Alternatives to Tencent Cloud Load Balancer
Compare Tencent Cloud Load Balancer alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Tencent Cloud Load Balancer in 2026. Compare features, ratings, user reviews, pricing, and more from Tencent Cloud Load Balancer competitors and alternatives in order to make an informed decision for your business.
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AWS Fargate
Amazon
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. 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. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design. -
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Elastic Load Balance (ELB) automatically distributes incoming traffic across multiple servers to balance their workloads, increasing service capabilities and fault tolerance of your applications. ELB can establish up to 100 million concurrent connections and meet your requirements for handling huge numbers of concurrent requests. ELB is deployed in cluster mode and ensures that your services are uninterrupted. If servers in an AZ are unhealthy, ELB automatically routes traffic to healthy servers in other AZs. ELB makes sure that your applications always have enough capacity for varying levels of workloads. It works with Auto Scaling to flexibly adjust the number of servers and intelligently distribute incoming traffic across servers. A diverse set of protocols and algorithms enable you to configure traffic routing policies to suit your needs while keeping deployments simple.Starting Price: $0.02
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Leverage an expertly engineered global load balancing platform on infrastructure that ensures fast performance. The DNS is fully configurable via APIs, with DDoS protection and no appliances to manage. Direct traffic to the nearest application instance and/or route traffic for GDPR compliancy. Split loads across compute instances. Detect failed or degraded resource instances and reroute clients. Maintain high availability with disaster recovery. Automatically detect primary site failures, get zero-touch failover, and dynamically fail applications over to designated or available instances. Simplify cloud-based DNS management and load balancing and get disaster recovery to ease the burden on your operations and development teams. F5’s cloud-based, intelligent DNS with global server load balancing (GSLB) efficiently directs application traffic across environments globally, performs health checks, and automates responses to activities and events to maintain high performance among apps.
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Google Cloud Load Balancer
Google
Scale your applications on Compute Engine from zero to full throttle with Cloud Load Balancing, with no pre-warming needed. Distribute your load-balanced compute resources in single or multiple regions—close to your users—and to meet your high availability requirements. Cloud Load Balancing can put your resources behind a single anycast IP and scale your resources up or down with intelligent autoscaling. Cloud Load Balancing comes in a variety of flavors and is integrated with Cloud CDN for optimal application and content delivery. With Cloud Load Balancing, a single anycast IP front-ends all your backend instances in regions around the world. It provides cross-region load balancing, including automatic multi-region failover, which gently moves traffic in fractions if backends become unhealthy. In contrast to DNS-based global load balancing solutions, Cloud Load Balancing reacts instantaneously to changes in users, traffic, network, backend health, and other related conditions.Starting Price: $0.025 per hour -
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AWS ParallelCluster
Amazon
AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner. -
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IBM Tivoli System Automation for Multiplatforms (SA MP) is cluster-managing software that facilitates the automatic switching of users, applications, and data from one database system to another in a cluster. Tivoli SA MP automates control of IT resources such as processes, file systems, and IP addresses. Tivoli SA MP provides a framework to automatically manage the availability of what are known as resources. Any piece of software for which start, monitor, and stop scripts can be written to control. Any network interface card to which Tivoli SA MP was granted access. That is, Tivoli SA MP manages the availability of any IP address that a user wants to use by floating that IP address among NICs that it has access to. This is known as a floating or virtual IP address. In a single-partition Db2 environment, a single Db2 instance is running on a server. This Db2 instance has local access to data (its own executable image as well as databases owned by the instance).
