AdroitLogic Integration Platform Server (IPS) Description
With just a few clicks, you can effortlessly deploy multiple ESB instances on the Integration Platform. You can also monitor and troubleshoot both singular instances and entire clusters through a centralized dashboard. The ESB instances run in lightweight Docker containers, enhancing resource efficiency and responsiveness compared to traditional virtual machines. Leveraging the robust Kubernetes framework, the platform quickly identifies and restarts any failed instances within seconds. You have the flexibility to scale computing power by adding or removing physical or virtual machines without affecting existing components. The IPS dashboard allows for streamlined management of ESB clusters, projects, configurations, and user permissions, alongside monitoring statistics and debugging instances. Additionally, you can integrate project-specific dashboards to effectively oversee and manage the platform and individual projects from one cohesive interface. This unified approach not only simplifies management but also enhances overall operational efficiency.
AdroitLogic Integration Platform Server (IPS) Alternatives
Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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Tencent Cloud Load Balancer
A CLB cluster is made up of four physical servers, achieving a remarkable availability rate of up to 99.95%. Even in scenarios where only a single CLB instance remains operational, it is capable of handling more than 30 million concurrent connections. The system is designed to swiftly eliminate any malfunctioning instances while retaining healthy ones, ensuring the backend server's continuous functionality. Additionally, the CLB cluster can flexibly scale the service capacity of the application in response to business demand, automatically generating and releasing CVM instances via the Auto Scaling dynamic scaling group. Complementing these capabilities is a dynamic monitoring system along with a billing mechanism that tracks usage down to the second, alleviating the need for manual resource management or forecasting. This streamlined process not only optimizes resource allocation but also significantly reduces the potential for waste, allowing businesses to focus on growth rather than infrastructure management. Ultimately, the combination of these advanced features promotes a more efficient and responsive computing environment.
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JupyterHub
JupyterHub allows users to establish a multi-user environment that can spawn, manage, and proxy several instances of the individual Jupyter notebook server. Developed by Project Jupyter, JupyterHub is designed to cater to numerous users simultaneously. This platform can provide notebook servers for a variety of purposes, including educational environments for students, corporate data science teams, collaborative scientific research, or groups utilizing high-performance computing resources. It is important to note that JupyterHub does not officially support Windows operating systems. While it might be possible to run JupyterHub on Windows by utilizing compatible Spawners and Authenticators, the default configurations are not designed for this platform. Furthermore, any bugs reported on Windows will not be addressed, and the testing framework does not operate on Windows systems. Although minor patches to resolve basic Windows compatibility issues may be considered, they are rare. For users on Windows, it is advisable to run JupyterHub within a Docker container or a Linux virtual machine to ensure optimal performance and compatibility. This approach not only enhances functionality but also simplifies the installation process for Windows users.
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Integrations
Company Details
Company:
AdroitLogic
Year Founded:
2010
Headquarters:
Sri Lanka
Website:
www.adroitlogic.com/products/ips/
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Product Details
Platforms
Mac
Linux
Types of Training
Training Docs
Training Videos
Customer Support
Business Hours
Online Support
AdroitLogic Integration Platform Server (IPS) Features and Options
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