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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5

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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

Cloud 179
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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases. Support diverse analytics workloads. Massively parallel processing.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache.

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Best practices and key metrics for improving mobile app performance

Dynatrace

Examples of observability data include metrics, logs, and traces which provide visibility into the app’s behavior and performance at different levels of the stack, including the application code, infrastructure, and network. This can be achieved by reducing the size of files or images, using caching, and compressing data.