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AWS Elastic Load Balancing
Amazon
Elastic Load Balancing automatically routes incoming application traffic across multiple destinations, such as Amazon EC2 instances, containers, IP addresses, Lambda functions, and virtual appliances. You can control the variable load of your application traffic in a single zone or in multiple Availability Zones. Elastic Load Balancing offers four types of load balancers that have the necessary level of high availability, automatic scalability, and security to make your applications fault tolerant. Elastic Load Balancing is part of the AWS network, with native knowledge of fault limits like AZ to keep your applications available in one region, without requiring Global Server Load Balancing (GSLB). ELB is also a fully managed service, which means you can focus on delivering applications and not installing fleets of load balancers. Capacity is automatically added and removed based on the utilization of the underlying application servers.Starting Price: $0.027 USD per Load Balancer per hour -
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AWS Elastic Fabric Adapter (EFA)
United States
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High-Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. EFA is available as an optional EC2 networking feature that you can enable on any supported EC2 instance at no additional cost. Plus, it works with the most commonly used interfaces, APIs, and libraries for inter-node communications. -
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Azure Application Gateway
Microsoft
Protect your applications from common web vulnerabilities such as SQL injection and cross-site scripting. Monitor your web applications using custom rules and rule groups to suit your requirements and eliminate false positives. Get application-level load-balancing services and routing to build a scalable and highly available web front end in Azure. Autoscaling offers elasticity by automatically scaling Application Gateway instances based on your web application traffic load. Application Gateway is integrated with several Azure services. Azure Traffic Manager supports multiple-region redirection, automatic failover, and zero-downtime maintenance. Use Azure Virtual Machines, virtual machine scale sets, or the Web Apps feature of Azure App Service in your back-end pools. Azure Monitor and Azure Security Center provide centralized monitoring and alerting, and an application health dashboard. Key Vault offers central management and automatic renewal of SSL certificates.Starting Price: $18.25 per month -
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Toil-free traffic management for your service mesh. Service mesh is a powerful abstraction that's become increasingly popular to deliver microservices and modern applications. In a service mesh, the service mesh data plane, with service proxies like Envoy, moves the traffic around and the service mesh control plane provides policy, configuration, and intelligence to these service proxies. Traffic Director is GCP's fully managed traffic control plane for service mesh. With Traffic Director, you can easily deploy global load balancing across clusters and VM instances in multiple regions, offload health checking from service proxies, and configure sophisticated traffic control policies. Traffic Director uses open xDSv2 APIs to communicate with the service proxies in the data plane, which ensures that you are not locked into a proprietary interface.
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AdroitLogic Integration Platform Server (IPS)
AdroitLogic
Easily deploy any number of ESB instances on the Integration Platform with just a few mouse clicks. Monitor and debug individual instances as well as entire clusters via a single dashboard. ESB instances are spawned in lightweight Docker containers, which provides better resource utilization and responsiveness than virtual machines. The platform detects and re-spawns failed instances within a matter of seconds, using the powerful Kubernetes framework. Adjust computing power of the platform by adding or removing physical or virtual machines, with zero impact on existing components. Easily manage ESB clusters, projects, configurations and user permissions, monitor statistics and debug ESB instances via the IPS dashboard. Plug in project-specific dashboards and seamlessly manage and monitor the platform as well as individual projects via a single, unified dashboard. -
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AWS Batch
Amazon
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as AWS Fargate, Amazon EC2 and Spot Instances. There is no additional charge for AWS Batch. You only pay for the AWS resources (e.g. EC2 instances or Fargate jobs) you create to store and run your batch jobs. -
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Amazon EC2 Capacity Blocks for ML enable you to reserve accelerated compute instances in Amazon EC2 UltraClusters for your machine learning workloads. This service supports Amazon EC2 P5en, P5e, P5, and P4d instances, powered by NVIDIA H200, H100, and A100 Tensor Core GPUs, respectively, as well as Trn2 and Trn1 instances powered by AWS Trainium. You can reserve these instances for up to six months in cluster sizes ranging from one to 64 instances (512 GPUs or 1,024 Trainium chips), providing flexibility for various ML workloads. Reservations can be made up to eight weeks in advance. By colocating in Amazon EC2 UltraClusters, Capacity Blocks offer low-latency, high-throughput network connectivity, facilitating efficient distributed training. This setup ensures predictable access to high-performance computing resources, allowing you to plan ML development confidently, run experiments, build prototypes, and accommodate future surges in demand for ML applications.
