In today’s fast-paced tech world, IT decision-makers have their hands full managing increasingly complex infrastructures. This is where Artificial Intelligence for IT Operations, or AIOps, steps in, offering a game-changing approach to managing IT infrastructure. Let’s dive into how AIOps can help and how you can get started.
Complexity Is Driving AIOps Adoption
As IT environments get more complicated, the need for a solid, adaptable, and reliable infrastructure goes up. AIOps uses artificial intelligence and machine learning to automate management processes, making everything run smoother, more reliably, and at a lower cost. Forrester found that companies using AIOps cut downtime by 50% and reduced the meantime to repair by 40%.1 Gartner also notes that AIOps can slash IT operational costs by up to 30% by automating repetitive tasks and catching issues before they become big problems.2
The Full-stack Observability Imperative
To stay ahead of potential issues, you need a clear view of the entire tech stack. Full-stack observability (FSO) uses AI-driven insights to detect anomalies and predict problems before they occur. Modern AIOps platforms, such as those from Gigamon, ScienceLogic, HPE OpsRamp, and Cisco’s Splunk and AppDynamics, integrate the best tools to provide comprehensive visibility and actionable insights.
Preparing for AIOps Implementation
Starting with AIOps can seem daunting but taking it step by step helps. Begin with a thorough audit of your current setup to spot areas where AIOps can make an immediate difference. Then, test the waters with a pilot program on less critical operations to smooth out the process and get your team up to speed.
Collaboration is key. Make sure everyone—from IT to Security—is on board and that your AIOps solution can gather data from all sources to provide a full picture. Training and workflow tweaks are essential to keep disruptions to a minimum.
Additional Automation Technologies
Other technologies, such as intent-based networking (IBN), Infrastructure as Code (IaC), and process automation are also transforming IT management. IBN allows networks to self-adjust to meet defined goals, IaC lets you manage infrastructure with code, and process automation partners with AIOps to handle routine tasks and complex issues like anomaly detection.
These tools create a dynamic, responsive, and scalable environment, which is crucial for supporting digital transformation efforts.
AIOps Capabilities Wish List
When shopping for AIOps solutions, look for these critical capabilities:
- Predictive Analytics: Analyze vast amounts of data to foresee problems before they affect users.
- Real-time Monitoring and Intelligent Alerting: Keep an eye on systems continuously, correlate events, and prioritize alerts.
- Automated Root Cause Analysis: Quickly find the root cause of issues, saving precious troubleshooting time.
- Adaptive Learning: Continuously learn and adapt to changing patterns, improving issue detection accuracy.
AIOps is a game-changer for IT infrastructure management, offering significant benefits in terms of operational efficiency, cost savings, and reliability. By taking a phased approach to implementation and leveraging additional automation technologies, IT leaders can ensure a smooth transition and get the most out of AIOps.
Ready to unlock the future of AIOps? Discover how Connection’s modern infrastructure and AI solutions and services, including Helix Center for Applied AI and Robotics, can revolutionize your infrastructure.