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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 187
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace.

Software 263
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Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats

Dynatrace

DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. This results in achieving a flawless OWASP benchmark score for injection attacks, ensuring 100% accuracy with no false positives.

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How to evaluate modern APM solutions

Dynatrace

Your APM tool should help you establish performance benchmarks, so you can understand what good performance looks like. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs.

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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. Enforcing benchmarks in real time. What are quality gates?

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Perform Las Vegas 2020: Reduce risk and iterate faster

Dynatrace

However, with the advancement of DevOps and continuous delivery, cloud-native landscapes have provided innovative deployment models which are aimed to provide the following: Shorter release cycles, with the goal of getting features to customers faster. Using the Davis assistant for comparison and benchmarking. Customer story.

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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). Using Carbon Impact, we can now implement efficiency measures driven by the app’s benchmarks and recommendations. These metrics include CPU, memory, disk, and network I/O.

Energy 233