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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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Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS. We can log into an actual experience and it captures everything,” he said.

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DevOps automation: We’re only halfway there

Dynatrace

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. DevOps automation is necessary to increase speed and efficiency in the software development pipeline. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 197
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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

The need for transaction speed in the face of increasing digital customer demand According to Bollampally, the company’s on-premises infrastructure couldn’t support the consolidated reporting it needed while responding to customers’ increasing demand for online shopping. ” Three years ago, Tractor Supply Co.

Cloud 166
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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? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240
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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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Cloud Automation workshop roadshow: Kick-off

Dynatrace

For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system. Speed up your delivery processes by automating your quality gates into your Jenkins, GitLab, ….

Cloud 212