Alternatives to Submariner

Cilium is an open-source software that provides, secures and monitors network connectivity between container workloads. It is powered by the revolutionary Kernel technology eBPF. Kubernetes does not include Load Balancing. This is typically left to your cloud provider, or in private cloud environments, an exercise for you and your networking team. Cilium can draw this traffic using BGP and accelerate leveraging XDP or eBPF. These technologies combine to provide load balancing that is robust and secure. Cilium and eBPF work at the kernel layer. This level of context allows us to make intelligent decisions about how to connect different workloads, whether they are on the same node or between clusters. eBPF and XDP Cilium enable significant improvements in performance and latency, and eliminate the need for Kube proxy entirely.

What is Traefik Enterprise Edition and how does it work? TraefikEE, a cloud-native loadbalancer and Kubernetes Ingress controller, simplifies the networking complexity for application teams. TraefikEE is built on top of open-source Traefik and offers exclusive distributed and high availability features. It also provides premium bundled support for production-grade deployments. TraefikEE can support clustered deployments by dividing it into controllers and proxies. This increases security, scalability, and high availability. You can deploy applications anywhere, on-premises and in the cloud. Natively integrate with top-notch infrastructure tools. Dynamic and automatic TraefikEE features help you save time and ensure consistency when deploying, managing and scaling your applications. Developers have the ability to see and control their services, which will improve the development and delivery of applications.

HAProxy Enterprise, the industry's most trusted software load balancer, is HAProxy Enterprise. It powers modern application delivery at all scales and in any environment. It provides the highest performance, observability, and security. Load balance can be determined by round robin or least connections, URI, IP addresses, and other hashing methods. Advanced decisions can be made based on any TCP/IP information, or HTTP attribute. Full logical operator support is available. Send requests to specific application groups based on URL, file extension, client IP, client address, health status of backends and number of active connections. Lua scripts can be used to extend and customize HAProxy. TCP/IP information and any property of the HTTP request (cookies headers, URIs, etc.) can be used to maintain users' sessions.

Calico is an open source networking and security solution for containers, virtual machines and native host-based workloads. Calico supports many platforms, including Kubernetes and OpenShift, Mirantis Kubernetes Engine, (MKE), OpenStack and bare metal. Calico delivers lightning-fast performance and true cloud-native scalability, regardless of whether you use Calico's eBPF or Linux's standard network pipeline. Calico offers developers and cluster operators a consistent experience and set capabilities, whether they are running on-prem or in the public cloud, on a single node or in a multi-thousand-node cluster. Calico offers a variety of data planes. These include a pure Linux-based eBPF data plan, a standard Linux networking data data plane and a Windows HNS information plane. Calico has the right data plane for you, whether you prefer the cutting-edge features offered by eBPF or the familiarity provided by the standard primitives that system administrators already know.

Secure and observability SaaS platform that charges per-use for containers, Kubernetes and the cloud. Live view of dependencies and how services communicate with each other in multi-cluster, hybrid, and multi-cloud environments. You can eliminate the setup and onboarding steps, and you can troubleshoot any Kubernetes security or observability issues in minutes. Calico Cloud is a next generation security and observability SaaS platform that supports containers, Kubernetes and cloud. It allows organizations of all sizes and budgets to protect their cloud workloads, containers, detect threats, maintain compliance, and troubleshoot issues in real time across multi-cluster, hybrid, and multi-cloud deployments. Calico Cloud is built upon Calico Open Source, which is the most widely used container networking and security solution. Instead of managing a platform that provides Kubernetes security or observability, teams can use it as a managed service to speed up analysis, relevant actions, and so on.

Connect, secure, manage, and monitor services. Traffic routing rules in Istio allow you to control traffic flow and API calls between services. Istio makes it easier to configure service-level properties such as circuit breakers, timeouts and retries. It also makes it simple to set up important tasks such as A/B testing, canary rollsouts and staged rollouts that are percentage-based. It also offers out-of-box disaster recovery features that make your application more resilient against network or dependent services failures. Istio Security offers a comprehensive security solution that addresses these issues. This page outlines how Istio Security features can be used to protect your services, no matter where they are hosted. Istio security protects your data, communications, and platform from both insider threats and outsider attacks. Istio provides detailed telemetry for all service communications within the mesh.

