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AI-powered infrastructure monitoring for your SAP HANA database (Preview)

Dynatrace

If you’re running SAP, you’re likely already familiar with the HANA relational database management system. However, if you’re an operations engineer who’s been tasked with migrating to HANA from a legacy database system, you’ll need to get up to speed quickly. Avoid false positives with auto-adaptive baselining.

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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

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New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Our monitoring coverage already includes ?

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment.

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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. million AI server units annually by 2027, consuming 75.4+ Many organizations haven’t even considered which use cases will bring them the biggest return on AI investment.

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Artificial Intelligence in Cloud Computing

Scalegrid

Discover how AI is reshaping the cloud and what this means for the future of technology. AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.