Operations | Monitoring | ITSM | DevOps | Cloud

February 2024

Making incidents less painful with Kerim Satirli of HashiCorp & Lawrence Jones of incident.io

For a lot of teams, incident management can be a bit of a headache. It's stressful. It's not optimized. The whole process can feel like it's being held together with tape. Worst of all? Responders are the ones feeling the brunt of it. But in reality, your customers are, too. Think about it: But honestly, the situation doesn't even have to be so dire. Things can be, generally speaking, totally fine. But you recognize that there are some things that you can do to make incident response really shine at your organization.

The Debrief: How we built a "game changing" AI assistant feature

Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product. You'll hear him chat about.

The Debrief: Making incidents less painful with Kerim Satirli of HashiCorp & Lawrence Jones of incident.io

For a lot of teams, incident management can be a bit of a headache. It's stressful. It's not optimized. The whole process can feel like it's being held together with tape. Worst of all? Responders are the ones feeling the brunt of it. But in reality, your customers are, too. Think about it: But honestly, the situation doesn't even have to be so dire. Things can be, generally speaking, totally fine.

Are organizations finding value in the incident metrics they track?

See the full report—Incident metrics pulse: How organizations are measuring their incident management What metrics do you look at to measure how efficient your incident response is? This is a question we get asked all the time and one we empathize with deeply. While there are several well-established incident metrics that organizations commonly use, like MTTR and raw counts of incidents, a vast number of them are ineffective, or worse still entirely misleading.

Why design parters were critical during the Assistant project

In this clip of The Debrief, Charlie explains why design partners, and the feedback they gave, was so crucial to the product we ended up building. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI.

Why prompt engineering can be so frustrating

In this clip of The Debrief, Charlie explains why prompt engineering can be so challenging. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product.

What value you can expect to get from Assistant

In this clip of The Debrief, Charlie explains exactly what teams can look forward to getting from Assistant. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product.

How we aligned on what "good" looked like for Assistant

In this clip of The Debrief, Charlie explains how we determined what "good" would look like during the process of building out Assistant. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI.

The Debrief: How we built a "game changing" AI assistant feature

Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product.

The Debrief: Stale incident summaries? AI can fix that for you

Incident summaries are the source of truth for responders joining an incident at any point. But the reality is that with so many things happening at once—like needing to respond to the actual incident—updating these summaries can fall by the wayside. Enter, Suggested Summaries, one of our newest features powered by AI. In this episode, you'll hear from Milly, the project lead for Suggested Summaries, to get a peek behind the curtain of this game-changing feature.

How we built Suggested Summaries

In this clip of The Debrief, Milly walk through how the incident.io team actually built out our latest AI feature: Suggested Summaries Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

Why aren't incident responders updating summaries more frequently?

In this clip of The Debrief, Milly explains why incident responders don't update summaries as frequently as they should. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

Why is prompt engineering so hard?

In this clip of The Debrief, Milly explains the challenges of prompt engineering. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

What are Suggested Summaries?

In this clip of The Debrief, Milly explains what Suggested Summaries are and how they can be a huge benefit for teams. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

The benefits of using an incident management tool

In this clip of The Debrief, Jack dives into the several benefits of adopting and incident management tool to respond to data issues. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

The ease of using an incident management tool

In this clip of The Debrief, Jack talks about how easy it has been for him and his team to start using incident.io to management data incidents. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

The role of incident management for data teams

In this clip of The Debrief, Jack talks about why it just makes sense for data teams to adopt an incident management tool to manage data incidents. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

Best practices for creating a reliable on-call rotation

It's fair to say that effectively managing an on-call rota is crucial for ensuring the 'round-the-clock availability of your services. But it's more than that. Spending the time getting your rotas right also empowers and protects the folks who make it all possible: your team. Some best practices for doing this include using software to automate scheduling, setting up teams with clearly defined responsibilities, establishing escalation policies, and defining time limits for issue resolution.