The rise of digital, as we entered the digital economy offers organizations opportunities to innovate and scale more efficiently. But managing DigitalOps is a whole new world, where every moment is a moment of truth in real time. Customers demand perfection, and organizations have seconds, not hours, to solve digital problems, otherwise suffer growing volumes of lost revenue, churned customers, and lost productivity. This the importance of DigitalOps can not be down play and mission critical for modern and future digital transformed enterprise.
In the age of real-time expectations, the responsibility for getting things right is now happening at the grassroots level. The people touching the technologies and users, they must be empowered to make the right decisions in real time, all the time. Real-time operations is the new paradigm for operations where every team and team member, department, and leader is involved, informed, and aligned around the best plan of action when seconds matter.
Organizations need a real-time operations solution leverage digital infrastructure and operation platform, that is DigitalOps, need to meet the following criteria:
1.Team empowerment in the face of complexity
Teams being empowering and allow to decipher a complex universe of digital signals and immediately identify the right plan of action to prevent or respond to an incident.
2.Actionable insights in seconds
Teams are empowered to draw conclusions from data immediately, understanding root cause, adjacent dependencies and business impact, and more in seconds. The unnecessary intervention from the operation and management for the said management control should be minimized.
3.Proactive prevention of incidents
Teams can identify and prevent potential incidents before they occur by implementing automated resolution before the business is impacted. Proactive and prevention automation driven solution is implemented to allow enterprise leverage automation to accelerate the speed for the incident prevention and resolution to take place.
4.Dynamic workflows with adaptive learning
Teams can adapt response with lessons learned from each incident, using postmortem analytics to understand what worked and what could be improved for the future. Adopting artificial intelligence (AI) and machine learning (ML) , deep learning (DL) technology should adopt for let enterprise to cope with DigitalOps revolution and challenges.
Feel free to contact E-SPIN for any DigitalOps project and operation requirements from technology provisioning, consultancy, integration, monitoring and security testing and continuous protection.
