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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 209
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

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.

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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167
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Data ingestion pipeline with Operation Management

The Netflix TechBlog

There are many naive solutions possible for this problem for example: Write different runs in different databases. But we cannot search or present low latency retrievals from files Etc. Instead our challenge was to implement this feature on top of Cassandra and ElasticSearch databases because that’s what Marken uses.

Media 264
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MongoDB Database Backup: Best Practices & Expert Tips

Percona

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.

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GraphQL Search Indexing

The Netflix TechBlog

Specifically, how our team uses the relationships and schemas defined within GraphQL to automatically build and maintain a search database. Each service could potentially implement its own search database, but then we would still need an aggregator. Best of all, our page can load much faster since everything is cached in Elasticsearch.

Cache 240
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ChatGPT vs. MySQL DBA Challenge

Percona

At the same time that I see database engineers relying on the tool, sites such as StackOverflow are banning ChatGPT. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. If we expand the cache concept more, the buffer pool could be even less if the working set (hot data) is smaller.