Alternatives to OpenFaaS

The Industry Standard Universal Binary Repository Management Manager. All major package types supported (over 27 and growing), including Maven, npm. Python, NuGet. Gradle. Go and Helm, Kubernetes, Docker, as well as integration to leading CI servers or DevOps tools you already use. Additional functionalities include: - High availability that scales to infinity through active/active clustering in your DevOps environment. This scales as your business grows - On-Prem or Cloud, Hybrid, Multi-Cloud Solution - De Facto Kubernetes Registry for managing application packages, operating systems component dependencies, open sources libraries, Docker containers and Helm charts. Full visibility of all dependencies. Compatible with a growing number of Kubernetes cluster provider.

Qorus Integration Engine® is the only transaction-sure automation platform for enterprises to simply connect their in-house, cloud and operational technology. Combining easy configuration of business processes with fault tolerant orchestration and error recovery, Qore helps enterprises meet the challenge of rapidly bringing new services to market in a time of increasing innovation and industry change. Qore is trusted by world leading companies to help them reimagine their business processes and innovate faster. Qorus includes AI automation, fault tolerant workflows, native Python - Java language integration, and a data provider API that automatically introspects and interfaces with any system independently of the underlying API or integration technology. Qorus is available as both a paid enterprise edition and a FREE, fully functional community edition.

Red Hat Openshift Cloud Functions is a FaaS – Function as a service that can be deployed to Openshift. It is based on Knative, a FaaS project within the Kubernetes community. It will allow developers to run code without having to know any details about the underlying platform.

Run code as a scalable function in a fault-tolerant and secure environment, without having to create or maintain VMs. The service creates more instances of your function as the number of function call increases. All functions are run in parallel. The runtime environment is hosted on three availability zones to ensure availability even if a zone fails. Configure and prepare functions to be ready for processing loads at all times. This mode allows you avoid cold starts and to quickly process loads of all sizes. Give functions access to VPCs to accelerate interactions with private resources such as database clusters, virtual machine, Kubernetes Nodes, etc. Serverless Functions logs and tracks information about function calls, and analyzes the execution flow and performance. You can also describe the logging mechanisms within your function code. Launch cloud functions synchronized or delayed.

The cloud-native DBOS OS provides a simpler and more secure way to create fault-tolerant cloud apps. DBOS is the result of 3 years of open source R&D by MIT and Stanford. It revolutionizes cloud native architecture. DBOS is a cloud native OS that uses a relational database as the foundation to simplify today's complex cloud applications stacks. DBOS is the engine behind DBOS Cloud. This serverless platform provides fault tolerance, observability and cyber-resilience to stateful TypeScript apps. OS services are implemented over a distributed DBMS. Stack is simplified by the built-in fault-tolerant, transactional state management. No need for cluster management, workflow orchestration, or containers. Scaling, performance and availability are all achieved with ease. Metrics and logs are stored in SQL tables. Cyber-resilience, self-detection of cyber attacks, and a smaller cyber attack surface.

You can add logs, metrics, and traces to production or staging directly from your IDE/CLI, in real time and on-demand. Lightrun can help you increase productivity and ensure 100% code-level observability. Lightrun allows you to insert logs and metrics even when the service is in progress. You can debug monolith microservices like Kubernetes and Docker Swarm, ECS and Big Data workers, as well as serverless. Quickly add a logline, instrument a measurement, or place a snapshot that can be taken on-demand. There is no need to recreate the production environment or redeploy. Once instrumentation has been invoked, data is printed to your log analysis tool, your editor, or an APM of choice. To analyze code behavior and find bottlenecks or errors, you can stop the running process. You can easily add large numbers of logs and snapshots, counters or timers to your program. The system won't be stopped or broken. Spend less time debugging, and more time programming. Debugging is done without the need to restart, redeploying, or reproduce.

