Remove Definition Remove DevOps Remove Microservices Remove Serverless
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Five Ways Serverless Changes DevOps

Stacks on Stacks

I spent last week at DevOps Enterprise Summit in Las Vegas where I had the opportunity to talk with many people from the world’s largest companies about DevOps, serverless, and the ways they are delivering software faster with better stability. The serverless approach has major benefits.

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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

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Free Cloud Courses at Linux Academy — July 2019

Linux Academy

DevOps Monitoring Deep Dive. Serverless Concepts. Serverless has been gaining momentum as cloud technology continues to become more widespread. This course provides a high-level overview of the concept of Serverless computing without getting into deep technical details. MicroService Applications In Kubernetes.

Linux 60
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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. The serverless craze is in full swing, and shows no signs of stopping—since December 2017 alone, the technology has grown 22% , and Gartner reports that by 2020, more than 20% of global enterprises will be deploying serverless. Google Cloud.

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5 Significant Cloud Computing Trends for 2021

RapidValue

Thus, improving data security is definitely the need of the hour. The Cloud-Native stack includes Serverless Computing , Containerization, and Orchestration Platforms. The Flexera 2020 State of the Cloud report named Serverless as one of the top five fastest-growing PaaS Cloud services.

Trends 98
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What is AIOps?

CircleCI

In this sense, the practice almost certainly predates Gartner’s definition of the term — companies at the forefront of AI research have likely been applying algorithmic processes to assist their internal operations for years. Systems have multiplied their components in the industry-wide shift to containers and microservices.

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The Future of Developer Careers

Honeycomb

The widespread adoption of containers, microservices and orchestration have made it easier than ever to take a small bit of software and push it live in front of users — and, in doing so, push a whole bunch of comfortable tasks (debugging, profiling) into uncomfortable territory: production. Hi, serverless! And thanks, Heroku.)