Yandex Releases Perforator: Open-Source Tool to Optimize Server Costs and Performance
TL;DR
Optimize application performance and reduce infrastructure costs by up to 20% with Yandex's open-source Perforator tool.
Perforator uses eBPF technology to analyze code efficiency and resource usage for performance optimization without changing source code.
Yandex's Perforator empowers businesses to save millions annually, enabling innovation and growth while reducing environmental impact.
Yandex's Perforator offers support for profile-guided optimization and A/B testing, making it a versatile and accessible solution for developers and businesses.
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Yandex has introduced Perforator, an innovative open-source tool designed to help businesses dramatically reduce server infrastructure costs through advanced performance monitoring and optimization techniques. The tool enables organizations to identify and address resource-intensive code sections, potentially saving millions or even billions of dollars annually depending on the company's size.
Utilizing cutting-edge eBPF technology, Perforator provides comprehensive insights into server resource usage without compromising system performance. The tool supports multiple programming languages including C, C++, Go, Rust, Python, and Java, making it versatile for diverse technological environments.
Perforator's key features include detailed performance analytics, data visualization through flame graphs, and profile-guided optimization that can accelerate C++ programs by up to 10%. By enabling companies to optimize existing infrastructure instead of investing in additional equipment, the tool offers a cost-effective solution for organizations of all sizes.
The open-source release reflects Yandex's commitment to collaborative technology development. Sergey Skvortsov, the lead developer, emphasized that the tool can help businesses maximize server efficiency without sacrificing performance, ultimately reducing energy and equipment costs.
Companies can deploy Perforator directly on their servers, providing full data control and making it particularly attractive for organizations with strict security requirements. The tool's flexibility allows implementation across various scales, from small businesses with ten servers to large enterprises managing thousands of servers.
Future development plans include enhanced integration with Python and Java, as well as more precise event analysis. The source code is now available on GitHub, inviting developers and businesses worldwide to explore and contribute to its ongoing improvement.
Curated from News Direct
