Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

Open Source 358

Open Source Java Operating System Programming 358

Scalegrid

JULY 8, 2019

Are you looking to get started with the world’s most popular open-source database, and wondering how you should setup your MySQL hosting ? While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments.

Azure 219

Azure Cloud Virtualization Database 219

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

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. Document databases advance the BigTable model offering two significant improvements.

Database 279

Database Ecommerce Efficiency Engineering 279

Percona

MARCH 30, 2023

The use of open source databases has increased steadily in recent years. Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “open source database” really is and what it offers. What is an open source database?

Open Source 107

Open Source Database Storage Scalability 107

The Netflix TechBlog

JUNE 13, 2023

We can start by dialing traffic in a single data center to allow for an easier side-by-side comparison of key metrics across data centers, thereby making it easier to observe any deviations in the metrics. Our system doesn’t require strict consistency guarantees and does not use database transactions.

Traffic 285

Traffic Metrics Systems Strategy 285

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

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Architecture Scalability 130

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 130

Storage Network Open Source Latency 130

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. An erroneous change in the database system leads to a subset of the data being categorized incorrectly.

DevOps 272

DevOps Analytics Airlines Metrics 272

Scalegrid

NOVEMBER 4, 2024

The results will help database administrators and decision-makers choose the right platform for their performance, scalability, and cost-efficiency needs. Introduction Purpose and Scope Cloud-hosted PostgreSQL solutions are increasingly popular among organizations seeking scalable, high-performance databases. AWS RDS ran on db.m5.large

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 117

AWS Benchmarking Performance Traffic 117

Dynatrace

JANUARY 15, 2020

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Dynatrace Extension: database performance as experienced by the SAP ABAP server.

Latency 52

Latency Performance Virtualization Infrastructure 52

Percona

DECEMBER 28, 2023

Its functionality has been significantly improved in comparison to Audit Log and currently mirrors the functionality of the MySQL Enterprise Audit plugin. You can filter events based on a user account, audit event class name, audit event subclass name, and audit event fields (database name, table name, operation status, and so on).

Open Source 122

Open Source Database Servers Storage 122

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 117

Monitoring Scalability Database Cache 117

Percona

JANUARY 3, 2023

Table and database names are stored on disk using the lettercase specified in the CREATE TABLE or CREATE DATABASE statement. Name comparisons are case-sensitive. Table names are stored in lowercase on disk and name comparisons are not case-sensitive. MySQL converts all table names to lowercase on storage and lookup.

Database 109

Database Servers Storage Systems 109

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 145

Tuning Cache Servers Benchmarking 145

The Netflix TechBlog

NOVEMBER 2, 2021

Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few. Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline.

Media 178

Media Innovation Metrics Latency 178

Percona

JUNE 30, 2023

Percona, a leading provider of open-source database software and services, announced the general availability of Percona Operator for PostgreSQL version 2. Kubernetes provides many benefits, such as automation and scalability, but it also introduces new complexities when it comes to managing databases. In version 1.x,

Availability 107

Availability Open Source Azure Hardware 107

Scalegrid

JANUARY 8, 2024

For example, an application could use on-premises databases while also having access to ‘cloud bursting’ capabilities during times of high demand. This article will focus on the technology behind ScaleGrid’s Database-as-a-Service (DBaaS) solutions and how they align with multi-cloud and hybrid cloud structures. </p>

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

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. It can help us to save costs on storage and backup times. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

Open Source 111

Open Source Storage Database Big Data 111

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 51

Database Tuning Performance AWS 51

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. TDE can be applied at various levels, such as at the database, column, or cell level, depending on the organization’s specific security needs. Database-level encryption.

Database 94

Database Storage Servers Strategy 94

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

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Dynatrace Extension: database performance as experienced by the SAP ABAP server.

Latency 164

Latency Performance Virtualization Infrastructure 164

Percona

JULY 13, 2023

MySQL, one of the most popular relational database management systems, recognizes this need and has introduced utf8mb4 in its 8.0 Here is an example comparison of utf8 and utf8mb4 using MySQL tables and queries: MySQL 5.7 The emoji will not be stored correctly in the database because the utf8 character set cannot store emojis.

Database 98

Database Open Source Games Engineering 98

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.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

VoltDB

MARCH 21, 2024

In the world of databases, data management, and data platforms, this entropy usually takes the form of a simple database or data platform that might be ideal for early use cases evolving (or rather, de volving) into an expensive and unmanageable nightmare due to operational strain from use-case gluttony. How hard can it be?

Cache 52

Cache Database Storage Availability 52

Particular Software

SEPTEMBER 20, 2021

It’s less of an apples-to-oranges comparison and more like apples-to-orange-sherbet. Even a service that doesn’t turn around and call another service usually has to do something like talk to a database, which is another form of RPC. But the answer isn’t that simple. Let’s take a look at the bigger picture. ?? Messaging doesn’t do that.

Benchmarking 97

Benchmarking Latency Servers Systems 97

The Morning Paper

AUGUST 29, 2019

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Another interesting experiment here compared the effects on performance of different storage types. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

JULY 3, 2023

Partitioning is the concept of splitting large tables logically into smaller pieces for better performance of the database. However, a rule of thumb is that the size of the table should exceed the physical memory of the database server. The exact point at which a table will benefit from partitioning depends on the application.

Storage 98

Storage Database Performance Open Source 98

SQL Performance

NOVEMBER 11, 2020

In my examples I’ll continue using the sample database TSQLV5. In Batch 1, you can see a comparison between the results of two separate evaluations of the intrinsic function SYSDATETIME. In Batch 2, you see one evaluation of the function resulting in a column called Expr1000, and then a comparison between this column and itself.

C++ 122

C++ Code Storage Processing 122

Percona

SEPTEMBER 1, 2023

Web applications rely on databases to run the internet, powering everything from e-commerce platforms to social media networks to streaming services. MySQL is one of the most popular database management systems, playing a pivotal role in the functionality and performance of web applications.

Performance 52

Performance Storage Social Media Database 52

Highly Scalable

MAY 1, 2012

The straightforward approaches for implementation of this system are: Log all events in a large storage like Hadoop and compute unique visitor periodically using heavy MapReduce jobs or whatever. A Liner-Time Probabilistic Counting Algorithm for Database Applications. Counters on each position are incremented. References. Durand and P.

Analytics 191

Analytics Traffic Big Data Efficiency 191

ACM Sigarch

OCTOBER 4, 2018

For example, consider a database system that is distributed across a data center, or even across data centers. On the other hand, one can implement this system with encryption/decryption units between the compute and the storage. Second, as the trust boundary grows, the classes of adversary that can permeate that boundary increases.

Systems 48

Systems Hardware Storage Architecture 48

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. The HammerDB name.

Benchmarking 63

Benchmarking Open Source C++ Cache 63