Release Notes
ZEBLOK COMPUTATIONAL AI-MICROCLOUD RELEASE NOTES
November 2024
1. KMS Implementation for Datasets in Basic Edition
Improved Data Security: With Key Management Service (KMS) now integrated into the Basic SKU, dataset encryption and key management have been significantly enhanced.
Seamless Data Access: Users can securely manage encryption keys and access datasets without compromising performance.
2. Inference HUB in Ai-MicroCloud®
Centralized Model Management: Introducing Inference HUB, a dedicated space in AiM for hosting, managing, and deploying inference models.
Enhanced Collaboration: Share, update, and deploy AI models with ease, ensuring faster time-to-market for your AI solutions.
SDK Compatibility: Fully integrated with the updated SDK for smooth development and deployment workflows.
3. Bug Fix for Pipeline: Delete Feature and Persistent Logs
UI Improvements: The delete feature in the Pipeline UI has been fixed, ensuring a smoother and more reliable user experience.
Accurate Logs: Logs are now persistent, providing comprehensive insights into pipeline activities and debugging.
4. SDK Update to Support Inference HUB
Streamlined Workflows: The SDK has been upgraded to seamlessly integrate with the new Inference HUB.
Improved Compatibility: Simplifies interactions between datasets, models, and inference services, enabling smoother development cycles.
October 2024
Platform as a Service (PaaS) Enhancements
PVC/Storage Graph Integration into Monitoring:
We’ve integrated Persistent Volume Claims (PVC) and storage usage into our monitoring graphs, giving you better visibility into storage resources and allocations.
ZBL-CLI Release Management:
We’ve streamlined the release management process for ZBL-CLI, making version control and deployments more efficient, reducing manual steps and simplifying updates.
Multiple Delete Option:
You can now delete multiple resources at once, significantly speeding up resource management tasks and improving efficiency.
MINIO in High Availability (HA) for On-Premise Setup:
We’ve configured MINIO in HA for on-premise environments, providing increased fault tolerance and resilience, ensuring continuous uptime and data availability.
URL Authentication for MS/WS (Environment Authentication):
We’ve added environment-based URL authentication for Microservices (MS) and Workstations (WS), offering enhanced security by ensuring access is limited to specific environments.
NGINX Approach to Utilize Refresh Token (URL Authentication):
Our NGINX setup now utilizes refresh tokens for URL authentication, adding an additional layer of security by validating tokens before granting access to services.
Notifications and Alerts on Resource Spiking and Threshold Reaching:
Stay informed with real-time notifications and alerts when resources spike or reach defined thresholds, enabling proactive resource management and faster response times.
Multiple Services for Additional Ports:
When adding extra ports, the system now creates multiple services automatically, providing more flexibility in managing network traffic.
Automatic Bucket Mounting on MS/WS for User-Onboarded Images (S3/Blob/MINIO):
We’ve enabled automatic bucket mounting for user-onboarded images across S3, Blob, and MINIO, streamlining cloud storage integration for Microservices and Workstations.
IaaS Enhancements
Network Policies Implementation:
With the introduction of network policies, traffic between pods and services is now more controlled, enhancing overall security and enabling more granular control over network communications.
Module Verification Script (Testing Only):
We’ve introduced a Module Verification Script for testing purposes, ensuring that newly developed features are thoroughly verified before full integration.
SaaS Enhancements
SDK Validation Checks, Dataset, and Multi-File Upload Feature:
Our SDK now includes validation checks to ensure data integrity, along with the ability to manage datasets and upload multiple files simultaneously, offering greater flexibility in data handling.
Last updated
Was this helpful?