4 Awesome Open Source Tools for Efficient Cloud Management
Considering the phenomenal growth of open source over the last decade, it wouldn’t be surprising to know that open source technologies are now commonly used in traditional on-premise systems. But traditional on-premise systems are slowly going obsolete today as the cloud dominates.
Businesses are now investing in moving their workloads to the cloud which will require the usage of certain specific tools. This is where open source comes in. When shifting to the cloud, it’s best to start with great management tools. There are cloud-compatible open source tools specifically designed for resource management. Many companies also prefer open source software development to custom-build a tool that fits perfectly well with their business ecosystem.
This blog lists a few effective open source cloud management tools that will make things easier for a business migrating to the cloud.
Rhymes well with DevOps, doesn’t it?
That’s because the tool was built around the concept of DevOps and is ideal for a multi-cloud architecture. Released under the Apache 2.0 license by Walmart Labs, OneOps is officially described as a cloud management cum application lifecycle management platform. As such it rivals popular tools like Chef, Puppet etc.
OneOps is useful for all clouds that leverage OpenStack cloud environments be it public, private, or hybrid. It also goes well with Microsoft Azure services or AWS. With OneOps, a business will be able to create virtual instances, maintain them, and configure security settings in addition. But that isn’t all it can do with its biggest feature being facilitating application migration from one cloud to another.
It won’t be wrong to assume that Docker is the world’s most popular container technology. The open source technology is already considered a premium standard as a platform for container development as well as deployment.
With Docker’s open source orchestration services – Machine, Swarm, and Compose, organizations will find container management much easier and more effective.
- Machine – To automate Docker container provisioning. Facilitates integration with Apache Mesos granting capabilities of bigger-scale.
- Swarm – To scale container-enabled applications with a pool of container hosts. Can be used to resolve cluster management issues including scheduling.
- Compose – To link containers together so they function as a group. Makes managing widely distributed container clusters easier.
The most dominant force to be reckoned with in the container management sector for public and private clouds, Google’s Kubernetes is a celebrated open source container orchestration system with its open source framework even adopted by many tech giants including Microsoft.
With Kubernetes, organizations can distribute their containers across a cluster of cloud machines while the technology efficiently deals with scaling and service management issues. Kubernetes is compatible with a plethora of cloud and data center services including Azure, AWS, and Apache Mesos.
Mesos, another open source tool, is also a great option for cloud management. What makes it unique is that it also makes it easier to manage traditional hardware and software along with clouds akin to how a single computer is managed. It’s sometimes referred to as a ‘distributed systems kernel’ that facilitates effective management of thousands of servers using containers. Mesos complements large, distributed databases like Hadoop.
Over the next couple of years, new cloud computing technologies and trends will emerge and several approaches your organization uses now may require drastic changes. Additionally, there will be advancements in open source technologies to consider as well; like when the advent of the MEAN stack led to the slow decline in demand for LAMP development services.
The complexity of open source cloud management tools is likely to go up a notch in the coming times. This means organizations should keep themselves updated on how things are changing around their business’ cloud ecosystem to figure out optimum approaches and the rights tools to derive the best results.