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Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
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Haystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Server Fault should be more popular than Haystack Analytics. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Isn't that basically https://stackoverflow.com/ and/or https://serverfault.com/ ? - Source: Hacker News / over 1 year ago
The best starting points for this would be the iproute2 man page [1], superuser [2] and serverfault [3]. There are potentially also Linux namespaces to consider. There are also some youtube videos that can walk you through the 'ip' command and debugging routes. Start with "debug route linux iproute2" in their search. That's a topic probably too big for HN I think. [1] -... - Source: Hacker News / about 3 years ago
See the link to serverfault.com above, that seems the closest advice so far but too early to tell. Source: over 3 years ago
I would but the guys here are a bit lazy so I thought of a script - this is from serverfault.com so I need to change the security descriptor to modify. Source: almost 4 years ago
Fundamentally, "dev" and "ops" require different skillsets. Dev experience does not translate to ops. An experienced "ops" might be able to rootcause an issue by pattern matching its markers to previous experience. A green "dev" is just that, green, and will usually operate with the handicap of a huge learning curve ahead. Sites like https://serverfault.com make it a bit easier to poke around, but are not a... - Source: Hacker News / almost 4 years ago
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
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