TKE is compatible with all Kubernetes capabilities. It has been adapted to Tencent Cloud’s fundamental IaaS capabilities, such as CVM or CBS. Tencent Cloud's Kubernetes cloud products, such as CBS or CLB, allow for one-click deployment to container clouds for a variety open-source applications. This greatly improves deployment efficiency. TKE makes it easy to manage large-scale clusters, as well as the management and OPS distributed applications. You don't need to use cluster management software. Launch TKE, specify the tasks that you wish to run, and TKE will handle all the cluster management tasks. This allows you to concentrate on developing Dockerized apps.

GlassFlow is an event-driven, serverless data pipeline platform for Python developers. It allows users to build real time data pipelines, without the need for complex infrastructure such as Kafka or Flink. GlassFlow is a platform that allows developers to define data transformations by writing Python functions. GlassFlow manages all the infrastructure, including auto-scaling and low latency. Through its Python SDK, the platform can be integrated with a variety of data sources and destinations including Google Pub/Sub and AWS Kinesis. GlassFlow offers a low-code interface that allows users to quickly create and deploy pipelines. It also has features like serverless function executions, real-time connections to APIs, alerting and reprocessing abilities, etc. The platform is designed for Python developers to make it easier to create and manage event-driven data pipes.

Deep learning frameworks like TensorFlow and PyTorch, Torch and Torch, Theano and MXNet have helped to increase the popularity of deep-learning by reducing the time and skills required to design, train and use deep learning models. Fabric for Deep Learning (pronounced "fiddle") is a consistent way of running these deep-learning frameworks on Kubernetes. FfDL uses microservices architecture to reduce the coupling between components. It isolates component failures and keeps each component as simple and stateless as possible. Each component can be developed, tested and deployed independently. FfDL leverages the power of Kubernetes to provide a resilient, scalable and fault-tolerant deep learning framework. The platform employs a distribution and orchestration layer to allow for learning from large amounts of data in a reasonable time across multiple compute nodes.

Azure Spring Apps allows Spring developers to focus on their code and not infrastructure. Deploy any Spring app, including web apps, microservices and event-driven applications, without the need for Kubernetes. Utilize your existing investments to take advantage of the Azure ecosystem. Azure monitor provides deep insights into application dependencies, operational telemetry and application dependencies. View aggregate metrics to get a topological overview of how services interact, and average performance and error rate. Identify the root cause for reliability issues and performance bottlenecks. Focus on what's important--your apps and business logic--and delivering value to users. Deploy Spring or Polyglot applications, from source code or artifacts. Container creation and maintenance are supported.

Cloud native infrastructure provisioning and management doesn't need to be difficult. It can be as easy as point-and click. Mirantis Container Cloud gives developers and administrators the ability to deploy Kubernetes or OpenStack environments from one pane of glass. This includes hosted bare metal, on-prem, and public clouds. No more scheduling and updating. Access new features faster, with zero downtime for workloads and clusters. Your developers will be able to create, monitor, and manage Kubernetes Clusters with ease, using custom guardrails. Mirantis Container Cloud provides a single platform to manage all aspects of your hybrid infrastructure estate. Mirantis Container Cloud deploys and manages Mirantis Kubernetes Engine container deployments as well as Mirantis OpenStack virtualization environments.

The Stackable platform was built with flexibility and openness in mind. It offers a curated collection of open source data apps such as Apache Kafka Apache Druid Trino and Apache Spark. Stackable is different from other offerings that either push proprietary solutions or further vendor lock-in. All data apps are seamlessly integrated and can be added to or removed at any time. It runs anywhere, on-prem and in the cloud, based on Kubernetes. You only need stackablectl, a Kubernetes Cluster and stackablectl to run your stackable data platform. You will be able to work with your data within minutes. Configure your one line startup command here. Similar to kubectl stackablectl was designed to interface easily with the Stackable data Platform. Use the command-line utility to deploy and maintain stackable data apps in Kubernetes. You can create, delete and update components with stackablectl.

