Curated articles, resources, tips and trends from the DevOps World.
Today AWS Step Functions expands the number of supported AWS services from 17 to over 200 and AWS API Actions from 46 to over 9,000 with its new capability AWS SDK Service Integrations.
The release of Laravel 8 introduced us to many great new features, and I think it is one of the best releases we have ever had! 🎉 😍 However, to me, the schema dump command is far by the most useful for me in some personal projects and for the large projects I work on every day at work.
Inspired by the big names in the Laravel and wider development community I have always wanted to start a blog. Mostly, I will write mostly about things I learn and practices I follow while maintaining several large applications at my work and in personal projects.
Whether you’re already in the cloud or migrating to the cloud, ongoing skills development is a critical success factor. The range of tools and features from cloud vendors and third parties is vast, and it’s continually expanding.
You are building and managing resilient applications to serve your customers. Building distributed systems is hard; maintaining them in an operational state is even harder. The question is not if a system will fail, but when it will, and you want to be prepared for that.
Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML).
We launched the Canada (Central) Region in 2016 and added a third Availability Zone in 2020. Since that launch, tens of thousands of AWS customers have used AWS services in Canada to accelerate innovation, increase agility, and to drive cost savings.
Many of our customers are telling us they want to move away from proprietary database vendors to avoid expensive costs and burdensome licensing terms. But migrating away from commercial and legacy databases can be time-consuming and resource-intensive.
We recently introduced Amazon EC2 M6i instances powered by the latest generation Intel® Xeon® Scalable processors with an all-core turbo frequency of 3.5 GHz, which offer customers up to 15% improvement in price performance compared to M5 instances.
There are more applications today for deep learning than ever before. Natural language processing, recommendation systems, image recognition, video recognition, and more can all benefit from high-quality, well-trained models.
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