From time to time, Marten Mickos, CEO of Eucalyptus Systems, visits to talk about the trends he sees in the market or to discuss a new product. This time, the focus was on the release of Eucalyptus 4.0. The goals of this release are to increase the scale of cloud environments and make it it possible for IT administrators and DevOps to easily deploy and manage on-premise, off-premise, and hybrid AWS-compatible cloud environments.
Here's what Eucalyptus points out as the key advancements offered by Eucalyptus 4.0
- Scalable Object Storage – pluggable gateway service to handle massive data volumes. Supports proprietary and open source storage solutions, including RiakCS.
- Edge Networking – simplifies installation and configuration by enabling Eucalyptus to be deployed into existing network topologies. Shifts application network traffic to node controllers to avoid bottlenecks and support larger clouds.
- Cloud Service Availability – support large numbers of concurrent users by allowing scale-out deployment of user facing services such as EC2 and S3.
- Mobile Friendly User Console – dramatically redesigned to support use with mobile devices and traditional PCs. Architectural improvements enable the console to better support management of cloud resources at scale.
- Deeper AWS Compatibility – expands the breadth and diversity of cloud workloads that can seamlessly shift between public and private clouds
Amazon's AWS is the big dog in cloud platforms. Eucalyptus has long offered an open source cloud stack that would allow enterprises to deploy AWS-compatible on-premise and hybrid cloud environments as well as manage their current AWS cloud workloads. This release appears to focus on two things 1) taking another step to make the resulting cloud computing environments easy to develop, deploy, and manage and 2) making these cloud-computing environments scale better and be able to handle larger workloads.
Eucalyptus 4.0 includes a number of enhancements that should help customers by:
- Allowing them to deploy scale-out storage models that would increase the amount of data that can be stored, improve overall storage performance, and address reliability concerns
- Allowing cloud computing workloads to use existing network infrastructure
- Allowing the use of multiple instances of front-end services to provide both scalability, load balancing, and improved reliability
- Allowing customers to dynamically adjust cloud services configurations to scale up to handle larger workloads, scale down to reduce costs, or merge separate cloud instances
- Offering better management tools for hybrid cloud environments that include both on-premise and off-premise resources
- Continuing the journey to maintain compatibility with an ever-changing AWS environment
This release is going to be of most interest to customers who are focused on AWS as their cloud platform. Those focused on Google Engine, Microsoft Azure, OpenStack, or CloudStack are likely to continue using their current platform.