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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. What is infrastructure as code? Consistency.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience.

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AIOps for infrastructure monitoring: The observability advantage

Dynatrace

Infrastructure complexity is costing enterprises money. million per year just “keeping the lights on,” with 63% of CIOs surveyed across five continents calling out complexity as their biggest barrier to controlling costs and improving efficiency. Dynatrace news. AIOps can help. AI powers cloud visibility.

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The top four log analytics and log management best practices

Dynatrace

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Thus, organizations face the critical problem of designing and implementing effective solutions to manage this growing data deluge and its associated implications.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. ETL workflows), as well as downstream (e.g.

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