In this blog, we will walk through the scenario of sending or E-bonding ServiceNow incidents to 5 destinations simultaneously, using Robotic Data Automation and AIOps Studio. E-bonding refers to a scenario where data is delivered (one-way) or synchronized (two-way) between two or different systems, which are typically under different administrative boundaries. E-Bonding term originally appeared in Service Provider and Telco space (see: ATT E-Bonding).

I don’t know about you, but April traveled at the speed of light. A blink and it happened. Our teams have been working at the same speed throughout one of our favorite months of the year. With an incredible amount of updates, we’ve made our product even more transparent and easier to use. It’s not just our world-class documentation that enables you, it’s also the in-product visualizations and enablement that help guide you without you even realizing it.

Gartner’s latest “Quick Answer” report discusses how clinical communication and collaboration (CC&C) systems can enhance pandemic-related provider and patient engagement. Modern healthcare delivery organizations (HDO) invest in CC&C solutions to simplify communication among care teams consisting of physicians, nurses and critical support personnel. The OnPage team is pleased to be recognized as a vendor in Gartner’s latest CC&C publication.

Coined by Gartner in 2016, the term ‘AIOps’ refers to the combining of big data AI and machine learning to automate and improve IT operations processes. Back then, this very broad definition led to some confusion, with different IT vendors characterizing AIOps differently, depending on what they were actually offering.

Cutting-edge messaging systems simplify communication and collaboration for organizations with complex communication needs. These systems are equipped with secure mobile messaging and a full suite of automation capabilities that can route notifications and voice calls across on-call teams. These platforms simplify on-call management through digital on-call schedules and escalation policies.

Kubernetes enables teams to deploy and manage their own services, but this can lead to gaps in visibility as different teams create systems with varying configurations and resources. Without an established method for provisioning infrastructure, keeping track of these services becomes more challenging. Implementing infrastructure as code solves this problem by optimizing the process for provisioning and updating production-ready resources.

Implementing any IT project requires time, planning, and effort and AIOps probably requires even more planning and stakeholder involvement, because of the breadth of coverage and potential to bring profits to multiple IT domains/functions (ex: ITOps/ITSM/NOCOps). Customers have high expectations from AIOps, but, even after taking such major projects, most AIOps vendors are only able to support a few core AIOps use cases, which severely limits the utility and potential of AIOps.