Kubernetes' IoT microservices architecture allows you to scale infinitely and scale only what you need, all while maintaining extreme performance and fault tolerance. Stream data from IoT devices to any data analysis system via a pre-integrated Kafka channel. Based on processing results, you can modify device behavior. The platform is based on over 25 years of experience in IoT and Telecom. We combined all of our knowledge to create the best IoT Platform for both large enterprises and small startups. All data is encrypted at rest and in transit. Out-of-box authentication and authorization for users with open OAuth2/ UMA interface. Connect and manage IoT devices using the cloud via graphical UI/REST API. You can collect and visualize telemetry with a built-in dashboard, or third-party tools such as Grafana.

It supports both cloud and on-premises deployments and enables device connectivity using industry-standard IoT protocols, including MQTT and CoAP. ThingsBoard is a combination of scalability and fault-tolerance, performance, and ensures that you never lose your data. Rich server-side APIs allow you to provision, monitor and control IoT entities securely. You can define relationships between your devices, customers, assets, and any other entities. Telemetry data can be stored in a scalable and fault-tolerant manner. You can visualize your data using built-in widgets or custom dashboards. Share dashboards with customers. Define data processing rule chains. Normalize and transform your device data. Alarms can be raised for incoming telemetry events and attribute updates, as well as device inactivity, user actions, and device inactivity. You can build your ThingsBoard cluster to get maximum scalability with microservices architecture. ThingsBoard supports both cloud and on premises deployments.

KubeGrid can automatically deploy, monitor, optimize, and optimize thousands of Kubernetes clusters. KubeGrid automates Kubernetes lifecycle management in both cloud and on-prem environments. This allows developers to deploy, manage and update large clusters quickly and easily. KubeGrid can be described as a Platform as Code. This means that you can define all of your Kubernetes requirements as coding, from your cloud infrastructure to cluster specs and autoscaling policies. KubeGrid will then deploy and manage everything. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid does more than that. It allows developers to automate Day 2 operations such as monitoring infrastructure and failing over unhealthy nodes. Kubernetes makes it easy to provision pods in an automated manner.

The Open, Multi-Cloud Stack to Modern Data Apps. Built on Apache Cassandra™, an open-source Apache Cassandra™. Global scale and 100% uptime without vendor lock in You can deploy on multi-clouds, open-source, on-prem and Kubernetes. For a lower TCO, use elastic and pay-as you-go. Stargate APIs allow you to build faster with NoSQL, reactive, JSON and REST. Avoid the complexity of multiple OSS projects or APIs that don’t scale. It is ideal for commerce, mobile and AI/ML. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Richly interactive apps that are viral-ready and elastic using REST, GraphQL and JSON. Pay-as you-go Apache Cassandra DBaaS which scales easily and affordably

IBM Cloud®, Code Engine is a fully managed, cloud-based platform. IBM Cloud Code Engine will manage and secure your underlying infrastructure. You don't have to manage container clusters. You don't even need to have any networking skills. IBM Cloud Code Engine will manage, deploy, and autoscale it. There are no cluster administration, over-provisioning, or sizing worries. Only pay for what you use. You can create great apps in any language you choose, and then deploy them on a serverless platform in seconds. There is no infrastructure management. All aspects of cluster sizing, scaling, and networking are covered. Your apps are automatically protected with TLS and isolated form other workloads. Securely deploy web apps, containers, batch job, and functions.

harpoon allows you to deploy any software within seconds using a simple drag-and-drop method. No code is required to deploy production software using our visual Kubernetes tool. Harpoon offers all the features needed to deploy and configure your software using Kubernetes, the industry's leading container orchestrator. All without writing any code. You can easily deploy and configure Kubernetes and autoscale software in the cloud without writing any code. Search and find any commercial or open-source piece of software anywhere on the planet, and deploy it in the cloud instantly with just one click. Harpoon will run scripts to secure your cloud account before running any applications or service. Connect harpoon anywhere to your source code repository and set up an automated deployment pipeline.

