Remove Analytics Remove Azure Remove Metrics Remove Speed
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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. “We monitor all services that produce metrics in the top three clouds,” he said.

Cloud 173
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Flow Metrics: Three Anti-Patterns to Avoid

Tasktop

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98
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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.”. With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes.

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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 248
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Not just logs, metrics and traces. 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.

AWS 230
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Microsoft Azure digital transformation: Embracing the power of cloud technology with next-gen observability

Dynatrace

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. Digital transformation is only going to speed up, not slow down, and companies must remain on top of it. The speed of change is only going to accelerate, thus requiring more innovation. Optimization.

Azure 174
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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.