AIOps - Artificial Intelligence in IT Operations - Part 2
AI Ops Strategies
Don’t wait. Become familiar with AI and ML vocabulary and capabilities today, even if an AIOps project isn’t imminent. Priorities and capabilities change, so you may need it sooner than you expect.
Choose initial test cases wisely. Transformation initiatives benefit from starting small, capturing knowledge and iterating from there. Take the same approach to incorporating AIOps for success.
Develop and demonstrate your proficiency. Demystify AIOps for your colleagues and leadership by demonstrating simple techniques.
Experiment freely. Although AIOps platforms are often products of substantial cost and complexity, a great deal of open-source and low-cost ML software is available to enable you to evaluate AIOps
Standardize where possible, modernize where practical. Prepare your infrastructure to support an eventual AIOps implementation by adopting a consistent automation architecture
AI Ops Tools
Many companies have developed tools for implementing AI Ops over the last 5+ years since this concept has started picking. Here are the top 8:
BigPanda is a classic example of collecting data from many disparate services to feed its ML algorithms with data for correlation and problem identification. BigPanda captures and combines alerts with change and topology data from all your tools, then uses ML to spot problems and patterns that identify the root cause of performance issues or outages in real-time.
Moogsoft’s AIOps platform is another classic domain agnostic AIOps tool, providing noise reduction and causality analytics of the systems under observation. Service specific features are the workflow engine to provide an easy solution for creating custom logic to handle events, and the Situation Room which optimized communication and collaboration around a specific issue.
The Now Platform of ServiceNow includes all necessary components to deliver a full-fledged AIOps experience based on data collected from external data sources. AIOps with ServiceNow is fully integrated with all other services and departments supported by ServiceNow. Given that tight integration to other parts of the platform, operational intelligence and AIOps becomes part of the company’s basic habits.