As a part of the Service Assortment bulletins at Crew ’26 Anaheim, we’re excited to introduce new AIOps integrations with Lansweeper, Coralogix, and Honeycomb.
IT Operations groups already depend on best-of-breed instruments for asset discovery, log analytics, and distributed tracing — however that intelligence typically stays siloed from the workflows the place choices truly get made. With new integrations for Lansweeper, Coralogix, and Honeycomb, groups can carry specialised telemetry and asset context instantly into Jira Service Administration, whereas the Atlassian platform connects this knowledge to the Teamwork Graph and makes it accessible to Rovo brokers through Atlassian’s distant MCP server.
The end result? Sooner detection, extra assured prognosis, and fewer swivel-chair work — powered by automation that IT Ops groups can belief and clarify.
Learn on to learn the way every partnership helps carry this imaginative and prescient to life!
Lansweeper: Correct cyber asset intelligence for safer adjustments and quicker triage
Lansweeper makes a speciality of deep, steady discovery of {hardware}, software program, and dependencies throughout on‑premises and cloud environments. Mixed with Jira Service Administration, that knowledge turns into the spine of a dwelling configuration and repair graph that responders, website reliability engineers, and alter managers can depend on.
Within the first section of our collaboration, Atlassian’s Rovo Ops agent connects to Lansweeper to carry wealthy asset context instantly into Jira Service Administration through MCP:
- Trusted asset context surfaced in incidents and adjustments
When an alert is created or a change is proposed, the agent can question Lansweeper for impacted units, put in software program, community topology, lifecycle and guarantee particulars, and identified vulnerabilities. That info is surfaced proper contained in the Jira Service Administration incident, so responders don’t have to swivel between instruments. - Change threat evaluation and approval suggestions
For change requests, the agent makes use of Lansweeper asset intelligence to evaluate which belongings and providers are impacted, how important they’re, and what associated alerts, incidents, or issues exist. It then generates an approval advice (approve, conditionally approve, or decline) together with rationale and auto‑populates the chance part within the change file. - Correlation between asset adjustments and anomalies
When asset change occasions are detected—resembling configuration drifts or surprising software program adjustments—the agent correlates them with previous adjustments and incidents, utilizing Lansweeper’s context to suggest whether or not to watch, create an issue, elevate an incident, or dismiss noise. - Zero‑belief entry decisioning and operational threat automation
Asset particulars resembling criticality, publicity, and dependencies are utilized in workflows like break‑glass entry approvals and operational threat mitigation, guaranteeing choices are each quick and auditable.
By combining Lansweeper’s cyber asset intelligence with Atlassian Belongings and the broader Teamwork Graph, Jira Service Administration permits groups to maneuver past a static configuration database towards a real context graph—one that may energy ruled, AI‑pushed choices throughout your operations workflows.
Coralogix: Full-stack observability for organizational intelligence
Coralogix delivers full-stack observability, logs, metrics, traces, and safety occasions, with AI and elevated value effectivity – all with out sacrificing visibility. Our joint integration is concentrated on placing that full group intelligence instantly into Jira Service Administration incidents and submit‑incident workflows.
In section one, the Rovo Ops agent connects to Coralogix to help a number of core use circumstances:
- Contextual incident correlations and enrichments throughout all telemetry and safety occasions
Throughout an incident, the agent queries Coralogix for logs, metrics, traces, safety occasions, and anomalies inside the related time window. Parsed logs—together with structured fields—are displayed in a panel alongside the incident, preserving a clear audit path. - AI‑pushed root trigger evaluation and proposals (obtainable in Beta)
The agent invokes Coralogix’s streaming analytics to correlate patterns throughout error logs, metrics, traces, safety occasions, and system adjustments. It then returns a hypothesized root trigger and prompt remediation steps proper contained in the Jira Service Administration situation. - Automated, audit‑prepared submit‑incident opinions
After decision, the combination pulls a consolidated log timeline, related safety occasions, and incident particulars into Confluence to generate a submit‑incident evaluate that’s each operationally helpful and compliance‑pleasant.
Collectively, Coralogix and Jira Service Administration give IT operations groups full-stack observability, quicker investigations, and out‑of‑the‑field help for alert and incident administration use circumstances. By unifying observability throughout all occasion varieties with AI agent investigations and remediation work in a single workspace, groups can transfer from detection to submit‑incident evaluate with far much less friction.
Honeycomb: Excessive‑cardinality debugging for complicated, microservices‑heavy methods
Honeycomb is the futureproofed observability platform that allows engineering groups to search out and clear up issues they couldn’t earlier than. It unifies telemetry, returns quick queries, integrates with AI brokers, and divulges points others miss in your ever-evolving tech stack.
Along with Jira Service Administration, Honeycomb’s knowledge and evaluation turn into a part of the incident workflow itself, making it simpler for website reliability engineers and growth groups to diagnose “unknown‑unknowns” with out leaving their major incident hub.
The preliminary section of our Honeycomb partnership focuses on bringing key debugging capabilities into Jira Service Administration through the Rovo Ops agent:
- Contextual enrichment with traces, occasions, and anomalies
When an incident is opened, the agent can question Honeycomb through the Honeycomb MCP Server for related excessive‑cardinality occasions, traces, and BubbleUp anomalies inside the incident window. These outcomes seem instantly on the incident, permitting responders to quickly take a look at new hypotheses. - AI‑assisted root trigger and remediation recommendations (obtainable in Beta)
By combining Honeycomb telemetry with previous incident patterns, the agent can suggest possible root causes and subsequent remediation steps, even for intricate microservices interactions which are arduous to identify through conventional software efficiency monitoring. - Automated submit‑incident opinions with SLO affect
After decision, the combination can pull Honeycomb hint timelines, then mix them with Jira Service Administration metadata to auto‑generate submit‑incident reviews in Confluence.
By pairing Honeycomb’s excessive‑cardinality, OpenTelemetry-native observability with Jira Service Administration’s AI-native incident and alter workflows, groups can shortly zero in on the foundation reason behind complicated microservices points with out leaving their major hub. The result’s decrease imply time to decision and smoother collaboration between operations and growth, all with out disrupting present practices.
Able to speed up your incident workflows?
Increasing on our present AIOps companion ecosystem with New Relic and Dynatrace, these new integrations ship asset, log, and hint intelligence instantly into Jira Service Administration so you may catch points sooner, diagnose extra precisely, and shut incidents quicker. To get a sneak peek into the brand new integrations in addition to keep up-to-date on future integrations, join the Early Access Program. Additionally, try our web site to be taught extra about how Atlassian helps IT Ops groups resolve incidents quicker. We’re excited to see how these integrations may also help you modernize IT operations on your group!