Question 1

这些数据的来源是什么?

Accepted Answer

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。

Question 2

数据多久更新一次?

Accepted Answer

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

Question 3

什么是Flagr?

Accepted Answer

Flagr is a cuttingedge technology that revolutionizes feature flags management providing companies with the ability to control new features experiments and changes in their software easily Feature flags also known as feature toggles allow developers to separate code deployment from feature release enabling a more controlled and seamless process Flagr streamlines this process by offering a centralized platform where teams can efficiently manage and track their feature flags ensuring smoother releases and better user experiences

In the realm of technology Flagr falls under the category of Feature Flags Management This category focuses on optimizing software development and release processes by allowing developers to toggle features on and off without changing code Feature flags facilitate continuous delivery and enable teams to release new functionalities to specific users or segments gradually By providing an interface to manage these flags effectively Flagr empowers companies to experiment with features gather feedback and make informed decisions based on realtime data

Flagr was founded in 2018 by a group of software engineers and product managers who recognized the growing need for a robust feature flag management system in the industry Their motivation stemmed from the challenges faced by development teams in coordinating feature releases and minimizing disruptions Since its inception Flagr has gained recognition for its userfriendly interface scalability and advanced feature flag capabilities With a dedicated team continuously enhancing the platform Flagr has solidified its position in the market

Currently Flagr holds a significant market share within the Feature Flags Management category with many leading tech companies adopting its technology to streamline their development processes As more organizations prioritize agile development and continuous delivery practices the demand for feature flag management solutions like Flagr is expected to increase With its innovative features and commitment to enhancing user experience Flagr is poised for continued growth and success in the foreseeable future

Question 4

如何获得使用Flagr的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Flagr 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

Flagr 有多少客户？

Accepted Answer

截至目前，我们拥有关于 13 家使用 Flagr 的公司的数据。

Question 6

谁在使用Flagr?

Accepted Answer

Flagr 被广泛应用于包括 "Human Resources Services", "Higher Education", "Technology, Information and Internet", "Technology, Information and Internet", "Staffing and Recruiting", "IT Services and IT Consulting", "Staffing and Recruiting", "Insurance", "IT Services and IT Consulting" 在内的各个行业的各种组织中。欲了解所有使用 Flagr 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Flagr?

Accepted Answer

一些使用Flagr的公司包括TriSearch, UOL EdTech, vidIQ, Dice, Experis, Randstad Digital Americas, Progressive, Progressive Insurance, FUSTIS LLC以及更多公司。您可以在TheirStack.com上找到使用Flagr的13家公司完整列表。

Question 8

哪些国家使用Flagr最多？

Accepted Answer

根据我们的数据，Flagr 在 美国 (7 companies), 英国 (1 companies), 巴西 (1 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Flagr的公司？

Accepted Answer

您可以在TheirStack.com上搜索Flagr，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
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Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

使用 Flagr 的公司

如何针对Flagr用户进行定位

Flagr 替代品和竞争对手

Compose

Rollout

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Morpheus

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Airship

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OpenNebula

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TeleVox

Pax8

Azure Cloud Shell

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Bullet Train

Hetzner Cloud

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Commandeer

HP Operations Manager

RightScale

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CloudZero

Micro Focus Operations Orchestration

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Flipt

MongoDB Cloud Manager

VMware vCenter Operations

reOptimize

ConfigCat

NUSO

AppDynamics Application Performance Monitoring

Flagsmith

VMWare CloudHealth

Optimizely Full Stack

Micro Focus Operations Manager

HashiCorp Cloud Platform

2nd Watch

Azure App Service plan

Datadog Synthetic Monitoring