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Infrastructure Monitoring tools: 3 steps to evolve ITOps into AIOps

Dynatrace

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Making use of serverless architecture. The Serverless Process.

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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. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Dynatrace news. What are logs?

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Observability platform vs. observability tools

Dynatrace

They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. As a result, teams can gain full visibility into their applications and multicloud infrastructure. Watch webinar now!

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What is APM?

Dynatrace

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” Improved infrastructure utilization. Concrete business benefits.

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The death of Agile?

O'Reilly

The most important is discovering how to work with data science and artificial intelligence projects. It’s reasonable to have something to demo in two weeks (or whatever interval you choose). Software architecture, infrastructure, and operations are each changing rapidly.