# incident management Incident management is a systematic process for detecting, coordinating, mitigating, and resolving disruptions to restore service. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Cisco and Axis Communications: Greater visibility, scalability, and incident management DevFeed: [Cisco and Axis Communications: Greater visibility, scalability, and incident management]() Original publisher: [Read original article]() Author: Jonathan Cohn Published: 2026-09-09T15:00:31Z Content type: news Language: en Sources: [Cisco Blogs]() Topics: [incident management](), [dashboards](), [interoperability](), [Security](), [Scalability](), [Cloud]() Tags: [boot](), [cisco-networking](), [cloud](), [encryption](), [incident-management](), [integration](), [interoperability](), [networking](), [security]() ### AI overview Cisco and Axis Communications are integrating Axis devices with Cisco Cloud Control through the Meraki dashboard. The integration gives IT and physical security teams centralized visibility into device health, firmware, patches, and connectivity while supporting secure, privacy-focused management across connected locations. ### Source excerpt Cisco and Axis Communications now allow managing Axis devices directly via the Meraki dashboard. This integration unifies IT and physical security, providing centralized visibility and simplified operations on a single, scalable platform. ## Try Azure SRE Agent with no always-on charges DevFeed: [Try Azure SRE Agent with no always-on charges]() Original publisher: [Read original article]() Author: Nir Mashkowski Published: 2026-08-25T15:00:00Z Content type: release Language: en Sources: [Developer Blogs]() Topics: [Azure](), [site-reliability-engineering](), [telemetry](), [incident management](), [Cloud]() Tags: [announcement](), [azure](), [cloud](), [incident-management](), [microsoft](), [microsoft-for-developers](), [sre](), [telemetry]() ### AI overview Microsoft announces a 30-day trial for Azure SRE Agent with no charges for setup time or keeping agents ready. The announcement also covers general availability of VNet integration and public preview of Live Reports. Active Azure Agent Unit charges apply when agents perform work. ### Source excerpt We are happy to announce a 30-day trial experience for Azure SRE Agent. New customers can create and configure the SRE Agent at their own pace, with no charges for setup time or keeping agents ready. During the trial, you can connect your agents to telemetry, source code, incident management platforms, and other operational tools, [...] The post Try Azure SRE Agent with no always-on charges appeared first on Microsoft for Developers. ## Port's Integration Catalog: 200+ Tools for Your Context Lake DevFeed: [Port's Integration Catalog: 200+ Tools for Your Context Lake]() Original publisher: [Read original article]() Author: Alina Barenboim Published: 2026-08-10T16:27:08Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [CI/CD](), [Kubernetes](), [GitHub](), [Provisioning](), [incident management](), [Application Performance Management (APM)](), [Security](), [Code review](), [Deployment](), [DevOps](), [GitHub Actions](), [GitLab]() Tags: [apm](), [ci-cd](), [deployment](), [devops](), [git](), [github](), [github-actions](), [gitlab](), [incident-management](), [jenkins](), [kubernetes](), [review](), [security](), [vulnerabilities]() ### AI overview Port's Integration Catalog describes more than 200 integrations that unify engineering-tool data in a queryable Context Lake. It covers Git, Kubernetes, CI/CD, incident management, APM, security scanning, service mesh, policy violations, deployments, build results, and code activity, with support for custom integrations through Ocean, connectors, APIs, events, and MCPs. ### Source excerpt Explore Port's 200+ integrations across CI/CD, Kubernetes, incident management, security, and more, all feeding one Context Lake. ## Managing standards in a developer portal - a how-to guide DevFeed: [Managing standards in a developer portal - a how-to guide]() Original publisher: [Read original article]() Author: Jenny Salem Published: 2026-07-30T10:23:42Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Automation](), [site-reliability-engineering](), [incident management](), [Microservice](), [API]() Tags: [automation](), [developer](), [developer-portal](), [engineering](), [guide](), [how-to](), [incident-management](), [production](), [software](), [sre](), [standards](), [technical]() ### AI overview This how-to guide explains how internal developer portals can manage production-readiness standards. It describes reliability criteria, definition-of-done checklists, standards compliance across deployment stages, and the use of automation and self-service to balance engineering checks