In today's ever-changing digital landscape, IT operations face an unprecedented challenge: the sheer volume and complexity of application data. Traditional human analysis alone is insufficient to eradicate the challenges posed by the dynamic nature of cloud-native environments. To address these challenges, artificial intelligence (AI) promises to process vast amounts of data in real-time, providing insights that humans might inadvertently overlook.
With the Instana® automated incident remediation, you can bring application downtime to near zero through quick incident management and efficient issue resolution. Automating incident remediation frees up valuable DevOps, SRE and developer resources, allowing teams to:
Focus on strategic initiatives and innovation rather than firefighting
Meet service level objectives and agreements (SLO/SLA), and contractual stakeholder obligations to maintain a competitive edge in the market
Reduce mean time to repair (MTTR) with intelligent, automatic incident detection using SmartAlerts, and an extensive Action Catalog that provides insights, that your team can use to create an incident response plan with actions to streamline remediation
Real-time data ingestion gives Instana’s AI algorithms a complete endpoint view of traces, logs, metrics and topology to empower your incident response team with more accurate recommendations.
Proactively prepare for avoiding data breach and security incidents, by equipping your incident response teams with prescriptive recommendations.
Map affected systems, business processes, application and entities to better optimize remediation efforts toward problems rather than individual symptoms.
Pinpoint the faulty component and the conditions surrounding it, for faster incident response process and remediation of issues.
Condense complex incidents into easily digestible summaries, allowing IT teams to swiftly understand pressing issues.
Use the power of watsonx.ai™ to leverage trusted, accurate recommendations on how to best diagnose and remediate incidents.
Reduce mean time to repair by 70%.
Reduce the developer time spent troubleshooting by 90%.
Respond to incidents 75% faster.