Azure Kubernetes Services (AKS), a fully managed service that manages containerized applications, makes it easy to deploy and manage them. It provides serverless Kubernetes and integrated continuous integration/continuous delivery (CI/CD), as well as enterprise-grade security, governance, and governance. You can quickly build, deliver, scale and scale applications using confidence by bringing together your operations and development teams. You can easily provision additional capacity by using elastic provisioning without having to manage the infrastructure. KEDA allows for event-driven autoscaling. Azure Dev Spaces allows for faster end-to-end development, including integration with Visual Studio Code Kubernetes tools and Azure DevOps. Azure Policy allows for advanced identity and access management, as well as dynamic rules enforcement across multiple clusters. More regions are available than any other cloud provider.

YAML allows you to declare AWS Lambda functions as well as their triggers using simple abstract syntax. AWS Lambda functions and triggers, as well as code, will be automatically deployed and wired together in cloud. Install thousands of Serverless Framework plugins to create new serverless use cases on AWS. You can track usage, performance, and errors of your serverless applications with powerful, instant metrics. All serverless apps and their resources can be viewed in one place, regardless if they are located in the same region or AWS account. You can easily share secrets and outputs from serverless applications, and delegate AWS account accessibility. The Serverless Framework allows you to deploy many of your most familiar use-cases immediately. You can use the Serverless Framework to create REST APIs in Node.js and Python. Go, Java or GraphQL APIs. Scheduled tasks, Express.js apps, and front-end software are all possible.

Oracle Cloud Infrastructure Container Registry, an open-standards-based, Oracle-managed Docker registry service that securely stores and shares container images, is managed by Oracle. Engineers can easily push or pull Docker images using the familiar Docker Command Line Interface, (CLI), and API. Registry is able to support container lifecycles by working with Container Engine for Kubernetes Identity and Access Management (IAM), Visual Builder Studio and third-party developers and DevOps tools. Docker images and containers repositories can be managed using the familiar Docker CLI commands, and Docker HTTP API Version 2. Oracle manages the service's operation and patching so developers can concentrate on building and deploying containerized apps. Container Registry, which is built using object storage, provides high data durability and high service availability. It also supports automatic replication across fault domains. Oracle does not charge extra for this service. Users only pay for the storage and network resources they use.

Fantom fWallet is a Progressive Web App (PWA), which is easy to launch across all platforms. Fantom is a consensus-as-a-service (CaaS) platform for the next generation of distributed ledgers. Fantom's consensus mechanism is asynchronous, byzantine fault-tolerant (aBFT), by design. It can operate in adverse and loosely connected environments. Lachesis, the consensus algorithm, is compatible both with Cosmos SDK (the EVM), allowing builders to easily deploy their own blockchain platforms and applications. Opera FTM can be sent, received and staked.

Kubermatic Kubernetes Platform helps enterprises drive digital transformation through the automation of their cloud operations from anywhere. KKP allows operations and DevOps teams centrally manage VMs, containerized workloads across hybrid cloud, multi-cloud and edge environments. It also provides an intuitive self-service portal for developers and operations. Open source Kubermatic Kubernetes Platform. Automate the operations of thousands Kubernetes clusters in multi-cloud, edge, and on-prem environments. This will provide unmatched resilience and density. Your multicloud self-service Kubernetes platform can be set up and operated in the shortest time to market. Your developers and operations team can deploy clusters on any infrastructure in under three minutes. You can centrally manage all your workloads using a single dashboard that provides a consistent experience from the cloud to the edge. Enterprise-level governance allows you to manage your cloud native stack at scale.

Knative was created by Google with contributions of over 50 companies. It provides the essential components for building and running serverless applications on Kubernetes. Knative provides features such as scale-to-zero and autoscaling. It also offers in-cluster builds and an eventing framework for Kubernetes-native applications. Knative identifies the best practices of Kubernetes-based frameworks that have been successful, whether they are on-premises or in the cloud. Knative allows developers to concentrate on writing code and not worry about the "boring, but difficult" aspects of building, deploying, managing, or maintaining their application.