with development speed. ### Source excerpt Production readiness varies across engineering teams, but generally, it's a process defining reliability criteria for software in production. ## Fact-checking PagerDuty's Opsgenie alternatives comparison table DevFeed: [Fact-checking PagerDuty's Opsgenie alternatives comparison table]() Original publisher: [Read original article]() Author: Tom Wentworth Published: 2026-07-28T14:21:14Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [incident](), [incident management](), [Incident response](), [Slack](), [Artificial Intelligence](), [dashboards](), [Microsoft Teams](), [API](), [Terraform](), [issue tracker]() Tags: [ai](), [api](), [article](), [comparison](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [microsoft-teams](), [outage](), [post-mortem](), [slack](), [slack-incident](), [terraform]() ### AI overview The article fact-checks PagerDuty's comparison table for Opsgenie alternatives, arguing that its description of incident.io is inaccurate. It presents incident.io as an end-to-end AI incident management platform with on-call scheduling, alert routing, incident response, dashboards, mobile access, status pages, investigation, post-mortems, insights, workflow automation, API access, and Terraform support. ### Source excerpt PagerDuty published a new comparison table about incident.io. Once again, it describes a product we don't recognize. So once again, we're correcting the record, row by row, with receipts. ## How internal developer portals improve incident management DevFeed: [How internal developer portals improve incident management]() Original publisher: [Read original article]() Author: Sooraj Shah Published: 2026-07-22T11:46:50Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [incident management](), [Platform Engineering](), [sdlc](), [Monitoring]() Tags: [developer](), [developer-portal](), [incident-management](), [metrics](), [monitoring](), [on-call](), [platform-engineering](), [real-time](), [sdlc]() ### AI overview This article explains how internal developer portals can strengthen incident management by bringing service ownership, dependencies, monitoring information, infrastructure health metrics, and operational actions into one place. It emphasizes better context, autonomy, and efficiency for on-call engineers, including self-service playbooks for incident remediation. ### Source excerpt Boost your incident management program: Upgrade from tools to a developer portal for better context, autonomy, and effectiveness. ## Doing the right thing when things go wrong DevFeed: [Doing the right thing when things go wrong]() Original publisher: [Read original article]() Author: Mark Gorman Published: 2026-07-14T13:41:39Z Content type: article Language: en Sources: [The Intercom Blog]() Topics: [incident](), [incident management](), [SRE](), [Slack]() Tags: [engineering](), [incident](), [incident-management](), [metrics](), [safety](), [slack](), [sre](), [support](), [work]() ### AI overview Fin's incident-response process focuses on quickly detecting customer-impacting disruptions, bringing the right people together, reducing impact, communicating clearly, and learning from what happened. The article emphasizes that incident management is a shared discipline supported by tools such as Slack channels, status pages, runbooks, and SRE tooling. ### Source excerpt When customers rely on you, minutes matter in an incident. Here's the process Fin's engineers follow to detect, mitigate, and learn from every one. ## Building a Centralized Alerting Framework for Data Quality Monitoring and Incident Management DevFeed: [Building a Centralized Alerting Framework for Data Quality Monitoring and Incident Management]() Original publisher: [Read original article]() Author: Manav Mehta Published: 2026-06-18T07:11:45Z Content type: article Language: en Sources: [Helpshift]() Topics: [Data Quality](), [incident management](), [Monitoring](), [DataOps]() Tags: [data-engineering](), [data-quality](), [email](), [incident-management](), [monitoring](), [notifications](), [observability](), [pipelines](), [slack](), [snowflake]() ### AI overview This article describes the design of a centralized alerting and incident management framework for data quality and pipeline monitoring. The framework uses Snowflake's native Alerting capabilities with Email, Slack, and Splunk On-Call integrations to detect issues, notify the appropriate engineers, escalate critical incidents, and provide actionable context. ### Source excerpt Before We Knew Better As our data platform grew, so did the number of pipelines, scheduled tasks, and data quality checks running every day. While Snowflake provided a reliable platform for storing and processing data, operational monitoring was fragmented across