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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 199
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Amplify PowerUP: From APM to Observability

Dynatrace

Figure 1 Investment shift from infrastructure-centric to application-centric. But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation.

DevOps 211
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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x SUS312 How innovators are driving more sustainable manufacturing  — Marcus Ulmefors Northvolt Director Data and ML Platforms and Muhammad Sajid AWS SA.

AWS 64
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Total Cost of Ownership and the Return on Agility - All Things.

All Things Distributed

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership. s ideas are tested in the market. return on agility.â??

AWS 118
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The top four log analytics and log management best practices

Dynatrace

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

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Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple? The changes are administered by the regular git pull request flow and guarded by the validation infrastructure.

Mobile 209
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Building confidence in a decision

The Netflix TechBlog

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , Michael Lindon , and Colin McFarland This is the fifth post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Need to catch up? Have a look at Part 1 (Decision Making at Netflix), Part 2 (What is an A/B Test?),

Metrics 204