Helios Alternatives

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm uses our high-performance streaming and secure isolation technology to provide web-native Desktop as a Service (DaaS), application streaming, and secure/private web browsing. Kasm is not just a service; it is a highly configurable platform with a robust developer API and devops-enabled workflows that can be customized for your use-case, at any scale. Workspaces can be deployed in the cloud (Public or Private), on-premise (Including Air-Gapped Networks or your Homelab), or in a hybrid configuration.

Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience

Portainer is an intuitive container management platform for Docker, Kubernetes, and Edge-based environments. With a smart UI, Portainer enables you to build, deploy, manage, and secure your containerized environments with ease. It makes container adoption easier for the whole team and reduces time-to-value on Kubernetes and Docker/Swarm. With a simple GUI and a comprehensive API, the product makes it easy for engineers to deploy and manage container-based apps, triage issues, automate CI/CD workflows and set up CaaS (container-as-a-service) environments regardless of hosting environment or K8s distro. Portainer Business is designed to be used in a team environment with multiple users and clusters. The product includes a range of security features, including RBAC, OAuth integration, and logging - making it suitable for use in complex production environments. Portainer also allows you to set up GitOps automation for deployment of your apps to Docker and K8s based on Git repos.

Bacula Enterprise delivers Physical, Virtual, Container and Hybrid Cloud Backup & Recovery software for the Modern Data Center - all from a single platform. Designed for medium and large organizations, Bacula Enterprise backup and recovery software brings unique innovation, modern architecture, business value benefits and low cost of ownership. Bacula Enterprise corporate data backup software solution uses exclusive technologies that increase the interoperability, power, flexibility and functionality of Bacula Enterprise into a wide range of IT environments such as enterprise data centers, managed service providers, software vendors or cloud providers. Thousands of organizations worldwide use Bacula Enterprise in mission-critical environments, including NASA, Texas A&M University, Unicredit, Swisscom, Sky, and many more. Bacula provides additional security features over other vendors and offers advanced, hybrid Cloud connectivity to Amazon, S3, Google, Oracle and many more.

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications.

The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.

Your applications, any clouds, any containers, anywhere. Apache Brooklyn is software for managing cloud applications. Use it for: Blueprints describe your application, stored as text files in version control, components configured & integrated across multiple machines automatically, 20+ public clouds, or your private cloud or bare servers - and Docker containers, monitor key application metrics; scale to meet demand; restart and replace failed components. View and modify using the web console or automate using the REST API.

A deployment tool for Docker. Takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings. Supports rolling deployments out of the box, and makes it easy to ship applications to Docker servers. We're using it in our production infrastructure. Centurion works in a two part deployment process where the build process ships a container to the registry, and Centurion ships containers from the registry to the Docker fleet. Registry support is handled by the Docker command line tools directly so you can use anything they currently support via the normal registry mechanism. If you haven't been using a registry, you should read up on how to do that before trying to deploy anything with Centurion. This code is developed in the open with input from the community through issues and PRs. There is an active maintainer team within New Relic.

A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single 35MB 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. Bring orchestration benefits to existing services. Achieve zero downtime deployments, improved resilience, higher resource utilization, and more without containerization. Single command for multi-region, multi-cloud federation. Deploy applications globally to any region using Nomad as a single unified control plane. One single unified workflow for deploying to bare metal or cloud environments. Enable multi-cloud applications with ease. Nomad integrates seamlessly with Terraform, Consul and Vault for provisioning, service networking, and secrets management.

Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.

Deploy and manage your containers in the next generation container OS. Use immutable infrastructure to deploy and scale your containerized applications. Project Atomic mainly comprises Atomic Host, Team Silverblue, and various container tooling. cloud native platforms. Atomic Host provides immutable infrastructure for deploying to hundreds or thousands of servers in your private or public cloud. Available in Fedora Atomic Host, CentOS Atomic Host, and Red Hat Atomic Host editions depending on your platform and support needs. To balance the need between long-term stability and new features, we are providing different releases of Atomic Host for you to choose from. Team Silverblue provides immutable infrastructure for your desktop experience.

Deploy applications quickly and confidently with Critical Stack, the open source container orchestration tool from Capital One. Critical Stack enforces the highest level of governance and security standards, enabling teams to efficiently scale containerized applications in the strictest environments. View your entire environment and deploy new services with a few simple clicks. Spend more time on development and decision making and less on maintenance. Dynamically adjust shared resources of your environment efficiently. Enforce container networking policies and controls that your teams can configure. Speed up development cycles and deployment of containerized applications. Guarantee containerized applications run according to your specifications. Deploy containerized applications confidently. Critical Stack enables application verification and powerful orchestration capabilities for your important workloads.

IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.

The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. Elastic provisioning of additional capacity without the need to manage the infrastructure. Add event-driven autoscaling and triggers through KEDA. Faster end-to-end development experience with Azure Dev Spaces including integration with Visual Studio Code Kubernetes tools, Azure DevOps, and Azure Monitor. Advanced identity and access management using Azure Active Directory, and dynamic rules enforcement across multiple clusters with Azure Policy. Available in more regions than any other cloud providers.

Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack.

Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula is a open source project created for Docker orchestration and designed to manage massive clusters at scale, it achieves this by scaling each project component out as far as required. The project’s aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing. Nebula is capable of simultaneously updating tens of thousands of IoT devices worldwide with a single API call in an effort to help devs and ops treat IoT devices just like distributed Dockerized apps.

Develop apps fast without managing virtual machines or having to learn new tools—it's just your application, in a container, running in the cloud. By running your workloads in Azure Container Instances (ACI), you can focus on designing and building your applications instead of managing the infrastructure that runs them. Deploy containers to the cloud with unprecedented simplicity and speed—with a single command. Use ACI to provision additional compute for demanding workloads whenever you need. For example, with the Virtual Kubelet, use ACI to elastically burst from your Azure Kubernetes Service (AKS) cluster when traffic comes in spikes. Gain the security of virtual machines for your container workloads, while preserving the efficiency of lightweight containers. ACI provides hypervisor isolation for each container group to ensure containers run in isolation without sharing a kernel.

Mirantis Kubernetes Engine (formerly Docker Enterprise) provides simple, flexible, and scalable container orchestration and enterprise container management. Use Kubernetes, Swarm, or both, and experience the fastest time to production for modern applications across any environment. Enterprise container orchestration Avoid lock-in. Run Mirantis Kubernetes Engine on bare metal, or on private or public clouds—and on a range of popular Linux distributions. Reduce time-to-value. Hit the ground running with out-of-the-box dependencies including Calico for Kubernetes networking and NGINX for Ingress support. Leverage open source. Save money and maintain control by using a full stack of open source-based technologies that are production-proven, scalable, and extensible. Focus on apps—not infrastructure. Enable your IT team to focus on building business-differentiating applications when you couple Mirantis Kubernetes Engine with OpsCare Plus for a fully-managed K8s experience.

Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science. Nextflow allows you to write a computational pipeline by making it simpler to put together many different tasks. You may reuse your existing scripts and tools and you don't need to learn a new language or API to start using it. Nextflow supports Docker and Singularity containers technology. This, along with the integration of the GitHub code-sharing platform, allows you to write self-contained pipelines, manage versions, and rapidly reproduce any former configuration. Nextflow provides an abstraction layer between your pipeline's logic and the execution layer.

What’s so great about azk? azk is open source software (Apache 2.0) and will always be. azk is agnostic and has a very soft learning curve. Keep using the exact same development tools you already use. It only takes a few commands. Minutes instead of hours or days. azk does its magic by executing very short and simple recipe files (Azkfile.js) that describe the environments to be installed and configured. azk is fast and your machine will barely feel it. It uses containers instead of virtual machines. Containers are like virtual machines, only with better performance and lower consumption of physical resources. azk is built with Docker, the best open source engine for managing containers. Sharing an Azkfile.js assures total parity among development environments in different programmers' machines and reduces the chances of bugs during deployment. Not sure if all the programmers in your team are using the updated version of the development environment?

Strong Network allows the management of containers for DevOps online (as opposed to locally on developers laptop) and access them through a cloud IDE or a SSH connection (in the case of a local IDE). These containers provide a complete management of access keys and credentials to multiple types of resources, in addition to providing data loss prevention (DLP). In addition we combine the IDE with a secure chrome browser (remote browser isolation) such that any third party applications for DevOps can be accessed with DLP. This platform is a complete replacement for VDI/DaaS for code development. Our platform allows the provisioning and management of containers for development online (as opposed to locally on developers' laptops, using a solution like docker desktop for example) and enables accessing them through a cloud IDE or a SSH connection (in the case of a local IDE).

Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.

k0s is the simple, solid & certified Kubernetes distribution that works on any infrastructure: bare-metal, on-premises, edge, IoT, public & private clouds. It's 100% open source & free. Zero Friction - k0s drastically reduces the complexity of installing and running a fully conformant Kubernetes distribution. New kube clusters can be bootstrapped in minutes. Developer friction is reduced to zero, allowing anyone, with no special skills or expertise in Kubernetes to easily get started. Zero Deps - k0s is distributed as a single binary with zero host OS dependencies besides the host OS kernel. It works with any operating system without additional software packages or configuration. Any security vulnerabilities or performance issues can be fixed directly in the k0s distribution. Zero Cost - k0s is completely free for personal or commercial use, and it always will be. The source code is available on GitHub under Apache 2 license.

Conductor is a workflow orchestration engine that runs in the cloud. Conductor was built to help Netflix orchestrate microservices-based process flows with the following features. A distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. A DAG (Directed Acyclic Graph) based workflow definition. Workflow definitions are decoupled from the service implementations. Provide visibility and traceability to these process flows. Simple interface to connect workers, which execute the tasks in workflows. Workers are language agnostic, allowing each microservice to be written in the language most suited for the service. Full operational control over workflows with the ability to pause, resume, restart, retry and terminate. Allow greater reuse of existing microservices providing an easier path for onboarding.

Marathon is a production-grade container orchestration platform for Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos. High Availability. Marathon runs as an active/passive cluster with leader election for 100% uptime. Multiple container runtimes. Marathon has first-class support for both Mesos containers (using cgroups) and Docker. Stateful apps. Marathon can bind persistent storage volumes to your application. You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Beautiful and powerful UI. Service Discovery & Load Balancing. Several methods available. Health Checks. Evaluate your application’s health using HTTP or TCP checks. Event Subscription. Supply an HTTP endpoint to receive notifications - for example to integrate with an external load balancer. Metrics. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus.

harpoon is a drag-and-drop Kubernetes tool for deploying any software in seconds. Whether you're new to Kubernetes or are looking for the best way to learn, harpoon has all the features you need to be successful in deploying and configuring your software using the industry-leading container orchestrator, all with no code. Our visual Kubernetes interface enables anyone to deploy production-grade software with no code. Easily accomplish simple or complex enterprise-grade cloud deployments to deploy and configure software and autoscale Kubernetes without writing any code or configuration scripts. Instantly search for and find any piece of commercial or open source software on the planet and deploy it to the cloud with one click. Before running any applications or services, harpoon will run automated scripts that will secure your cloud provider account. Connect harpoon to your source code repository anywhere and set up an automated deployment pipeline.

Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases.

The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs. The ResourceManager and the NodeManager form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.

Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.

JAAS gives you Juju, as a service. JAAS is the best way to quickly model and deploy your cloud-based applications. Concentrate on your software and solutions with a fully managed Juju infrastructure. In partnership with Google, Canonical delivers a ‘pure K8s’ experience, tested across a wide range of clouds and integrated with modern metrics and monitoring. The Charmed Kubernetes is for full production usage. Start using Kubernetes today. JAAS deploys your workload to your cloud of choice, so you must provide your cloud credentials for JAAS to create and access virtual machines on your behalf. We recommend that users generate a new set of credentials exclusively for use with JAAS via the public cloud's IAM tools. Hundreds of popular cloud-oriented applications such as Kubernetes, Apache Hadoop, Big Data solutions and OpenStack are available in the store as charms and bundles. New ones are added nearly every day and are regularly reviewed and updated.

Ridge goes beyond the public cloud with a flexible cloud that’s anywhere you need to be. Through a single API, Ridge Distributed Cloud converts any underlying infrastructure — public or private — into a cloud-native platform. Businesses get a cloud customized for their specific throughput, locality, and commercial requirements. Ridge requires zero installation or CAPEX: it leverages existing servers and runs application workloads on any IaaS, virtualization, or bare-metal machines. Whether you need to deploy in a private data center, on-prem, edge micro-center, or even in a multi-facility hybrid environment, Ridge is a cloud which expands your footprint without limits.

Modernization is the destination. Your journey starts here. Choose your track to successful application evolution. As you start your journey watch the resources available to guide you along the way. The OpenEdge 12 release series provides the technical foundation to facilitate your application evolution effort. A recommended framework for deploying OpenEdge application in the AWS Cloud. OpenEdge offers a choice when it comes to modernizing your application. It continues to address the need to evolve your business by delivering applications that are highly-available, high performing and agile. Supporting your need to address the demands of your customers and users today and tomorrow, The Progress Application Evolution approach provides measured steps towards modernization that eliminate the need for re-architecting. Take a moment to discover what OpenEdge 12 can do for your business.

