Red Hat X Podcast Series

As enterprises embark and travel on their Kubernetes Journey, broad deployment of containerized applications are often delayed by the challenges of driving alignment across the stakeholders of Networking, Security, Compliance, and DevOps teams. In this podcast, we visit with Amit Gupta, the VP of Product Management and Business Development for Tigera. Tigera is the inventor of Calico, the most widely deployed Kubernetes CNI in the world with over 150,000 known clusters. Amit will discuss how Calico and Calico Enterprise integrate with OpenShift to address the network security and compliance challenges and consequently accelerate your Kubernetes deployments.

Kubernetes was originally created as a platform for App development and management. Hear why VP of Product/Engineering and Starburst co-founder Matt Fuller thinks K8n’s is undergoing a change in identity that will transform enterprise big data architecture. Matt will discuss the new role of K8ns in data platform modernization why Starburst and Presto are partnering with Red Hat to help customers on this journey.

According to 451 Research, 95% of new applications being developed are containerized. Developers and operators need to rethink the fundamentals of Infrastructure to run containerized applications across multiple dimensions such as security, network, storage,  performance, scalability and TCO.

Join Naren Narendra, Director of Product Marketing at Diamanti as he discusses how Diamanti and Red Hat bring together the industry leading turnkey cloud native HCI platform with significant TCO savings and unprecedented performance. Diamanti offers built-in security, QoS, Disaster Recovery (DR) and Data Protection (DP) services for applications running on Red Hat OpenShift Container Platform.

As cloud native becomes the standard for application deployment, IT roles must adapt. Cloud teams are taking ownership for security, as well as application performance and availability. As a result they need tools and processes that support a secure DevOps workflow for Kubernetes and containers in production.
Join Eric Carter, Director of Product Marketing at Sysdig as he discusses how DevOps teams are working to embed security, compliance and performance into their build, run, and respond workflows without impacting the deployment speed and the user experience. In addition, he’ll talk about how Ford Motor Company has achieved its goals for agility and efficiency that reduced app provisioning from 3 months to only 3 minutes.

NGINX (now a part of F5) is making one of its deepest partnership investments by broadening our integrations with Red Hat solutions. Join Jenn Gile, NGINX alliances product marketer, to hear how Red Hat and NGINX solutions provide secure, scalable, and supported application delivery - no matter where your organization is on the journey from monolithic to microservices.
This partnership spans six products: Red Hat Enterprise Linux, Red Hat Ansible Automation Platform, Red Hat OpenShift, NGINX Plus, NGINX Controller, and NGINX Kubernetes Ingress Controller.

Enforcing security and compliance requirements in modern cloud-native pipelines can be a challenge. The increased attack surface of container infrastructures makes security even more important, but security and DevOps teams can’t afford to slow the pipeline with manual processes. In this podcast, NeuVector VP of Product Management Glen Kosaka will share best practices for integrating and automating critical security tasks into your pipeline so that security requirements don’t slow or break the pipeline.

Kubernetes is complex, so secure default settings are vital to deploying it safely. The hyper-dynamic nature of containers creates Kubernetes-centric security challenges like increased attack surfaces, explosion of east-west traffic and increasingly complex and ephemeral workloads, making it critical for new Kubernetes users to approach it with caution.

Join Biagio DeSimone, Solutions Architect at Aqua Security, to learn about security best practices in Kubernetes environments.

Containers and serverless functions run in highly orchestrated environments that are not predetermined – the same apps could run on different clouds and on-prem. They may run for very short periods of time, scale up and down as needed, and have very dynamic networking needs. In such environments, traditional security simply does not meet the newfound requirements for securing microservice architectures at scale.

Join Matt Garofalo, Solutions Architect at Aqua Security, to learn about security best practices in highly distributed containerized environments.

Federator.ai uses advanced AI/machine learning technologies to analyze customers’ application workloads on OpenShift and then predict their future workload demands and resources required at different time scales (minutes, hours, days, weeks, etc).  Federator.ai is installed as an Operator on OpenShift, enables OpenShift customers to:

a.  Determine the optimal amount of cloud resources (CPU, GPU, Memory etc) for each of their applications at scale, and support different application requirements (e.g. mission critical vs cost sensitive) without the need for significantly over-provisioning their resources or worrying about not having enough resources;

b.   Determine the best instances and costs from AWS, Azure, GCP in supporting their application workloads;

c.   Enable effective capacity/resource planning and auto-scale their applications on OpenShift clusters.

While containers were originally intended to be short-lived, the reality of enterprise data management meant that application data should extend beyond the lifetime of any single container. Data persistence was added to container infrastructures, creating the need for backup mechanisms to protect container data.

Recent implementations of container technology store application data on the same host as the container. If the container is lost, the application data is lost as well. 

Join Murali Balcha, CTO at Trilio, as he discusses Container Application Resiliency and lifecycle management in both CICD pipelines and production environments when designing a Kubernetes application.