Streamvisor 1.1 – Secure Apache Pulsar UI for Enterprise

Hacker News

I'm excited to share the latest from the Streamvisor team – version 1.1 is now live! In this release, we've updated our Apache Pulsar Management UI based on user feedback and interviews, with a focus on addressing the needs of larger organizations. Key Features: RBAC (Role-Based Access Control): Efficiently manage your Pulsar deployment with role-based access control. Define groups, assign permissions, and secure your data streams effortlessly at resource-level. OpenShift Compatibility: Seamlessly integrate Streamvisor with OpenShift environments. Enhance the flexibility of managing your Pulsar clusters to align with your infrastructure. We believe in the power of community collaboration, and your insights have played an important role in shaping Streamvisor v1.1. Check it out and let us know your thoughts. Your feedback continues to drive the evolution of our platform! -- Alex

Visit product View on Hacker NewsDec 18, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently, organizations · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, efficient · Missing: plus, intuitive, reviews

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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