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Low-Maintenance Backend Architectures for Scalable Applications

DZone

The Evolution of Back-End Complexity Until recently, back-end architectures were relatively straightforward: monolithic applications ruled the landscape, with everything neatly contained within a single codebase. Developers could understand and manage the entire systems intricacies.

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

Dynatrace

Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. Enhancing data separation by partitioning each customer’s data on the storage level and encrypting it with a unique encryption key adds an additional layer of protection against unauthorized data access.

Storage 246
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Dynatrace Observability for Developers saves time with real-time data

Dynatrace

What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. It packages the existing Dynatrace capabilities needed by developers in their day-to-day worksuch as logs, distributed traces, profiling data, exceptions, and more.

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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This has resulted in visibility gaps, siloed data, and negative effects on cross-team collaboration. At the same time, the number of individual observability and security tools has grown.

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Distributed Cloud Architecture for Resilient Systems

DZone

For more: Read the Report Employing cloud services can incur a great deal of risk if not planned and designed correctly. In fact, this is really no different than the challenges that are inherit within a single on-premises data center implementation.

Cloud 298
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IT automation central to navigating cloud complexity and data explosion

Dynatrace

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 245
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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Move beyond logs-only security: Embrace a comprehensive, end-to-end approach that integrates all data from observability and security. More technology, more complexity The benefits of cloud-native architecture for IT systems come with the complexity of maintaining real-time visibility into security compliance and risk posture.

Analytics 289