Amazon EC2 Auto Scaling helps you maintain application availability and lets you automatically add or remove EC2 instances using scaling policies that you define. Dynamic or predictive scaling policies let you add or remove EC2 instance capacity to service established or real-time demand patterns. The fleet management features of Amazon EC2 Auto Scaling help maintain the health and availability of your fleet. Automation is vital to efficient DevOps, and getting your fleets of Amazon EC2 instances to launch, provision software, and self-heal automatically is a key challenge. Amazon EC2 Auto Scaling provides essential features for each of these instance lifecycle automation steps. Use machine learning to predict and schedule the right number of EC2 instances to anticipate approaching traffic changes.

Stakkr is a a docker recompose tool that uses docker compose to easily create / maintain a stack of services, for example for web development. Via a configuration file you can setup the required services and let stakkr link and start everything for you. It works only in CLI and it’s a good replacement to Vagrant. If you have heard of Docker, you know that when you need to build a full environment with multiple services that are linked, you either have to do everything manually or use docker-compose. The second solution is the best but it implies that you need, for each environment, to change your parameters, choose your images, learn the docker-compose command line tool, etc. In brief, it’s not very flexible and hard to learn. Stakkr will help you, via a very simple configuration file and a predefined list of services (that can be extended by plugins) to build a complete environment. Plus, to control it in command line. It makes use of docker easy.

Organizations are adopting containerized environments to speed app development. But these apps still need services, such as routing, SSL offload, scale, and security. F5 Container Ingress Services makes it easy to deliver advanced application services to your container deployments, enabling Ingress control HTTP routing, load balancing, and application delivery performance, as well as robust security services. Container Ingress Services easily integrates BIG-IP solutions with native container environments, such as Kubernetes, and PaaS container orchestration and management systems, such as RedHat OpenShift. Scale apps to meet container workloads and enable security services to protect container data. Container Ingress Services enables self-service app performance and security services within your orchestration by integrating BIG-IP platforms with your container environment.

Test Kitchen provides a test harness to execute infrastructure code on one or more platforms in isolation. A driver plugin architecture is used to run code on various cloud providers and virtualization technologies such as Vagrant, Amazon EC2, Microsoft Azure, Google Compute Engine, Docker, and more. Many testing frameworks are supported out of the box including Chef InSpec, Serverspec, and Bats For Chef Infra workflows, cookbook dependency resolution via Berkshelf or Policyfiles is supported or include a cookbooks/ directory and Kitchen will know what to do. Test Kitchen is used by all Chef-managed community cookbooks and is the integration testing tool of choice for cookbooks.

Single Tenant Public Cloud with all the security, savings and control of private cloud. Fully Managed by Joyent. Single Tenant Security, Full Operations control over your Private Cloud with Installation, Onboarding and Support provided by Joyent. Open Source or Commercial support for on-premises, user managed private cloud. Built to deliver VMs, containers and bare metal. Built to support exabyte-scale workloads. Joyent engineers provide 360 degree support for modern application architectures, including microservices, apis, development frameworks and container-native devops tooling. Hybrid, Modern and Open, Triton is engineered to run the world’s largest cloud native applications.

JFrog Pipelines empowers software teams to ship updates faster by automating DevOps processes in a continuously streamlined and secure way across all their teams and tools. Encompassing continuous integration (CI), continuous delivery (CD), infrastructure and more, it automates everything from code to production. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions. Scales horizontally, allowing you to have a centrally managed solution that supports thousands of users and pipelines in a high-availability (HA) environment. Pre-packaged declarative steps with no scripting required, making it easy to create complex pipelines, including cross-team “pipelines of pipelines.” Integrates with most DevOps tools. The steps in a single pipeline can run on multi-OS, multi-architecture nodes, reducing the need to have multiple CI/CD tools.

Container Service for Kubernetes (ACK) from Alibaba Cloud is a fully managed service. ACK is integrated with services such as virtualization, storage, network and security, providing user a high performance and scalable Kubernetes environments for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider (KCSP) and ACK is certified by Certified Kubernetes Conformance Program which ensures consistent experience of Kubernetes and workload portability. Kubernetes Certified Service Provider (KCSP) and qualified by Certified Kubernetes Conformance Program. Ensures Kubernetes consistent experience, workload portability. Provides deep and rich enterprise-class cloud native abilities. Ensures end-to-end application security and provides fine-grained access control. Allows you to quickly create Kubernetes clusters. Provides container-based management of applications throughout the application lifecycle.