multiple systems. Data quality failures were often discovered only after downstream reports showed inconsistencies. Pipeline issues sometimes required engineers to manually inspect logs, query tables, and trace execution paths before identifying the root cause. The challenge wasn't detecting failures -- we already had mechanisms to identify them. The real challenge was ensuring the right people were notified quickly, with enough context to take action. Questions during on-call incidents were often similar: Did the pipeline fail or was data simply delayed? Which validation check triggered the alert? Who should respond to the issue? How can we ensure critical failures don't get missed overnight? As the number of pipelines increased, manually monitoring these failures became increasingly difficult. We needed a centralized alerting framework. What We Actually Needed Our goal wasn't simply to send more notifications. We wanted a system that could: Detect data quality issues automatically Notify engineers through channels they already use Escalate critical incidents to on-call responders Provide actionable context instead of generic failure messages Scale across multiple pipelines and monitoring use cases Most importantly, we wanted to keep the solution as close to the data platform as possible. Since our monitoring logic already lived in Snowflake, it made sense for the alerting framework to live there as well. The Architecture We Chose To address these challenges, we designed a centralized notification and incident management framework using Snowflake's native Alerting capabilities, combined with Email, Slack, and Splunk On-Call integrations. Rather than introducing another monitoring platform, we chose to build ## Behind the Flame: Pierson Mayhew DevFeed: [Behind the Flame: Pierson Mayhew]() Original publisher: [Read original article]() Author: Megan Batterbury Published: 2026-06-04T14:00:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [Artificial Intelligence](), [SRE](), [Slack]() Tags: [ai](), [emea](), [enterprise](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [slack](), [slack-incident](), [sre]() ### AI overview This profile introduces Pierson Mayhew, an Enterprise and Strategic Account Executive at incident.io. He describes enterprise sales, collaboration across the company, developing the go-to-market strategy in EMEA, and his excitement about AI SRE and its potential impact on incident management. ### Source excerpt Meet Pierson Mayhew, Enterprise/Strategic Account Executive here at incident.io. 🔥 ## Behind the Flame: Maggie Baxter DevFeed: [Behind the Flame: Maggie Baxter]() Original publisher: [Read original article]() Author: Megan Batterbury Published: 2026-05-21T14:00:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [incident]() Tags: [2026](), [company](), [customers](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [partner](), [post-mortem](), [slack-incident](), [tech]() ### AI overview Maggie Baxter, a Solutions Engineer at incident.io, describes her work helping technology companies evaluate and implement the company's incident management platform. She discusses relationship-building with prospects and customers, collaboration across the organization, the company-wide offsite, and incident.io's culture of care and personalized customer engagement. ### Source excerpt Meet Maggie Baxter, Solutions Engineer here at incident.io. 🔥 ## Behind the Flame: Joe Hart DevFeed: [Behind the Flame: Joe Hart]() Original publisher: [Read original article]() Author: Megan Batterbury Published: 2026-04-23T10:00:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident](), [incident management](), [dashboards](), [Code](), [Slack]() Tags: [code](), [code-testing](), [collaboration](), [developer](), [engineering](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [integrations](), [outage](), [post-mortem](), [slack](), [slack-incident](), [testing](), [tools](), [work](), [writing-code]() ### AI overview This profile introduces Joe Hart, a Product Engineer on incident.io's Response team. It describes his work on status pages, the incident management lifecycle, integrations, dashboards, customer issues, coding, testing, and collaboration across engineering teams. ### Source excerpt Meet Joe Hart, Product Engineer here at incident.io. 