Search Results for "workload"
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Showing 46 open source projects for "workload"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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1
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. -
2
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. -
3
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. ... -
4
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. -
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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5
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. -
6
Windows Developer Config
Automate the setup and configuration of your Windows environment
...It provides declarative, CI-tested configurations that can turn a fresh Windows 11 installation into a ready-to-use developer workstation. The project supports a full Windows Dev Config path, a WSL Comfort path, and smaller single-language workload setups. The full setup installs development tools, applies opinionated Windows settings, configures terminal defaults, and bootstraps WSL with Ubuntu. WSL Comfort focuses on a polished Windows and Linux shell experience with optional shells, prompts, modern CLI tools, Git defaults, clipboard helpers, and themed terminal profiles. ... -
7
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... -
8
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. ... -
9
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. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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10
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. -
11
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. ... -
12
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. -
13
Beta9
Run serverless GPU workloads with fast cold starts on bare-metal
beta9 is a platform that enables running serverless GPU workloads with fast cold starts on bare-metal servers globally. It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively. -
14
kin-openapi
OpenAPI 3.0 (and Swagger v2) implementation for Go
...Generate Go client and server boilerplate from OpenAPI 3 specifications. Use HTTP/2 Server Push to create fast and idiomatic client-driven REST APIs. Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations. -
15
Pixeval
Wow. Yet another Pixiv client!
Pixeval is a third-party proxy-free P station client developed by me as an amateur. The UI is implemented using Windows Presentation Foundation , based on .NET Core 3.0 , and supports Windows 7-10 (planning to cancel support other than Win10), and implements most of the The browsing function and many enhancements have been made. It has been open sourced on Github based on the AGPL protocol . The project was conceived in 2018. At that time, the api of the P station was written in Java. At... -
16
React Native Reanimated
React Native's Animated library reimplemented
...Reanimated is widely used when standard React Native animation tools are not flexible or fast enough for complex UI behavior. Its main value is giving developers detailed control over motion while keeping animations responsive even under heavy JavaScript workload. -
17
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... -
18
Kata Containers
Build a standard implementation of lightweight Virtual Machines (VMs)
...Kata Containers is an open source community working to build a secure container runtime with lightweight virtual machines that feel and perform like containers, but provide stronger workload isolation using hardware virtualization technology as a second layer of defense. Since launching in December 2017, the community successfully merged the best parts of Intel Clear Containers with Hyper.sh RunV and scaled to include support for major architectures including AMD64, ARM, IBM p-series, and IBM z-series in addition to x86_64. ... -
19
LXD
Powerful system container and virtual machine manager
LXD is a next-generation system container and virtual machine manager. It offers a unified user experience around full Linux systems running inside containers or virtual machines. LXD is image based and provides images for a wide number of Linux distributions. It provides flexibility and scalability for various use cases, with support for different storage backends and network types and the option to install on hardware ranging from an individual laptop or cloud instance to a full server... -
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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. -
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OptScale
FinOps and MLOps platform to run ML/AI and regular cloud workloads
Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. -
22
compress
Optimized Go Compression Packages
...Optimized deflate packages which can be used as a dropin replacement for gzip, zip and zlib. snappy is a drop-in replacement for github.com/golang/snappy offering better compression and concurrent streams. huff0 and FSE implementations for raw entropy encoding. gzhttp Provides client and server wrappers for handling gzipped requests efficiently. pgzip is a separate package that provides a very fast parallel gzip implementation. Stream decompression is now faster on asynchronous since the goroutine allocation much more effectively splits the workload. On typical streams, this will typically use 2 cores fully for decompression. When a stream has finished decoding no goroutines will be left over, so decoders can now safely be pooled and still be garbage collected. -
23
amis
Front-end low-code framework to generate various pages through JSON
amis is a low-code front-end framework that uses JSON configuration to generate pages, which can reduce the workload of page development and greatly improve efficiency. After a decade of development, front-end development is becoming increasingly complex, the threshold is getting higher and higher, to use the current popular UI component library, you must know npm, , webpack, react/vueyou must be familiar with ES6the syntax, but also to understand the best state management, for example Redux, if no contact with functional programming, light entry is very strenuous, but after entry it will find there is a huge eco- related library has 2347 Ge, many features similar to the selection of high costs. ... -
24
Trivy Operator
Kubernetes-native security toolkit
...This way, users can find and view the risks that relate to different resources in a Kubernetes-native way. The Trivy Operator automatically generates and updates security reports. These reports are generated in response to new workload and other changes on a Kubernetes cluster. -
25
Kueue
Kubernetes-native Job Queueing
Kueue is a set of APIs and controllers for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with...
