Search Results for "disk space monitor"
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Showing 15 open source projects for "disk space monitor"
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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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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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MCP Monitor
A system monitoring tool that exposes system metrics
The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. -
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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes... -
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teler
Real-time HTTP Intrusion Detection
... include Slack, Mattermost, Telegram and Discord. We've our own metrics if you want to monitor threats easily, and we use Prometheus for that. You can just run it against your log file, write the log format and let teler analyze the log and show you alerts! teler allows any custom log format string! It all depends on how you write the log format in configuration file. -
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Erigon
Ethereum implementation on the efficiency frontier
Erigon is an implementation of Ethereum (execution client), on the efficiency frontier, written in Go. For an Archive node of Ethereum Mainnet we recommend >=3TB storage space: 1.8TB state (as of March 2022), 200GB temp files (can symlink or mount folder <datadir>/etl-tmp to another disk). Ethereum Mainnet Full node ( see --prune* flags): 400Gb. Erigon by default is "all in one binary" solution, but it's possible start TxPool as separated processes. Same true about: JSON RPC layer (RPCDaemon... -
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EC2 macOS Utils
Amazon EC2 macOS Utils provides common commands for Mac instances
... flags that can be set with any command. The grow command resizes an APFS container to its maximum size. This is done by fetching all disk and system partition information, repairing the physical device to update partition information, calculating the amount of free space available, and resizing the container to its max size. Repairing the physical device is necessary in order to properly allocate the amount of available free space. -
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distribyted
Torrent client with HTTP, fuse, and WebDAV interfaces
Distribyted is an alternative torrent client. It can expose torrent files as a standard FUSE mount or webDAV endpoint and download them on demand, allowing random reads using a fixed amount of disk space. Distribyted supports several ways to expose the files to the user or external applications. Applications that supports WebDAV can access torrent files using this protocol. It is recommended when distribyted is running in a remote machine or using docker. Distribyted can show some kind of files... -
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MarketStore
DataFrame server for financial timeseries data
... or the exploding cryptocurrencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem. The batteries are included with the basic install, you can start pulling crypto price data from GDAX and writing it to the db with a simple plugin configuration. MarketStore enables you to query DataFrame content over the network at as low latency as your local HDF5 files from disk. -
8
git-sizer
Compute various size metrics for a Git repository
git-sizer computes various size metrics for a local Git repository, flagging those that might cause you problems or inconvenience. Is the repository too big overall? Ideally, Git repositories should be under 1 GiB, and (without special handling) they start to get unwieldy over 5 GiB. Big repositories take a long time to clone and repack, and take a lot of disk space. Avoid storing generated files (e.g., compiler output, JAR files) in Git. It would be better to regenerate them when necessary... -
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pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
Deliver trusted data with dbtData teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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Big File Finder (BFF)
Program to find (all) files above a size at a target dir
Big File Finder, a simple program to find (all) files above a size at a target dir. -
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graphdot
Visualize Go module dependencies in Graphviz DOT format
Visualize Go module dependencies in Graphviz DOT format. Run graphdot in the directory of any project using Go modules with a go.mod file to print out a dependency graph in Graphviz DOT format. The output can be piped directly into dot to generate a PNG image file. For large graphs with many nodes of dependencies, you may want to generate an SVG file to allow you to zoom in with high fidelity and save disk space instead. If you like a more UML'ish style, you can use the provided graph... -
12
Jocko
Kafka implemented in Golang with built-in coordination
Kafka/distributed commit log service in Go. Protocol compatible with Kafka so Kafka clients and services work with Jocko. Use Serf for discovery, Raft for consensus (and remove the need to run ZooKeeper). Able to use percentages of disk space for retention policies rather than only bytes and time kept. Handling size configs when you change the number of partitions or add topics. API versioning [more API versions to implement]. Replication [first draft done - testing heavily now]. Partition... -
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FIND
High-precision indoor positioning framework for most wifi devices
Automate turning on lights with FIND by tracking the position of your phone indoorswith the FIND app. Track the location your laptop or embedded device in a small space using the FIND API. Monitor the location of many devices in a vicinity simultaneously using passive scanning. FIND attempts to simplify internal positioning. Internal positioning, simplified Using FIND, and only your smartphone or laptop, you will be able to pinpoint your position in your home or office. Unlike GPS on your... -
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SummitDB
In-memory NoSQL database with ACID transactions, Raft consensus, etc.
SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and is built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting. The easiest way to get SummitDB is to use one of the pre-built release binaries which are available for OSX, Linux, and Windows. SummitDB can be compiled and used on Linux, OSX, Windows, FreeBSD, ARM (Raspberry PI... -
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Novm
Experimental KVM-based VMM for containers, written in Go
novm is an experimental, minimalist virtual machine monitor that explores running Linux guests with a streamlined user-space control plane. Its goal is fast, scriptable VM lifecycle management—boot, snapshot, pause, resume—without the heft of a full cloud stack. The design favors small, understandable code paths around KVM and tap networking so developers can reason about isolation and performance trade-offs. It showcases patterns like process-per-VM supervision, concise configuration...
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