🔥 ## How to migrate your paging tool without breaking your team DevFeed: [How to migrate your paging tool without breaking your team]() Original publisher: [Read original article]() Author: Eryn Carman Published: 2026-03-20T14:32:18Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [migration](), [incident management](), [incident](), [Slack](), [systems]() Tags: [engineering](), [how-to](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [migration](), [outage](), [post-mortem](), [scope](), [slack-incident](), [systems](), [tools](), [workflow]() ### AI overview This article presents a framework for migrating an engineering team's on-call and paging system without disrupting critical incident response. It argues that migration should be used to improve the broader incident-management workflow, including triage, communication, coordination, status updates, and postmortems, rather than simply replacing one paging tool with another. ### Source excerpt Migrating your paging tool is disruptive no matter what. The teams that come out ahead are the ones who use that disruption deliberately. Strategic CSM Eryn Carman shares the four-step framework she's used to help engineering teams migrate and improve their on-call programs. ## How Catalog changes the game for long-term maintenance DevFeed: [How Catalog changes the game for long-term maintenance]() Original publisher: [Read original article]() Author: Chris Evans Published: 2026-03-18T11:33:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident](), [incident management](), [Automation](), [configuration](), [Routing (disambiguation)]() Tags: [automation](), [configuration](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [routing](), [slack-incident](), [workflows]() ### AI overview The article explains how incident.io Catalog centralizes organizational ownership data so incident workflows can reference it dynamically. This replaces duplicated hardcoded rules for alert routing and follow-up exports, reducing maintenance effort and the risk of missed updates as teams and services change. ### Source excerpt Model your organization once, and let every workflow reference it dynamically. See how Catalog replaces hardcoded incident logic with scalable, low-maintenance automation. ## Everything you need to know about ITIL 5, AI and incident management DevFeed: [Everything you need to know about ITIL 5, AI and incident management]() Original publisher: [Read original article]() Author: Chris Evans Published: 2026-02-01T17:09:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [ai-governance](), [incident management](), [incident](), [AI Agent](), [Frameworks](), [audit trail](), [Automation]() Tags: [ai](), [ai-agent](), [audit-trail](), [automation](), [compliance](), [framework](), [governance](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [operational](), [outage](), [post-mortem](), [regulatory](), [slack-incident]() ### AI overview This article explains how ITIL 5 updates incident management guidance for organizations using AI. It focuses on a new AI Governance extension module covering responsible adoption, risk management, transparency, accountability, and regulatory compliance, including governance questions around AI-suggested remediation, generated incident summaries, automated actions, and audit trails. ### Source excerpt We break down ITIL 5's governance framework and what it means for teams using AI in incident response. For incident management, it addresses questions like: Who's accountable when an AI-suggested remediation backfires? How do you audit AI-generated updates? ## Recapping SEV0 San Francisco 2025 DevFeed: [Recapping SEV0 San Francisco 2025]() Original publisher: [Read original article]() Author: Kate Bernacchi-Sass Published: 2025-09-30T13:36:32Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [Incident response](), [incident management](), [Artificial Intelligence](), [Automation](), [site-reliability-engineering]() Tags: [agents](), [ai](), [ai-agents](), [automation](), [engineering](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [slack-incident](), [sre]() ### AI overview The article recaps SEV0 San Francisco 2025 and examines how AI could reshape incident response. It describes incident.io's focus on combining AI agents with incident management, including AI SRE, an always-on assistant intended to triage issues, identify root causes, generate fixes, reduce downtime, and limit alert fatigue. The article emphasizes that AI should work within an end-to-end platform supporting communication, coordination, response, and continuous improvement. ### Source excerpt SEV0 has always been about shining a light on the biggest challenges (and opportunities) in incident response. ## We built an MCP server so Claude can access your incidents DevFeed: [We built an MCP server so Claude can access your incidents]() Original publisher: [Read original article]() Author: Tom Wentworth Published: 2025-08-04T14:14:54Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [Model Context Protocol](), [MCP Server](), [incident management](), [Claude](), [API](), [Open Source]() Tags: [api](), [claude](), [golang](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [mcp](), [mcp-server](), [outage](), [post-mortem](), [slack-incident]() ### AI