Remove Efficiency Remove Hardware Remove Monitoring
article thumbnail

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. This leads to a more efficient and streamlined experience for users. Start monitoring Hyper-V Navigate to the Dynatrace Hub and activate the Microsoft Hyper-V Extension. What’s next?

article thumbnail

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. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Business observability: From IT monitoring to driving digital transformation

Dynatrace

Cloud-native technologies are driving the need for organizations to adopt a more sophisticated IT monitoring approach to satisfy the competitive demands of modern business. They’ve gone from just maintaining their organization’s hardware and software to becoming an essential function for meeting strategic business objectives.

article thumbnail

Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. Observability differs from monitoring. In a monitoring scenario, teams typically preconfigure dashboards to alert about performance issues they may expect to see later.

article thumbnail

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
article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
article thumbnail

Best Practices for Scaling RabbitMQ

Scalegrid

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. However, maintaining the health of each RabbitMQ node is crucial; monitoring tools play a vital role in ensuring the stability of the RabbitMQ cluster.