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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Check out the following webinar to learn how we’re helping organizations by delivering cloud native observability, unlocking greater scalability, speed, and efficiency for their Azure environments.

Cloud 263
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Performance and Scalability Analysis of Redis and Memcached

DZone

Speed and scalability are significant issues today, at least in the application landscape. We investigate deeper in a clustered environment and try identifying the scalability characteristics of both Redis and Memcached, including the implementation and management complexities of either.

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API Design Principles for Optimal Performance and Scalability

DZone

The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246
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Helping customers unlock the Power of Possible

Dynatrace

By automating root-cause analysis, TD Bank reduced incidents, speeding up resolution times and maintaining system reliability. To improve this, they turned to Dynatrace for AI-driven automation to accelerate problem detection and resolution. The result?

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Dynatrace delivers flexible and scalable Kubernetes native synthetic private locations

Dynatrace

Some organizations need to weigh cost considerations due to technology and business scalability limitations whereas others need to adhere to company policies. These numbers serve as limits for scalability, utilizing the power of the Kubernetes platform. For large enterprises, this is not even a consideration.

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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Depending on your application, you may be faced with one of these challenges: Slow garbage collection : This can impact your CPU massively and can also be the main reason for scalability issues.

Speed 214