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Yandex Network Load Balancer
Yandex
Load Balancer uses technologies running on Layer 4 of the OSI model. This lets you process network packets with minimum delay. You set rules for TCP or HTTP checks and load balancers monitor the status of cloud resources. Resources that fail the check aren’t used. You pay for the number of load balancers and the amount of incoming traffic. Outgoing traffic is charged the same as other Yandex Cloud services. Load balancers distribute load based on the client address and port, resource availability, and network protocol. If the instance group parameters or members change, the load balancer adjusts automatically. When incoming traffic changes abruptly, you don’t need to reconfigure the load balancers. -
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Amazon EC2 UltraClusters
Amazon
Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. EC2 UltraClusters provide scale-out capabilities for distributed ML training and tightly coupled HPC workloads, reducing training times. -
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DxEnterprise
DH2i
DxEnterprise is multi-platform Smart Availability software built on patented technology for Windows Server, Linux and Docker. It can be used to manage a variety of workloads at the instance level—as well as Docker containers. DxEnterprise (DxE) is particularly optimized for native or containerized Microsoft SQL Server deployments on any platform. It is also adept at management of Oracle on Windows. In addition to Windows file shares and services, DxE supports any Docker container on Windows or Linux, including Oracle, MySQL, PostgreSQL, MariaDB, MongoDB, and other relational database management systems. It also supports cloud-native SQL Server availability groups (AGs) in containers, including support for Kubernetes clusters, across mixed environments and any type of infrastructure. DxE integrates seamlessly with Azure shared disks, enabling optimal high availability for clustered SQL Server instances in the cloud. -
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Percona Kubernetes Operator
Percona
The Percona Kubernetes Operator for Percona XtraDB Cluster or Percona Server for MongoDB automates the creation, alteration, or deletion of members in your Percona XtraDB Cluster or Percona Server for MongoDB environment. It can be used to instantiate a new Percona XtraDB Cluster or Percona Server for MongoDB replica set, or to scale an existing environment. The Operator contains all necessary Kubernetes settings to provide a proper and consistent Percona XtraDB Cluster or Percona Server for MongoDB instance. The Percona Kubernetes Operators are based on best practices for configuration and setup of a Percona XtraDB Cluster or Percona Server for MongoDB replica set. The benefits of the Operator are many but saving time and delivering a consistent and vetted environment is key.Starting Price: Free -
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Spot Ocean
Spot by NetApp
Spot Ocean lets you reap the benefits of Kubernetes without worrying about infrastructure while gaining deep cluster visibility and dramatically reducing costs. The key question is how to use containers without the operational overhead of managing the underlying VMs while also take advantage of the cost benefits associated with Spot Instances and multi-cloud. Spot Ocean is built to solve this problem by managing containers in a “Serverless” environment. Ocean provides an abstraction on top of virtual machines allowing to deploy Kubernetes clusters without the need to manage the underlying VMs. Ocean takes advantage of multiple compute purchasing options like Reserved and Spot instance pricing and failover to On-Demand instances whenever necessary, providing 80% reduction in infrastructure costs. Spot Ocean is a Serverless Compute Engine that abstracts the provisioning (launching), auto-scaling, and management of worker nodes in Kubernetes clusters. -
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Exafunction
Exafunction
Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clusters and fine-tuning performance. In most deep learning applications, CPU, I/O, and network bottlenecks lead to poor utilization of GPU hardware. Exafunction moves any GPU code to highly utilized remote resources, even spot instances. Your core logic remains an inexpensive CPU instance. Exafunction is battle-tested on applications like large-scale autonomous vehicle simulation. These workloads have complex custom models, require numerical reproducibility, and use thousands of GPUs concurrently. Exafunction supports models from major deep learning frameworks and inference runtimes. Models and dependencies like custom operators are versioned so you can always be confident you’re getting the right results. -
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BidElastic
BidElastic
