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Why AWS Lambda Pricing Has to Change for the Enterprise
AWS Lambda users pay only when their code is run. This can result in massive cost savings over long-running workloads. The advantages start to disappear quickly when AWS Lambda is employed for batch processing. Enterprises can gain significantly from the scalability of FaaS - yet a price comparison between EC2, Lambda, and Fargate, the AWS-managed container service, reveals an ugly truth.
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The Evolution of Distributed Systems on Kubernetes
At QCon in March, Bilgin Ibryam, product manager at Red Hat, gave a talk on the evolution of distributed systems with Kubernetes. You might have an answer to that, and Ibryam has one too. At the end of the article, you will find out what he thinks the answer will be.
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InfoQ 2020 Recap, Editor Recommendations, and Best Content of the Year
As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.
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Q&A on the Book Competing with Unicorns
The book Competing with Unicorns by Jonathan Rasmusson explores the culture of tech unicorns like Google, Amazon, and Spotify, and dives into the techniques and practices that they use to develop software.
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Taking Control of Confusing Cloud Costs
As cloud adoption accelerates, it’s increasingly important that organisations are able to come to grips with confusing cloud pricing and take back control of budgets to optimise spending. This article looks at the source of confusion, and how to get more clarity about costs.
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The Right Way of Tracing AWS Lambda Functions
With an emphasis on distributed tracing, this article discusses best practices for gaining and leveraging observability into AWS Lambda functions.
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Machine Learning in Java with Amazon Deep Java Library
In this article, we demonstrate how Java developers can use the JSR-381 VisRec API to implement image classification or object detection with DJL’s pre-trained models in less than 10 lines of code.
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Building .NET Applications for AWS
AWS provides a large set of online services. To use those services effectively, AWS offers .NET developers a complete SDK for building apps, and a set of toolkits for popular IDEs.
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What’s Next in DevOps?
The DevOps movement continues to grow and gain influence in the IT world and the business world at large. As the organisations become increasingly digital, the agility of our IT systems becomes critical to the life and health of the companies.
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Getting to Know Deep Java Library (DJL)
Amazon has announced DJL, an open source library to develop Deep Learning models in Java. This article details how to get started with the toolkit. The library aims to reduce number of software dependencies by enabling end-end Deep learning development in Java, rather than having to use additional technologies such as Python or R.
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Understanding Serverless: Tips and Resources for Building Servicefull Applications
There are still many misconceptions and concerns regarding serverless solutions. Vendor lock-in, tooling, cost management, cold starts, monitoring and the development lifecycle are all hot topics where serverless technologies are concerned. This article shares tips and resources to guide serverless newcomers towards building powerful, flexible and cost-effective serverless applications.
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Deploying Docker Containers Using an AWS CodePipeline for DevOps
In this walkthrough, learn how to perform continuous integration and deployment of Docker containers with no downtime using AWS CodePipeline and Amazon Elastic Container Service (ECS).