正文：
随着数字化转型的不断深入，企业对微服务、云原生和容器技术的应用越来越广泛。在这样的背景下，如何有效监控和管理这些复杂系统的性能和问题成为了一项挑战。朴朴科技通过实施创新的APM（应用性能管理）头部采样技术，成功实现了总成本的减半，展示了其在降本增效方面的创新实力。
朴朴科技的APM系统通过头部采样技术，实现了对上报数据的优化。这种技术通过对服务级别的数据进行分析，发现了一部分服务贡献了大量的数据量，而用户关心的数据量仅占很小一部分。通过针对这些数据进行采样，朴朴科技减少了上报的数据量，从而大幅降低了存储和查询的成本。
具体来说，朴朴科技首先分析了上报数据的分布规律，发现80%的数据量是由20%的服务产生的。因此，他们决定重点对这20%的服务进行头部采样，从而减少了总体数据量。此外，consumer服务占上报数据的大头，朴朴科技对这些服务进行了专门的采样优化。同时，他们还观察到上报数据有两个高峰期，这使得他们在高峰期进行数据削峰，从而降低了IT成本。
通过服务分级，朴朴科技将非核心服务或接口的采样比例提高，这样不仅减少了数据量，也提高了投入产出比。最后，由于用户关心的数据仅占上报数据的5%左右，朴朴科技重点保留了这部分数据，而忽略了用户不关心的数据。
通过这些创新的技术和策略，朴朴科技不仅有效提升了APM系统的性能，还大幅降低了运营成本。这种技术的成功实施，为其他企业提供了宝贵的经验和启示，表明通过技术和管理创新，可以有效应对数字化转型带来的挑战，实现可持续发展。
英语如下：
Title: POPOO Technology’s Cost-Cutting Masterstroke: APM Sampling Reduces Costs by Half
Keywords: Cost Reduction, POPOO, Sampling
Content:
Title: POPOO Technology Significantly Reduces APM Costs with Innovative Sampling Technology
As digital transformation continues to deepen, the adoption of microservices, cloud-native, and container technologies has become increasingly prevalent among enterprises. In this context, the challenge of effectively monitoring and managing the performance and issues of these complex systems has emerged. POPOO Technology has successfully halved its total costs by implementing an innovative APM (Application Performance Management) head-based sampling technology, showcasing its innovative prowess in cost reduction and efficiency enhancement.
POPOO Technology’s APM system achieves data optimization through head-based sampling technology. This technology analyzes service-level data to find that a significant portion of the data volume is contributed by a small fraction of services, while the data users are concerned about represents only a tiny fraction of the total. By sampling this data, POPOO Technology reduces the volume of reported data, thereby significantly lowering storage and query costs.
Specifically, POPOO Technology first analyzed the distribution pattern of reported data and found that 80% of the data volume was generated by 20% of the services. Therefore, they decided to focus on sampling the 20% of services that contribute the most data, thereby reducing the overall data volume. Additionally, consumer services account for a large portion of the reported data, and POPOO Technology has optimized sampling specifically for these services. Furthermore, they observed two peak periods for reported data, which allowed them to flatten the data peaks during these periods, thereby reducing IT costs.
Through service tiering, POPOO Technology increases the sampling ratio for non-core services or interfaces, which not only reduces data volume but also improves the return on investment. Finally, since the data users are concerned about only accounts for about 5% of the reported data, POPOO Technology focuses on retaining this data while ignoring the data that users are not concerned about.
Through these innovative technologies and strategies, POPOO Technology not only effectively enhances the performance of its APM system but also significantly reduces operational costs. The successful implementation of this technology provides valuable experience and inspiration for other enterprises, indicating that through technological and managerial innovation, it is possible to effectively address the challenges brought about by digital transformation and achieve sustainable development.
【来源】https://mp.weixin.qq.com/s/PtN99r5RcbYKpo9u-JmM1A
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