For more than five years, DC/OS has enabled some of the largest, most sophisticated enterprises in the world to achieve unparalleled levels of efficiency, reliability, and scalability from their IT infrastructure. But now it is time to pass the torch to a new generation of technology: the D2iQ Kubernetes Platform (DKP). Why? Kubernetes has now achieved a level of capability that only DC/OS could formerly provide and is now evolving and improving far faster (as is true of its supporting ecosystem). That’s why we have chosen to sunset DC/OS, with an end-of-life date of October 31, 2021. With DKP, our customers get the same benefits provided by DC/OS and more, as well as access to the most impressive pace of innovation the technology world has ever seen. This was not an easy decision to make, but we are dedicated to enabling our customers to accelerate their digital transformations, so they can increase the velocity and responsiveness of their organizations to an ever-more challenging future. And the best way to do that right now is with DKP.
As part of its recent DCOS Days event, Dutch consulting firm Container Solutions interviewed Mesosphere SVP of Marketing Matt Trifiro. If you're reading this and unfamiliar with Apache Mesos, Mesosphere or the Mesosphere Datacenter Operating System, the interview is a must-watch to learn how everything is connected in the modern datacenter and cloud -- from individual containers to modern software stacks.
Matt also addresses a few important misconceptions around Mesosphere's technology and IT, in general. He explains, for example, that:
- It is possible to simultaneously build for scale, developer productivity and to ship a minimum viable product.
- Mesosphere's DCOS is "Mesos for mere mortals." Whereas it took Airbnb weeks to stand up Cassandra on Mesos, the DCOS lets users stand up Cassandra clusters in seconds.
- The future is not about replacing operations, but rather letting them focus on important things such as security, network efficiency, and empowering developers and data scientists to move more quickly.
Watch the full interview below to see him talk about these topics in more detail.