With exponential growth in their digital landscape's size, scale, and complexity enterprises are bound to face mounting challenges in their IT infrastructure
management. As the applications grow in number and complexity and their usage surges, IT operations are constantly under pressure. The infrastructure must consistently deliver better performance, ensure continuous availability of critical applications, and eliminate costly errors.

The Solution – AIOps

Applying AI at the heart of IT operations can simplify complex tech ecosystems in a new dimension. The practice known as AIOps involves strategically integrating AI
capabilities like natural language processing, machine learning, generative AI, etc., into IT operations workflows. This allows intelligent automation while enabling
organizations to embrace proactive IT infrastructure management. AIOps tools handle incidents, remedies, and resource management autonomously.

The key benefits of adopting AIOps

Optimized infrastructure performance through better observability

While the cloud started as an Studies show that nearly 72% of companies often overspend than their estimated cloud budgets for a year. Most enterprise cloud transformation projects evolve into dense and maze-like cloud environments. Here, public, private, and hybrid cloud models abound, and interconnected workflows and interdependencies mushroom. Due to such complexities, IT operations teams struggle to gain oversight and secure control over incidents and events.

AIOps brings seamless visibility into such infrastructure landscapes. Its tools offer deep and granular insights into every facet of the environment and application to all relevant stakeholders. This allows IT teams to narrow down the root causes of incidents, respond faster or proactively to concerns, and rectify them before they escalate or cause damage.

Cost optimization

Undertaking a cloud transformation exercise has long-term cost consequences. Complex environments come with management challenges. In such environments, it’s common for enterprises to struggle with data governance and management, and managing infrastructure usage by cloud apps. As that happens, cloud costs could quite quickly spiral out of control. Studies show that nearly 32% of cloud spending is wasted by enterprises, primarily due to over-allocating resources to applications without due consideration for actual workloads.
With AIOps, it becomes easier for organizations to optimize their cloud spending. Resource allocation for applications can be planned and executed in a more nuanced and optimized manner. Over time, this can even happen autonomously based on AI options that rely on clear insights. AIOps applies the required intelligence to understand the exact needs of every application about computing power, storage, containers, and other supporting assets. It then uses the knowledge to ensure continuous (and appropriate) provisioning of cloud resources at the right time for the right purpose to the right application or feature. This prevents overconsumption of cloud resources and hence optimizes costs significantly.

Lower manual intervention

Complex application landscapes often require the intervention of a large IT workforce to streamline and manage the operational landscape that supports their business-
critical applications. With AIOps, this can be avoided. Fewer IT team members can leverage a range of AI tools to understand and automate IT infrastructure operations effortlessly. From proactive incident management to automated resource provisioning, and security compliance checks, a range of activities can be intelligently automated for reater impact, even with fewer resources.

Reduce downtime and better customer experience

Downtime can push away loyal customers and competitors can quickly take advantage of the situation to
gain a foothold.
AIOps can save the day by providing predictive insights to DevSecOps and SRE operations teams about potential failures. This is thanks to continuous intelligent
monitoring of the application ecosystem. Timely detection helps teams to address and mitigate incidents before critical damage and hence downtime can be minimized or even eliminated.

Mitigate vulnerabilities

AIOps tools offer clear insights into vulnerabilities that pop up in the IT infrastructure, be it at the network level, application level, or the integration level between data and applications. With these robust insights, IT teams can prioritize the most important vulnerabilities and resolve them faster. They can leverage threat and remedial
intelligence, also supplied by AIOps tools, while doing so. AIOps tools also provide root cause analysis intelligence. IT teams can solve problems faster and ensure that similar incidents are prevented in the future with applied learning.

What lies ahead for AIOps?

IT complexity will only increase as enterprises embrace more digital innovation. AIOps will steadily become a critical enabler of modern digital experiences. The applications are limitless, from helping eCommerce companies track website and application performance and downtime to monitoring transactional systems to prevent fraud in financial enterprises.
However, taking the AIOps journey requires a strategic approach for enterprises. Several considerations must be factored in, including identifying relevant use cases,
determining the right tools, preparing and integrating data streams into AIOps tools, and much more. Mistakes can disrupt the entire application ecosystem and create more problems than AIOps intended to solve. Hence enterprises need a knowledgeable technology partner like Parkar to help craft the most effective AIOps journey for themselves. Get in touch with us to know more.

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