Displaying 1 to 10 from 10 results

Snap - A powerful open telemetry framework

  •    Go

Snap is an open telemetry framework designed to simplify the collection, processing and publishing of system data through a single API. The goals of this project are to Empower systems to expose a consistent set of telemetry data, Simplify telemetry ingestion across ubiquitous storage systems, Provide powerful clustered control of telemetry workflows across small or large clusters and lot more.

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data

  •    Java

Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. Data flow can be tracked and modified at run time. It automates the movement of data between disparate data sources and systems, making data ingestion fast, easy and secure. The project was created by the United States National Security Agency (NSA).

Fluentd - Unified Logging Layer

  •    Ruby

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure. Fluentd can be used to tail access/error logs and transport them reliably to remote systems. It can "grep" for events and send out alerts. It can function as middleware to enable asynchronous, scalable logging for user action events.

Fluent Bit - Fast and Lightweight Logs and Metrics processor

  •    C

Fluent Bit is a fast Log Processor and Forwarder, it allows to collect log events or metrics from different sources, process them and deliver them to different backends such as Fluentd, Elasticsearch, Splunk, DataDog, Kafka, New Relic, Azure services, AWS services, Google services, NATS, InfluxDB or any custom HTTP end-point. It also comes with full SQL Stream Processing capabilities: data manipulation and analytics using SQL queries.

Vor - Set of services for gathering metrics by polling systems and delivering them to graphite

  •    Python

Vor is a set of services for gathering metrics by polling systems and delivering them to graphite. Currently there is support for polling metrics from Elasticsearch and Redis.

TMViewTrackerSDK - ViewTracker is a sdk can help Developers to collect exposure and click events automatically

  •    Objective-C

ViewTracker is a tool to automatically collect exposure and click event data.Now just support Objective-C, not swift support.

wikicrush - Processor scripts for Wikipedia dumps to crush them into a dense binary format that is easy to pathfind with

  •    Ruby

Extracts link graphs in a variety of formats from Wikipedia data dumps. This includes a highly compact binary graph format designed for very efficient graph searches.It can compress a recent 10GB compressed Wikipedia dump into a 630MB binary link graph and a 550MB sqlite database for translating article names into binary graph offsets.

rxtx - Queue based data collector, transmitter with store-and-forward

  •    Go

rxtx is a queue based data collector > data transmitter. Useful for online/offline data collection, back pressure buffering or general queuing. rxtx uses bbolt maintained by CoreOs, a single file database for storing messages before they can be sent. rtbeat was developed to consume rxtx POST data and publish as events into elasticsearch, logstash, kafka, redis or directly to log files.

form-api - 🗃 Data Collector as a Service.

  •    Go

Data Collector as a Service — your personal server for HTML forms. You can find API specification here. Also, we recommend using Insomnia HTTP client to work with the API - you can import data for it from the file. Or you can choose Postman - its import data is here and here.

bolero - :dancer: Construct your personal API

  •    Python

Bolero backs up and cleans personal data, and allows you to expose that data as a personal RESTful API. Consuming APIs to access your personal data is a pain. API wrappers make this work less tedious, but each service still has it's own authentication mechanism and data schema. Bolero abstracts away the API layer of downloading your data. Simply authenticate a Bolero tracker with each of your services, and access your data locally via RESTful API or SQL database.

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