Reduce Alert Noise

See all alerts in one place

The Splunk platform is data source agnostic and your ITOps teams can quickly onboard Splunk and third-party monitoring data into Splunk ITSI using thousands of data integrations and content packs available on Splunkbase. With Splunk ITSI, your teams can correlate and analyze telemetry data and alerts from monitoring, event, and incident management tools that are already in use today. You can enrich alerts with relevant context and and create custom alerts from any ingested data. This means you can see all your alerts in Splunk ITSI Event Analytics without having to jump between tools or replacing your existing investments.

Reduce alert noise with better alert hygiene

Teams can achieve better alert hygiene through more accurate alerting and anomaly detection. To reduce false positive alerts, adaptive thresholding in Splunk ITSI dynamically adjusts baselines based on historical data so that alerts are more accurate. With the assistance of machine learning, these adaptive thresholds can quickly and easily be created in just a few clicks, and to ensure they are as accurate as possible, outliers can be detected and excluded from the baseline. To proactively avoid false positives and unwanted alerts, teams can use Splunk ITSI custom threshold windows to adjust KPI and service severity levels when they anticipate something unusual happening like an increase in web traffic due to a summer sales event or calendar day events like Black Friday.

Reduce alert noise by grouping related alerts

Splunk ITSI can intelligently group alerts into episodes and prioritize them. This reduces the total number of alerts to actionable episodes and helps teams make sense of the incident. Leveraging both machine learning and rules/policy based correlation, Splunk ITSI can help reduce alert noise by more than 90%.

Even with the best alert hygiene alert storms can happen. Out of the box, the Splunk ITSI Content Pack for Monitoring and Alerting gives teams early warning that alert storms are coming, noting when alert volume is trending up compared to historical norms. In addition to giving teams time to proactively take action, clusters of related alerts can be detected, helping teams quickly isolate and triage the incident. Additionally, with the operations posture dashboard, teams can continue to improve by easily baselining key performance indicators, like alert noise reduction, MTTD and MTTR, out of the box.

Respond to incidents efficiently with directed troubleshooting

With alerts grouped and prioritized, your teams can see service impact and use Episode Review to find probable root cause on the event timeline. Links from the timeline that carry context into third-party monitoring tools and entity health help you zero in on root cause. Knowing how similar episodes were successfully resolved in the past means you don’t need to start from the beginning. Episode Review in Splunk ITSI lets you look for similar episodes, see what actions were taken to resolve the issue, read any notes on how the problem was resolved, and review any linked tickets for even more context about the episode. You can also automate actions like sending email notifications, running a script, or sending to Splunk SOAR. Finally, you can accelerate incident response through bi-directional ticketing and creating custom instructions and runbooks. Finally, with a single click, teams can also jump into Splunk Application Performance Monitoring or Splunk AppDynamics inside the context of the issue and take further action.