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Incident Playbook: How to Plan for and Respond to Outages

Scott Klein

There's nothing like a major web outage to remind us how much our applications rely on other web services and technologies to function. In late October of last year, a Distributed Denial of Service (DDoS) attack on Dyn, one of the largest Domain Name Service (DNS) providers on the internet, disrupted service for consumer and business applications across the web. This attack shed light on the delicate interdependent nature of the web as productivity and uptime across the world was effected, even for organizations that didn't directly use Dyn as a DNS provider.

For an IT team, it can be a rude awakening when one major service provider's downtime triggers outages of technologies across the web, eventually hitting their application in its destructive path. As we saw with this attack, the disruption of one service can have a domino effect on many others. From an outsiders' perspective, it can make the internet seem like a wobbly house of cards. While you and your IT team might not see it that way, consider how an outage of this magnitude is perceived by your business colleagues and customers.

To alleviate these concerns, it's worth developing an incident response plan so that when another outage inevitably occurs, you are able to show confidence and transparency while managing the incident. Incident response plans can be developed in three steps to ensure you and your team are prepared to not only respond to an incident, but also maintain clear communications with stakeholders to quell panic.

1. Identify and quantify incidents

There doesn't have to be a major DDoS attack for a response plan to come in handy (think bugs in production, broken builds, login issues, etc.). Your team needs to be able to quickly identify and quantify the incident in order to appropriately respond.

If your team can answer these questions to define what constitutes an incident, they will be better equipped to respond:

■ How many customers are impacted?

■ How long does the incident need to last?

■ How degraded is the service and how do you determine severity level?

2. Create an incident communication plan

A well-built incident response plan is largely about effective communication, from who should be included in remediation conversations, to what is communicated to end users.

Consider the following when creating an incident response plan:

■ Identify the incident commander. This person is already at work or on call and available to provide direction during an incident.

■ Establish internal channels for alerting and communicating with teams reacting to the incident. We recommend creating a "war room," or dedicated chat room, to use for the duration of the incident and cut out unnecessary noise.

■ Know how you will communicate with end users. Whichever solution you use, be sure it's reliable and available when you need it. This usually means something that isn't hosted outside your core tech stack, because you don't want your communication forum having downtime when you need it most.

■ Build templates and preset language for common incidents. The last thing you need to worry about during an incident is how to phrase an alert during an already high-tension situation. While every incident is unique, most of them we find fall into a few broad categories: total outage, regional outage, delayed response times, to name a few. By deciding on some stock language for these templates and saving it ahead of time, you'll have more time to dedicate to the incident when it actually happens. This also accelerates the time from detection to communication.
Plan to send periodic updates during the incident to keep the team and stakeholders informed.

3. Communicate with transparency

During an incident, streamlined, transparent communications can free up your team to focus on fixing the problem while ensuring customers have the most up-to-date, accurate information. Even if your outage is the result of a third-party service provider, it's your responsibility to make sure your customers have the right information. While you don't want to play a blame game during an incident, there's nothing wrong with letting your users know that you're waiting on a fix from another provider. This helps your users understand that there isn't a lot you can do.

If the service provider having the outage is communicating with users somewhere, it's smart to direct your users there. During the Dyn outage, we saw a lot of Dyn's customers direct their users to Dyn's service page. This helped clear up the confusion around the interdependencies of these structures and helped users get the right information in the quickest possible way.

Postmortem and evolve

The lifecycle of an incident doesn't end when your application is up and running again, and neither should the actions that your team takes. Include these steps into your response plan to ensure you're covering all of your bases - both now and in the future.

■ After the dust has settled, draft an incident postmortem to explain what happened and what precautions are being implemented to prevent a repeat incident. It's always good to write a postmortem, especially for major outages. This is your opportunity to tell your customers what went wrong and what you're doing to avoid the incident in the future. A good postmortem includes an apology for any inconvenience your service outage may have caused and acceptance of responsibility. Finger pointing (even if it genuinely was another party at fault) is never a good look. Finish off your postmortem by explaining your remediation plan.

■ Conduct a post-incident review with your team to evaluate the processes and strategy enacted during the incident and how those can be improved to better handle future incidents.

There's no telling when the next incident will occur, what the scale will be or what systems will be affected, but if your team is prepared with a incident response plan, they can act swiftly to respond to the issue without the frenzy and panic that typically ensues. And when the next major domino drops and the rest of the world is furiously clicking "reload" and overloading customer service lines, your customers and stakeholders will receive clear, transparent communications the entire time.

Scott Klein is StatusPage Product Manager at Atlassian.

