Remove blogs debunking-business-continuity-myths-part-2
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Debunking observability myths – Part 3: Why observability works in every environment, not just large-scale systems

IBM Big Data Hub

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Observability refers to the ability to gain insights into a system’s internal behaviour based on external outputs or signals.

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Debunking observability myths – Part 6: Observability is about one part of your stack

IBM Big Data Hub

By dispelling this myth, our goal is to illuminate observability’s essence as a comprehensive practice offering profound insights into the functionality and performance of entire systems. Why is this a myth? In modern software and system management, observability goes beyond focusing on just one part of the stack.

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Debunking observability myths – Part 2: Why observability is important for everyone, not just SREs

IBM Big Data Hub

In our first blog post in this series on debunking observability myths, we focused on the myth that “ You can skip monitoring and rely solely on logs.” Why is this a myth? Business stakeholders: Observability allows business stakeholders to monitor and analyze business metrics in real-time.

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Debunking observability myths – Part 4: Observability is always expensive

IBM Big Data Hub

Why is this a myth? It’s a myth that “observability is always expensive” because there are various cost-effective options available for implementing observability in modern systems. Observability tool vendors understand the importance of accommodating businesses with varying budgets.

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