Felix Roberge presented this DTECK case study at Eastern Canada's Kubernetes and Cloud Native Meetups in 2019.
To see upcoming Kubernetes and Cloud Native meetups in Eastern Canada, please visit https://www.cloudops.com/workshop-calendar/#meetups
3. Who’s D-TECK
• HR Tech Company
• Based in Montreal Canada
• Trusted by 400 organizations World Wide
• Provider of a complete and accurate picture
of a person without blind spots
4. Why Psychometrics
“Psychometrics are the most scientific tools
for predicting future
performance and professional development
since 1890.”source: [1]
There are now over 2500
assessment providers
in the world.
Traditional firms are expensive.
[1] Source: James McKeen Cattell, Plucker, J. A. (Ed.). (2003).
Human intelligence: Historical influences, teaching resources.
5. D-TECK Advantages
A team of business psychologists that qualifies
assessment providers with the highest scientific
validity, Peer with a top software engineering
team.
We can help:
• Avoid gut base decision
• Hire faster and better
• Minimize hiring error
• Reduce cost
• Be autonomous
• Make your data speak
6. Business Challenges
Democratize access to Business Psychology
and help individuals, teams and organizations
reach their full potential by combining
psychometric tools and technologies.
Replicate the judgement of our business
psychologies professional skills assessment with
big-data, machine learning and automation.
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11. Technologies
• Google Cloud
• Google Kubernetes Engine
• Google Could Functions
• Google Cloud SQL
• …
• Gloo
• Helm
• Terraform
• Ansible
• https://landscape.cncf.io
12. Why Gloo
• Ease of implementation
• Community
• Responsiveness on the slack channel is amazing
• Cloud Vendor Agnostic
• Support for Serverless
• Meet are requirement
13. Architecture Review
• Running GKE in Region mode with 2 zones
• 2 replicas per node
• 50 services running increasing every 2 weeks
• Uses Kotlin, Go, NodeJS and Python
• Support 1000 request/sec on a single route
14. Next Steps
• Keep improving our infrastructure
• Add features
• Release MVP
• Keep experimenting and improving our use of Gloo
15. Next Step with Gloo
• Implement Service mesh
• Implement mtls
• Rate limiting
• Migrate toward the enterprise version
16. GLOO OPEN SOURCE
gloo.solo.io
GLOO ENTERPRISE TRIAL
solo.io/gloo-trial
JOIN THE COMMUNITY
Slack.solo.io
ABOUT D-TECK
d-teck.com
CONTACT US
info@d-teck.com
CONTINUE THE CONVERSATION
@felixroberge
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