Arcentry Description
Arcentry empowers users to gain a comprehensive view of their cloud infrastructure across AWS, Azure, and Google Cloud, offering real-time insights regardless of scale. Users can design stunning infrastructure diagrams with a vast array of pre-built and customizable components at their disposal. The platform allows for the visualization of metrics from cloud services and HTTP endpoints, all within the framework of the user's architecture. With Arcentry's robust REST API, every detail of the infrastructure map can be manipulated in real-time. Additionally, users can create expansive monitoring dashboards, export visuals, or seamlessly integrate 3D diagrams into their applications or blog entries, enhancing the overall presentation of their cloud environments. This versatility makes Arcentry an invaluable tool for effective cloud management.
Arcentry Alternatives
Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Cloudcraft
Quickly design a professional architecture diagram in just minutes using Cloudcraft's visual designer, which is specifically optimized for AWS and features intelligent components. Whether you are launching a new project or integrating an existing AWS setup, Cloudcraft provides the quickest and simplest means to refine your designs. Utilize smart components to effectively represent essential services like EC2, ELB, Lambda, RDS, DynamoDB, Kinesis, Redshift, CloudFront, and Route 53, among others. By clicking on any component, you can access its current configuration and associated costs. Effortlessly navigate to the AWS Web Console to view live resources and their tags. The platform is designed for teamwork, allowing you to share and collaboratively edit diagrams online, as well as export them for documentation, wikis, and presentations. You can also annotate your diagrams with relevant documentation and directly associate it with your AWS resources. Avoid the hassle of using standard drawing tools by creating dynamic architectures with Cloudcraft instead of outdated static models. Additionally, you can easily switch between different perspectives or create a unique visual style that reflects your project's needs. By focusing on modeling the actual system architecture rather than relying on generic shapes and arrows, you'll achieve a more accurate representation of your infrastructure.
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Kops.dev
Kops.dev enhances the simplicity of provisioning, administration, and monitoring of infrastructure across various cloud environments. It allows for effortless deployment and management of resources on platforms such as AWS, Google Cloud, and Azure, all through a unified interface. The platform features integrated monitoring solutions like Prometheus, Grafana, and FluentBit, providing users with real-time visibility and log oversight. With built-in support for distributed tracing, it facilitates comprehensive tracking and performance optimization of applications running on microservices. The system automatically configures container registries, manages permissions, and oversees credentials necessary for deploying images within your cluster. YAML configurations are seamlessly handled, minimizing the input required from users while managing service settings effectively. Additionally, it streamlines database setup, which encompasses creating data stores, managing firewalls, and securely linking credentials to service pods. Host attachments and TLS certificates are also automatically configured, ensuring that your services can be securely exposed. This comprehensive approach not only enhances efficiency but also significantly reduces the complexities associated with managing cloud infrastructure.
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Pricing
Pricing Starts At:
$9.90 per month
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Arcentry
Headquarters:
Germany
Website:
arcentry.com
Media
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Product Details
Platforms
Web-Based
Customer Support
Online Support
Arcentry Features and Options
Cloud Management Software
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
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