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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

As teams and their structure and metadata are often maintained in a dedicated database, such as Microsoft Entra ID (formerly Azure Active Directory) or ServiceNow. Keeping ownership teams and their properties up to date is essential, as is having the right contact information available when needed. Contact us to schedule a demo.

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Managing High Availability in PostgreSQL – Part II

Scalegrid

Are you deploying PostgreSQL in the cloud and want to understand your options for achieving high availability? In our previous blog post, Managing High Availability in PostgreSQL – Part I , we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by ClusterLabs. repmgr also supports event notifications.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Any log event (JSON or plain text) via HTTP REST API. Dynatrace news.

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MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js

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Sending SentryOne Data to the Azure SQL Database DTU Calculator

SQL Performance

If so, you may have heard about the Azure SQL Database DTU calculator , and you may have also read about how it has been reverse engineered by Andy Mallon. Database – Log Bytes Flushed/sec. When I looked through the SentryOne database, I found that 3 of the 4 counters were already being captured by default.

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