Drag and Drop Programming with Meraki and Node-RED

Today’s applications are dynamic, using virtualization, containerization, microservices, and workload mobility technologies, with communication patterns between application components constantly changing. The Cisco Secure Workload platform is designed to fully address these challenges, using comprehensive traffic telemetry data collected from the workloads. The platform performs advanced analytics using an algorithmic approach and provides comprehensive workload protection for a multi-cloud data center. This algorithmic approach includes unsupervised machine-learning techniques and behavioral analysis. Based on this, Cisco Secure Workload can automatically generate a micro-segmentation policy based on application behavior and including any existing security policy mandated by business requirements. On top of that, it can consistently enforce this segmentation policy across a multi-cloud infrastructure to minimize lateral movement.

In the webinar, you will learn all about this and also learn how to put it into practice using the open APIs. In the end, you will be referenced to a full training that learns you how to do it yourself!

GitOps and CI/CD provide significant benefits to a Kubernetes environment from an immutable audit trail to pre-deployment testing.

However, Kubernetes, initially, did not make use of a GitOps model but instead provides its own deployment path using writes to the Kubernetes API. There are a lot of Kubernetes users who are comfortable with the native Kubernetes API and the related CLI tool ‘kubectl’. Due to the way the Kubernetes API is designed, it is possible to use a GitOps CI/CD chain, or a kubctl API call to make a modification to your Kubernetes cluster, but you can’t do both. The current tooling makes a kubectl call incompatible with GitOps.

In this talk, we’ll cover the pros and cons of each model, and why they don’t play so well together. We also will discuss some options we are considering on how to harmonize both paths, and, if the code is ready in time, maybe even have a demo to show.

Learn how to use the Meraki Python SDK to back up and restore Internet and VPN traffic uplink preferences, as well as custom performance classes, to and from a single Excel file. This demo proves how leveraging the Meraki API and SDK can substantially streamline complex deployments or configuration rollbacks.