It isn’t always straightforward to benefit from the rich features of cloud services. To make it easier for businesses to use the cloud, we developed BidElastic as a resource provisioning tool with two components: BidElastic BidServer cuts computational costs; BidElastic Intelligent Auto Scaler (IAS) streamlines management and monitoring of your cloud provider. The BidServer uses simulation and advanced optimization routines to anticipate market movements and to design a robust infrastructure for cloud providers’ spot instances. To match demand in volatile workloads, you need to scale your cloud infrastructure dynamically. But that’s easier said than done. There’s a traffic spike and only 10 minutes later are new servers online. In the meantime you’ve lost customers who may never come back. To scale your resources properly you need to be able to predict computational workloads. CloudPredict does exactly that; it uses machine learning to predict computational workloads. -
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Alibaba Cloud Server Load Balancer (SLB)
Alibaba Cloud
Server Load Balancer (SLB) provides disaster recovery at four levels for high availability. CLB and ALB support built-in Anti-DDoS services to ensure business security. In addition, you can integrate ALB with WAF in the console to ensure security at the application layer. ALB and CLB support cloud-native networks. ALB is integrated with other cloud-native services, such as Container Service for Kubernetes (ACK), Serverless App Engine (SAE), and Kubernetes, and functions as a cloud-native gateway to distribute inbound network traffic. Monitors the condition of backend servers regularly. SLB does not distribute network traffic to unhealthy backend servers to ensure availability. Server Load Balancer (SLB) supports cluster deployment and session synchronization. You can perform hot upgrades and monitor the health and performance of machines in real-time. Supports multi-zone deployment in specific regions to provide zone-disaster recovery. -
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Amazon EC2 P4 Instances
Amazon
Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.Starting Price: $11.57 per hour -
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OpenSVC
OpenSVC
OpenSVC is an open source software solution designed to enhance IT productivity by providing tools for service mobility, clustering, container orchestration, configuration management, and comprehensive infrastructure auditing. The platform comprises two main components. The agent functions as a supervisor, clusterware, container orchestrator, and configuration manager, facilitating the deployment, management, and scaling of services across diverse environments, including on-premises, virtual machines, and cloud instances. It supports various operating systems such as Unix, Linux, BSD, macOS, and Windows, and offers features like cluster DNS, backend networks, ingress gateways, and scalers. The collector aggregates data reported by agents and fetches information from the site's infrastructure, including networks, SANs, storage arrays, backup servers, and asset managers. It serves as a reliable, flexible, and secure data store.Starting Price: Free -
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Windows Server Failover Clustering
Microsoft
Failover Clustering in Windows Server (and Azure Local) enables a group of independent servers to work together to improve availability and scalability for clustered roles (formerly known as clustered applications and services). These nodes are interconnected via hardware and software, and if one node fails, another assumes its roles through an automated failover process. Clustered roles are actively monitored and, if they stop functioning, are restarted or migrated to maintain service continuity. The feature also supports Cluster Shared Volumes (CSVs), which provide a unified, distributed namespace and consistent shared storage access across nodes, reducing service disruptions. Typical uses include high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. Failover Clustering is supported on Windows Server 2016, 2019, 2022, and 2025, and in Azure Local environments. -
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Amazon EC2 Trn2 Instances
Amazon
Amazon EC2 Trn2 instances, powered by AWS Trainium2 chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and diffusion models. They offer up to 50% cost-to-train savings over comparable Amazon EC2 instances. Trn2 instances support up to 16 Trainium2 accelerators, providing up to 3 petaflops of FP16/BF16 compute power and 512 GB of high-bandwidth memory. To facilitate efficient data and model parallelism, Trn2 instances feature NeuronLink, a high-speed, nonblocking interconnect, and support up to 1600 Gbps of second-generation Elastic Fabric Adapter (EFAv2) network bandwidth. They are deployed in EC2 UltraClusters, enabling scaling up to 30,000 Trainium2 chips interconnected with a nonblocking petabit-scale network, delivering 6 exaflops of compute performance. The AWS Neuron SDK integrates natively with popular machine learning frameworks like PyTorch and TensorFlow. -
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Elastigroup
Spot by NetApp