Mirantis Kubernetes Engine (formerly Docker Enterprise) gives you the power to build, run, and scale cloud native applications—the way that works for you. Increase developer efficiency and release frequency while reducing cost. Deploy Kubernetes and Swarm clusters out of the box and manage them via API, CLI, or web interface. Kubernetes, Swarm, or both Different apps—and different teams—have different container orchestration needs. Use Kubernetes, Swarm, or both depending on your specific requirements. Simplified cluster management Get up and running right out of the box—then manage clusters easily and apply updates with zero downtime using a simple web UI, CLI, or API. Integrated role-based access control (RBAC) Fine-grained security access control across your platform ensures effective separation of duties, and helps drive a security strategy built on the principle of least privilege. Identity management Easily integrate with your existing identity management solution and enable two-factor authentication to provide peace of mind that only authorized users are accessing your platform. Mirantis Kubernetes Engine works with Mirantis Container Runtime and Mirantis Secure Registry to provide security compliance.

Defense Unicorns delivers continuous delivery of national security systems across cloud, on-prem and edge environments, in land, air, sea and space domains. UDS eliminates the inefficiencies and complexity of government secure technology stacks. UDS integrates mission capabilities with an open-source 800-53 compliant platform (70 percent NIST compliant), and Infrastructure as Code for your target environment. This creates a secure declarative software bundle that can be deployed repeatedly to all of your environments, without vendor lock-in. The Defense Unicorns Platform is open source and accessible. It avoids vendor lock-in and provides data independence. Defense Unicorns accelerates ATO timelines using a declarative cybersecurity platform that can be deployed on-prem or in any cloud environment. Defense Unicorns is a leader in platform technologies, which enable rapid and reliable delivery across a range of mission and technological areas.

Fully Managed Shared Load Balancing or Dedicated Load Balancing will make your website capable of handling viral campaigns, media events, and social networking trends. Load balancers increase website performance by efficiently distributing traffic to multiple servers. They are essential to a reliable, fault-tolerant infrastructure. Our engineers and system administrators manage both Dedicated and Shared Load Balancings. Our load balancers make your site work under any demand, from planning to implementation, administration, monitoring, and more. This allows you to focus on the content of the site, not how it's hosted. Load balancing is both failover and the easiest way to scale out a website or web app. Customers who visit your website are first connected to either Shared Load Balancing or Dedicated Load Balancing. Each customer is directed to one of your web servers by the load balancers.

B2C Soft LLC is proud of presenting a unique software product that can computerize the performance of a travel agency, tour operator, or company online using browser interfaces. It also provides travel managers with a wide range of benefits and improvements in the tourist CRM program's functional part - B2C Tour 1.04 version, which is available in English, Russian and other widely used languages. B2C Tour is first and foremost a fault-tolerant, extensible Web-based software product with open code. It has a dynamic and robust engine to provide comprehensive online solutions for agencies and travel companies through strong sales platform formation and maintenance.

Low code SmartScreens speed up time-to-market. It's easier than ever to create targeted MSAs (Micro Server Apps), that address specific process automation issues while seamlessly integrating with existing data or applications. MSA's can be run anywhere and everywhere, without the need to write unique code for each device type. RapidBIZ provides all these capabilities in a single integrated development environment and management environment. It deploys and runs on Kubernetes, Docker containers and OpenShift. RapidBIZ productivity is built on reuse. RapidBIZ gives developers easy access to pre-built components and features, as well as legacy code and data (including IBM i) for creating and developing cloud-based apps. You can reduce the time-consuming and tedious development and management tasks by simply clicking, including point-and-click wizards that generate code to perform more complex functions.

