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If you’re attending the Gartner IT Operations Strategies & Solutions Summit 2017 this week, you shouldn’t miss what the IBM Performance Management and Operations Management team will be sharing.
Our team’s portfolio covers the monitoring and management of customer solutions both from a DevOps perspective as well as for centralized IT operations management teams. We can show you why companies must have agility in the early development phases, add structure as complexity and scale increases, and finally, drive efficiency into DevOps and operations processes. If you follow these steeps, your business can deliver new applications faster, quickly restore service following an outage and even reduce operational costs.
Come to the IOSS Summit exhibit hall, where IBM will demonstrate how you can achieve the following:
We’ve seen that the majority of software issues that arise are due to changes made in the environment or the code. By providing availability monitoring that is integrated into the DevOps toolchain, organizations can become more agile.
A key DevOps best practice: create monitoring early in the application development cycle and use the same monitoring through the toolchain into production. This way, you can allow teams to support constant updates, but you’ll know changes are not impacting what your customers are experiencing. Monitoring in a DevOps environment can be integrated into an overall hybrid cloud operations solution.
As applications and services scale up or become more complex, DevOps teams and the IT operations team can introduce more structure, without losing agility. They can do this by quickly identifying service-impacting incidents and restoring service fast. You can get structured by systematically correlating, notifying and resolving service-impacting incidents.
If you automate notifications through integrated notification service, you can ensure the right people are notified in their preferred alerting mechanism, based on scheduling. Notifications and resolutions can be provided in the context of an incident. More structure helps you resolve issues faster and helps minimize incidents that might impact your customers.
As companies grow, their focus often shifts to maximizing efficiency and delivering exemplary service. Out-of-the-box analytics and machine learning can help make businesses more efficient.
You can harness streaming analytics to proactively avoid outages. We have seen that companies can reduce top-priority incidents—the issues that impact service—by 85 percent in the first few months. Analytics help our clients achieve results like these by identifying actionable anomalies and insights without manual configuration to avoid issues that impact service and help identify their root cause. You can achieve greater efficiency by capturing the triage of anomalies in runbooks for team members.
Proactive analytics will allow your team to analyze, review and take immediate action. Event analytics drives operational effectiveness and efficiency for traditional IT operations teams, who traditionally respond to issues reactively. Event grouping reduces actionable events by grouping issues that always occur together. This reduces noise and provides better context for faster issue resolution. Additionally, seasonality analytics improve efficiency by identifying and resolving recurring problems.
I hope you’ll join us in the Gartner IOSS exhibit hall this week. Find us in Booth 200. We’ll show you how IBM Hybrid IT Service Management solutions can help you become more agile, structured and efficient.
For more on what’s in store at Gartner IOSS 2017, read this blog post.