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The top four log analytics and log management best practices

Dynatrace

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. By following key log analytics and log management best practices, teams can get more business value from their data.

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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. Unfortunately, it’s not that simple.

Cloud 216
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IT modernization improves public health services at state human services agencies

Dynatrace

Understanding how dependencies affect application performance positions the team to make better decisions, such as adjusting service architecture or infrastructure to improve application performance or holding third-party vendors accountable for causing performance issues.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. There is an issue with this, which causes the OS to swap even with memory available.

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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

Perform serves yearly as the marquis Dynatrace event to unveil new announcements, learn about new uses and best practices, and meet with peers and partners alike. What will the new architecture be? Learn more about Dynatrace and GCP from the ebook 5 Key Considerations for Monitoring Google Cloud. What can we move?

Cloud 218
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

Multicloud architectures, on the other hand, blend services from two or more private or public clouds — or from a combination of public, private, and edge clouds. Best practices to consider. Other best practices include the following: Provide a complete picture of the health of the entire cloud infrastructure.

Cloud 228
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. However, turning those logs into meaningful insights requires a data lakehouse.