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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 249
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Perform 2020: Transform the way you work – Product update

Dynatrace

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

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Better Video Streaming With imgix

Smashing Magazine

How do I account for different network speeds in different environments? This solution is fine when network speeds are fast, but it can be problematic when network speeds are not fast (or fluctuate). And if there is one thing we all know — we cannot control the speed network our customers are using.

Media 106
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Flow Metrics: Three Anti-Patterns to Avoid

Tasktop

This is by no means a unique phenomenon: Any marketing expert could tell you, for example, how Google Analytics can paint a very different picture depending on the selected date range. . Flow Metrics tell a story about the speed, throughput and efficiency of a value stream. Be content with the speed of completed work .

Metrics 98
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Dynatrace extends contextual analytics and AIOps for open observability. To achieve that strategic advantage, teams turn to AI and AIOps, the discipline of applying AI and advanced analytics to IT operations. The need for speed has never been more urgent in today’s hyper-digital age. 2021 DevOps Report.

AWS 230
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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.