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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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API Design Principles for Optimal Performance and Scalability

DZone

The post will provide a comprehensive guide to understanding the key principles and best practices for optimizing the performance of APIs. API performance optimization is the process of improving the speed, scalability, and reliability of APIs. What Is API Performance Optimization? What Is API Performance Optimization?

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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.

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Dynatrace Amplify Partner Sales Kickoff 2023: Observability Unleashed

Dynatrace

While last year was deemed “The Year of Innovation” for launching Grail , our causal data lakehouse with massively parallel processing (MPP), along with AppEngine , AutomationEngine , Notebooks , and more, 2023 is about extending these innovations to more customers through our partners.

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What is DevOps automation?

Dynatrace

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). Automating tasks throughout the SDLC helps software development and operations teams collaborate while continuously improving how they design, build, test, deploy, release, and monitor software applications.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

For this, best practices would be to segregate commands from data, use parameterized SQL queries, and eliminate the interpreter by using a safe application program interface, if possible. Use a safe development life cycle with secure design patterns and components. Apply threat modeling and plausibility checks.