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Autonomics systems is an exciting new arena within cloud computing, although it is not a new technology by any means. Automation, orchestration and optimization have been alive and well in the datacenter for almost a decade now. Companies like Microsoft with System Center, IBM with Tivoli and ServiceNow are just a few examples of platforms that harness the ability to collect, analyze and make decisions on how to act against sensor data derived from physical/virtual infrastructure and appliances.

Autonomic cloud capabilities are lighting up quickly across the cloud ecosystem. The systems can monitor infrastructure, services, systems and make decisions to support remediation and healing, failover and failback and snapshot and recovery. The abilities come from workflow creation, runbook and playbook development, which helps to support a broad range of insight with action and corrective policy enforcement.

In the compliance world, we are seeing many great companies come into the mix to bring autonomic type functionality to life in the world of security and compliance.

Evident is a great example of a technology that functions with autonomic-type capabilities. The product can do some amazing things in terms of automation and action. It provides visibility across the entire cloud platform and identifies and manages risk associated with the operation of core cloud infrastructure and applications within an organization.

Using signatures and control insight as well as custom-defined controls, it can determine exploitable and vulnerable systems at scale and report the current state of risk within an organization. That on face value is not autonomic, however, the next phase it performs is critical to why it is a great example of autonomics in action.

After analyzing the current state of the vulnerability and risk landscape, it reports current risk and vulnerability state and derives a set of guided remediations that can be either performed manually against the infrastructure in question or automated for remediation to ensure a proactive response hands off to ensure vulnerabilities and security compliance can always be maintained.

Moving away from Evident, the focus going forward is a marriage of many things to increase systems capabilities and enhance autonomic cloud operations. Operations management systems in the cloud will light up advanced Artificially Intelligent and Machine Learning-based capabilities, which will take in large amounts of sensor data across many cloud-based technologies and services and derive analysis, insight and proactive remediation – not just for security compliance, but across the board in terms of cloud stabilization and core operations and optimization.

CloudHealth Technologies and many others in the cloud management platform space are looking deeply into how to turn the sensor data derived into core cloud optimization via automation and optimization.

AIOps is a term growing year over year, and it fits well to describe how autonomic systems have evolved from the datacenter to the cloud. Gartner is looking deeply into this space, and we at 2nd Watch see promising advancement coming from companies like Palo Alto Networks with their native security platform capabilities along with Evident for continuous compliance and security.

MoogSoft is bringing a next generation platform for IT incident management to life for the cloud, and its Artificial Intelligence capabilities for IT operations are helping DevOps teams operate smarter, faster and more effectively in terms of automating traditional IT operations tasks and freeing up IT engineers to work on the important business-level needs of the organization vs day-to-day IT operations. By providing intelligence to the response of systems issues and challenges, IT operations teams can become more agile and more capable to solve mission critical problems and maintain a proactive and highly optimized enterprise cloud.

As we move forward, expect to see more and more AI and ML-based functionality move into the core cloud management platforms. Cloud ISVs will be leveraging more and more sensor data to determine response, action and resolution and this will become tightly coupled directly to the virtual machine topology and the cloud native services underlying all cloud providers moving forward.

It is an exciting time for autonomic systems capabilities in the cloud, and we are excited to help customers realize the many potential capabilities and benefits which can help automate, orchestrate and proactively maintain and optimize your core cloud infrastructure.

To learn more about autonomic systems and capabilities, check out Gartner’s AIOps research and reach out to 2nd Watch. We would love to help you realize the potential of these technologies in your cloud environment today!

-Peter Meister, Sr Director of Product Management

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