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

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 80

Cloud Open Source Strategy Best Practices 80

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness.

Tuning 52

Tuning Efficiency Database Performance 52

HammerDB

APRIL 19, 2023

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. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). for the wasm-version.

Mobile 104

Mobile Cloud Latency Games 104

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The 5G network is operating at 3.5GHz).

Energy 130

Energy Latency Performance Network 130

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

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. All of these require a lot of capital.

Cloud 57

Cloud Testing Storage DevOps 57

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 89

Storage Engineering Database Hardware 89

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

From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

SQL Performance

MARCH 17, 2020

This machine has four i7 CPUs (hyperthreaded to 8) with a base speed of 2.4GHz. The Sort only has 19 rows to process, so it consumes only 1ms or so. Not everyone will be able to move to column store storage quickly, and it won't always be the right solution anyway. The cost threshold for parallelism is set to 50.

Servers 86

Servers Tuning Database Efficiency 86

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 273

Serverless AWS Lambda Storage 273

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. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 89

Database Hardware Open Source Strategy 89

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Setting oom_score_adj to -800.

Performance 127

Performance Hardware Tuning Storage 127

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

APRIL 5, 2012

Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing. The best part was that the entire process was what I call Ã?hands Anything that saves time and simplifies processes for employees of a young startup has a positive affect that CAN NOT be overstated.

Innovation 146

Innovation AWS Education Network 146

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. What Exactly is Greenplum? Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 282

Cloud Entertainment AWS Infrastructure 282

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. " Query execution.

Processing 72

Processing Hardware Database Azure 72

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 monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

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

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. 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.

Database 81

Database Servers Storage Strategy 81

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Each partition holds data that falls within a specific range, optimizing data handling and query speed. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

DECEMBER 14, 2022

In the database world there are essentially two types of database operations: Online Transaction Processing , OLTP : Online transaction processing applications have high throughput and are insert- or update-intensive in database management. The key goals of OLTP applications are availability, speed, concurrency, and recoverability.

Database 92

Database Analytics Storage Processing 92

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. Query Routers (mongos) : Query routers, also known as “mongos” processes, act as the interface between applications and the sharded cluster.

Best Practices 73

Best Practices Traffic Database Servers 73

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

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. There are also large differences in storage capacity and throughput between these extremes.

Azure 72

Azure Virtualization Servers Storage 72

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. It enables the user to measure database performance and make comparative judgements about database hardware and software.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., 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. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

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

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

What could be the best choice to cut down the costs and gain speed to move the pipeline faster than test automation? From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. The frequent mobile app updates are living evidence of this claim. Variety of Device Settings.

Mobile 77

Mobile Testing Operating System Hardware 77

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Could it be Analyzing efficient stream processing on modern hardware ? Some cool algorithms: Pigeonring speeds up thresholded similarity searches. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. A request will be sent from the client-side and an HTTP check waits on the server port to get the message, process it, and then send back the response. Hardware resources. Processing and generating the response.

Monitoring 63

Monitoring Entertainment Hardware Latency 63