Overview
Alcide: Leveraging Google Kubernetes Engine for Efficient Cloud-Native SecurityGoogle Cloud Platform |
Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms | |
Construction & Infrastructure National Security & Defense | |
Maintenance Product Research & Development | |
Cybersecurity Tamper Detection | |
Cloud Planning, Design & Implementation Services System Integration | |
Operational Impact
The adoption of Google Kubernetes Engine and Google Cloud has significantly improved Alcide's operational efficiency. The time taken to deploy new environments has been drastically reduced, enabling Alcide to scale its platform to accommodate large enterprise stacks. The use of Google's managed services has made maintaining and updating clusters much easier for Alcide, lifting much of the DevOps burden and allowing engineers to focus on more important business objectives. As Alcide continues to grow and work on new features, it is exploring new ways of making Google Cloud and Kubernetes even more efficient, such as the use of preemptible virtual machines in Kubernetes Engine to reduce costs. | |
Quantitative Benefit
Cut deployment time from 2 to 3 days to 20 minutes | |
Enabled the platform to accommodate large enterprise stacks with thousands of nodes and hundreds of thousands of workloads | |
Reduced the time to provision new clusters with easy-to-use templates in Google Kubernetes Engine | |