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Company focus

Grafana
Product Improvement Hard Member-only

How might Grafana enhance its data source integration capabilities to support a wider range of time series databases?

Prepared by NextSprints

15 mins
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Product Strategy Technical Analysis User Experience Design DevOps IT Operations Data Analytics Observability Data Visualization Integration Strategy Open Source Time Series Databases
Product Management Improvement Question: Enhancing Grafana's data source integration for time series databases

Introduction

Enhancing Grafana's data source integration capabilities to support a wider range of time series databases is a critical challenge that could significantly expand the product's utility and market reach. This improvement aligns with Grafana's core value proposition of providing unified observability across diverse data sources. I'll approach this problem by first clarifying our objectives, then analyzing user segments and pain points, before proposing and evaluating potential solutions.

Step 1

Clarifying Questions (5 mins)

  • Looking at Grafana's position in the observability market, I'm thinking about the strategic importance of expanding data source integrations. Could you share more about how this initiative aligns with Grafana's broader product strategy and market positioning?

Why it matters: Determines if we're focusing on breadth vs. depth of integrations Expected answer: Aiming to be the universal dashboard for all time series data Impact on approach: Would prioritize ease of integration and flexibility over deep, specialized features

  • Considering the technical complexity of time series databases, I'm curious about the current integration process. Could you describe the typical workflow for adding a new data source integration to Grafana, including any challenges developers face?

Why it matters: Identifies potential bottlenecks in the current integration process Expected answer: Complex process requiring deep knowledge of both Grafana and the target database Impact on approach: Would focus on simplifying and standardizing the integration process

  • Given the diverse landscape of time series databases, I'm wondering about user preferences and usage patterns. Can you share any data on which types of databases our users are most frequently requesting integrations for, and how this has changed over time?

Why it matters: Helps prioritize which database types to focus on first Expected answer: Growing demand for cloud-native and specialized IoT databases Impact on approach: Would tailor solution to address the most requested database types first

  • Thinking about Grafana's open-source nature, I'm considering the role of the community in expanding integrations. How active is the community in contributing new data source plugins, and what barriers do they face?

Why it matters: Determines if we should focus on empowering the community or internal development Expected answer: Active community, but struggling with documentation and testing resources Impact on approach: Would prioritize improving developer tools and documentation

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Updated Jan 22, 2025