Capital One's open-source container orchestration tool, Critical Stack, makes it easy to deploy applications quickly and confidently. Critical Stack ensures the highest levels of security and governance, allowing teams to scale containerized applications even in the most challenging environments. With just a few clicks, you can view your entire environment and create new services. Spend more time developing and making decisions and less time maintaining. Dynamically adjust shared resources in your environment to optimize efficiency. Your teams should be able to configure container networking policies and controls. Accelerate the development and deployment of containerized apps. Ensure that containerized applications meet your requirements. Easily deploy containerized applications. Critical Stack enables application validation and powerful orchestration capabilities to support your most important workloads.

F5 Aspen Mesh empowers businesses to get more performance out of their modern app environments by leveraging their service mesh. As part of F5, Aspen Mesh focuses on delivering enterprise products that enhance modern app environments. Microservices help you deliver new features and differentiate yourself faster. Aspen Mesh allows you to do this at scale and with confidence. Reduce downtime risk and improve customer experience. Aspen Mesh can help you make the most of your distributed systems if you're scaling up microservices for production on Kubernetes. Aspen Mesh enables companies to get more performance out of their modern app environment using their service mesh. Alerts that reduce the risk of failure or performance degradation in applications based on machine learning and data. Secure Ingress exposes enterprise apps safely to customers and web.

Multi-cloud service networking platform that connects and secures services across any runtime platform or public or private cloud. All services are available in real-time location and health information. With less overhead, progressive delivery and zero trust security. You can rest assured that all HCP connections have been secured right out of the box.

Contrail Networking allows you to control and manage your entire network policy, including any cloud, any workload, or any deployment, all from one interface. It converts abstract workflows into specific policies, making it easier to orchestrate virtual overlay connectivity across all environments. End-to-end policies can be applied and controlled in both virtual and physical environments. Contrail Networking's software defined networking (SDN), which is based on Tungsten Fabric, an open-source network virtualization project, allows you to securely deploy workloads in any environment. It provides continuous overlay connectivity to any workload and runs on any compute technology, including traditional bare-metal servers, virtual machine, and containers. Contrail Command is an easy-to-use interface that combines management and operations.

Converged Cloud Fabric is an automated fabric that uses cloud networking design principles. CCF uses VPC/VNet constructions on-prem in order to provide a cloud Network as-a-Service operational model. CCF automates the networking of multiple private cloud platforms. This allows the network to run at the speed and efficiency of Containers and VMs. CCF offers real-time visibility across the fabric, as well as telemetry and built-in analytics. It also provides one-click troubleshooting workflows and telemetry. CCF allows NetOps, DevOps, and CloudOps teams to collaborate effectively and quickly on-board tenants and applications. CCF allows mainstream and mid-sized organizations to use network as a strategic pillar in their digital transformation strategy. CCF's self service networking and contextual intelligence allow NetOps to focus on innovation, such as new services or analytics, and not on tedious manual tasks.

VMware NSX enables full-stack network and security virtualization. Your virtual cloud network can connect and protect applications from your data center, multi-cloud, container infrastructure, and bare metal. VMware NSX Data Center is a complete L2-L7 security and networking platform that allows you to manage your entire network from one pane of glass. You can easily provision your security and networking services with one click. You can manage consistent security and networking policies across private and publicly cloud environments from one pane of glass. This is regardless of whether your application runs on a VM, container or bare metal. Micro-segmentation allows you to provide granular protection for your apps, depending on the workload.

With one security and networking tool, you can solve your tooling overload and tooling complexity. Consolidating saves time and reduces the risk of getting swivel-chair fatigue due to context switches. TF is a plugin integration super-star, never implementing anything less than necessary. Here's a sample of what TF can do that other SDN plugins cannot. Networks require that borders be crossed. TF is a specialist in the use of the same language as the data and control planes, so your domain is never an island. Open source allows innovation to flow from many directions and gives you the freedom to create the outcomes you want or to trust vendors. Optional Namespace isolation and per microservice micro-segmentation, with the choice of TF tenants or networks or security rules

Streamline and simplify Kubernetes' (north/south) network traffic management. This will deliver consistent, predictable performance at scale without slowing your apps. Advanced app-centric configuration – Use role-based access control and self-service to set security guardrails (not gate) so that your teams can manage their apps securely. Multi-tenancy, reusability and simpler configurations are all possible. Native, type-safe, indented configuration style that simplifies capabilities such as circuit breaking, sophisticated routing and header manipulation, mTLS authentication and WAF. NGINX Ingress resources allow you to easily adapt configurations from other environments if you already use NGINX.

