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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

SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. SLOs minimize downtime.

Software 263
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Privacy controls and barriers to session replay

Dynatrace

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. Most internet users shop online, providing a name, address, and credit card number to complete an order. Consumer data.

Analytics 192
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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

Continuously monitor applications in runtime for known vulnerabilities and prioritize patching based on criticality: for example, adjacency to the internet and/or critical data. In addition, analyze data from a unified observability view that provides contextualized application security analytics.

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Cross Browser Testing: Some tools for enterprises

Testsigma

Analytics & reports: Testsigma’s reports and analytics dashboard is highly customizable. Analytics & reports: Katalon’s analytics and reports dashboard can be customized as per your priorities. Integrations : It can be integrated with multiple CI/CD tools, DevOps, and several cloud-based services.

Testing 52
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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Under the heading of DevOps – the combination of "Development and Operations" – IT guru Gene Kim has described the core characteristics of this machinery.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

The time and effort saved with testing and deployment are a game-changer for DevOps. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. In production, containers are easy to replicate. What is Docker?