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Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Dynatrace

It automatically sends JMeter metrics to the Dynatrace cluster via the Metrics Ingest API. These metrics can be used to validate the load test plan or target load and to correlate between different application metrics. The white box load testing project setup. response time (${local.apps[count.index].name})"

Testing 217
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A guide to event-driven SRE-inspired DevOps

Dynatrace

While an SLI is just a metric, an SLO just a threshold you expect your SLI to be in and SLA is just the business contract on top of an SLO. Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. class SRE implements DevOps) !

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

Dynatrace

Many of our users are performance engineers using Cloud Automation Quality Gates to automate the analysis of their performance and load tests – saving hours of analysis time for each test they run. Automatically configure Dynatrace, e.g., dashboards, management zones, metrics.

DevOps 244
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The Best Way to Host MongoDB on DigitalOcean

Scalegrid

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB.

Azure 187
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Keptn – The Autonomous Cloud control plane for Dynatrace explained

Dynatrace

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call. Another very popular use case is Performance as a Self-Service.

Cloud 187
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

Let me walk you through how I have built my Dynatrace Performance Insights Dashboard showing SLIs split by Test Name as well as SLIs for the specific technology and infrastructure: Enriching your load testing scripts with meta data allows building test context specific SLI-dashboards in Dynatrace.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Having Dynatrace also looking at key EFS metrics gives them additional root cause information in case something goes wrong. If you’re an IT or cloud administrator, make sure to check out Dynatrace’s capabilities on monitoring k8s clusters , AWS , VMWare , OpenStack , Azure , Google GCP , OpenShift , CloudFoundry.

AWS 127