Accident (rectifications) will happen, Cohesity automates disaster recovery

Automation is everywhere. 

You can almost see it on the technology industry’s next batch of branded conference t-shirts… if, of course, we ever get to a point where we can start to re-engage at the various industry symposia that we all know and (occasionally) love.

But what the statement means in real terms is: automation in the form of Artificial Intelligence (AI) and Machine Learning (ML) that works to give us neural-like advancements for different classes of automation that result in autonomous controls to perform tasks more normally associated with human technical workers, is everywhere.

Yeah, but, good luck with fitting that on a t-shirt, right?

So if automation is everywhere, shouldn’t it apply to every function from base-level programming itself [AI-enrichments for developers] to ongoing operations-based automation [autonomous DevOps controls and DevSecOps if you like your portmanteaus tripled up] sideways to data analytics centric automation [automated analytics engines that work inside business applications to provide so-called ‘data democracy’ for non-techies] and onwards to automated disaster recovery [controls that rectify system failures] and beyond to automated whatever comes in the next paradigm shift?

Answer: yes, automation controls do exist in disaster recovery.

IBM is doing it, Microsoft is doing in (predominantly as an element of Azure these days), Zerto is doing it Arcservce and Carbonite are doing elements of it… and mass data fragmentation focused data management specialist Cohesity is doing it.

The company has now come forward with Cohesity SiteContinuity, an automated disaster recovery solution integrated with the company’s backup and continuous data protection capabilities – its development team claim that this technology is the only web-scale converged solution to protect applications across tiers, service levels and locations on a single platform. 

Natural disasters really happen

Matt Waxman vice president of product management at Cohesity says that as software stacks become ever more complex and componentised, there are of course always disaster recovery requirements for organisations looking at the risk of ransomware attacks, natural disasters or human error. 

“With that backdrop, this is an ideal time for IT leaders to rethink how they can simplify IT operations while also reducing costs with an integrated, web-scale, converged backup and disaster recovery solution. With Cohesity SiteContinuity, organisations can recover a single file, critical business application, or an entire data center with just a few clicks, automating recovery operations spanning across application tiers and on-premises and public cloud environments.”

Waxman explains that his firm’s software simplifies the challenge organisations face in trying to manage complex hybrid and multi-cloud IT environments with numerous applications running across multiple tiers with varying service levels during the course of normal operations.

Cohesity’s software offers converged backup and automated DR on a single platform with automated failover and failback orchestration for near-zero downtime. 

Cohesity’s converged backup and disaster recovery solution provides:

  • Simplified operations: Consolidate backup, continuous data protection and automated disaster recovery on a single platform, managed through one global UI and a unified policy framework, across application tiers, service levels and environments.
  • Near-zero application downtime and data loss: With a few clicks, automatically orchestrate failover and failback of a single application or an entire site, ensuring minimum data loss and downtime as business applications are rapidly recovered in a disaster scenario. 
  • Flexible recovery: Journal-based recovery helps to meet varying service levels across application tiers by restoring to any point in time — including days or even seconds before the disaster hit, on-premises or to the public cloud.
  • Machine learning-based ransomware detection and recommendation: At the time of failover and/or restore, Cohesity Helios’ machine learning algorithm helps identify a clean point in time to restore. This helps protect the DR site from malware impact during the failover process.
  • Disaster testing: Meet DR compliance objectives with confidence through end-to-end automated non-disruptive disaster recovery testing, including complete audit trail reporting.

Where next for automation then? Only the bots know…

Approved image use: Cohesity

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