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Blameless Integrates Opsgenie

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,”

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Blameless Integrates Opsgenie

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,”

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77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

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Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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