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For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Amazon Web Services (AWS), offers a wide range of serverless solutions.
Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. and Python via traces.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions is the serverless computing offering from Microsoft Azure.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions is the serverless computing offering from Microsoft Azure.
When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. What are the typical use cases for AWS Lambda?
Effective application development requires speed and specificity. FaaS enables developers to create and run a single function in the cloud using a serverless compute model. But AI-driven solutions that empower cloud-native observability can help your team keep tabs on functions across multiple serverless cloud applications.
In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. Dynatrace news.
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Our friends over at ZEIT’s Now global serverless deployment platform whipped up a great tutorial for WordPress5-on-Now using cheap MySQL hosting instances from ScaleGrid. Powered by `php-fpm` (soon as a Lambda layer directly). ? Want to deploy WordPress 5.0 on the Now platform by ZEIT ? pic.twitter.com/WwyNBg4q30.
Formal foundations of serverless computing Jangda et al., won a distinguished paper award at OOPSLA this year for their work on ‘Formal foundations of serverless computing.’ They show the conditions under which a serverless function can safely ignore these peculiarities, and thus become much simpler to reason about.
Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ Cross-function communication should work at wire speed. arXiv 2020. Evaluation.
At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. Amazon Lambda. One of the most exciting technologies we have built lately at AWS is Amazon Lambda.
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Web development is evolving at a rapid speed with each passing year. Serverless Architecture. And so, it optimizes the page loading speed and reduces the bounce rate. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Serverless Architecture. API Blueprint.
In this issue of Serverless Insights I’m going to focus on announcements from re:Invent, and “pre:Invent”?—?the Specifically I’m almost entirely going to focus on Serverless, and Serverless related updates. Serverless, and related announcements, at re:Invent 2018 The fountains at the Bellagio?—?still
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OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software
Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Using Lambda@Edge and Cloudflare Workers you can already perform A/B testing, authentication, and authorisation, intelligent routing, etc.
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