It’s no secret to anyone working in technology that IT’s operating world is becoming more demanding and complex. Digital transformation, hybrid working, exponentially increasing data volumes, greater security risks, and expanding global regulations are all driving up business demands and expectations for reliable and robust technology operations.
Data analytics has always been the foundation to drive actions for IT operations--supporting capacity planning, resource optimization, workload rebalancing, cost projections, and security predictions. But now, there are new demands on IT operations to deliver inclusive data intelligence for managers across IT and the business.
AIOps is fast changing from a technology that was viewed with skepticism to an industry-changing innovation responding to the challenges of managing multifaceted, hybrid IT environments. Recently, our partner Pinnacle Technology Partners (PTP) hosted a panel discussion entitled: “Improving IT Management & Automation with AIOps,” led by Gary Derheim, VP of Managed Services & Marketing at PTP who interviewed executives and technical experts from PTP and OpsRamp.
Hybrid IT is here to stay. As companies are moving to the cloud faster than ever, fueled by necessity during the pandemic, enterprise IT organizations must determine how to shift operations accordingly. Managing highly-distributed, multi-cloud IT environments is the new norm.
It made it into our IT Operations Glossary for 2021 blog last month but got rejected by Wikipedia. Gartner included it in its Top 10 Strategic Technology Trends for 2020 list and business process management software vendor Appian published a book about it. We’re talking about hyperautomation. Wikipedia’s reservations aside, hyperautomation is a technology trend that’s moving beyond the business process management (BPM) world and into IT operations.
IT operations departments in larger enterprises often use 10-15 monitoring tools across different teams to track the health and availability of their core business services. Rather than helping ITOps teams gain a comprehensive view of their infrastructure, an overload of monitoring tools tends to only compound organizational silos and limit insights for incident troubleshooting. Yes, there is too much of a good thing.
Leaders looking to measure the benefits of AIOps and build key performance indicators (KPIs) for both IT and business audiences should focus on key factors such as uptime, incident response, remediation time and predictive maintenance, so that potential outages affecting employees and customers can be prevented. Business KPIs connected to AIOps include employee productivity, customer satisfaction and web site metrics such as conversion rate or lead generation.
Don’t stop thinking about tomorrow: For enterprise IT leaders everywhere, it’s no longer enough to lead well today and have teeth in the business. You must now be prepared for all manner and scope of uncertainty and change, and according to Accenture, very few organizations are there yet. In a recent report, the consultancy reports that only 7% of organizations are “future-ready”.
With increasing complexity and workloads, the world of IT operations is constantly evolving to meet the needs of digital-first organizations. Automation, AI and DevOps are intersecting today like never before. A constant influx of new technologies means new terms. Here's our take on the meaning of leading words and phrases in the space right now.
