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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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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

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. These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering.

Metrics 130
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AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. This enables deep explorative analysis.

Metrics 213
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What is API monitoring?

Dynatrace

Modern applications—enterprise and consumer—increasingly depend on third-party services to create a fast, seamless, and highly available experience for the end-user. As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? The need for API monitoring.

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Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. With these latency, reliability, and cost measurements in place, your operations team can now define their own OpenAI dashboards and SLOs.

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Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

Dynatrace

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. The network latency between cluster nodes should be around 10 ms or less. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios.

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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.