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Incident Playbook: How to Plan for and Respond to Outages

Scott Klein

There's nothing like a major web outage to remind us how much our applications rely on other web services and technologies to function. In late October of last year, a Distributed Denial of Service (DDoS) attack on Dyn, one of the largest Domain Name Service (DNS) providers on the internet, disrupted service for consumer and business applications across the web. This attack shed light on the delicate interdependent nature of the web as productivity and uptime across the world was effected, even for organizations that didn't directly use Dyn as a DNS provider.

For an IT team, it can be a rude awakening when one major service provider's downtime triggers outages of technologies across the web, eventually hitting their application in its destructive path. As we saw with this attack, the disruption of one service can have a domino effect on many others. From an outsiders' perspective, it can make the internet seem like a wobbly house of cards. While you and your IT team might not see it that way, consider how an outage of this magnitude is perceived by your business colleagues and customers.

To alleviate these concerns, it's worth developing an incident response plan so that when another outage inevitably occurs, you are able to show confidence and transparency while managing the incident. Incident response plans can be developed in three steps to ensure you and your team are prepared to not only respond to an incident, but also maintain clear communications with stakeholders to quell panic.

1. Identify and quantify incidents

There doesn't have to be a major DDoS attack for a response plan to come in handy (think bugs in production, broken builds, login issues, etc.). Your team needs to be able to quickly identify and quantify the incident in order to appropriately respond.

If your team can answer these questions to define what constitutes an incident, they will be better equipped to respond:

■ How many customers are impacted?

■ How long does the incident need to last?

■ How degraded is the service and how do you determine severity level?

2. Create an incident communication plan

A well-built incident response plan is largely about effective communication, from who should be included in remediation conversations, to what is communicated to end users.

Consider the following when creating an incident response plan:

■ Identify the incident commander. This person is already at work or on call and available to provide direction during an incident.

■ Establish internal channels for alerting and communicating with teams reacting to the incident. We recommend creating a "war room," or dedicated chat room, to use for the duration of the incident and cut out unnecessary noise.

■ Know how you will communicate with end users. Whichever solution you use, be sure it's reliable and available when you need it. This usually means something that isn't hosted outside your core tech stack, because you don't want your communication forum having downtime when you need it most.

■ Build templates and preset language for common incidents. The last thing you need to worry about during an incident is how to phrase an alert during an already high-tension situation. While every incident is unique, most of them we find fall into a few broad categories: total outage, regional outage, delayed response times, to name a few. By deciding on some stock language for these templates and saving it ahead of time, you'll have more time to dedicate to the incident when it actually happens. This also accelerates the time from detection to communication.
Plan to send periodic updates during the incident to keep the team and stakeholders informed.

3. Communicate with transparency

During an incident, streamlined, transparent communications can free up your team to focus on fixing the problem while ensuring customers have the most up-to-date, accurate information. Even if your outage is the result of a third-party service provider, it's your responsibility to make sure your customers have the right information. While you don't want to play a blame game during an incident, there's nothing wrong with letting your users know that you're waiting on a fix from another provider. This helps your users understand that there isn't a lot you can do.

If the service provider having the outage is communicating with users somewhere, it's smart to direct your users there. During the Dyn outage, we saw a lot of Dyn's customers direct their users to Dyn's service page. This helped clear up the confusion around the interdependencies of these structures and helped users get the right information in the quickest possible way.

Postmortem and evolve

The lifecycle of an incident doesn't end when your application is up and running again, and neither should the actions that your team takes. Include these steps into your response plan to ensure you're covering all of your bases - both now and in the future.

■ After the dust has settled, draft an incident postmortem to explain what happened and what precautions are being implemented to prevent a repeat incident. It's always good to write a postmortem, especially for major outages. This is your opportunity to tell your customers what went wrong and what you're doing to avoid the incident in the future. A good postmortem includes an apology for any inconvenience your service outage may have caused and acceptance of responsibility. Finger pointing (even if it genuinely was another party at fault) is never a good look. Finish off your postmortem by explaining your remediation plan.

■ Conduct a post-incident review with your team to evaluate the processes and strategy enacted during the incident and how those can be improved to better handle future incidents.

There's no telling when the next incident will occur, what the scale will be or what systems will be affected, but if your team is prepared with a incident response plan, they can act swiftly to respond to the issue without the frenzy and panic that typically ensues. And when the next major domino drops and the rest of the world is furiously clicking "reload" and overloading customer service lines, your customers and stakeholders will receive clear, transparent communications the entire time.

Scott Klein is StatusPage Product Manager at Atlassian.

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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