Remove Azure Remove Metrics Remove Monitoring Remove Speed
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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. It’s an enterprise product that we use to help modernize the VA,” Fuqua said.

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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 173
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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 248
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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

Cloud Automation workshop attendees not only get to walk through my Three-step implementation guide to answer-drive SLO-based release validation , but they also get to trigger multi-stage and multi-environment cloud automation including Monitoring As Code , Deployment Automation, and SLO-based Release Validation. Hands-on 2: Codify your SLOs.

Cloud 213
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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). Topics in this blog series. 2 Confidence: . GitHub and GitHub Actions.

Software 246
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

We have seen users who joined our preview program “speed up their release validation by 90%”. You have automated tests as part of delivery, monitored by Dynatrace, and you want to automatically validate to speed up your delivery pipeline (Lead Time). Automatically configure Dynatrace, e.g., dashboards, management zones, metrics.

DevOps 245