Search Results for "elastic"
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Showing 181 open source projects for "elastic"
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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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Catch Bugs Before Your Customers DoMove from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
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Elastic UI Framework
Elastic UI Framework
The Elastic UI framework (EUI) is a design library in use at Elastic to build internal products that need to share our aesthetics. It distributes UI React components and static assets for use in building web layouts. Uses high contrast, color-blind safe palettes and is tested with most assistive technology. Configurable enough to meet the needs of a wide array of contexts while maintaining brand and low-level consistency. -
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Elastic Cloud on Kubernetes (ECK)
Elastic Cloud on Kubernetes
Elastic Cloud on Kubernetes automates the deployment, provisioning, management, and orchestration of Elasticsearch, Kibana, APM Server, Enterprise Search, Beats, Elastic Agent, and Elastic Maps Server on Kubernetes based on the operator pattern. -
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Amazon Elastic Block Store CSI driver
CSI driver for Amazon EBS
Amazon Elastic Block Store (Amazon EBS) is an easy-to-use, scalable, high-performance block-storage service designed for Amazon Elastic Compute Cloud (Amazon EC2). The Amazon Elastic Block Store Container Storage Interface (CSI) Driver provides a CSI interface used by Container Orchestrators to manage the lifecycle of Amazon EBS volumes. -
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Elastic APM Node.js Agent
Elastic APM Node.js Agent
This is the official Node.js application performance monitoring (APM) agent for the Elastic Observability solution. It is a Node.js package that runs with your Node.js application to automatically capture errors, tracing data, and performance metrics. APM data is sent to your Elastic Observability deployment -- hosted in Elastic's cloud or in your own on-premises deployment -- where you can monitor your application, create alerts, and quick identify root causes of service issues. ... -
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APM Server
APM Server
Elastic APM is an application performance monitoring system built on the Elastic Stack. It allows you to monitor software services and applications in real-time, by collecting detailed performance information on response time for incoming requests, database queries, calls to caches, external HTTP requests, and more. This makes it easy to pinpoint and fix performance problems quickly. -
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Kibana
Your window into the Elastic Stack
Kibana is a analytics and search dashboard for Elasticsearch that allows you to visualize Elasticsearch data and efficiently navigate the Elastic Stack. With Kibana you can visualize and shape your data simply and intuitively, share visualizations for greater collaboration, organize dashboards and visualizations, and so much more. -
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apm-agent-dotnet
Elastic APM .NET Agent
Elastic APM .NET Agent. The agent can automatically instrument .NET Framework, .NET Core, and .NET applications using the .NET CLR Profiling APIs. The Profiling APIs provide a way to instrument an application or dependency code without code changes. -
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Docker-ELK
The Elastic stack (ELK) powered by Docker and Compose
A turnkey Docker Compose stack to spin up the ELK stack (Elasticsearch, Logstash, Kibana) for log collection, analysis, and visualization. Based on official Elastic images and enhanced with configuration defaults optimized for local development and testing. -
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Laravel Elasticsearch
An easy way to use the official Elastic Search client in your Laravel
An easy way to use the official Elastic Search client in your Laravel or Lumen applications. -
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elastic-package
Package for finite difference solution of elastic wave equations
This package uses the summation-by-parts finite difference framework to facilitate numerical solution of elastic wave equations. -
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elastic-curvilinear
SBP-SAT finite difference code for anisotropic elasticity
SBP-SAT finite difference code for general anisotropic elasticity in complex geometries -
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apm-agent-java
Elastic APM Java Agent
Elastic APM Java Agent. Using the -javaagent option is the most common way to set up Java agents on a JVM. -
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Lasso.jl
Lasso/Elastic Net linear and generalized linear models
Lasso.jl is a pure Julia implementation of the glmnet coordinate descent algorithm for fitting linear and generalized linear Lasso and Elastic Net models. -
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Efawin
Interact with AWS Elastic Fabric Adapter on Windows
