You can now create a Virtual Private Cloud (VPC) in your TIR project from Network → VPC. A VPC is a private network with an IPv4 address range you choose: resources on the same VPC reach each other over private addresses, with no public IP and no internet hop, and VPCs are isolated from one another. There is no routing, gateway or address assignment to set up — a VPC is ready to use as soon as it shows Active.
VPCs can also be managed through the TIR API — list, create, rename and delete VPCs, see the resources attached to a VPC, and validate a CIDR block before you create one.
Two new vLLM versions — v0.27.0 and v0.28.0 — are now available in Model Endpoints, alongside the existing versions.
Select the version you want when you create or update an endpoint to pick up the latest vLLM performance improvements and broader model support. Existing endpoints keep running on the version they were deployed with until you change it.
Load-Aware Routing for Inference Deployments
New
Inference
Load-Aware Routing is now available on TIR Inference Deployments (Model Endpoints). Rather than distributing requests evenly across the pool, the platform checks how busy each model server replica is and sends every incoming request to the one best able to handle it at that moment. By steering traffic away from replicas that are already saturated, Load-Aware Routing keeps response times consistent even when traffic arrives in bursts. It is managed entirely by the platform, with no weights or thresholds to tune and no changes required to your deployment or client code.
Slurm Configuration and Container Jobs on Training Clusters
New
Training Cluster
Training Clusters now expose their Slurm configuration directly in the console. Open Slurm Configuration from the Actions menu on a running cluster to append your own settings to slurm.conf, define up to 20 custom partitions over the nodes you choose, and add prolog and epilog scripts that run around every job on the workers and on the controller. Applying a change rewrites slurm.conf and reloads the scheduler — running jobs keep going, queued jobs pick up the new settings, and prolog and epilog changes take effect on the next job.
Custom partitions let you carve the node pool into named queues with their own time limits, defaults and membership — a short-jobs queue for interactive work, for example, so debugging never waits behind a multi-day training run. Partitions are added from the Cluster Overview tab once the cluster is running, since a partition selects specific nodes.
Every Training Cluster also runs container images inside Slurm jobs through Enroot and Pyxis. Pass --container-image to srun or sbatch and your job runs in any Docker or OCI image on the allocated GPUs, unprivileged and with no cluster rebuild — so two jobs on the same cluster can use completely different CUDA and framework versions. The documentation has been rewritten around these capabilities, with guides for container jobs, image caching, multi-node training, Slurm configuration, and a full UI reference.
We are introducing Persistent Login User Management, now supported on TIR Slurm Clusters — secure, individual SSH access for your whole team on a Slurm Cluster. Each user gets their own private, dedicated home directory on the cluster's shared storage, with access that persists across pod restarts.
Role-based controls let Owners and Admins add or remove users and groups at any time, and clusters remain fully isolated from one another and the service can be closed at any time, revoking all access while preserving the data on the shared storage.
Parallel File System (PFS) Now Available on Virtual Machines
New
Virtual Machines
TIR Virtual Machines now support Parallel File System (PFS) — high-throughput parallel storage designed for HPC and distributed workloads. PFS distributes data across multiple storage devices to minimize bottlenecks, making it ideal for multi-node training jobs and workloads requiring simultaneous, high-speed access to large datasets.
PFS can be mounted to a VM at any custom path (e.g. /my_pfs) directly from the Parallel File System tab on the VM Details page. The same PFS volume can be mounted across multiple VMs simultaneously. Learn More
DBaaS — Revamped Create Flow
Update
Database
The DBaaS creation flow has been redesigned from 3 steps to 2 steps. Plan selection is now part of the Settings & Details step. The database engine selection screen has a new grid layout. The Summary panel now shows real-time cost breakdown and inline editable fields.
Added new Python runtimes: 3.10, 3.12, 3.13, and 3.14 (Http). Added new Node.js runtimes: Node 22 and Node 24 (Http). Node.js Http runtimes (20/22/24) now use ESM module format (index.mjs) with export const handler syntax.
FortiGate Firewall now uses FortiFlex dynamic licensing. Licenses are automatically provisioned when a firewall is created, paused when powered off, reactivated when powered on, and released when deleted. No manual license key management is required.
Finding help just got a whole lot easier. Our newly redesigned Support section brings everything together in one beautifully streamlined page, so you spend less time searching and more time solving
TIR now offers Virtual Machines (VMs) — full operating system environments, running on the same TIR infrastructure as TIR Instances.
Unlike container-based Instances, TIR VMs give you a dedicated Linux kernel, complete root access, and hardware-level isolation. Install custom kernel modules, configure system daemons, run any Linux distribution, and SSH directly into a stable IP.
Training Cluster v2 Release
Training Cluster
Training Cluster v2 is a major revamp of how you provision, manage, and monitor GPU clusters for distributed training. Cluster creation is now a single unified flow — no more separate deployment step. You can update node count, container images, and configuration in place, without tearing down and recreating the cluster.
v2 uses Slurm as the native job scheduler with full Enroot container support — run any Docker or OCI-compatible image alongside curated pre-built images for NeMo and Megatron-Bridge, complete with getting-started and benchmarking scripts. Clusters support elastic scaling — add nodes to a live cluster without teardown or workload disruption — and are built for high availability, so individual node failures no longer bring down the entire cluster.
Deep observability is built in: a Jobs Dashboard surfaces full squeue visibility without requiring SSH access, real-time GPU and scheduler metrics are overlaid across all nodes, and node-level health monitoring provides per-GPU utilisation, VRAM, temperature, and XID error history — with the ability to trigger a node restart directly from the dashboard.
