Remove Efficiency Remove Infrastructure Remove Scalability
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations.

AWS 298
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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246
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Helping customers unlock the Power of Possible

Dynatrace

And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. This increased efficiency allowed BPX to reallocate resources toward innovation, driving business growth and reinforcing their sustainability goals.

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Tips for Building a Scalable Payment Architecture

DZone

When you are preparing your application for release, an efficient initial strategy is to integrate a single payment service. That’s why it is important to have a scalable infrastructure that will allow you to accommodate those needs — especially nowadays, when integrating with payment services has become more accessible than ever.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. This decoupling simplifies system architecture and supports scalability in distributed environments. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. This ensures optimal resource utilization and cost efficiency. Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts.

Traffic 262
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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.