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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. MySQL is the number one open source database that’s commonly hosted through Azure instances. We measure latency in ms 95th percentile latency.

Azure 299
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Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure

Scalegrid

If you’re hosting your databases in the cloud, choosing the right cloud service provider is a significant decision to make for your long-term hosting costs. Over the last few weeks, we have been inundated with requests from SMB customers looking to improve the ROI on their database hosting. MongoDB® Database. EC2 instances.

Azure 344
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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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Scalable Annotation Service?—?Marken

The Netflix TechBlog

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. All data should be also available for offline analytics in Hive/Iceberg.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 204
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Lessons learned from enterprise service-level objective management

Dynatrace

Every organization’s goal is to keep its systems available and resilient to support business demands. Example 1: Architecture boundaries. This view shows the availability SLO for key application functions, like login and vehicle list, as well as a large set of timeframes, like last 30 minutes, last hour, today, and last six days.