Open vSwitch, a multilayer virtual switch licensed under open source Apache 2.0, is a high-quality, production-quality virtual switch. It's designed to allow massive network automation via programmatic extension while still supporting standard management interfaces & protocols (e.g. NetFlow, sFlow, IPFIX, RSPAN, CLI, LACP, 802.1ag). It is also designed to distribute across multiple physical servers, similar to Cisco's Nexus 1000V or VMware's vNetwork distributed switch. Open vSwitch can be used in multiple products, and it runs in large production environments (some very large). Every stable release goes through hundreds of system-level and thousands of unit testing. The OVN project is maintained by the Open vSwitch group. OVN adds native support for virtual network abstractions to OVS, such as virtual L2 overlays and L3 overlays, and security groups.

NGINX Open Source: The open source web server that powers more than 400 million websites. NGINX Plus is an open-source software load balancer, webserver, and content cache. It was built on top NGINX. NGINX Plus offers enterprise-grade features that are not available in the open-source offering. These include session persistence, configuration via API and active health checks. NGINX Plus can be used instead of your hardware loadbalancer to allow you to innovate without being restricted by infrastructure. You can save more than 80% over hardware ADCs without sacrificing functionality or performance. You can deploy anywhere: public cloud or private cloud, baremetal, virtual machines, containers, or virtual machines. You can save time with the NGINX Plus API, which automates common tasks. Modern app teams require an API-driven platform that integrates seamlessly into CI/CD workflows. It can be used to automate app deployment, whether you have a hybrid or microservices architecture. It also makes app lifecycle management simpler.

5G technology is quite different from previous generations of wireless networks. 5G can be seen as a collection end-to-end uses, rather than a technology. Remote healthcare, autonomous cars and smart utilities are just a few examples of use cases. These use cases require a unique network architecture that includes a variety of features. This allows wireless service providers to have a single network for all devices, 2G to 5G. It is the common software that Mavenir products and services use to enable agility and speed in the delivery and adoption of new technologies. It is unique because it combines the best practices of the hyper-scale cloud and IT industries for rapid design and development, testing, and rollout.

NVIDIA®, Onyx®, delivers a new level in flexibility and scalability for next-generation data centres. Onyx integrates seamlessly with most popular hyperconverged storage and software-defined storage systems. Onyx's robust layer-3 protocol stack, built in monitoring and visibility tools and high-availability mechanisms make it an ideal network operating system to run enterprise and cloud data centers. NVIDIA Onyx allows you to run custom containerized applications side-by-side. You can eliminate the need to purchase one-off servers and integrate shrinkwrap solutions into your network infrastructure. Strong integration with hyper-converged infrastructures and software-defined storage systems. Classic network operating system (CLI) with a command-line interface (CLI). Single-line command to configure and monitor remote direct-memory connections over converged Ethernet (RoCE). Support for containerized apps with full access to the Software Development Kit (SDK).

Kentik provides the network analytics and insight you need to manage all your networks. Both old and new. Both the ones you have and those you don't. All your traffic from your network to your cloud to the internet can be viewed on one screen. We offer: - Network Performance Analytics - Hybrid Analytics and Multi-Cloud Analytics (GCP. AWS. Azure) Internet and Edge Performance Monitoring - Infrastructure Visibility DNS Security and DDoS Attack Defense - Data Center Analytics - Application Performance Monitoring Capacity Planning Container Networking - Service Provider Intelligence - Real Time Network Forensics - Network Costs Analytics All on One Platform for Security, Performance, Visibility Trusted by Pandora and Box, Tata, Yelp. University of Washington, GTT, and many other! Try it free!

The Internet of Things (IoT) is rapidly changing the network landscape. This is due to trends in hybrid and multicloud migration, security and SDN, NFV and IPv6 adoption. All organizations need specialized solutions to simplify and optimize the network management tasks of DNS, DHCP, and IP address management. These critical network services are collectively known as DDI and make all network interactions possible. Infoblox appliances and applications are uniquely able support all your DDI needs, both now and in the future. You need to centralize control over advanced DDI services at your site while seamlessly integrating with cloud or virtualization platforms. We've got you covered. You can dramatically improve the network in branch and remote locations by managing DDI in cloud. Check. You want to see all network assets across the infrastructure in one place? You got it. You can do DDI.

