Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Note that most of the changes we’ve introduced so far and those that are detailed below are all designed to be invisible to you, taking place entirely automatically in the background.

Best Practices 202

Best Practices Storage Java Benchmarking 202

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

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. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. 0.42 %sys 9.52

Performance 54

Performance Benchmarking Cache Storage 54

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. What is an example of a workload?

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

MARCH 14, 2023

Dawn Chenette , Design Lead This approach had several benefits for product engineering. At the same time, we kept the design open enough to allow future extensibility. During the query schema design, we accounted for future use cases and ensured that it will allow future extensions. Incredible!”

Media 291

Media Innovation Energy Architecture 291

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. 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

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100

AWS Entertainment Open Source Benchmarking 100

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. However, although these results are the gold standard of database benchmarking to do so, requires time, expertise and not insignificant cost.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring 95

Monitoring Scalability Cache Database 95

Particular Software

SEPTEMBER 20, 2021

Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. If you did such a benchmark, here’s an incomplete picture you might end up with: Graph of microbenchmark showing RPC is faster than messaging.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Old design (until Percona XtraBackup 8.0.33-27): New design (from Percona XtraBackup 8.0.33-28) This search tuple (key) is used to find the record to perform the undo operation.

Cache 83

Cache Benchmarking Servers Design 83

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. The design space. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

JULY 1, 2023

With its support for MySQL and PostgreSQL, and its automated replication and backup capabilities, it’s designed to deliver high performance, scalability, and availability to meet the needs of mission-critical applications. This eliminates the need for complex or scripted backup procedures and designated backup windows.

AWS 52

AWS Database Serverless Storage 52

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. Microsoft currently has eight main types of virtual machines designed for different types of workloads. Azure VM Types and Series.

Azure 72

Azure Virtualization Servers Storage 72

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

Percona

JUNE 22, 2023

Typically, the servers are configured in a primary/replica configuration, with one server designated as the primary server that handles all incoming requests and the others designated as replica servers that monitor the primary and take over its workload if it fails. This flexibility can be crucial in designing a scalable architecture.

Availability 104

Availability Database Open Source Hardware 104

Percona

JANUARY 19, 2023

Make sure you design the data types correctly while planning for the future growth of the table. It can help us to save costs on storage and backup times. MyRocks: MyRocks is a storage engine developed by Facebook and made open source. It was developed for optimizing data storage and access for big data sets.

Open Source 85

Open Source Storage Database Big Data 85

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. If you don’t have well-designed and small columns for this composite primary key, it could enlarge all of your secondary indexes. These benefits collectively contribute to a more efficient database environment.

Strategy 40

Strategy Storage Database Best Practices 40

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

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. But this comes with a considerable performance implication.

Database 114

Database Benchmarking Open Source Latency 114

The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 163

Testing AWS Lambda Network 163

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. I wrote about using CPU-Z to benchmark the Intel Xeon E5-2673 v3 processor in an Azure VM in this article. Figure 1: CPU-Z Benchmark Results for LS16v2. Memory (GiB).

Azure 42

Azure Virtualization Storage Benchmarking 42

Percona

SEPTEMBER 1, 2023

These issues often arise from suboptimal query design, missing or ineffective indexes, or dealing with large datasets. Inefficient query design, such as utilizing SELECT * instead of specifying necessary columns, can escalate data transfer and processing overhead. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. 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

Such a design rules out an entire class of application errors, protecting private data from accidentally leaking. Although state-of-the-are databases have security features designed for exactly this purpose, such as row-level access policies and grants of views, these features are too limiting for many web applications.

Database 90

Database Cache Benchmarking Efficiency 90

The Morning Paper

SEPTEMBER 15, 2019

In designing a blockchain-friendly provenance mechanism, three aspects unique to the blockchain environment differentiate the problem from that of traditional database provenance: There are no higher-order data operators (e.g. The deployment fee should reflect this extra storage cost for DASL… Implementation and evaluation.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. On design systems, UX, web performance and CSS/JS. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. It is important to note how much data the client needs to download.

Cache 125

Cache Performance Servers Social Media 125

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. Architecture for fault-tolerant systems Fault-tolerant information systems are designed to offer 100% availability.

Availability 77

Availability Hardware Open Source Database 77

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

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). Our design needed to scale and be adaptable to the modern hardware on the market.

Availability 40

Availability Servers Hardware Benchmarking 40

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. Chrome has missed several APIs for 3+ years: Storage Access API.

Media 145

Media Games Education Engineering 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

CSS - Tricks

JUNE 5, 2020

The HBO sitcom Silicon Valley hilariously followed Pied Piper, a team of developers with startup dreams to create a compression algorithm so powerful that high-quality streaming and file storage concerns would become a thing of the past. In my benchmarks, Brotli:11 takes several hundred milliseconds to compress a single minified jQuery file.

Cache 79

Cache Website Servers Open Source 79

All Things Distributed

NOVEMBER 19, 2010

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. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. or rss feed.

AWS 68

AWS Cloud Benchmarking Storage 68

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow. Time required to read bytes from disk (it’s not zero, even on flash-based storage!).

Performance 68

Performance Benchmarking Network Mobile 68