Scalegrid

JANUARY 20, 2020

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. This extra cluster, known as a follower cluster, can be leveraged for multiple use cases, including for analyzing, optimizing and testing your application performance for MongoDB , MySQL and PostgreSQL.

Analytics 185

Analytics Storage Database Systems 185

Testsigma

DECEMBER 4, 2020

To ensure quality, mobile app testing is essential. In this blog, we will discuss a step-by-step mobile app testing checklist. This is where cross-platform testing comes into the picture. Since the mobile apps have limited storage space and power supply, test for memory utilization as well as battery usage.

Mobile 65

Mobile Testing Operating System Storage 65

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. minutes of downtime in one year. MongoDB Replica Sets.

Azure 187

Azure AWS Latency Database 187

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

Percona

MAY 9, 2023

Many MongoDB clusters use storage-level snapshots to provide fast and reliable backups. Background story I recently worked with a company running a large four-shard MongoDB Enterprise Server database cluster on VMs on premises that decided to migrate to the Google Cloud Platform.

Storage 107

Storage Cloud Servers Google 107

n0derunner

JULY 23, 2019

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. Over the subsequent minutes the transaction rate increases to ~30,000 TPS.

Benchmarking 76

Benchmarking Storage Tuning Cache 76

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). 2: Automate Quality aka “Performance as a Self-Service”. NGINX as an API Gateway. REDIS for caching.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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? This time though the metric is Database transactions per second not IOPS or Storage throughput. For our purposes we are going to use Postgres DB and the built-in benchmarking tool PGbench.

Performance 75

Performance Benchmarking Storage Database 75

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB. HammerDB difference from Sysbench. 10 rows in set (0.02

Best Practices 40

Best Practices Scalability Performance C++ 40

Adrian Cockcroft

JUNE 21, 2022

We had specializations in hardware, operating systems, databases, graphics, etc. Jim Mauro and Allan Packer visited on rotation from New Jersey, and Adelaide Australia, and worked out how to produce a database sizing guide for Oracle Financials, which I wrote up and published. Jim also joined the database performance team.

Tuning 52

Tuning Benchmarking Engineering C++ 52

n0derunner

SEPTEMBER 6, 2019

The vertica vioperf tool is used to determine whether the storage you are planning on using is fast enough to feed the vertica database. The amount of data written is simply the IO rate achieved by the storage * runtime. The vioperf tool runs on a linux host or VM and can be pointed at any filesystem just like fio or vdbench.

Storage 40

Storage Database Metrics Systems 40

Highly Scalable

APRIL 2, 2012

From the technical perspective, the following properties should be highlighted: All data is initially stored in the relational database, but this database is heavily loaded because it is a master record for many applications. Storage nodes are basically Coherence storage nodes. Pattern: Probabilistic Test.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Smashing Magazine

JANUARY 7, 2019

Testing And Monitoring. You can then mimic the 90th percentile’s experience for testing. Note : If you use Page Speed Insights (no, it isn’t deprecated), you can get CrUX performance data for specific pages instead of just the aggregates. Now you have something measurable to test against. Table Of Contents. Quick Wins.

Performance 103

Performance Cache Metrics Network 103

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. You can then mimic the 90th percentile’s experience for testing. Alternatively, you can also use Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing). Now you have something measurable to test against.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 214

Media Storage Processing Cache 214