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.

Storage 52

Storage Testing Performance Benchmarking 52

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 102

Performance Monitoring Traffic Database 102

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

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

Brendan Gregg

JUNE 30, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. They are: **Performance mantras**. These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Don't do it. Do it less.

Benchmarking 54

Benchmarking Latency Cache Network 54

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

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.

Benchmarking 119

Benchmarking Metrics C++ Database 119

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 102

Database Benchmarking Latency C++ 102

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Storage is a critical aspect to consider when working with cloud workloads. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Brendan Gregg

JUNE 29, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. They are: **Performance mantras**. These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Don't do it. Do it less.

Benchmarking 40

Benchmarking Latency Cache Network 40

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

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 205

Infrastructure Monitoring Virtualization Serverless 205

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

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 […].

Benchmarking 56

Benchmarking Servers Performance Storage 56

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldn’t be stingy. On your first try, you can use it as a benchmark for optimizations later. On design systems, UX, web performance and CSS/JS.

Cache 125

Cache Performance Servers Social Media 125

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

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

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

MAY 1, 2023

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Deployment performs the whole rollout, instrumentation, configuration, connection, and automatic detection of monitored entities in your environment. Dynatrace news.

Best Practices 202

Best Practices Storage Java Benchmarking 202

n0derunner

DECEMBER 17, 2018

During.Next 2018 in London, Nutanix announced performance improvements in the core-datapath said to give up to 2X performance improvements. bssplit=64k/20:128k/20:256k/20:512k/20:1m/20 Normally storage benchmarks using large IO sizes are performed serially, because it’s easier on the storage back-end.

Performance 64

Performance Benchmarking Storage Network 64

Scalegrid

DECEMBER 6, 2023

Accessing underlying software associated with self-managed databases will ultimately help streamline performance while also providing improved levels of safety for any given organization utilizing them. The Hidden Costs of Independence Owning your database can be exciting, but the costs of such independence may not be worthwhile.

Database 130

Database Cloud Hardware Storage 130

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. High performance compute – Fastest and most powerful CPU virtual machines. and the overall size will determine the amount of temporary storage available.

Azure 76

Azure Benchmarking Storage Virtualization 76

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

Performance 124

Performance Network Cache Metrics 124

The Netflix TechBlog

MARCH 14, 2023

In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience. Users have flexibility to perform multimodal search with input being a simple text term, image or short video. This service leverages Cassandra and Elasticsearch for data storage and retrieval.

Media 291

Media Innovation Energy Architecture 291

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

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. MyRocks Vs InnoDB.

Storage 55

Storage Cache C++ Virtualization 55

n0derunner

SEPTEMBER 17, 2018

Creating a HCI benchmark to simulate multi-tennent workloads. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Derived Workloads.

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. 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.

Monitoring 95

Monitoring Scalability Cache Database 95

n0derunner

NOVEMBER 24, 2021

I have worked for Nutanix in the performance engineering group since 2013. My opinions are likely biased, but that also gives me a decent amount of context when it comes to the performance of Nutanix storage over time. Full disclosure.

Database 52

Database Performance Storage Engineering 52

n0derunner

NOVEMBER 24, 2021

I have worked for Nutanix in the performance engineering group since 2013. My opinions are likely biased, but that also gives me a decent amount of context when it comes to the performance of Nutanix storage over time. Full disclosure.

Database 52

Database Performance Storage Engineering 52

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 on CentOS 7, both of them spec’d with four vCPUs but with the second one (server B) having a tad over twice as much memory than the reference one (server A).

Tuning 133

Tuning Cache Servers Benchmarking 133

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. For high performance OLTP SQL Server workloads, the memory optimized type of Azure VMs is usually the best choice.

Azure 72

Azure Virtualization Servers Storage 72

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. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. in the TPC-H Benchmark Standard for details of the queries). Query performance.

Architecture 76

Architecture Cloud Storage Serverless 76

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