Search Results for "ofn-export-layers"
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Showing 14 open source projects for "ofn-export-layers"
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endlessh-go
A golang implementation of endlessh exporting Prometheus metrics
...Unfortunately the wonderful original C implementation of endlessh only provides text based log, but I do not like the solution that writes extra scripts to parse the log outputs, then exports the results to a dashboard, because it would introduce extra layers in my current setup and it would depend on the format of the text log file rather than some structured data. Thus I create this golang implementation of endlessh to export Prometheus metrics and a Grafana dashboard to visualize them. -
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go-libp2p
libp2p implementation in Go
...Used in systems like IPFS and Filecoin, go-libp2p abstracts away the complexity of building decentralized networks by handling discovery, transport, security, and multiplexing layers. Its modular architecture allows developers to customize network behavior while maintaining interoperability with other libp2p implementations. It empowers developers to build robust and scalable P2P applications across a variety of use cases. -
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Nightingale
A distributed and high-performance monitoring system
Nightingale is a distributed and high-performance monitoring system. Prometheus enterprise edition. Nightingale is a new generation of domestic intelligent monitoring system. It has good support for cloud-native scenarios and traditional physical machine virtual machine scenarios. It takes 10 minutes to complete the construction and is familiar with use in 1 hour. It has been verified by the massive data of the production environment of Didi, and hopes to create a benchmark for domestic... -
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Kraken
P2P Docker registry capable of distributing TBs of data in seconds
Kraken is a P2P-powered Docker registry that focuses on scalability and availability. It is designed for Docker image management, replication, and distribution in a hybrid cloud environment. With pluggable backend support, Kraken can easily integrate into existing Docker registry setups as the distribution layer. Kraken has been in production at Uber since early 2018. In our busiest cluster, Kraken distributes more than 1 million blobs per day, including 100k 1G+ blobs. At its peak... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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OpenTelemetry
OpenTelemetry Go API and SDK
...High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. -
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pgmetrics
Collect and display information and stats from a running PostgreSQL
pgmetrics is an open-source, zero-dependency, single-binary tool that can collect 350+ metrics from a running PostgreSQL server and display it in easy-to-read text format or export it as JSON and CSV for scripting. pgmetrics is a PostgreSQL monitoring tool that generates detailed reports on database performance, health, and usage. -
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SigLens
100x Efficient Log Management than Splunk
Siglens is an open-source signal analysis toolkit designed for processing and visualizing time-series data, commonly used in scientific and engineering applications. -
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Pulse
Real-time monitoring for Proxmox, Docker, and Kubernetes
...It is designed to give operators a single pane of glass for observing system health, metrics, and alerts without the complexity typically associated with enterprise monitoring stacks. The platform aggregates telemetry from multiple infrastructure layers and presents it through a responsive web interface optimized for homelabs, managed service providers, and system administrators. Pulse incorporates smart alerting capabilities and optional AI-assisted insights that help users interpret infrastructure events and detect anomalies faster. Its architecture supports automatic discovery of nodes and persistent metric storage, enabling both real-time visibility and historical analysis. ... -
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mtail
Extract internal monitoring data from application logs
Extract internal monitoring data from application logs for collection in a time-series database. mtail is a tool for extracting metrics from application logs to be exported into a timeseries database or timeseries calculator for alerting and dashboarding. It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. ... -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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OpenTelemetry Collector
OpenTelemetry Collector
The OpenTelemetry Collector offers a vendor-agnostic implementation on how to receive, process, and export telemetry data. In addition, it removes the need to run, operate, and maintain multiple agents/collectors in order to support open-source telemetry data formats (e.g. Jaeger, Prometheus, etc.) to multiple open-source or commercial back-ends. -
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Go Backend Clean Architecture
A Go (Golang) Backend Clean Architecture project with Gin, MongoDB
This repository is a production-minded Go backend starter that applies Clean Architecture to keep business logic independent from frameworks, databases, and delivery mechanisms. It organizes code into layers—domain, use cases, interfaces/adapters—so swapping an HTTP framework or database does not ripple through core logic. The template includes well-chosen scaffolding for configuration, logging, dependency injection, error handling, and request validation so teams can focus on business features. It demonstrates practical patterns for repository interfaces, DTOs, and consistent response envelopes that keep APIs predictable. ... -
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go-elasticsearch
The Go client for Elasticsearch
...The elasticsearch package ties together two separate packages for calling the Elasticsearch APIs and transferring data over HTTP, esapi and elastictransport, respectively. When you export the ELASTICSEARCH_URL environment variable, it will be used to set the cluster endpoint(s). Separate multiple adresses by a comma. The _examples folder contains a number of recipes and comprehensive examples to get you started with the client, including configuration and customization of the client, using a custom certificate authority (CA) for security (TLS), mocking the transport for unit tests. -
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PingMe
CLI tool which provides ability to send messages to multiple platforms
...I needed a small app which i can just call from my backup scripts, cron jobs, CI/CD pipelines or from anywhere to send a message with particular information. And i can ship it everywhere with ease. Hence, the birth of PingMe. Everything is configurable via environment variables, and you can simply export the logs or messages to a variable which will be sent as message, and most of all this serves as a swiss army knife sort of tool which supports multiple platforms. Supported services Discord Email Microsoft Teams Mattermost Pushover Pushbullet RocketChat Slack Telegram Twillio -
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kubernetes-event-exporter
Export Kubernetes events to multiple destinations with routing
This tool allows exporting the often missed Kubernetes events to various outputs so that they can be used for observability or alerting purposes. You won't believe what you are missing. Configuration is done via a YAML file, when run in Kubernetes, ConfigMap. The tool watches all the events and the user has to option to filter out some events, according to their properties. Critical events can be routed to alerting tools such as Opsgenie, or all events can be dumped to an Elasticsearch...
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