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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Serverless technologies can reduce management complexity.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.

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Extend the AI and automation core of Dynatrace with host extensions to resolve infrastructure problems

Dynatrace

A single instance of OneAgent can handle the monitoring of many types of entities , including servers, applications, services, databases, and more. But what if a particular metric is crucial for your monitoring needs and it isn’t there? Looking for ways to solve some of your infrastructure-related problems? Dynatrace news.

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. These standards can be custom for specific teams, technologies, or criticalities. The app offers a consolidated overview across data centers and all monitored hosts.

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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

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Automated observability, security, and reliability at scale

Dynatrace

While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service.

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

Dynatrace

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. As organizations adopt more AI technologies, the associated costs are skyrocketing.