Curated articles, resources, tips and trends from the DevOps World.
VANCOUVER — What is apparent with Apache Airflow, the open-source project for building pipelines in machine learning? The experience is getting even easier, as illustrated in a discussion on The New Stack Makers with three technologists from Amazon Web Services.
Before Matt Stephenson worked at Starburst Data, he used to work at Square. There, he learned some hard lessons about working with legacy Infrastructure as Code (IaC). Legacy IaC can bring a number of challenges into the lives of an engineering team. Among them:
Today, we launch a new set of APIs for Amazon Simple Queue Service (Amazon SQS). These new APIs allow you to manage dead-letter queue (DLQ) redrive programmatically.
There’s been a lot of speculation and hand-wringing about what impact ChatGPT and other generative AI tools will have on employment in the tech industry, especially for developers. But what is its potential for organizations and businesses? What new opportunities lie ahead?
Enterprises are increasingly going beyond lift-and-shift migrations to adopt cloud native strategies — the approach of developing, releasing and maintaining applications, all within cloud environments.
Every modern business collects data, but the most effective businesses know how to analyze that information and make decisions with it. If you’re looking for a sophisticated, yet cost-effective, tool that helps you glean insights from your data, Amazon QuickSight might be the answer.
With cloud adoption on the rise in the banking sector, operational resiliency is under the spotlight. Banks and financial authorities alike are keen to ensure the transition to cloud is secure and doesn’t harm customers or result in disruption.
As organizations embrace cloud computing as part of “cloud first” strategy, and migrate to the cloud, some of the enterprises end up in a multicloud environment. We see that enterprise customers get the best experience, performance and cost structure when they choose a primary cloud provider.
When we get into the nuts and bolts of implementing a disaster recovery (DR) plan, an important step is to evaluate the tech stack that’s hosting the critical applications. The techstack oftentimes determines the order of operations and execution needed to effect the DR.
Artificial intelligence is the most transformative paradigm shift since the internet took hold in 1994. And it’s got a lot of corporations, understandably, scrambling to infuse AI into the way they do business.
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