As part of our ongoing collaboration with Atlassian to make Splunk Infrastructure Monitoring the best monitoring and observability platform for Atlassian users, we are pleased to announce today that we are bringing another integration to market, this time with Jira Software. Building on our existing Opsgenie integration that routes notifications to the appropriate team and provides deep insights into what caused the problem and how to immediately resolve it, our new Jira integration immediately triggers a Jira issue once an alert condition is met, to quickly and efficiently start the resolution process.
Splunk Infrastructure Monitoring alerts are the fastest and most accurate alerts in the industry. With our real-time streaming architecture and SignalFlow analytics, we provide DevOps teams with the fastest mean time to detect (MTTD). But this is just the start of the alert-to-resolution workflow. Developers still need to troubleshoot and resolve the incident quickly, and are under constant pressure to reduce mean time to clue (MTTC) and mean time to resolution (MTTR). Capturing anomalous events in Jira provides developers the right information in the right system for them to track diagnosis and resolution through the release cycle. With more than 65,000 customers worldwide, Jira is the industry’s leading project and issue tracking platform, and automating the issue creation and assignment process takes all of the upfront latency out of the workflow while also ensuring the accurate and detailed capture of events.
The Splunk Infrastructure Monitoring Jira integration supports both Jira Software Cloud and self-managed versions of Jira Software (Server and Data Center). Once the integration has been set up, Splunk Infrastructure Monitoring automatically notifies Jira to create and assign a new issue when an alert is triggered, serving up the relevant information to the right developer without any delays. As part of the issue creation process, we include detailed context of the event that contains the alert severity, rule, and metrics that met the alert condition as well as relevant links to views in Splunk Infrastructure Monitoring, the organization’s runbook, and any tips. Key highlights of the integration include:
With this integration, we eliminate the risk of a human operator missing the alert (especially if it is broadcast to a noisy channel) and bypass the slow and error-prone process of having an operator interpret the alert and manually log into Jira, create an issue, and find the right developer to assign it to. It also reduces the need for developers to log into Splunk Infrastructure Monitoring or perform any data collection of their own. During customer- or revenue-impacting incidents, time is critical, and this integration helps streamline the alert-to-resolution workflow, improving collaboration, increasing developer productivity, and reducing overall time-to-resolution.
When Atlassian reimagined Jira last year to make it more user friendly and powerful, co-Founder and co-CEO Scott Farquhar highlighted the need to support modern software development teams building software in the cloud. In his blog, he pointed to dozens of new integrations that automatically sync with the redesigned Jira issue so that all team members can effectively collaborate without having to update Jira manually. We share this vision and are happy to bring a best-of-breed alert-to-issue integration with Atlassian to our mutual customers.
Setting up the integration between Splunk Infrastructure Monitoring and Jira can be done in three simple steps:
Now, when the application latency is anomalous an issue will automatically be created in Jira with the specific application metric for the specific instance of the application at the specific time of the anomaly. (For more on how Splunk Infrastructure Monitoring alerts work, read this blog post. For tips on creating alerts, download our Alerts Best Practices Guide.)
Armed with that context, developers can look deeper into the application metrics and transaction traces to rapidly isolate the root cause.
Note: In order to set up the integration, you must be an administrator in Splunk Infrastructure Monitoring and have the appropriate level of permission in Jira to browse projects, create issues, and add comments. Refer to our documentation for additional details.
Splunk Infrastructure Monitoring is currently available in the Atlassian marketplace with our existing OpsGenie integration.
If you’re not already using Splunk Infrastructure Monitoring, get started with a free trial.
Splunk Infrastructure Monitoring is the only real-time monitoring and observability platform for cloud infrastructure and microservices. The platform collects metrics and traces across every component in your cloud environment, replacing traditional point tools with a single integrated solution that works across the stack. Splunk Infrastructure Monitoring is built on a massively scalable streaming architecture that applies advanced predictive analytics for real-time problem detection. With its NoSample™ distributed tracing capabilities, Splunk Infrastructure Monitoring reliably monitors all transactions across microservices, accurately identifying all anomalies. And through data-science-powered directed troubleshooting Splunk Infrastructure Monitoring guides the operator to find the root cause of issues in seconds.
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Thanks!
Jeff Lo
The Splunk platform removes the barriers between data and action, empowering observability, IT and security teams to ensure their organizations are secure, resilient and innovative.
Founded in 2003, Splunk is a global company — with over 7,500 employees, Splunkers have received over 1,020 patents to date and availability in 21 regions around the world — and offers an open, extensible data platform that supports shared data across any environment so that all teams in an organization can get end-to-end visibility, with context, for every interaction and business process. Build a strong data foundation with Splunk.