Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine.

Monitoring 101

Monitoring Scalability Cache Database 101

Percona

MARCH 23, 2023

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. Transparent huge pages (THP) disabled.

Performance 126

Performance Hardware Tuning Storage 126

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

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. 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

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100

AWS Entertainment Open Source Benchmarking 100

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

The Morning Paper

AUGUST 29, 2019

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. Query restrictions. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

Scalegrid

JULY 13, 2020

Scalability. PostgreSQL offers free scalability, and can scale up to millions of transactions per seconds. Oracle Enterprise is recommended for high workloads which are highly scalable, but costly. pg_repack – reorganizes tables online to reclaim storage. PostgreSQL.

Open Source 244

Open Source Tuning C++ Database 244

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. . This is to be expected and is due to the limitations of the scalability of the storage engine.

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

SEPTEMBER 1, 2023

Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This scalability ensures that your applications can grow in tandem with your business or user demands, maintaining a high level of operational efficiency.

Tuning 52

Tuning Database Performance Hardware 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. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

Percona

JUNE 22, 2023

It also supports the flexibility and scalability of the database infrastructure. ” 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. Networking equipment (switches, routers, etc.)

Availability 109

Availability Database Open Source Hardware 109

HammerDB

DECEMBER 5, 2020

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. more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

SQL Performance

AUGUST 27, 2019

The initial reviews and benchmarks for these processors have been very impressive: AMD EPYC 7002 Series Rome Delivers a Knockout. AMD Rome Second Generation EPYC Review: 2x 64-core Benchmarked. TPC-H Benchmark Results with SQL Server 2017. TPC-E Benchmark Results with SQL Server 2017. Conclusion.

Servers 52

Servers Benchmarking Virtualization Architecture 52

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52

Tuning Efficiency Database Performance 52

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). A recent performance benchmark completed by Intel and BlueData using the BigBench benchmarking kit has shown that the performance ratios for container-based Hadoop workloads on BlueData EPIC are equal to and in some cases, better than bare-metal Hadoop [7].

Big Data 63

Big Data Storage Benchmarking Hardware 63

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. Paul Reithmuller was yet another imported Australian engineer who did amazing work.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance. You want to ensure that table lookups go to the correct partition or group of partitions.

Strategy 40

Strategy Storage Database Best Practices 40

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. However, some caveats regarding performance, scalability, and potential data conflicts exist. Large preview ).

Cache 125

Cache Performance Servers Social Media 125

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Morning Paper

JUNE 16, 2019

If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. Specifically, scalable, parallel streaming dataflow computing systems now support partially-stateful and dynamically-changing dataflows. It runs to about 2,000 lines of Rust.

Database 90

Database Cache Benchmarking Efficiency 90

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). This chart shows our scaled results using a OLTP workload derived from TPC benchmarks.

Availability 40

Availability Servers Hardware Benchmarking 40

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There was an excellent first benchmarking report of the Cluster GPU Instances by the folks at Cycle Computing - " A Couple More Nails in the Coffin of the Private Compute Cluster " The Top500 supercomputer list. All Things Distributed. Comments ().

AWS 68

AWS Cloud Benchmarking Storage 68

Percona

AUGUST 22, 2023

Error detection and correction: Techniques such as checksums, parity bits, and error-correcting codes are used to detect and correct errors that might occur during data transmission or storage. It’s plenty available and plenty scalable. This ensures that data remains consistent and accurate even in the presence of errors.

Availability 80

Availability Hardware Open Source Database 80

High Scalability

APRIL 3, 2019

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.

Database 177

Database Cloud Open Source Systems 177

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

The Netflix TechBlog

MARCH 14, 2023

The primary searcher used in the current implementation is called Marken  — scalable annotation service built at Netflix. This service leverages Cassandra and Elasticsearch for data storage and retrieval. When onboarding embedding vector data we performed an extensive benchmarking to evaluate the available datastores.

Media 291

Media Innovation Energy Architecture 291

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

Smashing Magazine

JANUARY 6, 2020

Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. Representational State Transfer ( REST ) is a well-established, logical choice: it defines a set of constraints that developers follow to make content accessible in a performant, reliable and scalable fashion.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. Representational State Transfer ( REST ) is a well-established, logical choice: it defines a set of constraints that developers follow to make content accessible in a performant, reliable and scalable fashion. compared to early 2015.

Performance 145

Performance Cache Media Metrics 145

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