Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. High performance. Does it affect latency? Yes, you can see an increase in latency.

Azure 344

Azure AWS Database Latency 344

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. Block compression can improve performance by allowing data to be read and written in smaller chunks.

Storage 111

Storage Network Open Source Latency 111

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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!

Performance 110

Performance Latency Cache Virtualization 110

Percona

NOVEMBER 3, 2023

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. Repeating the benchmark once again demonstrates that performance has degraded somewhat.

Database 107

Database Benchmarking Latency C++ 107

Percona

JULY 17, 2023

DBAs and developers appreciate its combination of flexibility, scalability, and performance. Not really open source : Even the MongoDB Community version is not open source; it’s source-available and is under the SSPL license (introduced by MongoDB itself).

Open Source 77

Open Source Database Scalability Software 77

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.

Performance 52

Performance Latency Hardware Storage 52

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

DECEMBER 22, 2021

With observability, teams can understand what part of a system is performing poorly and how to correct the problem. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. The key is knowing what is the root cause of the performance issue.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

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!

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. What’s most impressive is that you’re not compromising performance for cost. One of the reasons MongoDB performs so well on DigitalOcean is because of their SSD disks, which are ideal for cloud database deployments. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Percona

DECEMBER 26, 2023

pg_stat_monitor About pg_stat_monitor is a Query Performance Monitoring tool for PostgreSQL. It collects various statistics data such as query statistics, query plan, SQL comments, and other performance insights. This allows a user to drill down into the performance of queries. tps, lat 11.718 ms stddev 3.951 progress: 4440.0

Benchmarking 124

Benchmarking Metrics C++ Database 124

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 2021. This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Web performance is a tricky beast, isn’t it?

Performance 145

Performance Cache Media Metrics 145

Percona

JANUARY 24, 2023

The performance penalty of Full Page Writes As mentioned above, when the database page is modified for the first time after a checkpoint, that needs to be safely written to WAL as the trustable reference. But this comes with a considerable performance implication. But this comes with a considerable performance implication.

Database 118

Database Benchmarking Open Source Latency 118

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better. Why is that?

Tuning 137

Tuning Cache Servers Benchmarking 137

Percona

MAY 2, 2023

Also, we will take a look at our open-source backup utility custom-built to help avoid costs and proprietary software – Percona Backup for MongoDB or PBM. PBM is a fully-supported community backup tool capable of performing cluster-side consistent backups in MongoDB for replica sets and sharded clusters.

Best Practices 52

Best Practices Database Storage Servers 52

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Aurora Features High Performance and Scalability Amazon Aurora has gained widespread recognition for its exceptional performance and scalability, making it an ideal solution for handling demanding workloads.

AWS 52

AWS Database Serverless Storage 52

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The CFQ works well for many general use cases but lacks latency guarantees. The goal is to reduce memory usage without impacting query performance negatively.

Best Practices 52

Best Practices Design Tuning Database 52

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. So to test I took a system with Skylake CPUs and all storage on a P4800X SSD. In the recent MySQL 8.0.16

Testing 48

Testing Tuning Latency Storage 48

Smashing Magazine

JANUARY 6, 2020

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

The Morning Paper

MARCH 10, 2020

So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads. This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). overall performance comparable to bare metal. The good news is all of these challenges including performance can be tackled and in several cases, there are new developments to overcome them. Performance. Storage provisioning. Native frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Smashing Magazine

JANUARY 7, 2019

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 103

Performance Cache Metrics Network 103

HammerDB

DECEMBER 5, 2020

Additionally both commercial and open source tools based on the specifications also continued to use TPC-C and TPC-H to describe these workloads. In the days before highly performant SSDs and persistent memory, database benchmarks had a significant challenge in comparing performance due to the available I/O performance.

C++ 40

C++ Benchmarking Virtualization Open Source 40

The Morning Paper

SEPTEMBER 5, 2019

For response times (latencies) reporting a simple metric such as ‘average’ is next to useless. Instead we want to understand what’s happening at different latency percentiles (e.g A characteristic of latency distributions is that they have a long tail. Why do we need a new sketch? At the 50th percentile, an accuracy within 0.5%

Latency 52

Latency Metrics Open Source Java 52

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Contractors that don’t want to pay publishers?

Blockchain 94

Blockchain Internet Internet IoT 94

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. In the MySQL open source ecosystem, we have only two consolidated ways to perform sharding — Vitess and ProxySQL.

Traffic 125

Traffic Scalability Database Servers 125

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. Pipeline reliability and performance go hand in hand. If tuned for performance, there is a good change reliability is compromised - and vice versa.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

MAY 28, 2019

The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. Together this set of four operations allow us to deliberately engineer “race conditions” in a circuit to perform computation at low energy.

Energy 52

Energy Hardware Efficiency Architecture 52

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! Apple Corporate is at fault, not Open Source engineers or the line managers who support them. Safari has many good features, and in an open marketplace, choosing it (or not) is entirely reasonable. The Performance Argument. This is as it should be.

Media 145

Media Games Education Engineering 145

High Scalability

SEPTEMBER 8, 2018

You get all the multicore Anna performance you want, but you don’t pay for what you don’t need. Just to throw out some numbers, we measured Anna providing 355x the performance of DynamoDB for the dollar. Each storage server collects statistics about the requests it serves, the data it stores, etc.

Storage 199

Storage Performance AWS Efficiency 199

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Consider how controls could degrade over time, including change management, performance audits and how incident reviews could surface anomalies and problems with the system design.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Consider how controls could degrade over time, including change management, performance audits and how incident reviews could surface anomalies and problems with the system design.

Latency 53

Latency Engineering Systems Hardware 53