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Official AWS Ruby gem for Amazon Elastic Kubernetes Service (Amazon EKS). This gem is part of the AWS SDK for Ruby.
Official AWS Ruby gem for Amazon Elastic Inference (Amazon Elastic Inference). This gem is part of the AWS SDK for Ruby.
Elastic (autosize) textareas for AngularJS, without jQuery dependency.
Boto is a Python package that provides interfaces to Amazon Web Services. It supports over thirty services, such as S3 (Simple Storage Service), SQS (Simple Queue Service), and EC2 (Elastic Compute Cloud) via their REST and Query APIs. The goal of boto is to support the full breadth and depth of Amazon Web Services. In addition, boto provides support for other public services such as Google Storage in addition to private cloud systems like Eucalyptus, OpenStack and Open Nebula.
Beats - Lightweight shippers for Elasticsearch & Logstash The Beats are lightweight processes, written in Go, that you install on your servers to capture all sorts of operational data like logs, operating system metrics or network packet data, and to send it to Elasticsearch, either directly or via Logstash, so it can be visualized with Kibana.
langchain-elasticsearch This package contains the LangChain integration with Elasticsearch. Installation pip install -U langchain-elasticsearch Elasticsearch setup Elastic Cloud You need a running Elasticsearch deployment. The easiest way to start one is through Elastic Cloud. You can sign up for a free trial. Create a deployment Get your Cloud ID: In the Elastic Cloud console, click "Manage" next to your deployment Copy the Cloud ID and paste it into the es_cloud_id parameter below Create an API key: In the Elastic Cloud console, click "Open" next to your deployment In the left-hand side menu, go to "Stack Management", then to "API Keys" Click "Create API key" Enter a name for the API key and click "Create" Copy the API key and paste it into the es_api_key parameter below Alternatively, you can run Elasticsearch via Docker as described in the docs. Usage ElasticsearchStore The ElasticsearchStore class exposes Elasticsearch as a vector store. from langchain_elasticsearch impor
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems. It provides fast and valuable HTTP statistics for system administrators that require a visual server report on the fly. Features: GoAccess parses the specified web log file and outputs the data to terminal. * General statistics, bandwidth, etc. * Time taken to serve the request (useful to track pages that are slowing down your site). * Metrics for cumulative, average and slowest running requests. * Top visitors. * Requested files & static files. * 404 or Not Found. * Hosts, Reverse DNS, IP Location. * Operating Systems. * Browsers and Spiders. * Referring Sites & URLs. * Keyphrases. * Geo Location - Continent/Country/City. * Visitors Time Distribution. * HTTP Status Codes. * Ability to output JSON and CSV. * Tailor GoAccess to suit your own color taste/schemes. * Support for large datasets + data persistence. * Support for IPv6. * Output statistics to HTML. and more... GoAccess allows any custom log format string. Predefined options include, but not limited to: * Amazon CloudFront (Download Distribution). * AWS Elastic Load Balancing. * Apache/Nginx Common/Combined + VHosts. * Google Cloud Storage. * W3C format (IIS).