Search Results for "monitor control"
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Showing 9 open source projects for "monitor control"
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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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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Dagster
An orchestration platform for the development, production
Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust... -
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Sensu Go
Simple. Scalable. Multi-cloud monitoring
...Connectivity moves from remote polling to publish-subscribe, the control plane moves from point-and-click interfaces to infrastructure as code workflows and self-service developer APIs. -
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Laravel Horizon
Dashboard and code-driven configuration for Laravel queues
Horizon provides a beautiful dashboard and code-driven configuration for your Laravel-powered Redis queues. Horizon allows you to easily monitor key metrics of your queue system such as job throughput, runtime, and job failures. All of your worker configuration is stored in a single, simple configuration file, allowing your configuration to stay in source control where your entire team can collaborate. When using Horizon, all of your queue worker configuration is stored in a single, simple configuration file. ... -
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Oddjob
Java Job Scheduling and Task Automation
A flexible job scheduler for the distributed environment. Schedule a job on any server - from any server. Create dependencies and trigger alerts across the network. Monitor and control it all from your desktop. -
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t... -
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SocketCluster
Highly scalable realtime pub/sub and RPC framework
Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster,... -
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Sentinel Golang
Sentinel Go enables reliability and resiliency for Go microservices
As distributed systems become increasingly popular, the reliability between services is becoming more important than ever before. Sentinel takes "flow" as the breakthrough point and works on multiple fields including flow control, circuit breaking and system adaptive protection, to guarantee the reliability and resiliency of microservices. Rich applicable scenarios: Sentinel has been wildly used in Alibaba, and has covered almost all the core-scenarios in Double-11 (11.11) Shopping Festivals... -
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The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
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JAT is a JUnit-like framework for building and running test scenarios for multi agent systems developed in JADE platform. It relies on the use of aspect-oriented techniques to monitor agents’ interactions and to control the test input.
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