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PREVIEW : SentryOne Plan Explorer Extension for Azure Data Studio

SQL Performance

Last year, I got together with one of my dev teams at SentryOne – they call themselves the SQL Injectors – to talk about the possibility of replicating Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET or better).

Azure 90
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Dynatrace SaaS release notes version 1.239

Dynatrace

To stay tuned, keep an eye on our release notes. Log Monitoring documentation. Starting with Dynatrace version 1.239, we have restructured and enhanced our Log Monitoring documentation to better focus on concepts and information that you, the user, look for and need. Legacy Log Monitoring v1 Documentation. Log Monitoring.

Azure 216
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PREVIEW : SentryOne Plan Explorer Extension for Azure Data Studio

SQL Performance

Last year, I got together with one of my dev teams here – they call themselves the SQL Injectors – to talk about the possibility of replicating SentryOne Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET

Azure 50
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How to Setup a WordPress MySQL Database in the Cloud

Scalegrid

Managing a database is hard, as it needs continuous updating, tuning, and monitoring to ensure the performance of your website. Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. We support two different MySQL DBaaS plans on both AWS and Azure. Stay tuned!

Database 166
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What is cloud-native architecture? Set yourself up for cloud success

Dynatrace

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Documentation is slow and laborious to produce.

Cloud 163
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Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry. For more information, please see our documentation for metric transformations and aggregations.

Metrics 227
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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

Cloud platform metrics (AWS, Azure, Kubernetes, etc.). The number of signal fluctuations and the sliding evaluation window for alerting allow you to further fine-tune alerting sensitivity. For more details, see our Auto-adaptive baselining for custom metric events documentation. Custom log metrics. Synthetic monitor metrics.

Metrics 211