Catalyst stands out as an end-to-end cloud development ecosystem, going beyond traditional serverless platforms.
Integrates advanced services like QuickML for rapid machine learning, Signals for real-time communication, Job Scheduling for reliable background processing, and Stratus Object Storage for massive data handling.
This holistic approach empowers developers to build scalable, intelligent, and event-driven applications quickly and efficiently all within one unified platform.
Inside the Cookbook
- Core components of Catalyst
- Compute
- Data & storage
- Security & identity management
- Triggers, automation, & communication
- AI & machine learning (Zia services)
- Host & manage
- Catalyst development workflow: From idea to production
- Conclusion
Core components of Catalyst
- Catalyst is a full-stack cloud development platform designed to simplify the complexities of building scalable cloud applications. By abstracting away infrastructure management, Catalyst enables developers to focus entirely on writing application logic and delivering meaningful features to users.
- Its modular architecture includes a rich set of services from serverless computing and storage to AI/ML capabilities, all integrated seamlessly to create robust cloud solutions.
- Catalyst’s architecture is composed of multiple interconnected services that cover the entire cloud application stack.
Compute
At the heart of Catalyst is its serverless compute layer, which offers several ways to run backend code without provisioning or managing servers.
You can write Functions that are triggered by HTTP requests, database events, or scheduled jobs, allowing you to build lightweight microservices or event-driven backends.
Catalyst’s AppSail platform lets you deploy full-stack backend apps built with popular frameworks such as Express or Django etc., while Catalyst handles all operational concerns.
For workflow automation, Catalyst provides Circuits that let you chain functions, APIs, and tasks together using conditional logic to orchestrate complex business processes without writing glue code.
Data & storage
- Applications need flexible data storage, and Catalyst offers options for structured, unstructured, and temporary data.
- The Data Store is a relational database designed with an intuitive interface and robust role-based access control, making it easy to manage your app’s data securely.
- For files, Catalyst provides Stratus Object Storage service, an S3 like Storage service, massively scalable object storage ideal for large datasets such as backups, logs, or multimedia assets.
- To boost performance, an in-memory cache is available to reduce database hits and lower response times.
- Additionally, Catalyst’s Search service lets you perform fast, indexed queries across your data, enhancing the responsiveness of data-heavy applications.
Security & identity management
- Security is baked into Catalyst’s foundation. It supports multiple authentication methods, including Catalyst-native credentials, Zoho accounts, Google sign-ins, and various social logins.
- The API gateway acts as a protective layer, enforcing access controls, applying rate limits, and securing your endpoints against abuse.
- Catalyst also simplifies integration with external services through Connections, which securely manage tokens and authentication lifecycles behind the scenes.
Triggers, automation, & communication
Catalyst empowers applications to be reactive and intelligent by automating task execution and enabling real-time interactions.
Periodic jobs can be scheduled using Job scheduling for activities like report generation or data cleanup.
Signals, our in-house event listener, automatically invokes functions in response to changes across any Catalyst service or user activity.
It supports event triggers from Zoho applications as well as third-party integrations, enabling seamless, real-time workflows across platforms.
The recently introduced Job Scheduling service extends this functionality by providing granular control over background tasks with features like retries, timeouts, and priority management ideal for processing long-running or batch jobs.
For real-time, bi-directional communication, Signals offers an event-driven messaging layer that supports use cases like live chat, dashboards, and collaborative tools. Email and push notifications are also integrated, making it easy to keep users engaged.
AI & machine learning (Zia services)
Catalyst natively integrates AI/ML capabilities under the Zia brand. Without needing deep data science expertise, developers can use AutoML to build and deploy predictive models.
Optical character recognition (OCR) and image moderation services enable automatic extraction of text and content filtering from images.
Text analytics provides insights such as sentiment analysis and keyword extraction. Additionally, face analytics and object detection enable rich media understanding.
QuickML, a new addition, is a no-code ML solution that instantly generates predictive APIs from your datasets, perfect for common tasks like churn prediction or customer segmentation.
Host & manage
Catalyst doesn’t just provide development tools ,it offers operational management as well. Slate our Robust Front end development service that lets you Deploy,Preview and launch frontend assets with version control.
Mobile device management ensures secure distribution of Android, iOS, and Flutter apps. Domain mapping connects your custom domains to Catalyst services.
Comprehensive logging and metrics tools give you real-time visibility into application behavior. Finally, pipelines enable automated continuous integration and delivery, streamlining testing, deployment, and rollback processes.
Catalyst development workflow: From idea to production
Developing on Catalyst follows a smooth, integrated lifecycle that accelerates delivery and simplifies complexity.
Project initialization: You start by creating a Catalyst project either via the web console or the CLI. This project acts as a container for all your application components and supports isolated environments for development and production.
Backend development: Next, you build your backend logic using functions for microservices and event handling. If you need full-stack backend apps, you deploy them with AppSail. For orchestration, you visually chain your backend workflows using Circuits.
Data & storage setup: Design your Data Store schema to match your application's data model. Upload assets to the File Store or the scalable Stratus Object Storage. Configure caching to optimize latency and database load.
Feature integration: Integrate user authentication and manage sessions. Secure APIs behind the API gateway. Automate tasks with Job scheduling and Signals, or advanced Job Scheduling. For real-time features, use Signals to push live updates and messages. Incorporate machine learning with QuickML or AutoML to add predictive intelligence.
Front-end deployment: Deploy web applications using Slate. For mobile, use Catalyst’s MDM to securely distribute native or hybrid apps. Connect your frontend to the backend using Catalyst SDKs available for web, iOS, Android, and Flutter.
Testing & debugging: Test your application in the development environment with rich logging and metrics. Use the function tester to validate business logic and simulate user interactions to ensure integration and security.
Production deployment: When ready, promote your project build to production. Catalyst automatically scales resources and manages uptime without manual intervention.
Monitoring & iteration: Continuously monitor app health through real-time logs and usage metrics. Automate deployment pipelines to push incremental updates rapidly. Use monitoring insights to refine your app and optimize performance.
We've seen how the platform offers a wide range of services, QuickML, Zia, Backend as a Service, Serverless Functions, Job Scheduling, Signal Event Management, and Stratus Object Storage, that empower you to build, scale, and manage powerful applications. All of these features help you build robust and scalable applications with minimal overhead.
Conclusion