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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 212
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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?

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 214
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How organizations can build a strong DevSecOps maturity model based on best practices

Dynatrace

DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management. Some DevSecOps best practices include the following: Security by design. Release validation. The education of employees about security awareness. Disparate toolsets.

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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast. Users need to be able to work efficiently regardless of how large their environments are.

Analytics 218
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Cybersecurity Awareness Month: Essential cybersecurity best practices to safeguard your organization

Dynatrace

Owning the responsibility and effort to build good cyber security practices now will improve your DevSecOps team’s overall productivity and efficiency in the future. As soon as vulnerable code is detected, Dynatrace triggers an automated full analysis of the impact on your environment and provides deep insights for your security teams.