Why We Care About FIPS (And You Should Too)

We are very pleased to announce that we have received Federal Information Processing Standards (FIPS) Validation (CMVP Cert #3702) for the D2iQ Kubernetes Platform (DKP). With FIPS validation, U.S. public sector organizations can accelerate adoption of the D2iQ Kubernetes Platform to more quickly and securely build and deploy cloud native applications and services.


How to Reduce Overhead and Redundant Efforts in Multi-Cluster Management

Innovation. Scale. Power. These are just a few of the words used to describe the explosive impact that Kubernetes is having on the organizations leveraging it for their innovation efforts. Kubernetes gives organizations the ability to run Kubernetes clusters at scale across different cloud infrastructures and distributions. But as the number of clusters and workloads grow, it can be increasingly difficult to manage and create consistency across your organization’s digital footprint.


Kubernetes Governance: Balancing the Needs of Everyone on Your Team

The problem with a majority of governance models is that they aren’t continuous. As development teams adopt cloud native technologies and evolve to more agile methods, such as continuous flow and continuous iteration, they are up against decades of policy that assume an older model and don’t fit into a month-long sprint. While governance models need to be restructured, if they’re too restrictive, it can discourage developers and prevent innovation.

DevOps Patterns and Antipatterns for Continuous Software Updates - Baruch Sadogursky (JFrog)

So, you want to update the software for your user, be it the nodes in your K8s cluster, a browser on user’s desktop, an app in user’s smartphone or even a user’s car. What can possibly go wrong? In this talk, we’ll analyze real-world software update fails and how multiple DevOps patterns, that fit a variety of scenarios, could have saved the developers. Manually making sure that everything works before sending an update and expecting the user to do acceptance tests before they update is most definitely not on the list of such patterns.

Live Kubernetes Debugging with the Elastic Stack - Philipp Krenn (Elastic)

Your Kubernetes app is down. Your users start ranting on Twitter. Your boss is standing right behind you. What do you do? This talk walks you through a live debugging session without panicking: We are using the Elastic Stack in this demo with a special focus on its Kubernetes integration with metadata enrichment and autodiscovery in combination with APM / tracing, metrics, logs, and health checks.