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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. It also doesn’t give IT organizations the instant insights they need for troubleshooting.

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Overseeing SaaS security with AWS AppFabric and Dynatrace

Dynatrace

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. AWS AppFabric ingests and normalizes audit logs from SaaS applications and delivers them to an Amazon Simple storage service (Amazon S3) bucket in an organization’s AWS account.

AWS 239
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 229
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The value of open platforms: How an open software intelligence platform accelerates innovation

Dynatrace

Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. AI-powered precise answers and timely insights with ad-hoc analytics. Conversely, an open platform can promote interoperability and innovation. Automation at scale.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. Amazon EC2. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale.

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Getting answers from data starts with automated log acquisition, at any scale

Dynatrace

Data sovereignty and governance establish compliance standards that regulate or prohibit the collection of certain data in logs. This allows you to create flexible and powerful log storage configurations on any level by utilizing the unique autodiscovery capabilities of Dynatrace OneAgent or a custom setup. Try it out yourself.

Storage 219