Search Results for "cluster"
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Showing 60 open source projects for "cluster"
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1
Kubernetes Capsule
Multi-tenancy and policy-based framework for Kubernetes
...To overcome this, cluster admins tend to provision a dedicated cluster for each groups of users, teams, or departments. As an organization grows, the number of clusters to manage and keep aligned becomes an operational nightmare, described as the well known phenomena of the clusters sprawl. -
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Inspektor Gadget
The eBPF tool and systems inspection framework for Kubernetes
Inspektor Gadget is a collection of tools (or gadgets) to debug and inspect Kubernetes resources and applications. It manages the packaging, deployment, and execution of eBPF programs in a Kubernetes cluster, including many based on BCC tools, as well as some developed specifically for use in Inspektor Gadget. It automatically maps low-level kernel primitives to high-level Kubernetes resources, making it easier and quicker to find the relevant information. -
3
Operator Lifecycle Manager
A management framework for extending Kubernetes with Operators
...Read more in the introduction blog post and learn about practical use cases at the OLM website. OLM extends Kubernetes to provide a declarative way to install, manage, and upgrade Operators and their dependencies in a cluster. Kubernetes clusters are being kept up to date using elaborate update mechanisms today, more often automatically and in the background. Operators, being cluster extensions, should follow that. OLM has a concept of catalogs from which Operators are available to install and keep up to date. In this model, OLM allows maintainers granular authoring of the update path and gives commercial vendors a flexible publishing mechanism using channels. -
4
k3sup
bootstrap K3s over SSH in < 60s
...The tool is written in Go and is cross-compiled for Linux, Windows, MacOS and even on Raspberry Pi. This tool uses ssh to install k3s to a remote Linux host. You can also use it to join existing Linux hosts into a k3s cluster as agents. First, k3s is installed using the utility script from Rancher, along with a flag for your host's public IP so that TLS works properly. The kubeconfig file on the server is then fetched and updated so that you can connect from your laptop using kubectl. k3sup was developed to automate what can be a very manual and confusing process for many developers, who are already short on time. ... -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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5
KOTS
KOTS provides the framework, tools and integrations
...The install command is the recommended way to learn KOTS. Executing the install command will install an application and the kotsadm Admin Console to an existing Kubernetes cluster. This command supports installing Helm charts (without Tiller), standard Kubernetes applications and also Replicated KOTS apps. -
6
Kubeshark
The API traffic viewer for Kubernetes providing deep visibility
The API traffic viewer for Kubernetes providing deep visibility into all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Think TCPDump and Wireshark re-invented for Kubernetes. Deep visibility and monitoring of all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. View all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Search all real-time and historical recorded API traffic and payloads using a comprehensive query language. ... -
7
spring-cloud-gateway
A Gateway built on Spring Framework and Spring Boot
Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems (e.g. configuration management, service discovery, circuit breakers, intelligent routing, micro-proxy, control bus, one-time tokens, global locks, leadership election, distributed sessions, cluster state). Coordination of distributed systems leads to boiler plate patterns, and using Spring Cloud developers can quickly stand up services and applications that implement those patterns. They will work well in any distributed environment, including the developer’s own laptop, bare metal data centres, and managed platforms such as Cloud Foundry. ... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. ... -
9
k3s in docker
Little helper to run CNCF's k3s in Docker
...Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. This means, that you can spin up a multi-node k3s cluster on a single machine using docker. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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10
gocql
Package gocql implements a fast and robust Cassandra client for Go
GoCQL automatically discovers all data centers, racks and hosts in your cluster manages a pool of connections to them and distributes queries in a reasonable and efficient way. Automatic and safe type conversion between Cassandra and Go without any loss of precision. Basic types, collections and UUIDs are supported by default and custom types can implement their own marshaling logic. Synchronous API with an asynchronous and concurrent back-end. -
11
Elasticsearch Exporter
Elasticsearch stats exporter for Prometheus
