Remove 2017 Remove Agile Remove Microservices Remove Systems Review
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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

As little as 5% of the code of production machine learning systems is the model itself. 2015): Hidden Technical Debt in Machine Learning Systems. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. This in turn means the recommendations deteriorate over time due to a lack of signals.

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Microservices Webinar FAQ

Bernd Rucker

Webinar FAQ for Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation Answering leftover questions from my webinar in March 2020 On Wednesday, March 11, 2020, I conducted the webinar titled “ Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation ”. Why do I do this?—?what

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Five Trends for 2019

Hu's Place - HitachiVantara

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86
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How microservices and containerization make cloud migration possible at a low cost

Trigent

While agility and quick releases were on every organization’s wishlist, both seemed difficult due to the rapidly increasing size and complexity of applications. During the times as early as 2017, organizations were using them mainly for their portability. From this very need, containers were born.

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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. And the real question that will change our industry is “How do we design systems in which generative AI and humans collaborate effectively?”

Trends 118
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How containerization makes cloud migration services possible at a low cost

Trigent

While agility and quick releases were on every organization’s wishlist, both seemed difficult due to applications’ rapidly increasing size and complexity. During the times as early as 2017, organizations were using them mainly for their portability. From this very need, containers were born.

Cloud 52
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New Features and Benefits with AWS – Quarterly Update – Q2– 2022

Apps Associates

Automatic recovery improves instance availability by recovering the instance if it becomes impaired due to an underlying hardware issue. Amazon RDS for SQL Server supports the new minor versions for Microsoft SQL Server 2016, 2017, and 2019 on the Express, Web, Standard, and Enterprise Editions. FSx for NetApp ONTAP (FSxN0.

AWS 52