n0derunner

DECEMBER 22, 2020

With help from the Nutanix X-Ray team I have created an IO “benchmark” which simulates a “General Server Virtualization” workload. The post A Generalized workload generator for storage IO appeared first on n0derunner.

Storage 52

Storage Benchmarking Virtualization Servers 52

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 103

AWS Benchmarking Performance Traffic 103

The Morning Paper

MARCH 10, 2020

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. 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.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Scalegrid

JUNE 4, 2020

On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. PostgreSQL Benchmark Setup. Here is the configuration we used for the ScaleGrid and DigitalOcean benchmark performance tests highlighted above: Configuration. Benchmark Tool. Compare Pricing. Deployment Type.

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

JANUARY 4, 2024

It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Fragmented and siloed data storage can create inconsistencies and redundancies.

Government 213

Government Analytics Benchmarking Storage 213

Brendan Gregg

JUNE 30, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 47

Benchmarking Latency Cache Network 47

n0derunner

JULY 1, 2022

I was recently asked to investigate why Nutanix storage was not as fast as a competing solution in a PoC environment. One thing that seemed really odd was that the working set size for the tests were in the order of … The post Beware of tiny working-set-sizes when testing storage performance. appeared first on n0derunner.

Storage 52

Storage Testing Performance Benchmarking 52

Brendan Gregg

JUNE 29, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

Scalegrid

JUNE 9, 2020

ScaleGrid’s MySQL, PostgreSQL and Redis™ solutions on DigitalOcean are competitively priced starting at just $15/GB, the same as DigitalOcean’s Managed Database solution, but offer on average 30% more storage for the same price.

Availability 227

Availability Open Source Benchmarking Database 227

Percona

DECEMBER 26, 2023

Querying the data While it is reasonable to create panels showing real-time load in order to explore better the types of queries that can be run against pg_stat_monitor, it is more practical to copy and query the data into tables after the benchmarking has completed its run. A script executing a benchmarking run: #!/bin/bash

Benchmarking 126

Benchmarking Metrics C++ Database 126

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

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. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 110

Database Benchmarking Latency C++ 110

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 214

Infrastructure Monitoring Virtualization Serverless 214

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. Redis Database Management with ScaleGrid ScaleGrid.io

Cache 130

Cache Storage Architecture Scalability 130

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

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 236

Infrastructure Transportation Storage Open Source 236

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 210

Best Practices Storage Java Benchmarking 210

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Storage optimized – High disk throughput and IO. and the overall size will determine the amount of temporary storage available. Premium storage support. VM Types and Sizes. VM Image Options. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

SQL Shack

SEPTEMBER 9, 2019

This option is available in index properties to manage data storage in the data pages. Index Fill factor SQL Server Index Fill Factor is a percentage value to be filled data page with data in SQL Server. It […].

Servers 56

Servers Benchmarking Performance Storage 56

n0derunner

OCTOBER 5, 2020

How to speed up your X-ray benchmark development cycle by re-using/re-cycling benchmark VMs and more importantly data-sets. Assuming we have enough storage bandwidth, the throughput. Problem: For large datasets, creating the data on-disk can be time consuming.

Benchmarking 52

Benchmarking Storage Speed Development 52

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

n0derunner

JULY 23, 2019

In this video I migrate a Postgres DB running PGbench benchmark. As the DB continues to run on the new host – the Nutanix storage detects the access patterns and “localizes” the data that the DB is accessing. Many different queries are executing in parallel, some hitting RAM cache, some hitting storage.

Benchmarking 76

Benchmarking Storage Cache Tuning 76

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 129

Performance Hardware Tuning Storage 129

Scalegrid

JANUARY 25, 2024

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. It depends upon your application workload and its business logic.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

DECEMBER 6, 2023

Self-managed databases come with their own set of expenses that must be factored in – managing a database requires time and effort which often includes backup storage, patching software upgrades as well as other typical administration tasks. Advantages of DBaaS Database management with DBaaS is like being on a luxury cruise.

Database 130

Database Cloud Hardware Storage 130

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

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. Conclusion.

Storage 56

Storage Cache C++ Virtualization 56

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

n0derunner

MAY 6, 2019

A 2007 paper, that still has lots to say on the subject of benchmarking storage and filesystems. Primarily aimed at researchers and developers, but is relevant to anyone about to embark on a benchmarking effort. A Nine year study of filesystem and storage benchmarking Download. The post New (Old) Paper.

Benchmarking 40

Benchmarking Storage Cache Testing 40

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

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 105

Monitoring Scalability Cache Database 105

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. System initialisation time.

Architecture 76

Architecture Cloud Storage Serverless 76

Particular Software

OCTOBER 26, 2020

If you are already using Cosmos DB to store your business data, you no longer need to use a different storage technology to store your NServiceBus saga data. How does this compare with Azure Storage Persistence? For a scenario of 1,000 sagas, we’ve seen a 30% performance increase using Cosmos DB over Table Storage.

Azure 52

Azure Storage Benchmarking Latency 52

The Netflix TechBlog

MARCH 14, 2023

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. It can store and retrieve temporal (timestamp) as well as spatial (coordinates) data.

Media 296

Media Innovation Energy Architecture 296

Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 109

Performance Monitoring Traffic Database 109

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