Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern).

Cloud 214

Cloud Energy Best Practices Cache 214

Percona

FEBRUARY 16, 2023

key id, key user, key type, together with keys themselves) into the cache, unless MySQL is restarted, or you want to rotate the master key (you won’t though, as you know you have removed the keyring_file), it will not need the keyring file anymore. row Database: test Create Database: CREATE DATABASE `test` /*!40100

Database 114

Database Servers Engineering Testing 114

DZone

OCTOBER 9, 2023

Bloom, these data structures have found applications in various fields such as databases, caching, networking, and more. In this article, we will delve into the concept of Bloom filters, their functioning, explore a contemporary real-world application, and illustrate their workings with a practical example.

Efficiency 152

Efficiency Cache Network Database 152

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

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

High Scalability

JANUARY 11, 2022

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334

Design Media Storage Logistics 334

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. It also removes the need for developers and database administrators to manage infrastructure or update database versions.

Azure 239

Azure Latency Metrics Infrastructure 239

High Scalability

FEBRUARY 17, 2021

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. I have used latest versions for each NoSQL DB and have followed the recommendations to run all the databases in optimized conditions. Load and 2.

Benchmarking 308

Benchmarking Latency C++ Database 308

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages.

Cache 232

Cache Ecommerce Social Media Database 232

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. You quickly realize that it will take ages to fill up the overprovisioned database storage.

Storage 192

Storage Database Network Tuning 192

HammerDB

JULY 5, 2022

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

Benchmarking 98

Benchmarking Database C++ Virtualization 98

The Netflix TechBlog

MAY 19, 2023

A cleanup process to prune stale relationships from the database. Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability. What was problematic about this design? SpiceDB walks the graph and decomposes it into subproblems.

Cache 249

Cache Google Open Source Systems 249

Percona

SEPTEMBER 1, 2023

MySQL triggers are a powerful tool for database administrators and developers, enabling them to automate tasks, enforce data consistency, and respond to events within the database seamlessly. A Trigger in MySQL is a database object that plays a pivotal role in database management.

Cache 59

Cache Database Games Healthcare 59

The Netflix TechBlog

MARCH 7, 2023

Goals Annotation Operations Lets pick an example use case of identifying objects (like trees, cars etc.) There are many naive solutions possible for this problem for example: Write different runs in different databases. In our experience, all errors have happened when the Elasticsearch database is having some issue.

Media 264

Media Latency Architecture Database 264

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. 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

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable).

Cache 98

Cache Hardware Servers Benchmarking 98

Percona

OCTOBER 2, 2023

You can get summaries of your database servers, or you verify replication lag on MySQL and PostgreSQL servers. You get thirty-eight scripts that can do any manner of actions, and you will find them very valuable in your regular database work. Caches | 12.4G And did I mention they are open source?! pt-summary --user=root [?

Cache 96

Cache Database Virtualization Servers 96

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 87

Traffic Cache Monitoring Database 87

Smashing Magazine

SEPTEMBER 28, 2022

For example, in Next.js, you can load a student list writing: export default function Home({ studentList }) { return ( <Layout home> <ul> {studentList.map(({ id, name, age }) => ( <li key={id}> {name} <br /> {age} </li> ))} </ul> </Layout> ); }. Active Memory Caching.

Cache 125

Cache Performance Servers Social Media 125

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Data Placement. System Coordination. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. DBMS enhances data security with encryption, implements various access controls, and enables improved data sharing and concurrent access, thus facilitating quick response to changes and maintaining consistent database accuracy.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. That included web servers, app services, microservices, queues, databases, mainframe and external services.

Cache 201

Cache Database Architecture Government 201

Percona

FEBRUARY 15, 2023

Bloom filters are an essential component of an LSM-based database engine like MyRocks. This post will illustrate through a simple example how bloom filters work in MyRocks. In the above example, if you add all the first names of the people at Percona you’ll end up with only “1” That would be obviously useless.

Storage 125

Storage Tuning Cache Engineering 125

Percona

APRIL 24, 2023

This post is about PostgreSQL, but most of the problems also apply to other database systems. For example, let’s assume that there are five indexes on a table; every INSERT into the table will result in an INSERT of the index record on those five indexes. The more indexes, the more the requirement of memory for effective caching.

Tuning 123

Tuning Cache Storage Database 123

Percona

JULY 25, 2023

Percona XtraBackup performs crash recovery on the files to make a consistent, usable database again. The redo apply phase wouldn’t make the database consistent with respect to a transaction. They are then applied (for example, writing old values back again) to the pages again and written to disk. CREATE TABLE test.t1(a

Cache 83

Cache Benchmarking Servers Design 83

Speed Curve

FEBRUARY 5, 2024

Caching the base page/HTML is common, and it should have a positive impact on backend times. Key things to understand from your CDN Cache Hit/Cache Miss – Was the resource served from the edge, or did the request have to go to origin? In the case of a cache miss, this should be zero.)

Servers 57

Servers Cache Retail Benchmarking 57

IO River

NOVEMBER 2, 2023

They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

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. Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

NOVEMBER 3, 2021

For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

n0derunner

DECEMBER 18, 2018

a 10TB database with 20% hot data) we observe a 2X improvement in throughput for random access across the 2TB hot dataset. In our experiment we deliberately size the active working-set to NOT fit into the metadata cache. Additionally AES reduces the need to cache metadata in DRAM since local access is so fast.

Performance 40

Performance Cache Hardware Storage 40

The Netflix TechBlog

NOVEMBER 4, 2019

Specifically, how our team uses the relationships and schemas defined within GraphQL to automatically build and maintain a search database. As an example, our data is centered around a creative service to keep track of the creatives we build. If we had a single database with all of the information in it, the search would be easy.

Cache 240

Cache Database Servers Latency 240

SQL Performance

OCTOBER 13, 2021

I also compare them with stored procedures, mainly focusing on differences in terms of default optimization strategy, and plan caching and reuse behavior. In my examples I’ll use a sample database called TSQLV5. An Example. GetTopCustOrders ( 1 , 3 ) ; I’ll refer to this example as Query 1.

Cache 144

Cache Strategy C++ Code 144

SQL Performance

MARCH 29, 2022

Simple parameterization has a number of quirks in this area, which can result in more parameterized plans being cached than expected, or finding different results compared with the unparameterized version. For the time being, let’s look at some examples using the Stack Overflow 2010 database on SQL Server 2019 CU 14. Users AS U.

Cache 90

Cache Servers Database Testing 90