Provision, manage and scale compute infrastructure on any cloud. Save up to 80% on your costs while ensuring SLA and high-availability. Elastigroup is a cluster software, designed to optimize performance and costs. It enables companies of all sizes and verticals to reliably leverage Cloud Excess Capacity to optimize and accelerate workloads and save up to 90% on infrastructure compute costs. Elastigroup makes use of proprietary price prediction technology to deploy reliably onto Spot Instances. By predicting interruptions and fluctuations Elastigroup is able to offensively rebalance clusters to prevent interruption. Elastigroup reliably leverages excess capacity across all major cloud providers such as EC2 Spot Instances (AWS), Low-priority VMs (Microsoft Azure) and Preemptible VMs (Google Cloud), while removing risk and complexity, providing simple orchestration and management at scale. -
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BalanceNG
Inlab Networks
BalanceNG is a reliable and modern multithreading software load balancer developed by Inlab Networks. Available for Linux and also macOS, BalanceNG easily integrates into data center networks and offers top quality packet processing performance, making this solution the ideal choice for hosting companies, network operators, and telco product designers. BalanceNG by Inlab Networks comes with a highly specialized IP stack for IPv6 and IPv4 and an independent active/passive cluster environment that is based on VRRP and the "bngsync" session table synchronization protocol. Operating BalanceNG with two nodes implements high availability on top of the Direct Server Return (DSR) topology. Direct Server Return (DSR) ist the most popular BalanceNG topology. It’s ultra-fast at wire speed (verified up to 10Gbit) and easy to set up. You are expecting tens of millions of concurrent sessions? No problem.Starting Price: $350 one-time payment -
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CloudNatix
CloudNatix
CloudNatix can connect to any infrastructure, anywhere, from cloud to the data center to edge, across VM, Kubernetes and managed Kubernetes clusters. Unifying your federated pools of resources into a single planet-scale cluster, all via an easy to consume SaaS service. The global dashboard provides a common view of cost and operational intelligence across your multiple cloud & Kubernetes environments, including AWS, EKS, Azure, AKS, Google Cloud, GKE, and many more. The universal view across all clouds allows you to drill down into the details of every resource including individual instances, and namespaces across all regions, availability zones, and hypervisors. CloudNatix provides a unified cost-attribution view across your multiple public, private and hybrid clouds as well as multiple Kubernetes clusters and namespaces. CloudNatix provides automation for costs you choose to attribute to your business units. -
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Tencent Container Registry
Tencent
Tencent Container Registry (TCR) offers secure, dedicated, and high-performance container image hosting and distribution service. You can create dedicated instances in multiple regions across the globe and pull container images from the nearest region to reduce pulling time and bandwidth costs. To guarantee data security, TCR features granular permission management and access control. It also supports P2P accelerated distribution to break through the performance bottleneck due to concurrent pulling of large images by large-scale clusters, helping you quickly expand and update businesses. You can customize image synchronization rules and triggers, and use TCR flexibly with your existing CI/CD workflow to quickly implement container DevOps. TCR instance adopts containerized deployment. You can dynamically adjust the service capability based on actual usage to manage sudden surges in business traffic. -
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Verda
Verda
Verda is a frontier AI cloud platform delivering premium GPU servers, clusters, and model inference services powered by NVIDIA®. Built for speed, scalability, and simplicity, Verda enables teams to deploy AI workloads in minutes with pay-as-you-go pricing. The platform offers on-demand GPU instances, custom-managed clusters, and serverless inference with zero setup. Verda provides instant access to high-performance NVIDIA Blackwell GPUs, including B200 and GB300 configurations. All infrastructure runs on 100% renewable energy, supporting sustainable AI development. Developers can start, stop, or scale resources instantly through an intuitive dashboard or API. Verda combines dedicated hardware, expert support, and enterprise-grade security to deliver a seamless AI cloud experience.Starting Price: $3.01 per hour -
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Alibaba Auto Scaling
Alibaba Cloud
Auto Scaling is a service to automatically adjust computing resources based on your volume of user requests. When the demand for computing resources increase, Auto Scaling automatically adds ECS instances to serve additional user requests, or alternatively removes instances in the case of decreased user requests. Automatically adjusts computing resources according to various scaling policies. Supports manual scale-in and scale-out, which offer you flexibility to control resources manually. During peak periods, automatically adds additional computing resources to the pool. When user requests decrease, Auto Scaling automatically releases ECS resources to cut down your costs -
