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(DeveloperWeek) : So You Think You Know the Behavior of Your Containers? Would You Stake Your Job on It?

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John Day
DeepFactor, Customer Success Engineer

John Day is a 20+ year veteran creating compute, networking and storage infrastructure solutions for software, ASIC and hardware development organizations at large IT enterprise organizations. For the last 5 years, John has specifically focused on creating cloud native platforms and techniques with declarative code for deploying containers and microservices in a Continuous Integration & Continuous Delivery (CI/CD) pipeline.

Mike Larkin
DeepFactor, Founder & CTO

Author of OpenBSD Hypervisor VMM. Guest Faculty at San Jose State University for 18 years. Serial Entrepreneur Founder/CTO at RingCube (acquired by Citrix). Holds numerous patents. Avid peak bagger, climbed over 1000 summits.


You’ve developed a fabulous application in a container/Kubernetes Continuous Integration (CI) pipeline. The application works like it should, and the static scans look secure, but, is it actually operating securely? Are any 3rd party components you’ve integrated doing something they shouldn’t be doing? How do you know?

To be confident about the behavior of your app, active inspection of running binaries within a container, utilizing live telemetry is key. Pre-production observability enables this by filling the gaps that static code (SAST) and dynamic external inspections (DAST) don’t cover.

During this technical session, you’ll see pre-production observability in action and the benefits the solution delivers to developers and their teams. Mike Larkin, CTO at DeepFactor, and John Day, Customer Success Engineer at DeepFactor, will discuss a straightforward method to obtain this information from any container to deliver extracting metric data with minimal overhead. This information can then be processed to indicate issues that may affect the unknowing behavior of your container be it security, performance, or operational intention. You’ll leave this session armed with the knowledge to immediately leverage pre-production observability to consistently deploy apps with confidence.