For Solo.io's Service Mesh Hub, how do we balance adding support for more service mesh implementations versus deepening integration with existing supported meshes?

Introduction

The trade-off we're examining for Solo.io's Service Mesh Hub is between expanding support for more service mesh implementations versus deepening integration with existing supported meshes. This scenario involves balancing product breadth against depth, a common challenge in enterprise software. I'll analyze this trade-off by considering market dynamics, technical implications, and strategic alignment.

Step 1

Clarifying Questions (3 minutes)

• Based on the competitive landscape, I'm thinking our market position might influence this decision. Could you share insights on our current market share and main competitors?

Why it matters: Helps determine if we need to focus on differentiation or market expansion Expected answer: Mid-tier market position with 2-3 strong competitors Impact on approach: Would lean towards deepening integration if we're not the market leader

• Considering our revenue model, I assume enterprise subscriptions are a key driver. How does our pricing structure relate to the number of supported meshes versus integration depth?

Why it matters: Aligns product strategy with revenue generation Expected answer: Tiered pricing based on features and support levels Impact on approach: Might favor expanding mesh support if it directly ties to higher-tier offerings

• Looking at user segments, I'm curious about the distribution of our customer base across different service mesh implementations. Can you provide a breakdown of our users by mesh type?

Why it matters: Ensures we're addressing the needs of our core user base Expected answer: Majority using 2-3 popular meshes, with a long tail of niche implementations Impact on approach: Could justify focusing on deepening integration with the most popular meshes

• From a technical perspective, I'm wondering about the complexity of adding new mesh support versus enhancing existing integrations. What's the typical engineering effort for each?

Why it matters: Helps assess the feasibility and resource requirements of each option Expected answer: Adding new mesh support is more time-consuming but follows a template; deepening integration requires more specialized work Impact on approach: Might favor deepening integration if it's significantly less resource-intensive

• Regarding our product roadmap, I'm curious about any upcoming features or partnerships that might influence this decision. Are there any strategic initiatives in the pipeline related to service mesh support?

Why it matters: Ensures alignment with broader company strategy Expected answer: Potential partnership with a major cloud provider or upcoming enterprise feature set Impact on approach: Could sway decision based on strategic alignment and potential market impact