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Welcome to Application Modernization! We've gathered insights from leading enterprises and experts on application modernization to enable your team to develop, secure, deploy, and monitor apps. Get started now!

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Shifting Down: A New Way to Cloud for Developers

Application developers are the backbone of the modern cloud economy. The role of developers is felt in the seen and the unseen, from the smartphone apps we use every day to the network optimization that is powering a sustainable future. Given your importance in transforming so many fundamental aspects of

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Centralized Analytics: Apigee and Cloud Run API Management

Most enterprise companies enforce strict requirements for how APIs should be exposed to the public internet that require centralized handling of the authentication credentials, the collection of metrics metrics and other classic API management capabilities. Before the introduction of sidecars in Cloud Run, developers either had to implement these requirements

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Deploying Ray on GKE: Distributed Computing Made Easy

The rapidly evolving landscape of distributed computing demands efficient and scalable frameworks. Ray.io is an open-source framework to easily scale up Python applications across multiple nodes in a cluster. Ray provides a simple API for building distributed, parallelized applications, especially for deep learning applications. Google Kubernetes Engine (GKE) is a managed container orchestration

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Streamlining Business Processes with Google Cloud’s Application Integration

According to a recent Accenture report, large businesses deploy an average of 500 different applications. This trend shows no signs of slowing down, with the majority of respondents signaling plans to acquire even more applications. No surprise, all these applications present a number of integration challenges, which the impending wave of

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Streamlining Workflow Executions: Using Cloud Tasks in Google Cloud

Introduction In my previous post, I talked about how you can use a parent workflow to execute child workflows in parallel for faster overall processing time and easier detection of errors. Another useful pattern is to use a Cloud Tasks queue to create Workflows executions and that’s the topic of this

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Harnessing the Power of AI with Google Cloud: What Every IT Pro Needs to Know

As an IT architect or IT professional, you are essential to the success of your organization, responsible for designing, building, and maintaining the IT systems that your businesses and governments rely on. As if that wasn’t enough, you’ve also got to constantly learn and adapt to keep up with the

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