Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Meet Alcide
Cybersecurity has never been more important but keeping up with evolving technology standards can be a complicated, resource-intensive task. As organizations increasingly embrace the convenience of the cloud, security protocols have to adapt as well. Alcide aims to provide a complete security solution designed specifically for cloud-based infrastructure. With a single platform, customers gain access to a threat intelligence solution using the company's proprietary machine learning algorithms, a deep level of visibility into their systems, and security segmentation at the microservices level.
The Challenge
Alcide needed to optimize its Kubernetes-based security platform architecture. Manual cluster provisioning took 2-3 days even for experienced DevOps staff. The company's limited resources were stretched thin by time-intensive maintenance and security management tasks.
The Solution
Alcide migrated to Google Kubernetes Engine for managed Kubernetes clusters. The company implemented deployment templates and integrated Container Registry, Cloud Load Balancing, Stackdriver logging, and Google Cloud IAM for comprehensive cloud infrastructure management.
Results
- Reduced cluster provisioning time from 3 days to 20 minutes
- Scaled platform to handle thousands of nodes and hundreds of thousands of workloads
- Freed engineering resources from DevOps tasks to focus on business logic and application development
For a startup like ours, we want to move fast, close the gaps with our customers, and provide as much feature functionality as we can. Google Cloud Platform lets us concentrate on writing our own business logic and implementing the application, without having to worry about the infrastructure.
Gadi Naor, CTO & Co-Founder
The Result
After assessing its options, Alcide decided that Google Cloud offered the most stable and secure solution for the company. Google Kubernetes Engine was the core of the new system, providing easy provisioning of new clusters and built-in maintenance tools. Alcide's developers spent time working on a deployment template that fit their needs. Once that was in place, creating new environments from scratch was quick and simple. In addition, Alcide used Container Registry to maintain its container images, Cloud Load Balancing to keep its service smooth even with high volumes of traffic, and Stackdriver for logging each one of its clusters.
Reduced Deployment Time for Increased Productivity
Kubernetes Engine and Google Cloud have enabled Alcide and its security platform to achieve a new level of elasticity by slashing the time taken to deploy new environments. Provisioning new clusters used to take two to three days, but with templates in Kubernetes Engine, they can now do it in 20 minutes. This has helped Alcide scale its platform to accommodate large enterprise stacks with thousands of nodes and hundreds of thousands of workloads. Meanwhile, Google's managed services made maintaining and updating clusters much easier for Alcide.
What's Next
As Alcide grows its business and works on new features, it continues to explore new ways of making Google Cloud and Kubernetes even more efficient. The company is currently looking at the option of preemptible virtual machines in Kubernetes Engine to reduce costs while new features in Container Registry allow for built-in image scanning for vulnerabilities. It's something they've recently started to explore, and it helps them deliver a much more secure workload in the design period.
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