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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. You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health.

Metrics 130
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Redis® Monitoring Strategies for 2024

Scalegrid

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis®, a powerful in-memory data store, is no exception.

Strategy 130
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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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Observability vs. monitoring: What’s the difference?

Dynatrace

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

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Resilience Pattern: Circuit Breaker

DZone

A circuit breaker is a component that monitors the health of a dependency, such as a remote service, an external API, or a database. A dependency can become unhealthy or unavailable for various reasons, such as network failures, high latency, timeouts, errors, or overload. What Is a Circuit Breaker?

Latency 258
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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. We’ve heard a lot about this rising database from the DBA community and our users, and decided to become a sponsor for this years Scylla Summit to learn more about the deployment trends from its users.

Big Data 187
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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. Observing AI models Running AI models at scale can be resource-intensive.

Cache 209