Remove Document Remove Hardware Remove Storage Remove Tuning
article thumbnail

How to Assess MySQL Performance

HammerDB

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. There are several ways to find out this information with the easiest way being by referring to the documentation. For storage, FIO is generally used.

article thumbnail

Why MySQL Could Be Slow With Large Tables

Percona

You can refer to the documentation for further details. It can help us to save costs on storage and backup times. While MySQL can handle large data sets, it is always recommended to keep only the used data in the databases, as this will make data access more efficient, and also will help to save costs on storage and backups.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

From Proprietary to Open Source: The Complete Guide to Database Migration

Percona

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

article thumbnail

Friends don't let friends build data pipelines

Abhishek Tiwari

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63
article thumbnail

Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

We are introducing native support for document model like JSON into DynamoDB, the ability to add / remove global secondary indexes, adding more flexible scaling options, and increasing the item size limit to 400KB. NoSQL and Flexibility: Document Model. JSON-style document model enables customers to build services that are schema-less.

article thumbnail

Structural Evolutions in Data

O'Reilly

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” A single document may represent thousands of features.

article thumbnail

MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.