overview incident.io built an MCP server that connects Claude and other MCP-compatible AI assistants to incident.io, allowing users to retrieve, create, manage, search, and analyze incidents through natural-language conversations. The article explains its Golang bridge architecture, which maps tools to incident.io API endpoints and formats returned data for Claude. It also notes that the legacy server was open source and MIT licensed, while an official hosted MCP server is now available. ### Source excerpt We built an open-source MCP server that lets Claude directly access and manage your incident.io incidents through natural conversation. Instead of switching between tools when things break, you can now ask Claude to create incidents, update statuses, and pull context, all while staying in your existing workflow. ## Why I decided to join incident.io and my impressions so far DevFeed: [Why I decided to join incident.io and my impressions so far]() Original publisher: [Read original article]() Author: James Jarvis Published: 2025-07-31T13:17:35Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [Artificial Intelligence](), [incident management](), [site-reliability-engineering](), [Prompt Engineering]() Tags: [ai](), [artificial-intelligence](), [generative-ai](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [latency](), [outage](), [post-mortem](), [prompt-engineering](), [slack-incident](), [sre]() ### AI overview A personal account of joining incident.io's AI team and evaluating the experience after just over two months. It explains the appeal of working on generative AI, the expected increase in software output and incidents, and the need for more productive incident management. The article also highlights the team's engineering culture, opportunities to share knowledge, rapid customer feedback, and work on an AI SRE. ### Source excerpt Hear from James - one of our recent joiners in the AI team - why did they choose incident.io, and what do they think of us now they are here? ## Incident.io introduces Investigations, an AI SRE system DevFeed: [Incident.io introduces Investigations, an AI SRE system]() Original publisher: [Read original article]() Author: Stephen Whitworth Published: 2025-07-02T12:30:00Z Content type: release Language: en Sources: [The incident.io Blog]() Topics: [SRE](), [incident](), [incident management](), [Artificial Intelligence]() Tags: [ai](), [ai-agents](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [slack-incident](), [sre]() ### AI overview Incident.io introduces Investigations, an AI SRE system intended to investigate alerts, identify root causes, connect telemetry and code changes, and help engineers resolve incidents. ### Source excerpt Today, we're introducing AI SRE, your always-on teammate that spots issues, surfaces root causes, and takes action to help you resolve incidents faster. ## Why we vibe coded a marketing campaign for Anthropic DevFeed: [Why we vibe coded a marketing campaign for Anthropic]() Original publisher: [Read original article]() Author: Tom Wentworth Published: 2025-05-28T16:40:24Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [anthropic](), [incident](), [Claude Code](), [Claude](), [incident management](), [Artificial Intelligence]() Tags: [ai](), [ai-tools](), [analysis](), [anthropic](), [apis](), [building](), [claude](), [claude-code](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [marketing](), [outage](), [post-mortem](), [root-cause-analysis](), [slack-incident]() ### AI overview The article describes a dedicated marketing campaign for Anthropic, including a custom high-score game called PagerTron built with Claude Code. It presents AI tools as enabling marketers to focus more on creative customer engagement while also discussing incident response capabilities and agentic root cause analysis. ### Source excerpt We created a dedicated page for Anthropic to showcase our incident management platform, complete with a custom game called PagerTron, which we built using Claude Code. This project showcases how AI tools like Claude are revolutionizing marketing by enabling teams to focus on creative ways to reach potential customers. ## Comparing the incident.io vs PagerDuty comparison pages DevFeed: [Comparing the incident.io vs PagerDuty comparison pages]() Original publisher: [Read original article]() Author: Tom Wentworth Published: 2025-05-09T18:11:11Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [Incident response](), [Search engine optimization (SEO)](), [Software as a service]() Tags: [b2b](), [comparison](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [on-call](), [outage](), [post-mortem](), [saas](), [seo](), [slack-incident](), [workflows]() ### AI overview This article examines incident.io and PagerDuty comparison