Continuity Software Releases AvailabilityGaurd Predictive Analytics to Curb Automation Risks

By CIOReview | Tuesday, September 29, 2015

NEWYORK, N.Y: There has been a swift transition towards software defined datacenter, giving greater controllability to IT organizations, but with that also comes the risk of misconfiguration, which at times can spoil the advancement of the so called linear automation. Safeguarding the situation, Continuity Software, a provider of IT Operations Analytics for infrastructure outage prevention, introduced AvailabilityGaurd software to enhance the enterprise IT teams with advanced predictive analytics, risk detection, and outage prevention capabilities across its software-defined datacenters.

The award winning version 7 of the solution allows IT organizations to proactively identify and mitigate hidden design and deployment flaws which may cause downtime risks, single-points-of-failure, and deviations from best practices across the entire infrastructure. The service ensures resiliency, high availability, and operational excellence with the help of the IT Operational Analytics capabilities.

“If certain configuration deviates from best practices, automation only helps it spread faster and makes it more difficult to pinpoint. AvailabilityGuard is a safeguard against the diffusion of bad practices and risky configurations throughout the infrastructure," says Doron Pinhas, CTO, Continuity Software.

The advanced analytics enables IT teams to ensure that all systems of the respective Software Defined Data Centers are properly configured according to the best vendor practices and internally-defined standards across all virtual and physical layers. It does so by performing daily verification of the entire IT module to identify single-points-of-failure and other configuration risks while reducing time and effort associated with pre-rollout testing.. It offers actionable recommendations for applying best practices while also measuring KPIs that support continuous improvement to establish safer and more agile practices.

Furthermore, the platform provides a blueprint for safer transition towards automation by verifying the existing environment to ensure a clean start, validating the correct programming of automation scripts, followed by ongoing automated validation.