Search Results for "workload"
Sort By:
Showing 145 open source projects for "workload"
View related business solutions-
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.
-
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
1
MCP K8s Eye
MCP Server for kubernetes management and analyze workload status
A tool designed to manage Kubernetes clusters and analyze workload statuses, providing insights and operational capabilities to enhance cluster performance and reliability. -
2
Koordinator
A QoS-based scheduling system brings optimal layout and status to work
...Koordinator provides a range of options for customizing scheduling policies, allowing users to fine-tune the behavior of the system to suit their specific needs, such as Web Service, Spark, Presto, TensorFlow, Pytorch, etc. We provide a profile tool to help you manage workload scheduling policies, which allows to control scheduling policies without modifying the existing workload controller. -
3
Kepler
Kepler (Kubernetes-based Efficient Power Level Exporter)
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics. -
4
Nomad
Easy-to-use, flexible, and performant workload orchestrator
A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single binary that integrates into existing infrastructure. Easy to operate on-prem or in the cloud with minimal overhead. Orchestrate applications of any type, not just containers. First class support for Docker, Windows, Java, VMs, and more. -
Build Securely on Azure 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.
-
5
MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. ... -
6
gh-ost
GitHub's online schema migrations for MySQL
gh-ost is a triggerless online schema migration solution for MySQL. It is testable and provides pausability, dynamic control/reconfiguration, auditing, and many operational perks. gh-ost produces a light workload on the master throughout the migration, decoupled from the existing workload on the migrated table. It has been designed based on years of experience with existing solutions, and changes the paradigm of table migrations. All existing online-schema-change tools operate in similar manner: they create a ghost table in the likeness of your original table, migrate that table while empty, slowly and incrementally copy data from your original table to the ghost table, meanwhile propagating ongoing changes (any INSERT, DELETE, UPDATE applied to your table) to the ghost table. ... -
7
Goldilocks
Get your resource requests "Just Right"
...By using the Kubernetes vertical-pod-autoscaler in recommendation mode, we can see a suggestion for resource requests on each of our apps. This tool creates a VPA for each workload in a namespace and then queries them for information. Once your VPAs are in place, you'll see recommendations appear in the Goldilocks dashboard. -
8
Sablier
Start your containers on demand, shut them down automatically
Sablier is a free and open-source software that can scale your workloads on demand. Your workloads can be a docker container, a Kubernetes deployment, and more (see providers for the full list). Sablier is an API that starts containers for a given duration. It provides integrations with multiple reverse proxies and different loading strategies. Which allows you to start your containers on demand and shut them down automatically as soon as there’s no activity. -
9
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. ... -
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.
-
10
KEDA
KEDA is a Kubernetes-based Event Driven Autoscaling component
KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. KEDA is a single-purpose and lightweight component that can be added to any Kubernetes cluster. KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication. With KEDA you can explicitly map the apps you want to use event-driven... -
11
My Python Eggs
Python Examples
...The scripts cover a wide range of topics, including file management, networking, system monitoring, web scraping, and even simple games, making it a versatile learning resource. Many of the programs are designed to reduce manual workload by automating tasks such as renaming files, scanning directories, or checking system information. The repository also includes examples of more advanced concepts like multithreading, API interaction, and GUI development, providing a gradual learning curve for beginners. -
12
pg-boss
Queueing jobs in Postgres from Node.js like a boss
pg-boss is a job queue manager for Node.js applications that leverages PostgreSQL to handle job scheduling, processing, and persistence. -
13
Knative Serving
Kubernetes-based, scale-to-zero, request-driven compute
Knative Serving defines a set of objects as Kubernetes Custom Resource Definitions (CRDs). These resources are used to define and control how your serverless workload behaves on the cluster. The service.serving.knative.dev resource automatically manages the whole lifecycle of your workload. It controls the creation of other objects to ensure that your app has a route, a configuration, and a new revision for each update of the service. Service can be defined to always route traffic to the latest revision or to a pinned revision. ... -
14
GanttProject
Official GanttProject repository
GanttProject is a cross-platform desktop application for project scheduling and Gantt chart creation. It allows users to create tasks, assign resources, and track progress with ease. GanttProject is aimed at small teams and individuals who need offline project planning without the complexity or cost of enterprise tools. -
