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Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation
- payments
- rust
- orchestration
- hacktoberfest
A high-performance observability data pipeline.
- logs
- metrics
- observability
- forwarder
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
- telegraf
- monitoring
- time-series
- metrics
QuestDB is a high performance, open-source, time-series database
- time-series
- low-latency
- database
- sql
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
Logstash - transport and process your logs, events, or other data
Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
A network event stream processing system, in Clojure.
- riemann
- events
- clojure
- monitoring
Open source framework for processing, monitoring, and alerting on time series data
- kapacitor
- monitoring
- time-series
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
- clickhouse
- kakfa
- sql
- redpanda
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
This library provides a set of F# helpers for string manipulations, logging, collection data structures, file operations, text processing, security, async, parsing, diagnostics, configuration files and Json serialization.
Daggy - Data Aggregation Utility and C/C++ developer library for data streams catching
- serverless-framework
- streaming
- stream-processing
- qt
Small, Fast event processing and monitoring for Erlang/OTP applications.
Elixir library to log custom application metrics, in a well-structured, human and machine readable format, for use by downstream log processing systems (Librato, Reimann, etc...)
- elixir
- metrics
- librato
Observability stack for Stacks blockchain nodes and signers - dashboards, alerts, and log processing