Search Results for "disk space"
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Showing 10 open source projects for "disk space"
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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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EC2 macOS Utils
Amazon EC2 macOS Utils provides common commands for Mac instances
...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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Mole
Dig deep like a mole to optimize you Mac
...It also includes optimization routines that rebuild caches, reset network services, trim swap files, and refresh indexes to keep the system feeling responsive. An interactive disk analyzer view helps you navigate directories with the keyboard to find space hogs, while status commands surface live CPU, memory, disk, and network metrics. -
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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), p2p layer (Sentry), history download layer (Downloader), consensus. ... -
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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 directly as folders, making it possible for applications to read only the parts that they need. ... -
Easy-to-Use Website Accessibility WidgetAll in One Accessibility is an AI based accessibility tool that helps organizations to enhance the accessibility and usability of websites quickly.
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5
MarketStore
DataFrame server for financial timeseries data
...It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, and granularity down to tick-level for the all US equities 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. -
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git-sizer
Compute various size metrics for a Git repository
...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, or store them in a package registry or even a fileserver. Avoid storing large media assets in Git. You might want to look into Git-LFS or git-annex, which allow you to version your media assets in Git while actually storing them outside of your repository. ... -
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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
...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 properties from uml.gprops. -
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Jocko
Kafka implemented in Golang with built-in coordination
...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 consensus and distribution. -
Yeastar: Business Phone System and Unified CommunicationsUser-friendly, optimized, and scalable, the Yeastar P-Series Phone System redefines business connectivity by bringing together calling, meetings, omnichannel messaging, and integrations in one simple platform—removing the limitations of distance, platforms, and systems.
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SummitDB
In-memory NoSQL database with ACID transactions, Raft consensus, etc.
...Go must be installed on the build machine. It may be worth noting that while SummitDB supports many Redis features, it is not a strict Redis clone. SummitDB provides one key space that is a large B-tree. An ordered key space allows for stable paging through keys using the KEYS command. Redis uses an unordered dictionary structure and provides a specialized SCAN command for iterating through keys.
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