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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. RabbitMQ can be deployed in distributed environments and includes monitoring tools through a built-in dashboard and CLI. This ensures that storage is used efficiently and only active messages remain in the queue.

Latency 147
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log monitoring? Log monitoring vs log analytics.

Analytics 264
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Building Resiliency With Effective Error Management

DZone

this is addressed through monitoring and redundancy. Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc.

Hardware 243
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Dynatrace SaaS on Azure now Generally Available

Dynatrace

This means you no longer have to procure new hardware, which can be a time-consuming and expensive process. All data at rest is stored in Azure Storage and is encrypted and decrypted using 256-bit AES encryption (FIPS 140-2 compliant). Additionally, the investment for on-prem installations is a lot more expensive to manage over time.

Azure 325
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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. Dynatrace now monitors your AWS Outposts environment just like any AWS cloud Region. What is AWS Outposts? Next steps.

AWS 275
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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. Watch webinar now!