Censorship-resistant, permission-less, and self-sovereign, Akash DeCloud is a faster, more efficient, and lower cost cloud built for DeFi, decentralized projects, and high growth companies, providing unprecedented scale, flexibility, and price performance. Our serverless computing platform can be used with all cloud providers and all cloud-based applications. It is up to 10x cheaper. Simplified code deployment and dynamically managed resource allocation. Federated control plane, multi-cloud, multichain, and multitoken. Fault tolerance, scaling, management of workloads. Cloud Service Providers and other organizations with spare capacity provide physical servers. Open and globally consistent shared state machine that guarantees sovereignty and runtime with high-performance RPC layers with multi-language libraries, bi-directional streaming and high-performance RPC.

Docker images are stored in fault-tolerant storage. All data is replicated automatically. Each replica changes when Docker Images are edited, deleted, or created. The service offers containers for Linux and Windows OS. You can run them on your local machine, or on a Yandex Compute Cloud virtual machine. Docker image registry is hosted in the same data center as your cloud infrastructure. This allows for high-speed Docker operations without external traffic costs. Docker images are transmitted over HTTPS. You decide who can view, download, push or delete them. You use a Docker Image and we maintain the infrastructure where your registry runs. You only pay for space used by your Docker image. The service is available via the management interface, command line interface, API, or standard Docker CLI. It is compatible with the Docker Registry HTTP API V2.

A service to manage OpenSearch clusters within Yandex Cloud Infrastructure. Use this popular open-source solution to integrate fast and scalable search into your product. In just a few moments, you can deploy a cluster that is ready to use with product settings optimized for the cluster size. We will take care of all cluster maintenance, including reserves, monitoring and fault tolerance. Use our visualization tools for analytical dashboards, application monitors, and alert systems. Connect third-party authentication services (SAML). The service allows for granular configurations of data access levels. Open source code allows for us to develop with the community and be the first to release timely updates. OpenSearch is a system of open-source search and analytic tools that can be easily scaled. It provides a set technologies for fast search and analytics.

The world's most powerful and advanced hybrid Docker/Helm registry. Your Docker world will be powered without limitations. The JFrog Container Registry supports Docker containers and Helm Chart repositories to support your Kubernetes deployments. It is your single point of access to manage and organize Docker images. JFrog integrates with your build ecosystem to provide reliable, consistent, and efficient access for remote Docker container registryies. You can develop and deploy your own way. Your current and future business models are supported with self-hosted, hybrid, multi-cloud, on-prem, self-hosted, hybrid, as well as multi-cloud environments. You can choose from AWS, Microsoft Azure, or Google Cloud. JFrog Artifactory's track record of reliability, power, and stability allows you to deploy Docker images easily and give your DevOps teams full control over access rights and permissions.

Subscribe to Elasticsearch and get access to new features, security patches, or other improvements. In just a few moments, you can deploy a cluster that is ready to use. Elasticsearch and Kibana settings are optimized to fit the cluster size that you have selected. We'll handle cluster maintenance, software updates, monitoring, backups, fault tolerance and updates. Index sharding reduces load on each host, and makes it easier to scale a cluster during peak loads. Visualizing system behavior makes it easier to build an infrastructure. Create trends, forecasts, and evaluate stability of the system in an easy-to-use interface. Select the number of hosts, and specify availability zones to create fault-tolerant geodistributed Elasticsearch clusters. Create an Elasticsearch cluster by selecting the computing capacity you need.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

Functions is an event-driven, serverless computing platform that allows you to develop more efficiently. It can also solve complex orchestration issues. You can build and debug locally, deploy and operate at scale in a cloud environment, and integrate services with triggers and bindings.

