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Dynatrace expands root cause analysis to Kubernetes with Davis AI

Dynatrace

Triage and diagnosis become a long process of hunting for clues. With the release of Dynatrace version 1.249, the Davis® AI Causation Engine provides broader support to subsequent Kubernetes issues and their impact on business continuity like: Automated Kubernetes root cause analysis. Incidents are harder to solve. New to Dynatrace?

Storage 328
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Enhanced root cause analysis using events

Dynatrace

DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. Root cause analysis is often hampered by a lack of timely information, the involvement of multiple tools, or conflicting sources of truth. What you need to know for root cause analysis.

DevOps 245
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Business Flow: Why IT operations teams should monitor business processes

Dynatrace

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

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Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

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Processing Time Series Data With QuestDB and Apache Kafka

DZone

Apache Kafka is a battle-tested distributed stream-processing platform popular in the financial industry to handle mission-critical transactional workloads. Processed market data and orders may then be saved to a time series database for further analysis.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Ingesting, processing, retaining, and querying logs.

Analytics 246
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Dynatrace memory analysis helps Product Architects identify unknown unknowns

Dynatrace

Luckily, Dynatrace provides in-depth memory allocation monitoring, which allows fine-grained allocation analysis and can even point to the root cause of a problem. While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post.

Java 246