Haystack Analytics
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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.
Haystack AnalyticsHaystack Analytics's answer
Engineering Leaders and Managers
Based on our record, Zipkin seems to be a lot more popular than Haystack Analytics. While we know about 33 links to Zipkin, we've tracked only 2 mentions of Haystack Analytics. 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.
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
Distributed tracing systems like zipkin Aim to address these challenges by allowing visualisation of flows on environments with a full setup. Code can be traced By using mono-repos with the event names being the same across services. These are techniques To deal with the inability to trace code/flows across systems and while neither of them are as effective as tracing Usages of your code, they help drive a... - Source: dev.to / 8 months ago
The standard observability stack includes Prometheus for metrics collection, Grafana for visualization, and AlertManager for notifications. For logging, consider Fluent Bit or Fluentd with Elasticsearch or cloud logging services. Jaeger or Zipkin provide distributed tracing for microservices debugging. - Source: dev.to / about 1 year ago
Distributed tracing: This technology follows requests as they bounce Between services, showing you exactly where things slow down or break. Tools like Jaeger and Zipkin support OpenTracing standards, and leveraging an OpenTelemetry plugin can make it possible to track requests across different service boundaries without losing the thread. - Source: dev.to / over 1 year ago
Getting Started: Use tools like Jaeger, Zipkin, or OpenTelemetry. Focus on critical paths, set smart sampling rules, and align trace data with system metrics. - Source: dev.to / over 1 year ago
Logging and Tracing: Use centralized logging and distributed tracing to gain visibility into the flow of requests across microservices. This helps you diagnose issues more effectively and understand the impact of changes. Tools like Jaeger or Zipkin can be integrated with your API gateway to provide detailed tracing information. - Source: dev.to / over 1 year ago
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
CentminMod - Centmin Mod is a LEMP stack shell menu based auto installer.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
VPSSIM - VPSSIM provides installer enabling users to install LEMP stack on their servers.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.