pages, arguing that their differences reflect distinct origins and philosophies in incident management. It discusses the role of competitor comparison pages in SEO and challenges PagerDuty's characterization of incident.io as mainly an on-call tool with a Slack integration. The article presents incident.io as an end-to-end incident management platform built around centralized incident response and workflows. ### Source excerpt We examine both companies' comparison pages and find some significant discrepancies between PagerDuty's claims and reality. Learn how our different origins shape our approaches to incident management. ## The EU AI Act and what it means for managing incidents DevFeed: [The EU AI Act and what it means for managing incidents]() Original publisher: [Read original article]() Author: Chris Evans Published: 2025-05-02T10:53:02Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [Artificial Intelligence](), [incident management](), [Incident response]() Tags: [ai](), [article](), [compliance](), [eu](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [slack-incident]() ### AI overview This article explains how the EU AI Act affects incident management, focusing on Article 73 requirements for providers of high-risk AI systems. It emphasizes reporting serious incidents or malfunctions within 72 hours and maintaining structured processes for capturing incident details, timelines, impacts, notifications, and long-term context. ### Source excerpt The EU AI Act introduces new incident reporting rules for high-risk AI systems. This post breaks down what Article 73 actually mandates, why it's not as scary as it sounds, and how good incident management makes compliance a breeze. ## Pager fatigue: Making the invisible work visible DevFeed: [Pager fatigue: Making the invisible work visible]() Original publisher: [Read original article]() Author: Matilda Hultgren Published: 2025-04-25T14:03:53Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [incident](), [incident management](), [dashboards](), [Software]() Tags: [coding](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [on-call](), [outage](), [post-mortem](), [slack-incident]() ### AI overview The article explains how incident.io makes on-call pager fatigue visible through a Fatigue Score and a daily Morning Report. It describes how the approach draws on fatigue-management practices from healthcare, emergency services, aviation, nuclear power, and oil and gas, with the goal of protecting responders and reducing errors. ### Source excerpt We developed The Fatigue Score to make sure our On-call responders' efforts are visible. Here's how we did it, and how you can too. ## Why you should join incident.io: behind the curtain DevFeed: [Why you should join incident.io: behind the curtain]() Original publisher: [Read original article]() Author: Lisa Karlin Curtis Published: 2025-04-16T10:10:00Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [incident](), [incident management](), [Slack]() Tags: [developers](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [opinion](), [outage](), [post-mortem](), [product](), [slack](), [slack-incident]() ### AI overview An employee explains why people might join incident.io after its $62 million Series B, focusing on the importance of its incident management and paging product, the high stakes of serving customers during serious failures, building for developers, customer collaboration, and a strong product culture. The article also acknowledges reasons the company may not suit everyone. ### Source excerpt Cutting through the hype and dollar signs, why should you actually join incident.io? And also, why might this not work for you ## incident.io raises $62M to build AI agents that resolve incidents with you DevFeed: [incident.io raises $62M to build AI agents that resolve incidents with you]() Original publisher: [Read original article]() Author: Stephen Whitworth Published: 2025-04-10T13:00:00Z Content type: news Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [Artificial Intelligence](), [incident](), [Slack](), [Netflix](), [OpenAI]() Tags: [ai](), [ai-agents](), [engineering](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [netflix](), [openai](), [outage](), [post-mortem](), [series-b](), [site-reliability](), [slack](), [slack-incident]() ### AI overview incident.io announces $62 million in Series B funding, bringing total funding above $96 million, to advance AI-powered incident management. The company describes its software reliability platform, Slack-based user experience, customer growth, weekly product updates, and migration from legacy paging tools. ### Source excerpt Today, we've raised $62M in Series B funding with over $96M in total to pioneer a new era of AI-powered incident management. [Next page]()