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Mastering Scalability and Performance: A Deep Dive Into Azure Load Balancing Options

DZone

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability.

Azure 275
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The Power of Caching: Boosting API Performance and Scalability

DZone

Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. Reduced server load: By serving cached content, the load on the server is reduced, allowing it to handle more requests and improving overall scalability.

Cache 246
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0:

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Percona Server for MongoDB 7 Is Now Available

Percona

Why choose Percona Server for MongoDB? The difference between Percona Server for MongoDB and MongoDB CE is that we strive to provide a gap-closing set of features for users who want to use MongoDB in production. Why release Percona Server for MongoDB 7 now? which was released as Percona Server for MongoDB RC 7.0.2-1.

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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it.

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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Intelligent root cause analysis: Use Davis® AI to automatically detect and analyze performance issues across the entire tech stack.