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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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How organizations can build a strong DevSecOps maturity model based on best practices

Dynatrace

This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Release validation.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. However, cloud complexity has made software delivery challenging.

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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

“As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. As a result, IT teams often end up performing time-consuming, manual processes.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. For example, synthetic monitoring can zero in on specific business transactions, such as completing a purchase or filling in a web form. What is real user monitoring?

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Best practices for accelerating Dynatrace APIs within large monitoring environments

Dynatrace

Many Dynatrace monitoring environments now include well beyond 10,000 monitored hosts—and the number of processes and services has multiplied to millions of monitored entities. Best practice: Filter results with management zones or tag filters. Best practice: Increase result set limits by reducing details.