There are great expectations on AIOps (Artificial Intelligence for IT Operations) platforms nowadays. Because AIOPs answers the need to manage increasingly heterogeneous and complex environments, such as on-premise, containerized, hybrid and multi-cloud infrastructures on which applications and services depend.
The use of artificial intelligence has the goal of simplifying the collection of data in real-time and across the board. It offers a single view of the functioning of Operations, and transforms different functions - such as service management and remediation - into automatic ones.
This is why one of the areas of greatest development of AIOps concerns monitoring and performance management. Being able to count on the massive analysis of machine learning, in fact, allows companies to extract information, to correlate it and to respond promptly to a problem even before it arises, thanks to the predictive analytics typical of automatic learning systems. AIOps monitoring tools are increasing on the market, but to understand the benefits it is advisable to rely on a partner to accompany the company in making informed choices.
AIOps for monitoring: the role of the system integrator
System integrators who have gained in-depth skills related to monitoring models can better direct organizations towards the solution that suits their real needs. AIOps, for example, is recommended above all for those companies that have cloud-native applications. With those, a monitoring oriented to Operation Analytics and based on Autonomous Cloud Management is relevant, as well as profitable.
In this sense, the collaboration with the system integrator cannot be limited to software selection. Instead, it but must include support and advice in the decision, a targeted assessment that verifies any migration or evolution plans, process analysis and so on. The usefulness of AIOps for IT Operations, basically, must be verified by proceeding step by step, perhaps by starting to test it in the development phase and then continuing with actual production. In fact, some of the advantages that AIOps brings in monitoring activities can be identified from an accurate assessment.
Cost saving and proptness in solving problems
The first advantage of performance monitoring using AIOps tools lies in cost saving. The shortening of the root cause analysis times, by a more extensive and faster detection capacity, allows you to direct the IT staff in the right direction, avoiding frantic investigations in search of the causes that generate a malfunction or deterioration in performance.
The complexity of the environments and the interdependence of applications, infrastructure and networks make it difficult not to solve a problem, but to quickly remedy it. On the other, this is something AIOps manages to do sometimes even in advance of the showing of the anomaly. The impact that this fact assumes for example for customer satisfaction is crucial.
The degree of satisfaction often depends on the user experience of sites and apps, and so is the brand reputation. Even temporary inability to access an application or the slowdown in loading a web page can generate frustration and even abandonment of the customer.
How AIOps brings performance and business together
Given the above, AIOps represents a resource able to ensure Operations are more connected to business objectives. Basically, application performance and economic results do not follow on parallel paths but converge in terms of monitoring, reporting and service standards achieved.
The result is an improvement in the company's revenue with guaranteed uptime levels of 99% that can be provided for in the stipulation of the SLA (Service Level Agreement). Moving from a reactive to a proactive dimension favored by AIOps, ultimately, drastically cuts down on prolonged inefficiencies and avoids the customers themselves reporting them, with consequent damage to the brand image.
To this, we should add that today modern monitoring tools in SaaS (Software as a Service) require a pretty limited commitment on the part of IT personnel. It means there is no objection to adopting AIOps where a company intends to use a single evolved platform for monitoring.