
Kim Harrison
Kim is a writer and editor. She’s pretty excited about the technology that LaunchDarkly is building and sharing that story with the community. Before LaunchDarkly, Kim did marketing for other SaaS companies, like Intuit and Pentaho. She earned her BA in sociology from UC Berkeley.
Stories by Kim Harrison
Introducing Our New Podcast, Unintended Consequences
Like everyone else over the course of this past year, we have missed connecting with others within the DevOps community. We miss serendipity and the cumulative conversations we could have when we saw each other in new contexts. So we started this series to create a space where we can continue to have those discussions.

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Debug a Kubernetes Cluster in Prod with the Conduit Service Mesh

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How a Culture of Failure Can Make Your Dev Team Stronger

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I Don't Always Test My Code, But When I Do It's in Production

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A Key to Success: Failure with Chaos Engineering

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Chaos Engineering at Datadog

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API Change Management via Feature Flags

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How Failure Can Improve Your Team and Product

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How Betway Tests in Production - Hypothesis-Driven Development and More

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How We Beta Test at LaunchDarkly

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Deployments at Scale: Using Kubernetes and LaunchDarkly to run the IBM Cloud Container Service

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To Be Continuous: Another Look at Product Management

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The Penny Glitch That Cost Big

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The Time Our Provider Screwed Us

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Two Tales

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The Billion Versions of Facebook You've Never Seen

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To Be Continuous: Marketing an Open Source Project

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To Be Continuous: Product Management with Adam Gross

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To Be Continuous: Resolving Accidental Complexity with Dark

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Launched: Personal Access Tokens

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Removing Risk from Product Launches: A webinar with LaunchDarkly, CircleCI, and GoPro

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Software Engineering Daily: Feature Flags With Edith Harbaugh

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When a Necessary Evil becomes Indispensable: Testing in Production at Handshake

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Relying on End Users to Test Incremental Changes

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Mise en œuvre du feature flagging: comment et pourquoi nous devons planifier des tests en production

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Testing in Production without Compromising Availability

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Transitioning Production Tests into a Synthetic Monitoring Solution

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Testing Microservices: A Sane Approach Pre-Production & In Production

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The Only Constant in Modern Infrastructure, is Change

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Turn Big Failures into Little Failures, and Learn from the Future with Observability

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Talking Nerdy With "Technically Speaking"

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Performing Automated Canary Analysis Across a Diverse Set of Cloud Platforms with Kayenta and Spinnaker

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Visibility and Monitoring for Machine Learning Models

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Trajectory After Liftoff

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Test in Production: A Panel Discussion on Debugging Kubernetes in Production

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The Benefits of Using “Monitoring Gateways" Architecture for Large-Scale IT Environments

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