Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.

Monitoring 98

Monitoring Scalability Cache Database 98

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 104

Performance Monitoring Traffic Database 104

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100

AWS Entertainment Open Source Benchmarking 100

n0derunner

OCTOBER 1, 2019

Nutanix X-Ray is well known for being able to model IO/Storage workloads, but what about workloads that are CPU bound? For our purposes we are going to use Postgres DB and the built-in benchmarking tool PGbench. This time though the metric is Database transactions per second not IOPS or Storage throughput.

Performance 75

Performance Benchmarking Storage Database 75

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 135

Tuning Cache Servers Benchmarking 135

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . As HammerDB supports graphical metrics for Oracle, this provides the best illustration however the concepts apply in general terms to all databases. Oracle Log File Sync. innodb_flush_log_at_trx_commit=0. PostgreSQL.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Percona

SEPTEMBER 1, 2023

Inadequate CPU, memory, or storage can lead to bottlenecks and performance degradation, so remedying these issues involves upgrading hardware or optimizing resource utilization through query and server configuration adjustments. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JULY 1, 2023

Multi-Availability Zone (AZ) Deployment Aurora’s Multi-Availability Zone (AZ) deployment offers remarkably high availability and fault tolerance by automatically replicating data across multiple availability zones using its distributed storage architecture to eliminate single points of failure. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. It could help us design and implement more targeted reward functions.

Testing 163

Testing AWS Lambda Network 163

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Today, either method returns a similar answer. A 2021 Global Baseline.

Performance 124

Performance Network Cache Metrics 124

Dotcom-Montior

JUNE 16, 2020

SaaS businesses are built upon the simplicity of computing, storage, and networking they provide to their users. If any of the compliance metrics are out of the range, you should have all the required information to identify and resolve the issue. Here is how you can achieve SLA compliance goal for your SaaS business.

Infrastructure 52

Infrastructure Monitoring Mobile Benchmarking 52

Percona

DECEMBER 20, 2018

With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies. Fsync Performance on Storage Devices. And making lists. A Look at MyRocks Performance. Interested?

Database 40

Database Tuning Performance AWS 40

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Percona

JUNE 22, 2023

” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements. Depending on your setup, costs can include: Hardware devices (servers, storage devices, network switches, etc.)

Availability 107

Availability Database Open Source Hardware 107

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Another window into this question is provided by the Web Confluence Metrics project.

Media 145

Media Games Education Engineering 145

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics Performance culture, Core Web Vitals, performance profiles, CrUX, Lighthouse, FID, TTI, CLS, devices. Getting Ready: Planning And Metrics. DOM complete, time to first byte, first input delay, client CPU and memory usage. Get a free trial of LogRocket today.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

SEPTEMBER 2, 2020

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). Tracing as a foundation Logs, metrics, and traces are the three pillars of observability.

Latency 296

Latency Transportation Engineering Traffic 296

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. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52