Red Hat Advanced Cluster Management with Kubernetes allows you to manage clusters and applications using a single console. It also includes built-in security policies. Red Hat OpenShift can be extended by deploying applications, managing multiple clusters and enforcing policy across multiple clusters. Red Hat's solution monitors usage, ensures compliance and maintains consistency. Red Hat Advanced Cluster Management is included in Red Hat OpenShift Plus. This complete set of powerful and optimized tools will help you secure, manage, and protect your apps. Manage any Kubernetes Cluster in your fleet and run your operations anywhere Red Hat OpenShift is running. Self-service provisioning speeds up application development pipelines. Distributed clusters can be used to deploy cloud-native and legacy applications. Self-service cluster deployment automates the delivery of applications, freeing up IT departments.

Azure Kubernetes Service clusters can easily handle multicluster scenarios, such as workload propagation (for traffic flowing to member clusters) and upgrade orchestration. Fleet cluster allows for centralized management at scale of all clusters. The managed hub cluster will take care of upgrades and Kubernetes configuration for you. Kubernetes configuration dissemination allows you to use policies and overrides for disseminating objects across clusters. North-South load balancer orchestrates traffic across workloads deployed across multiple member clusters in the fleet. Group any combination Azure Kubernetes Service clusters (AKS) to simplify multi-cluster workflows such as Kubernetes configuration dissemination and multi-cluster network. Fleet requires a hub Kubernetes Cluster to store configurations such as placement policy and multi-cluster networking.

The Nuage Networks Virtualized Services Platform, (VSP) can transform your network and help you prepare for the future of end-to-end network automation. VSP allows you to provide SDN/SD-WAN network automation across networks of all sizes and architectures, from large enterprise WANs to data center private clouds, to large public clouds. Our open, secure, multi-cloud-enabled wide area networking solution is available through more than 70 Managed Service Provider Partners around the world. It offers all the benefits of SDWAN and allows your business to choose the best approach for your digital transformation needs. The Nuage Networks Virtualized Services Platform is the industry's leading network automation platform. It enables a full range of SDN, SDWAN, and cloud solutions. VSP allows advanced network automation across all networks and clouds, regardless of their size or architecture. It can automate everything from datacenter private clouds to large enterprise wide-area networks (WANs).

Nutanix Kubernetes Engine is an enterprise Kubernetes management tool that can help you speed up your journey to production-ready Kubernetes. NKE allows you to manage a Kubernetes environment that is ready for production. It's easy to use and push-button simple. You can deploy and configure production-ready Kubernetes Clusters in minutes instead of days or even weeks. NKE's easy workflow makes it easy to automatically configure and deploy Kubernetes clusters. Every NKE Kubernetes cluster comes with a Nutanix fully-featured CSI driver. This natively integrates with Volumes Block Storage, Files Storage, and allows for persistent storage for containerized apps. You can add Kubernetes worker Nodes in a single click. Expanding the cluster is as easy as adding additional resources.

Flannel is a virtual layer of networking that was specifically designed for containers. OpenShift Container Platform can use it to create networking containers, instead of the default software defined networking (SDN). This is useful when OpenShift Container Platform is running within a cloud provider platform which also relies upon SDN (e.g. OpenStack) and you want to avoid having packets encapsulated twice through both platforms. Each flanneld agent gives this information to a central etcd store, so that other agents on hosts can route packets within the flannel system. The following diagram shows the architecture and data flow between containers using a Flannel network.

Codefresh was founded in 2014. It combines CI/CD and Image Management to create a complete container delivery platform that connects developers and operations. Codefresh allows startups and enterprises to instantly benefit from microservices, container-based technologies. The company is based out of Silicon Valley, Israel.

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

Deploy and Orchestrate Applications on a Managed Kubernetes Platform with centralized, SaaS based management of distributed apps with a single-pane of glass and rich observeability. Simplify deployments by managing them as a single instance across on-prem cloud and edge locations. With a single Kubernetes-compatible API, you can manage and scale applications across multiple clusters (customer sites, F5 Distributed cloud Regional Edge or customer sites) with ease. Deploy, deliver and secure applications across all locations in a single "virtual location". Distributed applications can be deployed, secured, and operated with production grade Kubernetes, no matter where they are located, from the public cloud to the edge. Secure K8s Gateway for zero-trust security from the cluster to the ingress services, including WAAP, network and application firewall, and service policies management.