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Traefik
Traefik Labs
What is Traefik Enterprise Edition? TraefikEE is a cloud-native load balancer and Kubernetes ingress controller that eases networking complexity for application teams. Built on top of open source Traefik, TraefikEE brings exclusive distributed and high-availability features combined with premium bundled support for production grade deployments. Split into proxies and controllers, TraefikEE supports clustered deployments to increase security, scalability and high availability. Deploy applications anywhere, on-premises or in the cloud, and natively integrate with top-notch infrastructure tooling. Save time and give better consistency while deploying, managing, and scaling applications by leveraging dynamic and automatic TraefikEE features. Improve the application development and delivery cycle by giving developers the visibility and ownership of their services. -
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Eddie
Eddie
Eddie is a high availability clustering tool. It is an open source, 100% software solution written primarily in the functional programming language Erlang (www.erlang.org) and is available for Solaris, Linux and *BSD. At each site, certain servers are designated as Front End Servers. These servers are responsible for controlling and distributing incoming traffic across designated Back End Servers, and tracking the availability of Back End Web Servers within the site. Back End Servers may support a range of Web servers, including Apache. The Enhanced DNS server which provides load balancing and monitoring of site accessibility for geographically distributed web sites. This gives round the clock access to the entire available capacity of the web site, no matter where it is located." The Eddie white papers describe the need for products such as Eddie, and outlines the Eddie approach. -
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PolarDB
Alibaba Cloud
PolarDB is designed for business-critical database applications that require fast performance, high concurrency, and automatic scaling. You can scale up to millions of queries per second and 100 TB per database cluster with 15 low latency read replicas. PolarDB is six times faster than standard MySQL databases, and delivers the security, reliability, and availability of traditional commercial databases at 1/10 the cost. PolarDB embodies the proven database technology and best practices honed over the last decade that supported hyper-scale events such as the Alibaba Double 11 Global Shopping Festival. To support the developer community, we are introducing Always Free ApsaraDB for PolarDB (all three variations) when you use no more than 1 instance (2-core and 8GB of memory), and up to 50GB of storage. Register now and renew each month to continue this benefit. Regional resource availability is subject to change. -
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PowerVille LB
Dialogic
The Dialogic® PowerVille™ LB is a software-based high-performance, cloud-ready, purpose built and fully optimized network traffic load-balancer uniquely designed to meet challenges for today’s demanding Real-Time Communication infrastructure in both carrier and enterprise applications. Automatic load balancing for a variety of services including database, SIP, Web and generic TCP traffic across a cluster of applications. High availability, intelligent failover, contextual awareness and call state awareness features increase uptime. Efficient load balancing, resource assignment, and failover allow for full utilization of available network resources, to reduce costs without sacrificing reliability. Software agility and powerful management interface to reduce the effort and costs due to operations and maintenance. -
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Barracuda Load Balancer ADC
Barracuda Networks
The Barracuda Load Balancer ADC is ideal for organizations looking for a high-performance, yet cost-effective application delivery and security solution. Highly demanding enterprise networks require full-featured application delivery controller that optimizes application load balancing and performance while providing protection from an ever-expanding list of intrusions and attacks. The Barracuda Load Balancer ADC is a Secure Application Delivery Controller that enables Application Availability, Acceleration and Control, while providing Application Security Capabilities. Available in hardware, virtual and cloud instances, the Barracuda Load Balancer ADC provides advanced Layer 4 and Layer 7 load balancing with SSL Offloading and Application Acceleration. The built-in Global Server Load Balancing (GSLB) module allows you to deploy your applications across multiple geo-dispersed locations. The Application Security module ensures comprehensive web application protection.Starting Price: $1499.00/one-time -
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AWS Nitro System
Amazon