Efawin library helps applications on Windows to interact with Elastic Fabric Adapter hardware on AWS EC2. It provides the necessary functionality through an interface that is very close to infiniband verbs interface. At this time, this library is scoped to support the libfabric efa provider that is part of the Open Fabrics Interfaces (OFI). See the OFI website for more information on libfabric. Any other use of the library is not tested or supported. -
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Fluid
Fluid, elastic data abstraction and acceleration for BigData/AI apps
Fluid, elastic data abstraction and acceleration for BigData/AI applications in the cloud. Provide DataSet abstraction for underlying heterogeneous data sources with multidimensional management in a cloud environment. Enable dataset warmup and acceleration for data-intensive applications by using a distributed cache in Kubernetes with observability, portability, and scalability. -
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Session Manager Plugin
This plugin helps you to use the AWS Command Line Interface (AWS CLI)
...Session Manager supports connecting to Amazon Elastic Compute Cloud (Amazon EC2) instances, in addition to servers or virtual machines (VMs) in your hybrid environment that use the advanced-instances tier. Session Manager supports EC2 instances, edge devices, and on-premises servers and virtual machines (VMs) in your hybrid environment that use the advanced-instances tier. -
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Beats
Lightweight data shippers of the Elastic Stack
Beats is a platform of lightweight, single-use data shippers written in Go. It captures all sorts of operational data from hundreds or thousands of machines and systems and sends them to Logstash or Elasticsearch. Beats is lightweight in that it has a small installation footprint, uses limited system resources and has no runtime dependencies. It consists of: Auditbeat (for audit data), Filebeat (for log files), Functionbeat (serverless shipper), Heartbeat (for uptime monitoring),... -
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Databend
Cloud-native open source data warehouse for analytics and AI queries
...It is designed with a separation of compute and storage, allowing compute nodes to scale independently while storing data in object storage systems. This architecture enables cost-efficient storage and elastic scaling for workloads that involve large datasets and complex queries. Databend provides a unified engine capable of handling analytics, vector search, and full-text search within a single platform. Databend supports SQL-based workflows and enables real-time data ingestion, transformation, and analysis through streaming and task orchestration features. ... -
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AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
...The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. You can send the segment/subsegment in JSON over UDP port 2000 to the X-Ray daemon, prepended by the daemon header. On AWS Lambda and AWS Elastic Beanstalk, use those services' integration with X-Ray to run the daemon. Lambda runs the daemon automatically any time a function is invoked for a sampled request. On Elastic Beanstalk, use the XRayEnabled configuration option to run the daemon on the instances in your environment. To run the X-Ray daemon locally, on-premises, or on other AWS services, download it, run it, and then give it permission to upload segment documents to X-Ray. -
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Volcano
A Cloud Native Batch System (Project under CNCF)
Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. ... -
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Ubicloud
Open source alternative to AWS. Elastic compute, block storage
Ubicloud is an open-source cloud platform that aims to provide a decentralized alternative to traditional hyperscale cloud providers. It focuses on building a federated network of providers where individuals and organizations can contribute infrastructure and offer compute, storage, and networking resources. Ubicloud emphasizes transparency and openness: APIs, orchestration, and management layers are open, enabling users to audit and customize their infrastructure instead of relying on... -
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photon
An open source geocoder for openstreetmap data
photon is an open-source geocoder built for OpenStreetMap data. It is based on elastic search - an efficient, powerful and highly scalable search platform. photon was started by komoot and provides search-as-you-type and multilingual support. Find our public API and demo on photon.komoot.io. Until October 2020 the API was available under photon.komoot.de. Please update your apps accordingly. -
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AWS VPC Terraform module
Terraform module which creates VPC resources on AWS
...By default, if NAT Gateways are enabled, private subnets will be configured with routes for Internet traffic that point at the NAT Gateways configured by use of the above options. Since AWS Lambda functions allocate Elastic Network Interfaces in proportion to the traffic received, it can be useful to allocate a large private subnet for such allocations, while keeping the traffic they generate entirely internal to the VPC.
