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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

With Dynatrace DavisĀ® , Vertex AI, and Gemini for Google Cloud, this strategic partnership aims to meet developers’ needs, facilitating rapid application development, expediting time to value, and eliminating friction across the software development and delivery continuum. Learn more.

Google 261
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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 202
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Security operations centers: How state governments can enhance cybersecurity posture

Dynatrace

As digital transformation continues to accelerate, software delivery pipelines become more challenging to secure. Security operations center operators are typically security professionals and analysts who work closely with staff in IT operations and development roles. Cyberattacks are increasingly becoming the norm.

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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation. Site reliability engineers, or SREs, lead these efforts.

DevOps 197
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Dynatrace OTel Collector distribution amplifies OpenTelemetry integration for scalable, production-ready observability

Dynatrace

Organizations use it to collect and send data to a backend, such as Dynatrace, that can analyze software performance and behavior. Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately.

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

Dynatrace

For more information on how a data lakehouse powered by software intelligence can help your organization quell cloud complexity, create operational efficiencies, and deliver better business insights, view the resources below. For example, development teams can use automation to increase efficiency in the software development lifecycle.

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What is platform engineering?

Dynatrace

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries.