Today’s digital businesses depend on the performance and availability of critical business applications and the infrastructure on which they run.
Watch: Where is your organization in AIOps adoption?
According to a McKinsey study, CIOs cited the need to react more quickly as the top reason for making changes to their organizations.¹
A lack of visibility across hybrid and multicloud environments, rising costs, inefficient resourcing decisions and lack of centralized control has slowed the ability to digitally transform their business. The use of technologies such as virtual machines, container-based microservices and shared multi-tenant infrastructure can accelerate application development, but introduces operational complexity.
Modern applications are often separated by multiple layers of abstraction, making it difficult to understand which underlying physical server, storage and networking resources are supporting which applications. Traditional methods of forecasting resource requirements based on “set it and forget it” estimates can lead to overallocation of resources, or worse yet, starve applications during usage spikes. Even with an additional resource margin, performance isn’t assured due to the unpredictable nature of modern application demands.
Resource optimization that requires an operator to manually update the production environment will fall short in dynamic demand situations. To stay relevant, modern organizations are turning to a new, AIOps-driven approach that improves speed, utilization and service delivery.
- Faster decision-making: Full-stack, enterprise observability
- Smarter resource allocation: Dynamic resource management and cost optimization
- Predictive AIOps: Autonomous problem determination, remediation and avoidance
Keep reading to learn how IBM AIOps solutions can enhance and simplify your IT operations. You can also talk to an IBM expert anytime.