Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.

AWS 183

AWS Latency Performance Performance Testing 183

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. 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

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. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

NOVEMBER 26, 2020

In fact, it is the number one key value store and eighth most popular database in the world. Redis is an advanced key-value store. It has high throughput and runs from memory, but also has the ability to persist data on disk. Redis is a great caching solution for highly demanding applications, and there are […].

Cache 130

Cache Azure Benchmarking Performance 130

HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

Benchmarking 63

Benchmarking Database Network C++ 63

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Grafana database backend: Prometheus version 2.15.2+d A script executing a benchmarking run: #!/bin/bash

Benchmarking 127

Benchmarking Metrics C++ Database 127

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. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

High Scalability

OCTOBER 29, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.

AWS 133

AWS Latency Performance Open Source 133

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So what jumps out immediately here is the comment “The single-threaded PostgreSQL 12 performance was most surprising.” hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 104

AWS Benchmarking Performance Traffic 104

Scalegrid

MARCH 28, 2024

Benchmarking Cache Speed Memcached is optimized for high read and write loads, making it highly efficient for rapid data access in a basic key-value store. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Managed Database-as-a-Service (DBaaS) solutions like ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

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 That’s a heritage of the LAMP model when the same server would host both the database and the web server. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 139

Tuning Cache Servers Benchmarking 139

The Morning Paper

NOVEMBER 8, 2020

The initial version of Delos went into production after eight months using a ZooKeeper-backed Loglet implementation, and then four months later it was swapped out for a new custom-built NativeLoglet that gave a 10x improvement in end-to-end latency. For Facebook’s Delos, reconfiguration latencies of 10s of ms are ok.

Virtualization 126

Virtualization Latency Storage Systems 126

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

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. 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. Messaging doesn’t do that.

Benchmarking 97

Benchmarking Latency Servers Systems 97

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 109

Performance Monitoring Traffic Database 109

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide.

Performance 130

Performance Hardware Tuning Storage 130

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. With ScaleGrid, users can effortlessly deploy hosting services for databases such as MySQL, PostgreSQL, Redis, MongoDB, and Greenplum Database.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

JANUARY 24, 2023

Such “torn pages” are corruptions from the database point of view. This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. Individual processes generate WAL records, and latency is very crucial for transactions. This is generally referred to as “ partial page writes ” or “ torn pages.”

Database 121

Database Benchmarking Open Source Latency 121

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. I've shared many posts about superpower observability tools, but often humble hacking is just as effective. These can be invisible to top(8).

Speed 103

Speed Java AWS Virtualization 103

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions? Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems.

Strategy 130

Strategy Cloud Government Innovation 130

Percona

MARCH 20, 2023

In short, each cluster is, in reality, a single database with high availability and other functionalities built in. Let us take a look also the latency: Here the situation starts to be a little bit more complicated. MySQL Router is the one that has the higher latency no matter what. Anyhow, we are here to talk about Proxies.

Games 126

Games Latency Traffic Cache 126

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Speed Curve

FEBRUARY 5, 2024

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 60

Servers Cache Retail Benchmarking 60

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time. Caching Schemes. Large preview ).

Cache 128

Cache Performance Servers Social Media 128

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

Architecture 76

Architecture Cloud Storage Serverless 76

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. Oracle Log File Sync.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Alex Russell

MARCH 6, 2021

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. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. Today, either method returns a similar answer.

Performance 127

Performance Network Mobile Metrics 127

n0derunner

SEPTEMBER 17, 2018

Creating a HCI benchmark to simulate multi-tennent workloads. It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. In such a case we have a Bandwidth heavy workload profile (reporting) sharing with a Latency Sensitive workload (transactional). Time based benchmark actions.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Amazon DynamoDB â??

AWS 62

AWS Cloud Benchmarking Storage 62

Speed Curve

SEPTEMBER 4, 2013

Bandwidth, latency and it's fundamental impact on the speed of the web. An overview of tools for measuring performance, uptime monitoring, real user monitoring and performance benchmarking. Competitive Benchmarking SpeedCurve. The network constraints and what makes the web slow? How to make your website faster.

Speed 40

Speed Benchmarking Mobile Website 40

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.

Performance 99

Performance Latency Metrics Engineering 99

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. All modern browsers are fast, Chromium and Safari/WebKit included. Offscreen Canvas.

Media 145

Media Games Education Engineering 145

HammerDB

JULY 6, 2024

HammerDB also runs natively on Windows and Linux with GUI, CLI and Web interfaces on multiple databases, but in this case the example will be on MariaDB on Linux with the CLI. Throughput: events/s (eps): 8162.5668 time elapsed: 300.0356s total number of events: 2449061 Latency (ms): min: 0.35 485784 MariaDB tpm CPU all usr%-17.87

C++ 52

C++ Hardware Benchmarking Virtualization 52

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure. I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. I've shared many posts about superpower observability tools, but often humble hacking is just as effective. These can be invisible to top(8).

Speed 52

Speed Java AWS Virtualization 52