Vision's lightweight architecture is easy to use and deploy. It also provides real-time root cause analysis that is action-based and real-time. The software-driven probes offer broadcasters, network operators, and content distributors a cost-effective way to gain direct analysis at the last mile. Vision increases reliability in content distribution by monitoring more points than ever before, all-in-one, and providing unprecedented fault tolerance and redundancy, hot-swap backups, load balancing, clustering, and load balancing. Vision is designed to work continuously and allows for detailed root cause analysis. Vision includes 24/7 video capture of each issue as well as time-correlated trend history. Vision provides a complete picture of channel delivery down to the last mile by deploying it across the network.

Spend your time developing applications, not maintaining infrastructure. Managed Service for Apache Kafka manages Zookeeper brokers, clusters and updates their versions. Distribute cluster brokers over different availability zones, and set the replication factors to ensure fault tolerance. The service will analyze the metrics and status and replace the cluster if any node fails. You can adjust the number of messages, log cleanup policy and compression type for each topic to optimize computing, network and disk resources. You can add brokers with a single click to your cluster to improve performance or change the class for high-availability servers without stopping them and losing any data.

It is tedious and time-consuming to build and push containers in Kubernetes and then test them. It's difficult to write and debug code that relies on services in Kubernetes. It's especially difficult if you can't reach them during development. Gefyra, an Open Source Project, runs local code without the build-push cycle in any Kubernetes Cluster. It overlays containers within the cluster, making code changes instantly available. Gefyra enables you to: - Run containers on an external Kubernetes Cluster and talk to the internal services - Operate feature branches in a production like Kubernetes with all adjacent services - Overlay Kubernetes Cluster-internal Services with your local container. - Use development clusters to benefit multiple developers at once. - Write code with the IDE that you already love - Take advantage of all the cool development features such as debuggers, code-hot reloading and overriding. - Perform high-level integration testing against all dependent services

BotKube is an automated messaging bot that monitors and debugs Kubernetes clusters. InfraCloud developed and maintains it. BotKube is compatible with many messaging platforms such as Slack, Mattermost and Microsoft Teams. It can help you monitor your Kubernetes clusters, debug critical deployments, and give recommendations for best practices. BotKube monitors Kubernetes resources, and sends a notification via the channel if an event occurs such as ImagePullBackOff error. You can set the objects and the level of events that you want from the Kubernetes Cluster. You can toggle on/off notifications. BotKube can execute Kubectl commands on Kubernetes clusters without access to Kubeconfig and underlying infrastructure. BotKube allows you to debug your cluster's deployment, services, or any other aspect of it from your messaging window.

Kuma Enterprise Service Mesh based on Kuma to multi-cloud and multi cluster on Kubernetes as well as VMs. You can deploy with one command. With built-in service discovery, connect to other services automatically. This includes an Ingress resource as well as remote CPs. Support for any environment, including multicluster, multicloud, and multiplatform on Kubernetes as well as VMs. Native mesh policies can be used to accelerate initiatives such as zero-trust or GDPR, and improve the efficiency and speed of each application team. A single control plane can scale horizontally to multiple data planes, support multiple clusters, or even hybrid service meshes that run on Kubernetes and both VMs. Envoy-based ingress deployments on Kubernetes or VMs can simplify cross-zone communication. You can collect metrics, trace and logs for all L4-L7 traffic using Envoy's 50+ observability charts.

Apache Helix is a generic cluster management framework that automates the management of distributed, replicated, and partitioned resources hosted on a cluster. Helix automates the reassignment and reconfiguration of resources in case of node failure, recovery, cluster expansion, or reconfiguration. Cluster management is the first step to understanding Helix. For the following reasons, a distributed system is typically run on multiple nodes: Scalability, fault tolerance, load balancencing, and scalability. Each node is responsible for one or more of the cluster's primary functions, such as serving and storing data, producing and consuming data streams, etc. Helix is the global brain of your system once it has been configured. It is designed to make decisions that are not possible in isolation. Although it is possible to integrate these functions into a distributed system, it can complicate the code.

