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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 181
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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram.

Design 334
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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 264
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

IBM i is designed to integrate seamlessly with legacy and modern applications, allowing businesses to run critical workloads and applications. IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers.

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What the NIS2 Directive means for application security

Dynatrace

The directive mandates operators of critical infrastructure and essential services to implement appropriate security measures and promptly report any incidents to the relevant authorities and affected parties. As the pace of digital transformation accelerates, the cloud applications supporting digital infrastructure become more complex.

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Artificial Intelligence in Cloud Computing

Scalegrid

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.