It is a simple and flexible task orchestrator that deploys and manages containers and non-containerized apps across on-prem as well as cloud environments. One 35MB binary that can be integrated into existing infrastructure. It is easy to use on-prem and in the cloud with minimal overhead. You can orchestrate any type of application, not just containers. First-class support for Docker and Windows, Java, VMs, VMs, and other technologies. Orchestration benefits can be added to existing services. Zero downtime deployments, increased resilience, higher resource utilization, as well as greater resilience can all be achieved without containerization. Multi-region, multicloud federation - single command Nomad is a single control plane that allows you to deploy applications worldwide to any region. One workflow to deploy to cloud or bare metal environments. Multi-cloud applications can be enabled with ease. Nomad seamlessly integrates with Terraform Consul and Vault for provisioning and service networking. Secrets management is also possible.

A flexible, stateless, and simple API Gateway framework that can be used in both cloud-native or on-prem environments. Backend services are often not coded for REST API content, especially in microservices. This is a good practice. However, UI consumers must implement implementations that are complex and burdensome due to the large size of their microservices response. Lura is an API Gateway generator and proxy generator. It sits between the client's and all the source servers and adds a layer that removes all complexity and provides only the information the UI requires. Lura is a aggregator of multiple sources into a single endpoint and allows you to group and transform, transform, shrink and transform responses. It also supports many middlewares and plugins that can be used to extend the functionality of Lura, such as Oauth authorizations or security layers.

Chaos Engineering provides everything you need to quickly and easily build reliable software. Gremlin offers a comprehensive list of failure modes that you can use to test your system. This includes bare metal, cloud providers, containerized environments and kubernetes. Throttle CPU, Memory and I/O. Reboot hosts, kill processes, travel in the time. Introduce latency, blackhole traffic and lose packets to fail DNS. Your code should fail. Failing to perform serverless functions may cause delays. Limit the impact to one user, device, or percentage.

OpenCost is an open-source project that measures and allocates cloud infrastructure and container costs real-time. OpenCost, built by Kubernetes specialists and supported by Kubernetes professionals, shines light on the black box that is Kubernetes expenditure. Flexible, customizable cost allocating and cloud resource monitoring to ensure accurate showback, charging back, and ongoing reporting. Real-time cost breakdown by Kubernetes concepts down to the container level. Allocation of cluster resources such as CPU, GPU memory, load balancers and persistent volumes. Dynamic asset pricing through integrations with AWS Azure and GCP billing APIs, as well as support of on-prem Kubernetes Clusters using custom pricing. Costs outside of the Kubernetes Cluster, from cloud providers, such as object storage, databases and other managed services. Integrations with open source tools, such as easy exporting of pricing data to Prometheus.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Apache OpenWhisk, an open-source distributed Serverless platform, executes functions (fx), in response to events at all scales. OpenWhisk handles the infrastructure, servers, and scaling via Docker containers. This allows you to focus on creating amazing and efficient apps. OpenWhisk supports a programming model that allows developers to write functional logic (called actions), in any supported programming languages. These actions can be dynamically scheduled and run in response (via Triggers), from external sources (Feeds), or from HTTP requests. The project also includes a REST API-based Command Line Interface, (CLI), and other tools to support packaging, catalog service, and many popular container deployment options. Apache OpenWhisk uses containers to build its components. This makes it easy to support many deployment options locally and within Cloud infrastructures. Many of the most popular Container frameworks are available.

We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.

The SaaS Startup Kit is an open-source project offering a collection of Go (Golang) libraries and boilerplate code to facilitate the development of scalable software-as-a-service applications. It includes a responsive web app with user authentication including sign-up, login, and create, read update and delete (CRUD). The kit includes an RESTful API, JSON Web Token authentication (JWT), and Swagger-generated documentation. It integrates Bootstrap for user interface design. This allows the creation of responsive and mobile-first projects. The deployment is streamlined by using serverless infrastructure in Amazon Web Services (AWS) with continuous integration and delivery pipelines configured through GitLab CI/CD. The SaaS Startup Kit reduces repetitive tasks by offering pre-built components, integrations and allowing developers to concentrate on unique business logic.

