Engineering Director @pagerduty. Technology nerd. Podcast nerd. Non-fiction book nerd. Blogger. Husband. Father.

Toronto, Ontario
Joined June 2015
My article on prioritization, work streams and unplanned work made the front page of hackernews! 🎉 Super happy people are engaging and interested in this important topic.
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✨ We recently launched 3️⃣ new updates to the PagerDuty scheduling experience, including: consolidated schedule view, dynamic schedule creation and flexible editing! Get the full details in this blog ➡️ bit.ly/47AebTx
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Comfortable ideas can at best make you average. Uncomfortable ideas can take you beyond the average, but you have to really want it. In reality, most people don’t really want it, even if they keep saying they do.
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PagerDuty earned the FedRAMPⓇ In Process designation, advancing towards approval for use in government agencies. This achievement underlines PagerDuty’s commitment to top-tier security and reliability for the Operations Cloud. bit.ly/44Pt42y
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Aaand the replay is up! Great convo with Ben, @leeorengel and @EveraldoAguia10 on applying #GenerativeAI to something useful, constraining outputs (but not too much), thinking about data recency and how a lot more is going to happen with #LLMs youtu.be/2mEVY6rmX3M
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Enrich your incident data and resolve incidents faster with Custom Fields, generally available now for customers on Business and Digital Operations plans. ✨ Explore these top 5️⃣ use cases for using Custom Fields to get started ➡️ bit.ly/3NdAZPB
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Super excited to share these new capabilities my teams have been building for our customers!
We're thrilled to introduce our first three generative AI-supported capabilities across the Operations Cloud: ✨ Generative AI Status Updates ✨ Generative AI Incident Postmortems ✨ Generative AI Process Automation Learn more in @seanscott_tx's blog ➡️ bit.ly/3qnbCTJ
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1/Thrilled to announce: 3 new Generative AI courses! * Building Systems with the ChatGPT API, with OpenAI’s @isafulf * LangChain for LLM Application Development, with LangChain’s @hwchase17 * How Diffusion Models Work, by @realSharonZhou Check them out: deeplearning.ai/short-course…
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The development of a copilot for knowledge work fascinates me. Building tools that integrate with existing workflows is a necessary step forward. What's certain—the future of personal productivity looks bright.
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One way to force yourself to think is to write. Good writing requires good thinking. Forcing yourself to make your thinking visible gives poor thinking nowhere to hide. You can’t take a few minutes here and there, get the gist of the problem, and expect to have clear writing.
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The Feynman Technique is the best way to learn anything. It is a style of learning that unleashes your potential and forces you to develop a deep understanding. Learn the simple four-step method here: ow.ly/UM1850N12yi
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Say goodbye to multiple internal communciations channels with Status Update Notification Templates, now generally available. Read more in our recent blog pagerduty.com/blog/status-up…
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This is a major release and a real game-changer for our customers. A huge effort across the incident response and platform groups. Super proud of all the hard work from my teams to help get this shipped!
Still struggling with toil in your #IncidentResponse process? PagerDuty Incident Workflows are generally available and #automate manual steps of incident response so your teams can focus on innovation. Read more in our new blog! bit.ly/3EQKu2T
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Still struggling with toil in your #IncidentResponse process? PagerDuty Incident Workflows are generally available and #automate manual steps of incident response so your teams can focus on innovation. Read more in our new blog! bit.ly/3EQKu2T
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His technique unique. His imaginations apparently limitless. Jeff I will miss you along with your millions of fans. Jeff Beck Rest in Peace. instagram.com/p/CnSqk8rDxZR/…
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We waste years by not wanting to waste hours. — Amos Tversky This in my opinion is the most important quote that PMs at all levels should internalize.
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A new @awscloud whitepaper has dropped and it is incredible. Don't let the boring title ("AWS Fault Isolation Boundaries") fool you; it painstakingly describes *how AWS degrades* and how to architect for that scenario. docs.aws.amazon.com/whitepap…
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a thing to keep in mind about your company's legacy code is that it's the reason you have that job in the first place
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