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 101

Monitoring Scalability Cache Database 101

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 203

Infrastructure Monitoring Virtualization Serverless 203

Brendan Gregg

MAY 22, 2021

Imagine "observable metrics": Are there metrics that _aren't_ observable? Means: What tools exist that only read state?) - What observability does that database have? Means: What metrics and logs does it have?) - Let me try some observability first. For example, benchmarks. A car's 0-60 mph time is an _experiment_.

Benchmarking 117

Benchmarking Metrics Speed Database 117

HammerDB

APRIL 4, 2023

Hammerpost is a HammerDB contribution project from @dineshkumar02 that wraps HammerDB with an automated framework to rapidly prototype multiple combinations of database parameters to find the optimal configuration for any specific environment. Firstly, we will check that we can start our database. remote: Enumerating objects: 38, done.

Benchmarking 84

Benchmarking Database Metrics Code 84

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

HammerDB

DECEMBER 20, 2018

The reason for reporting both TPM and NOPM performance metrics is for both historical and performance reasons. However as other databases were added they all record TPM in a slightly different way so it wasn’t possible to compare TPM between different database for example Oracle and SQL Server. Therefore NOPM was added.

Metrics 40

Metrics Performance Benchmarking Database 40

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

MachMetrics

DECEMBER 14, 2019

Similar to our article Average Page Load Times for 2018 , we’ll go over the averages for metrics and help you determine if your site is faster or slower than average. As you know, there are many metrics that determine a website’s page speed, and we can’t look at just one of them to determine how performant our site is.

Best Practices 105

Best Practices Speed Mobile Google 105

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Brendan Gregg

MAY 22, 2021

Imagine "observable metrics": Are there metrics that _aren't_ observable? Means: What tools exist that only read state?) - What observability does that database have? Means: What metrics and logs does it have?) - How do you do observability? For example, benchmarks. A car's 0-60 mph time is an _experiment_.

Benchmarking 40

Benchmarking Metrics Speed Database 40

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

n0derunner

MAY 27, 2022

The performance compares very well with hosted cloud database instances using the same class of processor (db.r5.4xlarge in the figure below). The metrics below are for SQL insert transactions not the … The post Single threaded DB performance on Nutanix HCI appeared first on n0derunner.

Performance 52

Performance Metrics Database Cloud 52

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 110

Availability Database Open Source Hardware 110

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.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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

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 234

Architecture Artificial Intelligence Cloud Open Source 234

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

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? Sysbench ran on a third server, which I’ll refer to as the application server (APP). Are these results good enough?

Tuning 138

Tuning Cache Servers Benchmarking 138

HammerDB

DECEMBER 9, 2020

This means that the performance metrics reported in NOPM/TPM could be different from previous releases as well as the ratio between NOPM and TPM for these workloads. may not be directly comparable with the results from previous releases for your database. Although a similar metric to tpmC it is not considered to be directly comparable.

C++ 52

C++ Benchmarking Metrics Database 52

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. Logging Waits.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Percona

SEPTEMBER 1, 2023

MySQL server performance can sometimes be perplexing, and if you’ve ever wondered about the role of triggers in influencing your MySQL server’s memory allocation, this post is for you. A Trigger in MySQL is a database object that plays a pivotal role in database management. What is a Trigger in MySQL?

Cache 63

Cache Database Games Healthcare 63

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. Then follow the instructions to either download the BOL or browse online.

Servers 40

Servers Cache Media Hardware 40

HammerDB

NOVEMBER 30, 2018

However if you have downloaded the source code and are looking to add features or make modifications such as adding new databases you may be wondering once you have the source code where to start. However HammerDB will not be able to connect to a database yet and the librarycheck command included with the CLI gives an indication why.

Architecture 40

Architecture Virtualization Open Source C++ 40

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O.

Performance 75

Performance Benchmarking Cache Tuning 75

KeyCDN

AUGUST 29, 2019

While these metrics can be very helpful it is also important to keep this data in perspective. Take these statistics from Google’s industry benchmarks for mobile page speed guide: We’ve said it before but it’s worth reiterating that as web page load times increase, so does the likelihood of your visitors. location ~*.(js|css|png|jpg|svg|jpeg|gif|ico)$

Google 103

Google Cache Speed Analytics 103

Alex Russell

MAY 9, 2022

Teams I've consulted are too often wrenched between celebration over "the big rewrite" launch and the morning-after realisation that the new stack is tanking business metrics. Competent managers will begin to look for more general "industry standard" baseline metrics to report against their data. Photo by Jay Heike.

Performance 86

Performance Latency Metrics Engineering 86

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. Since then, the metrics conversation has moved forward significantly, culminating in Core Web Vitals , reported via the Chrome User Experience Report to reflect the real-world experiences of users. Today, either method returns a similar answer.

Performance 124

Performance Network Cache Metrics 124

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 107

Database Benchmarking Latency C++ 107

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O.

Performance 40

Performance Benchmarking Cache Tuning 40

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

Application Servers. Apache FTP server. Native desktop and server hosted clients that allow both interactive as well as hybrid sync access to the entire namespace. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Egnyte Connect Tech Stack. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52