This course specifically deals with some advanced, real-world use-cases involving the use of GKE including rolling updates and rollbacks, managing cluster security and networking, and implementing CI/CD pipelines with Jenkins and the GKE.

The GCP offers several services related to networking and load balancing that is used to obtain a highly optimized and scaling infrastructure. Such as Cloud CDN for fast serving of web content and GCP-optimized load balancing for container clusters.

This course covers the core choices around compute, storage and networking, and demonstrates how complex architectures can be assembled relatively easily by putting together the powerful building blocks that the GCP provides.

Join Greg Ceccarelli, General Manager of Pluralsight Flow, Nicole Forsgren, PHD and Co-Founder of DevOps Research and Assessment, and Dan Carpenter Agile Methodology Leader at Liberty Mutual for a panel discussion as they discuss all things DORA metrics.

Explore how to use data insights to inform and improve iterative product design processes.

Cloud Memorystore is a new addition to the Google Cloud Platform. It provides a fully managed, cloud-hosted Redis service, allowing you to cache common responses on GCP-hosted web applications, providing your users low latency and high performance.

This course focuses on the design and implementation of security scanning, protection against Distributed Denial of Service (DDoS) attacks and security auditing. The course also covers the use of the Data Loss Prevention API in protecting sensitive data.

Cloud Firestore is a cloud-hosted NoSQL, document-oriented database where documents are made up of fields and stored in collections. Firestore is a fully-managed service which allows realtime updates to keep data in sync across multiple clients.

In today’s fast-paced world, enterprises seek no-code or low-code solutions. This course will teach you how to use ServiceNow lists and filters to comprehend the data.

Developers and app architects need to understand what kind of load balancer to choose, and why. This course covers the essential load balancing options available on the GCP and demonstrates their use in combination with other GCP technologies.

This course focuses on network interconnections where one or both of the connected networks are on the GCP. This includes understanding peering and interconnect as well as how shared VPCs and static and dynamic VPN are implemented.

This course introduces important resources for data science, including visualization libraries, deep learning frameworks, and cloud-based environments. It also explores BigML and Google Colab—powerful resources for building and sharing analytics.