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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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Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

This orchestration layer uses software-based tools to automate IT tasks and manage resources—virtualized or other. An orchestration tool can create a new virtual machine instance and determine the best location in the cloud for deploying that instance. Support virtual machines and containers.

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Mastering Hybrid Cloud Strategy

Scalegrid

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130
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Weighing a microservices approach means covering all architecture bases

Dynatrace

Even in heavily regulated industries, such as banking and government agencies, most organizations find the monolithic approach too slow to meet demand and too restrictive for developers. Additionally, typical SOA models use larger relational databases. In contrast, microservices typically uses NoSQL or a type of micro-SQL database.

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What is Azure Functions?

Dynatrace

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. Consider using virtual machines or specialized frameworks for these types of tasks.

Azure 135
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Observability: Modern tools for modern challenges in multicloud environments

Dynatrace

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. And that was well before AWS, Azure, and cloud.

Cloud 164
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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. Taking a step back, EGML systems need support in three main areas: model development/training, model scoring (inference) and model management/governance. EGML requirements. Three big bets. Data management.