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Free Cloud Courses at Linux Academy — July 2019

Linux Academy

We will also work through some practical examples like Continuous Integration and Disaster Recovery scenarios. Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud? Essentials .

Linux 60
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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

In large enterprises, there can be a separate role of an infrastructure security engineer to perform the above-mentioned duties. Infrastructure monitoring means constant gathering and analyzing performance and health data from different assets — such as hosts, servers, databases, virtual machines, containers, etc.

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What’s Free At Linux Academy June 2019

Linux Academy

To use Docker Compose to deploy Microservices to Docker. Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104
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Your Guide To Cloud Migration Strategy: Explore Tools, Types And Best Practices

Openxcell

The goal of cloud migration is to reduce computing costs, increase capabilities, introduce new technology regularly, and scale endlessly. With a move to the cloud, you can eliminate the need to hire talented technologists to perform repetitive work to keep hardware, databases, and applications running.

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How companies adopt and apply cloud native infrastructure

O'Reilly Media - Ideas

This shift is an important part of a trend we call the Next Architecture , with organizations embracing the combination of cloud, containers, orchestration, and microservices to meet customer expectations for availability, features, and performance. AWS, Azure, and Google Cloud (15%). AWS and Google Cloud (14%).

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What’s Free at Linux Academy — May 2019

Linux Academy

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Best practices for security are covered in a conventional continuous integration and continuous deployment (CI/CD) pipeline.

Linux 113
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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability. integration) and preprocessing need to run at scale.