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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data. Dynatrace news.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data. Dynatrace news.

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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. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130
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How to overcome the cloud observability wall

Dynatrace

Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 233
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Monitoring Distributed Systems

Dotcom-Montior

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc.,

Systems 74
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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Dynatrace achieves AWS Outposts Ready designation

Dynatrace

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for all AWS services that publish metrics to Amazon CloudWatch, providing advanced observability for dynamic hybrid clouds. The AWS Service Ready Program was established to support the seamless integration and deployment of AWS services.

AWS 207