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    The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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    LWT ◆ Learning with Texts

    LWT ◆ Learning with Texts

    ◆ A Versatile Tool for Language Learning ◆

    THE #1 LANGUAGE LEARNING FREEWARE ON SOURCEFORGE WITH ~400 DOWNLOADS PER MONTH Learning with Texts (LWT) is a versatile tool for Language Learning - inspired by Stephen Krashen's principles in Second Language Acquisition, Steve Kaufmann's LingQ system, ideas from Khatzumoto (AJATT = "All Japanese All The Time") and the Vera F. Birkenbihl approach to language learning. Read & listen, save & test words in context! READ MORE: https://learning-with-texts.sourceforge.io PLEASE NOTE:...
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    Downloads: 75 This Week
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