Elixir is an expressive, dynamic language that allows you to create scalable and maintainable applications. Elixir uses the ErlangVM, which is known for its low latency, distributed, fault-tolerant, and fault-tolerant system. Elixir has been successfully used in web development and embedded software. It also supports data ingestion and multimedia processing across many industries. To get started with Elixir, check out our getting started guide or our learning page. All Elixir code runs within lightweight threads of execution, also known as processes. These processes are isolated and exchange information through messages. Because they are lightweight, it is possible to have hundreds of thousands or more processes running simultaneously on the same machine. Isolation allows for processes to be separated, reducing system-wide pauses and making use of all machine resources as efficiently possible (vertical scaling). The process can also communicate with other processes on the same network.

Here is where the future of AI development begins. Modular is a composable, integrated suite of tools which simplifies your AI infrastructure, allowing your team to develop, deploy and innovate faster. Modular's inference engines unify AI industry frameworks with hardware. This allows you to deploy into any cloud or on-prem environments with minimal code changes, unlocking unmatched portability, performance and usability. Move your workloads seamlessly to the best hardware without rewriting your models or recompiling them. Avoid lock-in, and take advantage of cloud performance and price improvements without migration costs.

SiteWhere infrastructure and Microservices can be deployed on Kubernetes on-premises or on almost any cloud provider. Infrastructure is provided by Apache Kafka, Zookeeper and Hashicorp Consul configured in highly-available configurations. Each microservice scales independently, and integrates itself automatically. Complete multitenant IoT eco-system including device management, big data event storing, REST APIs and data integration. Distributed architecture with Java microservices on Docker infrastructure and Apache Kafka processing pipeline. SiteWhere CE is open source and will always be free for both private and commercial use. The SiteWhere team provides free basic support as well as a constant stream of new features.

Private cloud virtualization is essential for your infrastructure, regardless of whether your workloads are limited to on-prem data centres or you have to contend with out-of-control costs in public cloud. Mirantis OpenStack with Kubernetes offers you the power and reliability of public cloud, as well as the flexibility and resilience of OpenStack. This puts you back in control over your cloud. OpenStack is the leading open source private cloud infrastructure-as-a-service (IaaS) framework, providing a feature-rich, mature environment for hosting virtual machines, networks, and storage. Mirantis OpenStack is a cloud native virtualization platform that brings virtualized infrastructure to the cloud. It's built on Kubernetes to provide maximum flexibility and resilience.

MCP offers full-stack enterprise support Kubernetes/OpenStack for Kubernetes, and helps companies create hybrid environments that support traditional and distributed microservices-based apps in production at scale. MCP is offered through a flexible build-operate-transfer delivery model, providing fully managed services with the option to transfer ops to your own team. Kubernetes key components such as Calico SDN and Ceph persistent storage are pre-integrated to allow for quick deployment on premises using bare metal or OpenStack. MCP features DriveTrain GitOps-based lifecycle management using principles infrastructure as code to provide flexible cloud infrastructure that can be easily updated and upgraded. The Model Designer UI simplifies cloud configuration. DriveTrain verification pipelines are integrated with StackLight logging and monitoring to maximize availability of updates. This ensures that production functionality is maintained.

JHipster allows you to quickly create, develop, and deploy modern web apps and microservice architectures. We support many frontend technologies including Vue, React, and Angular. We also support React Native and Ionic mobile apps! We support Spring Boot (with Java, Kotlin, Quarkus and Node.js) on the backend. NET. We embrace cloud-native principles such as Docker and Kubernetes for deployment. There is deployment support for AWS, Azure and Cloud Foundry, Google Cloud Platforms, Heroku, OpenShift, and Google Cloud Platforms. Our goal is to create a modern and complete web app or microservice architecture. A robust and high-performance server-side stack that is highly testable. A modern, mobile-first UI using Angular, Vue + Bootstrap or React. This powerful workflow allows you to build your application using Webpack, Maven, or Gradle. A resilient microservice architecture that is cloud-native with cloud-native principles.