Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

MAY 4, 2023

This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations.

Traffic 339

Traffic Latency Tuning Systems 339

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 The throughput didn’t double but increased by 57%.

Tuning 135

Tuning Cache Servers Benchmarking 135

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Initializing a DD engine and the cache adds complexity and other server dependencies. ibd in the test directory. For example, mysql datadir/test/t1.ibd. ibd > t1.sdi

Cache 85

Cache Benchmarking Servers Design 85

Percona

MARCH 28, 2023

The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. At every checkpoint interval (Default 60 seconds), MongoDB flushes the modified pages that are marked as dirty in the cache to their respective data files (both collection-*.wt This happens at every journalCommitIntervalMs. wt and index-*.wt).

Hardware 86

Hardware C++ Storage Cache 86

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Setting oom_score_adj to -800. References How MySQL 8.0.21

Performance 125

Performance Hardware Tuning Storage 125

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. We have tested PMM version 2.33.0 Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.

Monitoring 97

Monitoring Scalability Cache Database 97

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 103

Performance Monitoring Traffic Database 103

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Serverless 98

Serverless Lambda Cache Latency 98

Dynatrace

SEPTEMBER 13, 2023

Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond If so, test against the response time objective under the same Site Reliability Guardian.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 244

AWS Efficiency Azure Cloud 244

The Morning Paper

AUGUST 29, 2019

As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Query performance is measured from both warm and cold caches. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

APRIL 3, 2023

Percona Distribution for PostgreSQL provides the best and most critical enterprise components from the open-source community in a single distribution, designed and tested to work together. Upgrade Complete - Optimizer statistics are not transferred by pg_upgrade so, once you start the new server, consider running: /analyze_new_cluster.sh

C++ 100

C++ Database Cache Storage 100

Percona

JANUARY 9, 2023

NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM). But why we can’t just cache the actual number of the rows?

Cache 75

Cache Engineering Storage Speed 75

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Testing shows that by using the Fua bit with the data, write request can reduce the I/O traffic by ~50% for a SQL Server, write-intensive workload. Starting with the Linux 4.18 Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90

Smashing Magazine

OCTOBER 26, 2021

Nx is an open-source build framework that helps you architect, test, and build at any scale — integrating seamlessly with modern technologies and libraries, while providing a robust command-line interface (CLI), caching, and dependency management. Nx provides standard tools for testing and styling in your Next.js

Cache 111

Cache Servers Code Storage 111

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. Storage optimized – High disk throughput and IO. Premium storage support. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

High Scalability

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. lowrykoz : Stolen from a co-worker "Every company has a test environment. Mark LaPedus : MRAM, a next-generation memory type, is being touted as a replacement for embedded flash and cache applications. They are very expensive. This is where your performance goes.

Internet 121

Internet Internet Scalability Automotive 121

n0derunner

SEPTEMBER 17, 2018

As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement. It is the shared storage that often causes performance issues for data bases which are otherwise separated across nodes. We supply a pre-configured scenario which we call the DB Colocation test.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

HammerDB

JUNE 27, 2022

Also, when testing a database with a De-Witt clause, it was then possible to produce your own results without having to rely on a particular vendor to publish results of interest. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Dotcom-Montior

MARCH 6, 2022

Some of those factors include the following: URL Test Location Browser (Chrome, Firefox, Internet Explorer, mobile browsers etc…) Connection Number of Tests Repeat View Elements Used in Waterfall Charts Interactive Slider : The Interactive Slider is an indicator of the performance of each element in terms of milliseconds.

Performance 52

Performance Cache Website Speed 52

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. First, you’ll need to install the libraries boto3 and django-storages.

Media 70

Media Cache Storage AWS 70

Smashing Magazine

JUNE 18, 2020

More specifically, we’re going to talk about storage and UI differences, which are the ones that most often cause confusion to developers when writing Flutter code that they want to be cross-platform. Example 1: Storage. Secure Storage On Mobile. The situation when it comes to mobile apps is completely different.

Storage 94

Storage Mobile Website Java 94

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. We have: The application(s) node(s) — it is really up to you if you want to test with one application node or more.

Traffic 123

Traffic Scalability Database Servers 123

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

Percona

JULY 5, 2023

The principle of locality While the principle of locality is usually related to processors and cache access patterns, it also applies to data access in general. Regarding tablespace and segment fragmentation, modern storage systems tend to reduce the impact of these types of fragmentation. Set the fill factor to the test value.

Open Source 124

Open Source Database Efficiency Testing 124

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. You can then mimic the 90th percentile’s experience for testing.

Performance 145

Performance Cache Media Metrics 145

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.

Benchmarking 76

Benchmarking Storage Tuning Cache 76

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies.

Tuning 52

Tuning Efficiency Database Performance 52

SQL Performance

SEPTEMBER 6, 2022

Testing environment. USE master ; -- Create a new test database. -- COLLATE clause only to remind people it exists. . -- Not required, but it makes the later tests more precise. SET NOCOUNT , XACT_ABORT ON ; -- Prevent plan caching for this procedure. -- See [link]. BEGIN TRANSACTION ; -- Test statement(s).

Database 98

Database Storage Testing Servers 98

Dotcom-Montior

MAY 6, 2020

Test Location. Number of Tests. Moreover, caching utility may decrease the waiting time. Empty Cache (First View): The user access the website for the first time and has no cached data. Typical browser-based tools are going to clear the cache before making the requests. Connection. Repeat View.

Performance 53

Performance Cache Website Speed 53

Percona

MAY 2, 2023

Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Especially if going into or out of storage types that may throttle bandwidth/network traffic.

Best Practices 52

Best Practices Database Storage Servers 52

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. 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). Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 126

AWS Monitoring Ecommerce Lambda 126

n0derunner

MAY 6, 2019

A 2007 paper, that still has lots to say on the subject of benchmarking storage and filesystems. A Nine year study of filesystem and storage benchmarking Download. Use a mix of macro and micro benchmarks Understand what you are testing, cached results are fine – as long as that is what you had intended.

Benchmarking 40

Benchmarking Storage Cache Testing 40

Dynatrace

NOVEMBER 5, 2019

Our DEM offering also includes: Synthetics – Run browser-based workflow tests from multiple geographic locations for scoring availability of your applications before end-users experience issues. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

SQL Performance

OCTOBER 20, 2022

Test 5—Lock escalation reading data. Replace the test statement in the procedure from part one with the following: -- Test statement(s). OPTION ( MAXDOP 1 ) ; -- End test statement(s). All the tests in this part are run under locking read committed isolation. Test 6—No escalation on a heap.

Testing 91

Testing Servers Cache Engineering 91