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Best practices and key metrics for improving mobile app performance

Dynatrace

In-app purchases can help to measure the overall effectiveness of your business strategy. Examples of observability data include metrics, logs, and traces which provide visibility into the app’s behavior and performance at different levels of the stack, including the application code, infrastructure, and network.

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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). DevOps automation tools speed up delivery cycles by reducing human error and bottlenecks, resulting in fewer and shorter feedback loops. It helps to assess the long- and short-term efficiency and speed of DevOps.

DevOps 184
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. Learn more.

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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. A new CISO report explains why.

DevOps 181
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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. Check back here throughout the event for the latest news, insights, and announcements.

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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Providing standardized self-service pipeline templates, best practices, and scalable automation for monitoring, testing, and SLO validation. Example #1 – Deploy application code to Kubernetes. Keeping business stakeholders in the loop with end-to-end observability with deep insight and continuous feedback loops?. #2

Software 246
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What is mobile app monitoring? And the importance of mobile analytics

Dynatrace

This performance is influenced by a variety of factors, including the application code itself, the device being used, the server handling the data, and the network supplying the connection. Best practices for mobile app monitoring. However, the challenge is user crash reports don’t pinpoint exactly what went wrong.

Mobile 176