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July pushed Globalping toward faster, more diagnosable measurements: large result sets became dramatically more responsive, while new failure-source reporting and configurable timeouts make it much easier to understand when and why a test fails. The same month also brought a series of backend scalability improvements and tighter controls around probe quality and discovery. Faster, richer measurement results The Globalping website’
June’s standout change was a major overhaul of how Globalping presents raw measurement results, paired with substantial performance work to keep those results responsive as they stream in. Behind that visible refresh, we also strengthened measurement completion under load and improved several supporting parts of the platform, from probe efficiency and account handling to authentication and deployments. A redesigned
May laid the groundwork for one of Globalping’s bigger capabilities: scheduled measurements, with the API gaining the first pieces needed to run recurring tests and export their results as time-series data. The month also introduced account notifications and credit alerts, while improving sponsorship accounting and hardening probe and API behavior. Scheduled measurements take shape Globalping gained the first backend
April made Globalping noticeably better at handling large measurements, both in the backend and in the browser. Measurement storage and delivery were optimized to reduce memory and CPU overhead, while the website gained better controls, cleaner raw output, and the ability to stop running measurements directly from the UI. Faster handling of large measurements The API introduced several optimizations around
March combined a substantial refresh of Globalping’s public network experience with a push to make probe adoption and large-result delivery more reliable. The API also received several targeted performance improvements aimed at reducing Redis pressure and response-processing overhead under concurrent load. A richer network explorer The network page received a significant design update, including better behavior when results aren’
