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

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.

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How to boost SRE productivity with observability-driven DevOps

Dynatrace

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 218
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Without further ado, let’s start with the OS settings.

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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. The Framework is built on five pillars of architectural best practices: Cost optimization. To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes. Operational excellence.

Azure 187
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Weighing a microservices approach means covering all architecture bases

Dynatrace

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. For example, a virtual machine (VM) can replace containers to design and architect microservices.