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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. JMX monitoring extensions are currently being migrated. Extensions can monitor virtually any type of technology in your environment. and focusing on a much-improved version 2.0 Extensions 2.0

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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. Dynatrace OneAgent® is perfectly capable of automatically injecting and tracing code-level information for many technologies, such as Java,NET, Golang, and NodeJS.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. What is generative AI? Learn its benefits—and challenges—and how to tame it.

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The top eight DevSecOps trends in 2022

Dynatrace

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

These include ETL pipelines, ML model training workflows, batch jobs, etc. The scheduler on-call has to closely monitor the system during non-business hours. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow.

Java 202
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How Netflix Scales its API with GraphQL Federation (Part 2)

The Netflix TechBlog

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. We partnered with Netflix’s Developer Experience (DevEx) team to build out documentation, training materials, and tutorials for developers.

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Post: Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET. Learn how to train interviewers so everyone's on the same page. Level up your tech hiring!

Education 105