Search Results for "distributed storage"
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Showing 11 open source projects for "distributed storage"
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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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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. -
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Google Cloud Platform Go Samples
Sample apps and code written for Google Cloud
...It also showcases integrations with services such as Pub/Sub, BigQuery, Cloud Functions, and Vertex AI, helping developers understand how to orchestrate distributed systems in Go. -
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Zeebe
Distributed Workflow Engine for Microservices Orchestration
Automate processes at scale with unprecedented performance and resilience. Zeebe is the workflow and decision engine that powers Camunda Platform 8. Zeebe’s cloud-native design provides the performance, resilience, and security enterprises need to future-proof their process orchestration efforts. Zeebe distributes data across all brokers in a cluster with storage directly on the server filesystem. If one broker goes down, another can replace it with no data loss. This pre-configured... -
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learn_python3_spider
Python crawler tutorial series, learning Python crawlers from 0 to 1
learn_python3_spider is a tutorial and example-code collection for learning web scraping with Python 3 from beginner to advanced topics. It introduces request capture, browser and mobile traffic inspection, and core scraping libraries such as Requests, BeautifulSoup, Selenium, Appium, and Scrapy. Lessons also cover JSON parsing, regular expressions, concurrency, proxy usage, login handling, and CAPTCHA-related techniques. Data can be stored with CSV, MySQL, or MongoDB examples. More advanced... -
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Substrate Node Template
A rust implementation of the Quip Protocol forked from Substrate
...The node supports development and testing environments with configurable genesis states and pre-funded accounts, making it suitable for experimentation and rapid prototyping. It also includes tools for running single-node or multi-node networks, enabling developers to simulate distributed consensus systems locally. The architecture is designed for extensibility, allowing custom consensus algorithms, storage models, and transaction logic to be integrated. -
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Deequ
Deequ is a library built on top of Apache Spark
Deequ is a library built atop Apache Spark that enables defining “unit tests for data” — that is, formal constraints or checks on datasets to ensure data quality along dimensions such as completeness, uniqueness, value ranges, correlations, etc. It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and... -
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AspNetCoreRateLimit
ASP.NET Core rate limiting middleware
AspNetCoreRateLimit is middleware for limiting requests to ASP.NET Core Web APIs and MVC applications. It can identify callers by IP address or client ID and apply separate policies to each category. Rules may target an entire application or specific endpoints, HTTP verbs, and URL paths. Administrators can define several quotas over intervals such as seconds or minutes and update those rules during runtime. The response returned after a quota is exceeded can be customized, and Redis can... -
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architecture.taobao-alibaba
Curated technical archive focused on the systems behind WeChat
...It is not an executable application, but a research repository that gathers presentations, papers, and architecture documents in one place. The collection covers backend evolution, distributed storage, messaging, social feeds, payment red packets, video delivery, push notifications, and high-concurrency design. Several documents examine PaxosStore and the consistency strategies used in large-scale services. Others explore performance optimization for hybrid apps, music products, and mobile web video. The repository is useful for engineers, architects, and students studying how production systems scale under massive demand. -
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Splitties
A collection of hand-crafted extensions for your Kotlin projects
...These libraries are intended to reduce the amount of code you have to write, freeing code reading and writing time, so you can focus more on what you want to build for your users (even if you're the only one), or have more time to have fun. This project is named "Splitties" because it is split in small modules, distributed as independent libraries, so you can add only the ones you need to your project/module, helping reduce the size of the final binary that users' devices will need to download and keep in the limited storage (BTW, everything is limited). Some Android targeting modules have content similar to what Anko offers. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
...It simplifies the process of running complex benchmarks by providing unified command-line workflows that handle resource provisioning, execution, and result collection. The framework includes a comprehensive set of predefined benchmarks covering areas such as compute, storage, networking, and distributed systems workloads. It is widely used by researchers, engineers, and organizations to evaluate cloud architectures and make informed infrastructure decisions. -
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ADO.Net DAC for Delphi
Fastest and most reliable database connectivity solutions for any DB
ADO.Net Data Access Components (DAC) for Delphi is the fastest and most reliable database connectivity solutions for any database using ADO.Net technology in Delphi. It provides data access to data sources such as SQL Server, Oracle and to data sources exposed through OLE DB and ODBC using ADO.Net data provider framework. ADO.Net DAC for Delphi is an enterprise solution with highest performance and unlimited possibilities. Data-sharing consumer applications can use ADO.NET DAC for Delphi to...
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