The AWS Nitro System is the foundation for the latest generation of Amazon EC2 instances, enabling AWS to innovate faster, reduce costs for customers, and deliver enhanced security and new instance types. By reimagining virtualization infrastructure, AWS has offloaded functions such as CPU, storage, and networking virtualization to dedicated hardware and software, allowing nearly all server resources to be allocated to instances. This architecture comprises several key components: Nitro Cards, which offload and accelerate I/O for functions like VPC, EBS, and instance storage; the Nitro Security Chip, providing a minimized attack surface and prohibiting administrative access to eliminate human error and tampering; and the Nitro Hypervisor, a lightweight hypervisor that manages memory and CPU allocation, delivering performance nearly indistinguishable from bare metal. The Nitro System's modular design allows for rapid delivery of EC2 instance types. -
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Akamai Cloud
Akamai
Akamai Cloud (formerly Linode) is the world’s most distributed cloud computing platform, designed to help businesses deploy low-latency, high-performance applications anywhere. It delivers GPU acceleration, managed Kubernetes, object storage, and compute instances optimized for AI, media, and SaaS workloads. With flat, predictable pricing and low egress fees, Akamai Cloud offers a transparent and cost-effective alternative to traditional hyperscalers. Its global infrastructure ensures faster response times, improved reliability, and data sovereignty across key regions. Developers can scale securely using Akamai’s firewall, database, and networking solutions, all managed through an intuitive interface or API. Backed by enterprise-grade support and compliance, Akamai Cloud empowers organizations to innovate confidently at the edge. -
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Tencent Cloud CVM Dedicated Host
Tencent
Tencent Cloud CVM Dedicated Host (CDH) provides you with exclusive physical server resources that meet the requirements for resource exclusivity, physical isolation, security and compliance. CDH is equipped with Tencent Cloud's virtualized system. Once purchased, CDH can help you flexibly create and manage multiple Cloud Virtual Machine (CVM) instances with custom specs and plan the use of physical resources. CDH provides physical machine-grade exclusive resources which can be independently planned for use to avoid competition from resources of other tenants. CDH can be purchased in just minutes through Tencent Cloud Console or API. CVM instances can be allocated to the specified CDH and independently planned for the use of host resources. The instance specs support customization, allowing for flexible configuration and breaking the limitations of server specs to ensure business performance while making full use of physical server resources. -
40
nOps
nOps.io
FinOps on nOps We only charge for what we save. ✓Continuous Cloud waste reduction ✓Continuous Container cluster optimization ✓Continuous RI management to save up to 40% over on-demand resources ✓Spot Orchestrator to reduce cost over on-demand resources Most organizations don’t have the resources to focus on reducing cloud spend. nOps is your ML-powered FinOps team. nOps reduces cloud waste, helps you run workloads on spot instances, automatically manages reservations, and helps optimize your containers. Everything is automated and data-driven.Starting Price: $99 per month -
41
Mempool
Mempool
Building a mempool and blockchain explorer for the Bitcoin community, focusing on the transaction fee market and multi-layer ecosystem, without any advertising, altcoins, or third-party trackers. Mempool can be self-hosted on a wide variety of your own hardware, ranging from a simple one-click installation on a Raspberry Pi distro, all the way to an advanced high availability cluster of powerful servers for a production instance. -
42
Galaxy
Galaxy
Galaxy is an open source, web-based platform for data-intensive biomedical research. If you are new to Galaxy start here or consult our help resources. You can install your own Galaxy by following the tutorial and choosing from thousands of tools from the tool shed. This instance of Galaxy is utilizing infrastructure generously provided by the Texas Advanced Computing Center. Additional resources are provided primarily on the Jetstream2 cloud via ACCESS, and with support from the National Science Foundation. Quantify, visualize, and summarize mismatches in deep sequencing data. Build maximum-likelihood phylogenetic trees. Phylogenomic/evolutionary tree construction from multiple sequences. Merge matching reads into clusters with TN-93. Remove sequences from a reference that are within a given distance of a cluster. Perform maximum-likelihood estimation of gene essentiality scores.Starting Price: Free -
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HAProxy Enterprise
HAProxy Technologies
HAProxy Enterprise is the industry’s leading software load balancer. It powers modern application delivery at any scale and in any environment, providing the utmost performance, observability and security. Load balance by round robin, least connections, URI, IP address and several hashing methods. Make advanced decisions based on any TCP/IP information or HTTP attribute with full logical operator support. Send requests to specific application clusters based on URL, domain name, file extension, client IP address, health state of backends, number of active connections, SSL client certificate, and more. Extend and customize HAProxy with Lua scripts that have access to the request/response pipeline. Maintain users' sessions based on TCP/IP information or any property of the HTTP request (cookies, headers, URI, and more). The world’s fastest, and most widely used software load balancer. -
