Latest posts by JP Emelie Marcos (see all)
- Increase IT Operational Efficiency with SignifAI - April 26, 2018
- Learnings From My Discussion with Eric Yuan, CEO and Founder of Zoom - November 14, 2017
- Four Predictive Analytics Challenges Facing Site Reliability Engineering Teams - August 24, 2017
What do IT Operations teams care about?
IT operations teams are a key part of the line-of-business operations of digital companies: they are responsible for the proper delivery of the desired customer experience and any disruption to that flow negatively affects customer satisfaction, retention and ultimately spend. These organizations’ IT Ops teams need therefore to maintain a high level of performance, as measured by overall system availability, mean-time-to-remediation (MTTR) and mean-time-between-failures (MTBF).
Inefficiencies in IT Operations are the problem
Despite considerable investment in monitoring and DevOps automation, most IT operations teams are unable to fully handle the complexity of modern environments and continue to struggle fixing and preventing production issues efficiently, with consequences ranging from cost and operational inefficiencies, including burnout, to subpar customer experience, which directly impacts the company’s bottom-line.
SignifAI helps IT Operations team improve performance
SignifAI mitigates the negative consequences of ITOps complexity and overload by enabling teams to identify, triage, diagnose, fix and verify solutions to both critical and non-critical issues faster. How are these dramatic efficiencies achieved? With SignifAI’s AI and machine learning correlation engine, designed specifically for IT Operations. SREs who use SignifAI improve their operational processes in the following ways:
SignfAI efficiently correlates all the data in an IT environment, whether it be logs, metrics, events, alerts or unstructured data. This gives an ITOps team 360 degree visibility into any production issue, no matter how complex.
Focus and Prioritization
SignifAI automates the aggregation and prioritization of alerts to make it easier to focus on what matters most.
Root Cause Analysis
SignifAI automates the efficient identification of an issue’s true root cause to make it easier to focus on implementing fixes rather than identifying causes.
Documentation and Solutions
SignifAI automates the efficient documentation and the reuse of solutions so teams can avoid “reinventing the wheel” when recurring problems occur. This also enables more senior staff members to systematically transfer their knowledge to less experienced engineers.
Get Ahead of Issues
SignifAI enables teams to operate in a proactive vs reactive mode by delivering automated predictive insights. These insights inform teams of problems before they impact the production environment allowing them to make more efficient use of their time.
Want to learn more on how your team can leverage AI and machine learning to deliver more uptime and faster MTTR? Start your FREE trial of the SignifAI.