Prometheus exporter for various metrics about Elasticsearch, written in Go. The exporter fetches information from an Elasticsearch cluster on every scrape, therefore having a too short scrape interval can impose load on ES master nodes, particularly if you run with --es.all and --es.indices. We suggest you measure how long fetching /_nodes/stats and /_all/_stats takes for your ES cluster to determine whether your scraping interval is too short. As a last resort, you can scrape this exporter using a dedicated job with its own scraping interval. ... -
12
node-rate-limiter-flexible
Count and limit requests by key with atomic increments
...Average request takes 0.7ms in Cluster and 2.5ms in a Distributed application. See benchmarks. It provides a unified API for all limiters. Whenever your application grows, it is ready. Prepare your limiters in minutes. No matter which node package you prefer: redis or ioredis, sequelize/typeorm or knex, memcached, native driver or mongoose. It works with all of them. -
13
Spring Data Redis
Provides support to increase developer productivity in Java
...RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X. -
14
future
R package: future: Unified Parallel and Distributed Processing in R
...It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions, managing of packages, RNG, etc. Automatic detection and export of global objects and functions needed by future expressions, so the user doesn’t need to manage that manually. Ability to control how futures are resolved. -
15
tsuru
Open source and extensible Platform as a Service (PaaS)
Tsuru is an open source Platform as a Service software, focused in Developer productivity. Tsuru goes beyond 12 factor apps. Run any application written in any language or framework. The deploy process is really simple with just one command. Grow your application dynamically allocating resources with ease. Let your developers code and understand the business instead of solving infrastructure problems or handling large configuration files. We built the platform as a service atop of... -
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Prom-Client
Prometheus client for node.js
Prom-Client is a Prometheus client for Node.js that allows developers to instrument their applications and expose metrics, facilitating the monitoring of application performance and resource usage. -
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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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Gatling
Modern Load Testing as Code
Gatling is a high-performance load testing tool built on the JVM that emphasizes realism, scalability, and developer ergonomics. Test scenarios are scripted in a concise Scala-based DSL, allowing you to model user journeys with think times, feeders (dynamic data), checks, and assertions all in code. Its asynchronous, non-blocking engine (backed by Netty) can drive very high concurrency from a single injector, reducing the need for large injector farms. Gatling supports HTTP out of the box as... -
19
Gorse Recommender System Engine
An open source recommender system service written in Go
...Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user. -
20
NHibernate
NHibernate Object Relational Mapper
...Fully supports inheritance, components, and enums. Generates database tables from your domain models. Supports all popular relational databases. Supports the most complex legacy scenarios. Full-Text Search. Cluster-scoped caching with Microsoft Velocity & Memcached. Business validation rules. ReSharper plugin. Castle Active Record. S#arp Architecture. NHibernate is a popular, fast-growing ORM with a helpful community of seasoned developers. Used in thousands of commercial and open source projects. -
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Argo Workflows
Workflow engine for Kubernetes
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using... -
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OTOMI
Self-hosted DevOps Platform for Kubernetes
Otomi is an open source self-hosted PaaS to run on top of any Kubernetes cluster and is placed in the CNCF landscape under the PaaS/Container Service section. A PaaS attempts to connect many of the technologies found in the CNCF landscape in a way to provide direct value. Deploy containerized apps with a few click without writing any K8s YAML manifests. Get access to logs and metrics of deployed apps. Store charts and images in a private registry. -
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testkube
Kubernetes-native testing framework for test execution
Welcome to Testkube - Your friendly cloud-native testing framework for Kubernetes. Testkube natively integrates test orchestration and execution into Kubernetes and your CI/CD/GitOps pipeline. It decouples test artifacts and execution from CI/CD tooling; tests are meant to be part of your cluster's state and can be executed as needed. Out-of-the-box integrations with all popular testing tools and CI/CD systems mean no custom scripts are required to orchestrate your tests from any... -
24
.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write... -
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Asynq
Simple, reliable, and efficient distributed task queue in Go
...A system can consist of multiple worker servers and brokers, giving way to high availability and horizontal scaling. Ability to pause queue to stop processing tasks from the queue. Periodic Tasks. Support Redis Cluster for automatic sharding and high availability. Support Redis Sentinels for high availability. Integration with Prometheus to collect and visualize queue metrics. Web UI to inspect and remote-control queues and tasks. CLI to inspect and remote-control queues and tasks.