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Replex
Replex
Configure policies to manage and govern cloud-native environments without impacting agility or speed. Allocate budgets to individual teams or projects, keep track of costs, govern resource usage and generate real-time alerts for cost overruns. Track the complete asset life cycle from ownership and creation to modification and termination. Understand detailed resource consumption patterns and costs associated with decentralized development teams while engaging developers in creating value with each and every deployment. Ensure microservices, containers, pods, and Kubernetes clusters have the most efficient resource footprint possible without compromising reliability, availability, or performance. Replex allows you to right size Kubernetes nodes and cloud instances based on historical and real-time utilization data and is a single source of truth for all performance-critical metrics. -
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Amazon EC2 Auto Scaling
Amazon
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. -
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EC2 Spot
Amazon
Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads. Because Spot Instances are tightly integrated with AWS services such as Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline and AWS Batch, you can choose how to launch and maintain your applications running on Spot Instances. Moreover, you can easily combine Spot Instances with On-Demand, RIs and Savings Plans Instances to further optimize workload cost with performance. Due to the operating scale of AWS, Spot Instances can offer the scale and cost savings to run hyper-scale workloads.Starting Price: $0.01 per user, one-time payment, -
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Elastic GPU Service
Alibaba
Elastic computing instances with GPU computing accelerators suitable for scenarios (such as artificial intelligence (specifically deep learning and machine learning), high-performance computing, and professional graphics processing). Elastic GPU Service provides a complete service system that combines software and hardware to help you flexibly allocate resources, elastically scale your system, improve computing power, and lower the cost of your AI-related business. It applies to scenarios (such as deep learning, video encoding and decoding, video processing, scientific computing, graphical visualization, and cloud gaming). Elastic GPU Service provides GPU-accelerated computing capabilities and ready-to-use, scalable GPU computing resources. GPUs have unique advantages in performing mathematical and geometric computing, especially floating-point and parallel computing. GPUs provide 100 times the computing power of their CPU counterparts.Starting Price: $69.51 per month -
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IBM Log Analysis
IBM
You’re using log services. But your teams want cluster-level insight. Save time and gain deeper insight with the IBM® Log Analysis service. Get integrations to many cloud-native runtimes and environments. Get collection, log tailing and blazing fast log search. Get natural language query and search retention up to 30 days. Configure cluster-level logging for a Kubernetes cluster to get access to log types for worker, pod, application and network. Monitor this data from a wide range of sources. Monitor and manage Ubuntu logs in a centralized logging system on IBM Cloud®. DevOps can archive logs from an IBM Log Analysis instance. The logs are archived into a bucket in an IBM Cloud Object Storage instance. Aggregate all log data into a central location. Expect Pager Duty, Slack, webhooks and more. Supports more than 30 integrations and ingestion sources. Natural language query and pay-per-GB pricing. -
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Yandex Data Proc
Yandex
You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.Starting Price: $0.19 per hour -
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Tencent Cloud Virtual Machine
Tencent
To meet your ever-changing business needs, you can quickly add or delete CVMs in minutes. By defining relevant policies, you can ensure that your CVM instances will be seamlessly scaled up during periods of higher demand to ensure application availability and scaled down during periods of lower demand to save costs. CVM offers a wide variety of instances, operating systems and software packages. You can flexibly adjust each instance’s CPU, memory, disk and bandwidth configuration to match your applications. CVM supports multiple Linux distribution versions and Windows Server versions. You can access Tencent Cloud CVM as an administrator with full control. Using various tools such as the Tencent Cloud console and APIs, you can connect to your CVM instances and perform operations like restarting and modifying your network configurations.
