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Ready-to-Use High Availability Architectures for MySQL and PostgreSQL

Percona

So why not use a proven architecture instead of starting from scratch on your own? This blog provides links to such architectures — for MySQL and PostgreSQL software. You can use these Percona architectures to build highly available PostgreSQL or MySQL environments or have our experts do the heavy lifting for you.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321
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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

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Kubernetes in the wild report 2023

Dynatrace

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

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Backup and Recovery for Databases: What You Should Know

Percona

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.