The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Serverless computing has taken off in recent years as engineering organizations have shied away from the complexity and cost that comes with managing physical servers and even virtual machines hosted on a cloud like AWS. If you are interested in serverless options on AWS, you should be comparing Lambda and ECS Fargate to figure out what fits your use case best. In this blog post we will compare these two AWS services in the following areas...
The blessing and curse of cloud computing is flexibility. Now more than ever, companies leveraging the cloud are being revered for their ability to scale up usage of critical applications remotely for employees working from home, while in the same breath lambasted as IT costs sky-rocket. And in the midst of soaring usage, capacity, and cost come budget-cuts to fend off any other necessary evils during this challenging time.
There are many challenges that engineering teams face when attempting to incorporate a multi-cloud approach into their infrastructure goals. Kubernetes does a good job of addressing some of these issues, but managing the communication of clusters that span multiple cloud providers in multiple regions can become a daunting task for teams. Often this requires complex VPNs and special firewall rules to multi-cloud cluster communication.
In part one of this series, I introduced you to Kubeflow, a machine learning platform for teams that need to build machine learning pipelines. In this section, we will learn how to take an existing machine learning project and turn it into a Kubeflow machine learning pipeline, which in turn can be deployed onto Kubernetes. As you are going through this exercise, think about how you can convert your existing machine learning projects into a Kubeflow one.
Hello and welcome to another issue of This Month in Qovery! Qovery helps developer to deploy their applications in the Cloud in just a few seconds. This is a monthly summary of its progress and community.
The pandemic has heightened IT leaders’ need for efficiency in managing what we’re seeing more and more as a hybrid cloud world. We recently polled IT leaders across the US and EMEA on their current challenges, changes, and goals around hybrid cloud deployments, infrastructure visibility, use of AI/ML, and more.
