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DevOps and chaos engineering   Chaos Engineering is like intentionally breaking things to make your systems stronger. The Core Idea: Instead of waiting for unexpected failures to happen in your live systems, you deliberately introduce controlled "chaos" (like simulating server crashes or network outages) to see how your systems react. Learning from Failure: By observing how your systems behave under stress, you can identify weaknesses, improve your response plans, and build more resilient infrastructure. Netflix's "Chaos Monkey": Netflix pioneered this with their "Chaos Monkey" tool, which randomly terminated instances in their production environment to force their engineers to build systems that could withstand such failures. Beyond Simple Failures: Chaos Engineering goes beyond simple server crashes. It involves complex scenarios, like network disruptions, data center outages, and even human intervention tests ("Game Days") to evalu...
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Developing a Strong Research Plan: A Comprehensive Guide A well-structured research plan is the foundation of any successful product. It ensures that you gather the right data from the right sources to inform your product decisions. Understanding the Research Landscape To create a comprehensive research plan, it's helpful to visualize it as a two-dimensional matrix. Let's break down the two axes: 1. Quantitative vs. Qualitative Research Quantitative Research: This involves collecting numerical data to analyze patterns and trends. Surveys and polls are common methods used to gather quantitative data. Opens in a new window www.atlassian.com bar graph or pie chart Qualitative Research: This involves collecting non-numerical data, such as opinions, feelings, and experiences. Interviews, focus groups, and user testing are common methods used to gather qualitative data. Opens in a new window blog.hubspot.com people in a focus group discussion 2. Internal vs. External Researc...
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