DevOps Enterprise System Design 
CIO
OCTOBER 15, 2024
It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.
CIO
FEBRUARY 4, 2025
However, without a significant commitment from architects and engineers to design more efficient systems, shut down or resize underutilized resources, deploy autoscaling or adopt other cost optimization methods, many efforts fail to achieve meaningful impact. A fundamental change in approach is urgently needed.
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AWS Machine Learning - AI
APRIL 9, 2025
An example is a virtual assistant for enterprise business operations. For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. He serves as a technical advisor to startups building on AWS.
Crunchbase News
APRIL 16, 2025
This led to the rise of software infrastructure companies providing technologies such as database systems, networking infrastructure, security solutions and enterprise-grade storage. We can see a highly similar pattern shaping up today when we examine the progress of AI adoption.
AWS Machine Learning - AI
MARCH 5, 2025
Generative AI question-answering applications are pushing the boundaries of enterprise productivity. In this post, we discuss best practices for applying LLMs to generate ground truth for evaluating question-answering assistants with FMEval on an enterprise scale.
Xebia
JUNE 5, 2024
As a Java developer at an insurance company, I was really able to start to understand what solving big business problems in a large enterprise was like. There was no enterprise architecture, no J2EE (only Tomcat), and the only integrations to speak of were using an automated tool to screen-scrape a mainframe session.
CloudScaling
SEPTEMBER 29, 2016
We can all agree there’s enough muddy terminology and phraseology already, such as “cloud,” “hybrid,” and “DevOps”. Examples include mainframes, solitary servers, HA loadbalancers/firewalls (active/active or active/passive), database systems designed as master/slave (active/passive), and so on. The History.
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