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Devops and the need for cloud based solutions

Testsigma

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Centralizes the Processes.

DevOps 59
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Path to NoOps part 1: How modern AIOps brings NoOps within reach

Dynatrace

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. For most teams, evolving their DevOps practices has been challenging enough. Or is it just a passing cloud?

DevOps 217
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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Data indicates these technology trends have taken hold.

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

Dynatrace

Data proliferation—as well as a growing need for data analysis—has accelerated. Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

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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.

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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Based on large language models (LLMs), generative AI can help those in communication and creative fields to enable live chat between customer reps and consumers, to create product descriptions automatically and on the fly, or even to detect fraud in financial services settings. Generative AI can boost organizational productivity.

DevOps 184
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 208