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

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

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? That’s a heritage of the LAMP model when the same server would host both the database and the web server.

Tuning 133

Tuning Cache Servers Benchmarking 133

n0derunner

JUNE 28, 2019

In this example we run pgbench with a scale factor of 1000 which equates to a database size of around 15GB. As expected the write pattern to the log disk (sda) is quite constant, while the write pattern to the database files (sdb) is bursty. I had to tune the parameter checkpoint_completion_target from 0.5

Benchmarking 40

Benchmarking Tuning Cache Database 40

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013. Not available.

Open Source 244

Open Source Tuning C++ Database 244

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

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 now lets see what we get in performance mode, an almost 32% improvement (and 53% higher than the published benchmarks). ./bin/pgbench

Benchmarking 63

Benchmarking Performance Hardware C++ 63

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. TB)) for storage of database tablespaces and logging.

Performance 54

Performance Benchmarking Cache Storage 54

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 123

Performance Hardware Tuning Storage 123

Dynatrace

FEBRUARY 10, 2022

This also means we do not rely on vulnerability databases but are able to identify and block such attacks automatically even if they are exploiting unknown weaknesses. A perfect OWASP benchmark score for injection attacks – 100% accuracy and zero false positives – impressively proves the precision of our approach. How to get started.

Traffic 233

Traffic Benchmarking Innovation Java 233

Scalegrid

MARCH 22, 2024

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. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Government Innovation 130

HammerDB

OCTOBER 18, 2018

An essential part of database performance testing is viewing the statistics generated by the database during the test and in 2009 HammerDB introduced automatic AWR snapshot generation for Oracle for the TPC-C test. With this feature Oracle generates a wealth of performance data that can be reviewed once the test is complete.

Benchmarking 40

Benchmarking Monitoring Performance C++ 40

Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

n0derunner

JULY 23, 2019

In this video I migrate a Postgres DB running PGbench benchmark. The variation in the transaction rate is due to the benchmark itself, the transaction rate is not expected to be uniform. The Postgres DB is totally un-tuned and contains purely default settings. The DB is running on a Host which is CPU constrained.

Benchmarking 76

Benchmarking Storage Tuning Cache 76

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

MARCH 27, 2023

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. Results for Percona Server for MySQL 8.0

Cache 99

Cache Hardware Servers Benchmarking 99

Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. While many AWS users default to their managed database solution, Amazon RDS, there are alternatives available that can improve your MySQL performance on AWS through advanced customization options and unlimited EC2 instance type support.

AWS 183

AWS Latency Performance Benchmarking 183

High Scalability

AUGUST 24, 2021

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. The geolocation database or API detects location, proxy and other >20 parameters.

Education 100

Education DevOps Infrastructure Benchmarking 100

High Scalability

OCTOBER 27, 2021

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. The geolocation database or API detects location, proxy and other >20 parameters.

Education 100

Education DevOps Infrastructure Benchmarking 100

High Scalability

SEPTEMBER 29, 2021

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. The geolocation database or API detects location, proxy and other >20 parameters.

Education 100

Education DevOps Infrastructure Benchmarking 100

High Scalability

SEPTEMBER 15, 2021

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. The geolocation database or API detects location, proxy and other >20 parameters.

Education 100

Education DevOps Infrastructure Benchmarking 100

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

Dynatrace

APRIL 8, 2021

When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements. Top enterprise use-cases for AWS Lambda.

Lambda 221

Lambda AWS Serverless Monitoring 221

Percona

OCTOBER 12, 2023

Manual flame graphs collection Although the tool is excellent and automatically provides flame graphs, we don’t have much control over tuning the selected profiler. A simple sysbench benchmark on MySQL shows an overhead between six and 10 percent on CPU-bound systems when running perf with the default sampling frequency of 4000 Hz.

Code 108

Code Tuning C++ Benchmarking 108

Dynatrace

APRIL 8, 2021

When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements. Top enterprise use-cases for AWS Lambda.

Lambda 182

Lambda AWS Serverless Monitoring 182

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

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. Is MongoDB an open source NoSQL database?

Open Source 79

Open Source Programming Database Servers 79

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). include <sys/time.h>

Speed 126

Speed Java AWS Virtualization 126

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. Some of them are: MySQL Cluster: MySQL NDB Cluster is an in-memory database clustering solution developed by Oracle for MySQL.

Open Source 86

Open Source Storage Database Big Data 86

The Netflix TechBlog

OCTOBER 19, 2020

Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. In 2019 our stunning colleagues in the Cloud Database Engineering (CDE) team benchmarked EBS performance for our use case and migrated existing clusters to use EBS Elastic volumes.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

AUGUST 30, 2018

One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. 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.

Benchmarking 46

Benchmarking Database Operating System Architecture 46

Percona

AUGUST 5, 2023

Partitioning is a way in which a database (MySQL in this case) splits its actual data down into separate tables but still gets treated as a single table by the SQL layer. As the data is distributed into smaller partitions, the database engine only needs to scan relevant partitions, leading to faster query responses.

Strategy 40

Strategy Storage Database Best Practices 40

Brendan Gregg

FEBRUARY 9, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Much of my testing was on Linux 4.14.11

Performance 75

Performance Benchmarking Cache Tuning 75

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. SQL Injection involves inserting malicious SQL queries into an input field, tricking the database into revealing sensitive information.Imagine a login page. Let's dive deep into these challenges.‍1.

Traffic 52

Traffic Network Logistics Architecture 52

n0derunner

MARCH 7, 2019

I use the “built in” benchmark pgbench to run a simple set of queries. pgbench creates a ~7.4gb database using a scale-factor of 500. For this experiment I am using Postgres v11 on Linux 3.10 The goal was to see what gains can be made from using hugepages. Experiment. shared_buffers = 16384MB. pgbench -i -s 500.

Performance 40

Performance Benchmarking C++ Virtualization 40

Brendan Gregg

FEBRUARY 8, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Much of my testing was on Linux 4.14.11

Performance 40

Performance Benchmarking Cache Tuning 40