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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

This includes collecting metrics, logs, and traces from all applications and infrastructure components. The schema and index-dependent approach of traditional databases can’t keep pace or provide adequate analytics of these hyperscale environments. Learn how to automate DevSecOps at scale.

Cloud 182
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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 229
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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 182
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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The deviating metric is response time. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests.

DevOps 191