HammerDB is open source software licensed under the.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It is recommended to upgrade your stack as soon as possible to take advantage of improvements and any security-related software updates. It provides a flexible data model allowing you to easily store unstructured data.

Database 81

Database Servers Storage Strategy 81

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This speeds up accesses and updates while offloading back-end database servers. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52

Testsigma

MAY 3, 2021

We love it so much that we devise new ways all the time to incorporate automation in each and every field of software development. What could be the best choice to cut down the costs and gain speed to move the pipeline faster than test automation? Test automation in conventional software is straightforward.

Mobile 77

Mobile Testing Operating System Hardware 77

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. Depending on the database size and on disk speed, a backup/restore process might take hours or even days!

Best Practices 73

Best Practices Traffic Database Servers 73

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost.

Cloud 137

Cloud Big Data AWS Analytics 137

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. The world didn't yet have pervasive multi-process browser sandboxing, JS JITs , or metal-speed binary isolation. Don't like the consequences?

Hardware 64

Hardware Mobile Programming Java 64

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This speeds up accesses and updates while offloading back-end database servers. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Hardware resources. Software that’s running. It’s crucial for a page to load at considerable speed with all the images, videos, content, and all other elements of the page. Hardware Resources.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Tim Kadlec

JANUARY 9, 2019

Mbps download speed Jake Archibald mentioned his relative getting or the 0.8 Mbps download speed my in-laws get at their house. Hardware gets better, sure. Software teams can reduce the environmental impact of device manufacturing, even if they don’t make devices themselves. It makes sense.

Performance 111

Performance Energy Internet Internet 111

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. When a node joins or re-joins a cell it needs to be brought up to speed, a process the authors call teaching.

Database 106

Database AWS Network Design 106

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . driver: intel_pstate CPUs which run at the same hardware frequency: 0 .

Best Practices 40

Best Practices Scalability Performance C++ 40

The Morning Paper

JANUARY 19, 2020

“Coping with complexity” is about as good a three-word summary of the systems and software challenges facing us over the next decade as I can imagine. Remember that ‘agent’ here could be a human – trying to form a sufficient mental model to triage an incident for example – or a software agent.

C++ 50

C++ Systems Software Software 50

Dynatrace

AUGUST 5, 2019

With Dynatrace, we follow a combination of agent and agent-less approach where the “secret sauce” lies in our Dynatrace OneAgent (watch my Performance Clinic YouTube tutorial with our Chief Software Architect Helmut Spiegl ). Optimize Query Performance and Data Storage Cost. Optimize the performance of key queries.

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40