CloudNatix connects to any infrastructure, anywhere. All your federated resources can be unified into one cluster-scale planet-scale cluster using an easy-to-use SaaS service. The global dashboard gives you a common view of operational and cost information across all your cloud & Kubernetes environments. This includes AWS, EKS Azure, AKS Google Cloud, GKE, AWS, EKS Azure, AKS Google Cloud, GKE, AKS, Azure, AKS and Google Cloud. The universal view across all clouds allows for you to drill down into details of each resource, including individual instances and namespaces across all regions and availability zones. CloudNatix offers a single cost-attribution view for all your public, private, and hybrid clouds. It also includes multiple Kubernetes clusters. CloudNatix automates costs that you assign to business units.

Kubestone is the benchmarking operator for Kubernetes. Kubestone can be used to evaluate Kubernetes' performance. It supports a common set benchmarks to measure CPU, disk, network, and application performance. Fine-grained control of Kubernetes scheduling primitives. A new controller can be used to add new benchmarks. Benchmark runs are defined as custom resources. They are executed in Kubernetes cluster using Kubernetes pods, jobs and deployments. The quickstart guide will show you how Kubestone can work and how benchmarks can run. Kubestone can be used to execute benchmarks by creating custom resources within your cluster. Once the namespace has been created, you can use it for posting a benchmark request to your cluster. This namespace will house the resulting benchmark executions.

Spot Ocean allows you to reap the benefits Kubernetes without worrying too much about infrastructure, while simultaneously gaining deep cluster visibility. This can dramatically reduce costs. The key question is how can containers be used without the operational overhead of managing underlying VMs, while still maximizing the cost benefits associated to multi-cloud and spot instances. Spot Ocean solves this problem by managing containers within a "Serverless” environment. Ocean is an abstraction over virtual machines that allows Kubernetes clusters to be deployed without the need for managing the underlying VMs. Ocean makes use of multiple compute purchasing options such as Spot and Reserved instance pricing. It also has failover to On Demand instances whenever necessary, resulting in a 80% reduction in infrastructure expenses. Spot Ocean is a Serverless Compute Engine. It abstracts the provisioning (launching), autoscaling and management of worker nodes within Kubernetes clusters.

Windows Server 2022 offers advanced multi-layer security and hybrid capabilities with Azure. It also provides a flexible platform for applications. The operating system can improve the security posture of an organization. For greater IT efficiency, extend your datacenter to Azure. With an application platform, IT professionals and developers can create and deploy many applications. Azure hybrid benefits and extended security updates will help you save money. Modernize your workloads with Azure, the trusted cloud for Windows Server. Azure Arc allows you to connect on-premises Windows Servers with Azure. Upgrade to the most recent operating system for improved security, performance, and value. Azure gives you all the benefits of cloud computing. It's free to get started. This browser-based app lets you manage your clusters, hyperconverged infrastructure, servers, and Windows 10 computers.

Kubernetes Clusters can be centrally deployed, managed, and run across all your environments using a comprehensive container orchestration platform. This platform finally delivers on the Kubernetes promise. Kublr has been optimized for large enterprises and provides multi-cluster deployments as well as observability. We made it simple so that your team can concentrate on what is really important: innovation and value-generation. Kublr provides the flexible, comprehensive tools that allow you to deploy Kubernetes clusters of enterprise-quality Kubernetes clusters right away. Enterprise-grade container orchestration may start with Docker or Kubernetes. The platform is easy to use for organizations new to Kubernetes, while offering the control and flexibility that mature organizations require. Master self-healing is important, but true high availability can only happen with additional node self healing, which ensures worker nodes are as reliable and reliable as the cluster.

Container Engine for Kubernetes is an Oracle-managed container orchestration platform that can help you build modern cloud native apps in a shorter time and at a lower cost. Oracle Cloud Infrastructure offers Container Engine for Kubernetes free of charge, running on more efficient and lower-cost compute shapes than most other vendors. Open-source Kubernetes can be used by DevOps engineers for application workload portability, and to simplify operations with automatic updates. With a single click, deploy Kubernetes clusters, including the underlying virtual clouds networks, internet gateways and NAT gateways. Automate Kubernetes operations using web-based REST API or CLI. This includes cluster creation, scaling, operations, and maintenance. Cluster management is free with Oracle Container Engine for Kubernetes. You can easily and quickly upgrade container clusters with zero downtime to keep them current with the latest stable version Kubernetes.

