This week we are excited to announce our next release of Mantl that introduces Kubernetes integration with Consul which enables Kubernetes services to automatically get registered in Consul and all the enhanced networking and security capabilities of
When developing applications, one to the first obstacles we encountered was around installing applications and frameworks. To address this complicated ecosystem, we developed a service framework and API. The Mantl API is a feature built in to Mantl
At Cisco, we are continuously working with our Enterprise and Service Provider customers on the many issues they are facing with the transition to Cloud Native and Hyperscale in the datacenter. What we have discovered is that with this transition
This week we are very pleased to release version 0.8.0 of minimesos. This new release contains many improvements, bug fixes and new features. The two most important features are that minimesos now ships with Weave Scope and HashiCorp’s Consul. In this
Apache Mesos, it’s fair to say, is a battle-hardened system for treating your whole data center as one pool of resources. Through the use of frameworks and their APIs, it’s possible to manage and schedule resources across both data centers and
Today, the Cloud Native Computing Foundation (CNCF) announced that their first project accepted is Kubernetes. This is an important initial milestone as this represents the first core functional component of a CNCF solution. There will me more core
Introduction The proliferation of a containers, public and private clouds and orchestration applications like Kubernetes and Apache Mesos have helped to ratify the use of microservices in production environments. Pini Reznik wrote a great blog
Authors Ken Owens (@kenowens12), Keith Chambers (@keithchambers), and Jason Plank (@_japlank_) Over the last few years, we’ve heard a lot about ways of designing new software applications. Out of this, we’ve heard a lot about “Microservice
Following part one of our Big Data in Security series on TRAC tools, I caught up with talented data scientist Mahdi Namazifar to discuss TRAC’s work with the Berkeley AMPLab Big Data stack. Researchers at University of California, Berkeley