Run Kubernetes in production with the #1 Kubernetes platform for persistent storage, backup, DR, data security and capacity management. Easily protect, restore and migrate your Kubernetes applications in any cloud or data center. The Portworx Enterprise Storage Platform is your end-to-end storage and data management solution for all your Kubernetes projects, including container-based CaaS, DBaaS, SaaS, and Disaster Recovery initiatives. Your apps will benefit from container-granular storage, disaster recovery, data security, multi-cloud migrations and more. Easily solve the enterprise requirements needed to run data service on Kubernetes. Effortlessly offer a cloud-like DbaaS to your users without giving up control. Scale the backend data services powering your SaaS app without operational complexity. Add DR to any Kubernetes app with a single command. Easily backup and restore all your Kubernetes applications.

Better operators for enterprise apps with a full application graph and declarative integration for both Kubernetes and legacy estate. Juju operator integration allows us to keep each operator as simple as possible, then compose them to create rich application graph topologies that support complex scenarios with a simple, consistent experience and much less YAML. The UNIX philosophy of ‘doing one thing well’ applies to large-scale operations code too, and the benefits of clarity and reuse are exactly the same. Small is beautiful. Juju allows you to adopt the operator pattern for your entire estate, including legacy apps. Model-driven operations dramatically reduce maintenance and operations costs for traditional workloads without re-platforming to K8s. Once charmed, legacy apps become multi-cloud ready, too. The Juju Operator Lifecycle Manager (OLM) uniquely supports both container and machine-based apps, with seamless integration between them.

Microservices, containers and Kubernetes help to free apps from infrastructure, enabling them to work independently and run anywhere. With VMware Tanzu, you can make the most of these cloud native patterns, automate the delivery of containerized workloads, and proactively manage apps in production. It’s all about freeing developers to do their thing: build great apps. Adding Kubernetes to your infrastructure doesn’t have to add complexity. With VMware Tanzu, you can ready your infrastructure for modern apps with consistent, conformant Kubernetes everywhere. Provide a self-service, compliant experience for developers that clears their path to production. Then centrally manage, govern and observe all clusters and apps across clouds. It’s that simple.

Aptible automatically implements the security controls you need to achieve regulatory compliance and pass customer audits. Out-of-the-box compliance. Aptible Deploy enables you to meet and maintain regulatory compliance and customer audit requirements automatically. Aptible provides everything you need to meet encryption requirements so your Databases, traffic, and certificates are secure. You get automatic backups of your data every 24 hours. You can trigger a manual backup at any time, and restore in a few clicks. Logs are generated and backed up for every deploy, config change, database tunnel, and console operation, and session. Aptible monitors the underlying EC2 instances in your stacks for potential intrusions, such as unauthorized SSH access, rootkits, file integrity issues, and privilege escalation. The Aptible Security Team responds on your behalf 24/7 to investigate and resolve issues as they arise.

Aurora runs applications and services across a shared pool of machines, and is responsible for keeping them running, forever. When machines experience failure, Aurora intelligently reschedules those jobs onto healthy machines. When updating a job, Aurora will detect the health and status of a deployment and automatically rollback if necessary. Aurora has a quota system to provide guaranteed resources for specific applications, and can support multiple users to deploy services. Services are highly-configurable via a DSL which supports templating, allowing you to establish common patterns and avoid redundant configurations. Aurora announces services to Apache ZooKeeper for discovery by clients like Finagle.

Focus on building applications and business logic, and let Azure solve the hard distributed systems problems such as reliability, scalability, management, and latency. Service Fabric is an open source project and it powers core Azure infrastructure as well as other Microsoft services such as Skype for Business, Intune, Azure Event Hubs, Azure Data Factory, Azure Cosmos DB, Azure SQL Database, Dynamics 365, and Cortana. Designed to deliver highly available and durable services at cloud-scale, Azure Service Fabric intrinsically understands the available infrastructure and resource needs of applications, enabling automatic scale, rolling upgrades, and self-healing from faults when they occur. Focus on building features that add business value to your application, without the overhead of designing and writing additional code to deal with issues of reliability, scalability, management, or latency in the underlying infrastructure.

Accelerate your development by using a storage layer that works natively with your Kubernetes environment. Focus on running your application, while we make sure you have the persistent volumes that give you the scale and stability you need. Reduce complexity and increase efficiency in your app modernization journey by truly integrating stateful storage into Kubernetes. Run your database or any persistent workload in a Kubernetes environment without having to worry about managing the storage layer. Ondat gives you the ability to deliver a consistent storage layer across any platform. We give you the persistent volumes to allow you to run your own databases without paying for expensive hosted options. Take back control of your data layer in Kubernetes. Kubernetes-native storage with dynamic provisioning that works as it should. Fully API-driven, tight integration with your containerized applications.