Engineers can deploy faster and more confidently with a unified continuous delivery solution that supports multiple application types on multi-cloud. GitOps is a tool that allows you to deploy by pulling request on Git. The deployment pipeline UI helps to understand what is happening. Each deployment has its own log viewer. Real-time visualization of the application state. Notifications for deployment to slack and webhook endpoints. Insights provide insight into the delivery performance. Automated deployment analysis using metrics, logs and emitted request. Automatically roll back to the original state when analysis fails or a pipeline stage fails. Automatically detect configuration drift and notify the user. When a defined event occurs, automatically trigger a new deployment (e.g. container image pushed, helm chart published, etc). Support single sign-on as well as role-based access control. Credentials are not stored in the control plane and are not visible outside the cluster.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

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.

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.

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.

Riemann aggregates events from applications and servers using a powerful stream processing language. Send an email to every exception in your app. Monitor the latency distribution for your web app. You can see the top processes on any host by memory and CPU. Combine statistics from each Riak node within your cluster and forward them over to Graphite. Follow user activity from second-to-second. Riemann is a low-latency, temporary shared state that can be used in systems with many moving parts. Riemann streams are functions that accept events. Clojure program, Riemann's configuration has a simple syntax that is easy to understand, consistent, and extensible. Configuration-as-code minimizes boilerplate and gives you the flexibility to adapt to complex situations. Riemann can give you as much or little information as you need. You can throttle or roll up multiple events in one message. You will receive emails about exceptions in the code, provider downtime or latency spikes. PagerDuty integration is possible for SMS and phone alerts.

AWS ParallelCluster, an open-source tool for cluster management, simplifies the deployment of High-Performance Computing clusters (HPC) on AWS. It automates resource setup, including compute nodes and a shared filesystem. It also supports multiple instance types and queues for job submission. ParallelCluster can be accessed via a graphical interface, command line interface, or API. This allows for flexible cluster management and configuration. The tool integrates with AWS Batch and Slurm to facilitate seamless migration of HPC workloads into the cloud. AWS ParallelCluster comes at no extra cost; users pay only for the AWS resources used by their applications. AWS ParallelCluster allows you to use a simple text document to model, provision and dynamically scale resources for your applications. This can be done in an automated, secure and automated manner.

IPFS Cluster allows data orchestration across a swarm IPFS daemons. It allocates, replicates and tracks a global pinset distributed among multiple peers. IPFS gives users the ability to store content-addressed data. However, the permanent web demands a data redundancy solution that does not compromise the distributed nature IPFS Network. IPFS Cluster is a distributed app that acts as a sidecar for IPFS peers. It maintains a global cluster pinset, and intelligently allocates its items to the IPFS peer. Cluster peers form a distributed network that maintains a global, replicable, and conflict-free pin list. Directly import IPFS content to multiple daemons. Each cluster peer has an additional IPFS proxy API that performs cluster actions, but behaves exactly the same as the IPFS daemons API. Cluster peers can be programatically launched in Go.

Welcome to K8 Studio - your ultimate cross platform client IDE for effortless Kubernetes Cluster management. You can deploy seamlessly to popular platforms like EKS, GKE and AKS or your dedicated bare-metal setup. Connect to your cluster using an intuitive interface that provides a visual representation of services, nodes, pods and more. With a single click, you can access logs, detailed descriptions of elements, and a bash console. K8Studio features are user-friendly and will enhance your Kubernetes experiences. Grid view provides a tabular display for all Kubernetes items. The left bar allows the user to select specific object types. This view is interactive and updated in real-time. Users can easily search and filter objects based on namespaces, and rearrange columns. Organizes workloads by namespace, instance, and services. Visualize object connections to quickly count pods and check status.

The Knox API Gateway is a reverse proxy that allows pluggability to be made in areas such as policy enforcement, through providers, and backend services. Policy enforcement ranges from authentication/federation, authorization, audit, dispatch, hostmapping and content rewrite rules. A chain of providers is used to enforce policy. This chain is defined in the topology deployment description for each Apache Hadoop cluster gated with Knox. The topology deployment descriptor also defines the cluster definition. This provides the Knox Gateway with the layout and configuration of the cluster to allow for routing and translation between user-facing URLs and internals. Knox protects Apache Hadoop clusters with a single application context path that represents their set of REST APIs. This allows Knox Gateway to protect multiple clusters at once and provide a single endpoint for the REST API user.