
Blameless announces the integration of Opsgenie, Atlassian’s alerting solution for incident responders.
Integrating with Opsgenie allows Blameless users to quickly and intelligently assemble the right team members at the outset of an incident by accessing data from Opsgenie’s service catalog.
Blameless users can select and notify responders based on both specific service ownership and team responsibility on-call.
Making the integration between Opsgenie and Blameless both service-aware and team-aware helps users adapt to situations where the scope of responsibilities per team is unclear or changes. It also allows users to more quickly identify the origin of a potential incident by assembling based on the service affected. This has the benefit of bringing engineers with service-specific expertise directly to the incident rather than relying on first determining which broader team owns that part of the infrastructure.
Opsgenie is connected to Blameless via the service catalog and alerting functions, both of which are embedded within the Blameless Slackbot interface. Blameless users responding to or managing an incident, can escalate to any teams defined in Opsgenie. Users can do this directly by team name if known or by selecting the related services and, next the teams responsible for that service. When a service is selected via the bot command via Slack, those team members are automatically notified. Like every other action taken within Blameless, the service catalog and alerting data generated throughout the lifecycle of an incident is automatically captured and stored on the Blameless Incident Timeline.
Benefits:
- Simplicity and speed. Users of both Opsgenie and Blameless now quickly and intuitively assemble the right, relevant people, which is a critical first step during an incident. With this powerful integration, Blameless has made it simple to identify appropriate service owners as well as follow the defined escalation protocol. Blameless can also display the actual user name of each responder notified per the escalation policy to help with team member identification and downstream reporting.
- Alert Automation. When using Blameless via Slack or Microsoft Teams, Opsgenie alerts are automated when the incident channel is created, and the pre-selection of relevant services takes place. Alerts can also be manually triggered using commands from the Blameless chatbot for those who prefer to trigger alerts from within Slack or Teams.
- Track Every Event for Learning. All triggered alerts can now be tracked as an event in the Blameless Incident Timeline, with the name of the user who started the alert, the name and link to the service, and the team which has been notified. This is ultimately included in the retrospective report and also downstream analytics, so users know exactly what happened and when.
"Our customers and the market have been asking for this level of integration with Opsgenie, which is a popular and growing solution for responders...This depth of integration makes it much easier for teams to codify their incident playbook and streamline the entire end-to-end workflow,” said Jim Gochee, CEO of Blameless. “Blameless integrations are a key engineering tenet for our product,”
The Latest
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...
IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...
Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...
Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...
For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...
PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...
The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...
Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...