Cloud Computing
Showing 1369–1380 of 1564 results
SRE: A Deeper Dive
This course introduces Site Reliability Engineering (SRE) as well as key tenets of SRE and how to promote an SRE culture for maximum effectiveness.
Stabilizing and Reinforcing H-E-B’s Curbside Fulfillment Systems While Reinventing Them
While going through the process of reinventing H-E-B's curbside and home delivery fulfillment systems, we had to spend significant effort to stabilize and reinforce the existing mission-critical systems.
Statistics.comX: MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.
Statistics.comX: MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform
Statistics.comX: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.
Statistics.comX: MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform.
Storage
This course introduces the storage options available for IBM Cloud for VMware Solutions. You will recognize the different workloads, and which tiers they belong to.
Storage Considerations for SAP on IBM Cloud
This course includes information on storage considerations for different Infrastructure-as-a-Service (IaaS) environments.
Storage Replication and Failure Domains
This course introduces the concepts of data and storage replication, along with failure domains and the infrastructure used to ensure high availability.
Storage Security Options
This course explains how role-based access control (RBAC) is used to secure solutions built on IBM Cloud®, the encryption options available on IBM Cloud, including the encryption options for storage.
Storing and Managing Data with Postgres on Heroku
This course will teach you to set up Postgres on Heroku efficiently, so you can build robust data-driven applications.
Storing and Managing Data with Redis and Apache Kafka on Heroku-18
As distributed web applications become more common, it’s very important to pay attention to caching, messaging, and event storing for scalability and reliability. This course will teach you how to leverage Redis and Apache Kafka in Heroku platform.