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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. What is an MPP Database?

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: available, and more are in the pipeline. Extensions 2.0 Extensions 2.0

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Database Migration Plan: Avoiding Common Pitfalls in Open Source Migration

Percona

Heck, typing “database migration plan” into Google and reading this blog could constitute planning. In brief, a proper database migration plan includes: Establishing clear objectives: Define what you want to achieve and how open source will get there. Some level of planning is expected when migrating to open source.

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Why Choose a Third-Party Database Migration Service

Percona

Sure, database migration is complex, particularly when you’re looking to migrate from a proprietary database to an open source one. Database migration is almost always time-consuming, tedious, and full of potential pitfalls. Database migration is complex Let’s start here. What’s your documentation plan?

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

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Can You Trust AI Chatbots When Seeking Help With Databases?

Percona

I played a bit with ChatGPT in February to see how it would respond to random database-related inquiries, and I found it pretty impressive and annoying at the same time. significantly enhanced downgrade compatibility by introducing changes that make it easier for downgraded databases to interoperate with older MongoDB versions.