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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

Dynatrace ownership functionality supports configuration-as-code via its proprietary Monaco (Monitoring as code) CLI or Terraform. More details on the supported ways of enriching your environment are described in Best practices for ownership information documentation. Contact us to schedule a demo.

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Automated observability, security, and reliability at scale

Dynatrace

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.

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Defining Regression Checks – Why, When & its Best Practices

Testsigma

Regression testing comprises re-running the test cases of already stable features and finding out if the new code changes attributed to the new release led to any negative impacts on the existing functionalities. Regression checks should start as soon as a new build is released for testing and should be repeated for every new code build.

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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.” This approach helps you quickly integrate best practices within your organization and provides cloneable artifacts for rapid product development.

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MongoDB Performance Resources

Alex Podelko

First of all, it is MongoDB and Atlas documentation: Performance , Monitoring , and Query Optimization. Atlas Performance Overview and Monitor Your Cluster documentation. There are many great blog posts: Performance Best Practices 7-parts series. We do have a lot of great resources that can help with MongoDB performance.

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How Dynatrace protects its software development and delivery life cycle against supply chain attacks

Dynatrace

Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. It all starts with the code. Dynatrace has established a secure SDL, which automatically enforces that all developed code is reviewed by a peer.

Software 238
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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks.

DevOps 190