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Rancher: Cloud Native Telco Evolution: From Virtualized to Containerized Network Functions

From purpose-built hardware to virtual machines and now containers, service providers and telcos are re-thinking how they deploy and deliver cloud and network services. These service providers are on a journey to break down their monolithic stacks into small, reusable components that are consistent with a micro-services architecture.

Rancher: How to Secure Production Kubernetes and Service Mesh Workloads on Rancher

As more container deployments move into production there will be an increasing level of attacks on application containers and the orchestration tools to manage them. The success of Kubernetes has been a major enabler for the "service mesh" concept to become a reality, as a "sidecar" container is the ideal form-factor for service mesh functions to be placed together with the service itself.

Rancher: Applying the Site Reliability Engineering (SRE) "Golden Signals" to your Kubernetes cluster using Prometheus and Slack

Understanding how to monitor the "Golden Signals" of Site Reliability Engineering (SRE) in your Kubernetes cluster(s) is an important skill for any engineer, especially for Day 2 Operations. Fortunately, there are some very useful, powerful, and open source tools and technologies out there for accomplishing these tasks. This training session will go over how to monitor these "Golden Signals" in a Kubernetes cluster using Prometheus and Slack.

Rancher: The Three Pillars of Kubernetes Observability

The three pillars of observability are metrics, logs, and traces. To get a complete view into your applications as well as the Kubernetes platform they run on, you need to be looking at all the different perspectives. In this session, we will look at each pillar to see how we can use the information collected to understand what is happening in our environment today and how to troubleshoot the problems we experience tomorrow. We will share how to do this using various open source tools as well as using the Datadog platform.