15
Google Auth Library
Google Auth Library for Node.js
...Use Application Default Credentials when you use a single identity for all users in your application. Especially useful for applications running on Google Cloud. Application Default Credentials also support workload identity federation to access Google Cloud resources from non-Google Cloud platforms. Use JWT when you are using a single identity for all users. Especially useful for server->server or server->API communication. Use workload identity federation to access Google Cloud resources from Amazon Web Services (AWS), Microsoft Azure or any identity provider that supports OpenID Connect (OIDC). ... -
16
tigerbeetle
The financial transactions database designed for mission critical safe
...TigerBeetle is a financial transactions database designed for mission-critical safety and performance to power the next 30 years of OLTP. TigerBeetle redesigns the distributed database storage engine and consensus protocol for the OLTP workload. This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The language of business transactions around the world is Debit/Credit. TigerBeetle ships with this schema out of the box. A single TigerBeetle cluster can process over 100 billion transactions, at a hundredth of the cost compared to legacy, proprietary, or cloud databases. -
17
Piscina
A fast, efficient Node.js Worker Thread Pool implementation
Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance. -
18
Kuma
The multi-zone service mesh for containers, Kubernetes and VMs
Kuma is a modern Envoy-based service mesh that can run on every cloud, in a single or multi-zone capacity, across both Kubernetes and VMs. Thanks to its broad universal workload support, combined with native support for Envoy as its data plane proxy technology (but with no Envoy expertise required), Kuma provides modern L4-L7 service connectivity, discovery, security, observability, routing, and more across any service on any platform, databases included. Easy to use, with built-in service mesh policies for security, traffic control, discovery, observability, and more, Kuma ships with advanced multi-zone and multi-mesh support that automatically enables cross-zone communication across different clusters and clouds, and automatically propagates service mesh policies across the infrastructure. ... -
19
AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
...If not handled, your application code may not stop gracefully, take longer to recover full availability, or accidentally schedule work to nodes that are going down. Secure and resizable compute capacity for virtually any workload. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking. -
20
Flower
Flower: A Friendly Federated Learning Framework
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. -
21
Sonobuoy
Sonobuoy is a diagnostic tool to understand Kubernetes cluster
Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of plugins (including Kubernetes conformance tests) in an accessible and non-destructive manner. It is a customizable, extendable, and cluster-agnostic way to generate clear, informative reports about your cluster. -
22
K9s
Kubernetes CLI To Manage Your Clusters In Style!
...Define your own command shortcuts for quick navigation via command aliases and hotkeys. Plugin support to extend K9s to create your very own cluster commands. Powerful filtering mode to allow user to drill down and view workload related resources. Supports for viewing RBAC rules such as cluster/roles and their associated bindings. Reverse lookup to asserts what a user/group or ServiceAccount can do on your clusters. You can benchmark your HTTP services/pods directly from K9s to see how your application fare and adjust your resources request/limit accordingly. -
23
Redpanda Console
Redpanda Console is a developer-friendly UI for managing your workload
Redpanda Console (previously known as Kowl) is a web application that helps you manage and debug your Kafka/Redpanda workloads effortlessly. Explore your topics' messages in our message viewer through ad-hoc queries and dynamic filters. Find any message you want using JavaScript functions to filter messages. Supported encodings are JSON, Avro, Protobuf, XML, MessagePack, Text and Binary (hex view). The used encoding (except Protobuf) is recognized automatically. Redpanda is a... -
24
Discord.Net
An unofficial .Net wrapper for the Discord API
Discord.Net is an asynchronous, multi-platform .NET Library used to interface with the Discord API. Nightlies are builds of Discord.NET that are still in an experimental phase, and have not been released. These are not included in the main repository and are instead taken over by Discord.NET Labs. Discord.NET Labs is an experimental fork of Discord.NET that implements the newest discord features for testing and development to eventually get merged into Discord.NET. A counterpart to the... -
25
Loki Mode
Multi-agent autonomous startup system for Claude Code
Loki Mode is a multi-agent autonomous execution system designed to take structured product requirements or specifications and autonomously drive the creation, testing, deployment, and scaling of complex software projects using a large team of specialized AI agents. It orchestrates dozens of agent types across swarms that handle designated roles — such as architecture, coding, QA, deployment, and business workflows — running in parallel to cover both engineering and operational tasks without...