IAM & API Simplification
IAM
The Team layer has been removed from the TIR platform. Projects are now managed directly under your Account/CRN, eliminating the team hierarchy. Team-level roles have been retired and automatically migrated to project-level roles, and API endpoints have been updated to a service-centric format with project_id passed as a query parameter.
You can now generate SSH key pairs directly from the TIR without using the terminal. When you create a key, the public key is automatically saved to your account and the private key is downloaded as a .pem file. Learn More
Kubernetes Creation UI Revamp
New
Kubernetes
Launching a Kubernetes cluster is now more streamlined. The new single-page interface makes it easier to configure plans, worker node pools, networking, security groups, and encryption with a clearer layout and an always-visible summary panel for quick review before creation.
Receive real-time Alert for Instances, Inference, and Training Clusters via Slack, Webhooks, and Email to keep your team instantly informed of critical events. Ensure faster response and seamless monitoring by integrating notifications directly into your existing workflows. Learn More
Training Cluster Alerts
Training Cluster
Alert Management now extends to Training Clusters. Set precise thresholds on critical metrics including CPU Utilization, Memory Utilization, GPU Temperature, GPU Power, and XID Errors and ensure the right team members are notified immediately when conditions are met, keeping your training jobs stable, monitored, and fully under control. Learn More
Instance Logs
Instance
You can now view real-time logs for your TIR Instances directly from the platform. This helps you debug startup issues, monitor instance activity, and troubleshoot errors without needing to SSH into the instance or contact support.
Node Affinity in Private Cloud
Private Cluster
We are excited to introduce node affinity in our private cloud service. You can now group your nodes under an affinity group and use it to control the node level placement of your Instances and Inference.
Clone Instance
Instance
We are introducing the Clone Instance feature, which allows users to create a new instance by duplicating the configuration of an existing Instance. A new Clone Instance action has been added in the Instance listing menu, enabling users to quickly replicate instance configurations — including image, GPU/CPU plan, storage mounts (Datasets, SFS, PFS), SSH keys, init scripts, and add-ons — without manually setting them up again.
This helps simplify deployments, reduce setup time, and make it easier to create similar instances for testing, scaling, or different environments. Users can review and modify any pre-filled settings before launching the cloned instance.
New vLLM Versions – v0.16.0, v0.17.1, v0.18.0
Inference
We are introducing support for three new vLLM versions — v0.16.0, v0.17.1, and v0.18.0 — in Model Endpoints, expanding the available inference framework options for production deployments.
These updated vLLM versions bring performance improvements, enhanced model compatibility, and new features for serving large language models at scale.
Users can now select from the latest vLLM versions when deploying inference endpoints, enabling access to the newest optimizations and broader model support.
EOS Usage Dashboard — Location-wise Storage Metrics
New
Object Storage
E2E Object Storage now includes an enhanced usage dashboard for customers. Teams can view current storage usage, monthly peak history, and time-series trends, along with per-bucket size history. All metrics can be filtered by region, while the time-series graphs additionally support date range filtering for more granular analysis.
Creating a Node just got easier. The new single-page interface brings all your configuration — OS, plan, networking, storage, and security — into one place, with a live cost summary as you go.
Multi-Instance GPU (MIG) Support in Private Cluster
Private Cluster
Introduced Multi-Instance GPU (MIG) support as part of the Private Cluster offering, enabling secure partitioning of a physical GPU into up to seven isolated GPU instances.
This feature significantly improves GPU utilization and resource efficiency, making it ideal for workloads that do not require the full capacity of an entire GPU.
MIG enables parallel execution of multiple GPU workloads such as instances and inference services on the same physical GPU, improving overall GPU utilization within private clusters.
Alert Management
Instance & Inference
Introduced Alert Management for Instance and Inference services, enabling proactive monitoring through threshold-based triggers and real-time email notifications.
Supported metrics include CPU, Memory, Disk, and Ephemeral Storage utilization, alongside GPU Temperature and Power consumption.
Users can define custom thresholds to automate incident response and eliminate manual oversight, ensuring rapid notification of abnormal resource behavior.
XID Error & Reboot Node Training Cluster
Training Cluster
We are introducing the Cluster Node Reboot capability in the Training Cluster service, which allows users to trigger node-level reboots upon detection of XID (GPU) errors. This action is exposed via cluster-level node monitoring, enabling targeted remediation of faulty nodes. By allowing controlled restarts at the node level, this feature helps maintain cluster health, reduces job disruption, and improves recovery from GPU hardware/driver faults.
Clone Action for Model Endpoints
Inference
We are introducing the Clone Inference feature, which allows users to create a new endpoint by duplicating the configuration of an existing Model Endpoints. A new Clone Inference action has been added in the Inference section, enabling users to quickly replicate endpoint configurations without manually setting them up again. This helps simplify deployments, reduce setup time, and make it easier to create similar endpoints for testing, scaling, or different environments.
CDP Backup Encryption
New
MyAccount
We are introducing CDP Backup Encryption, a new security feature that enables customers to protect their Continuous Data Protection (CDP) backups using a user-defined encryption passphrase. This feature ensures that backup data remains secure and protected from unauthorized access, even if the backup storage is accessed outside the system.
We're excited to introduce GitHub integration for Model Endpoints, enabling seamless deployment directly from GitHub repositories with custom frameworks. You can now deploy model endpoints using code from your GitHub repositories and set up automated restart workflows that trigger on pull request merges, ensuring your inference endpoints always run the latest code. Additionally, you can create GitHub external integrations to securely authenticate and access your repositories using GitHub Personal Access Tokens, streamlining continuous deployment for AI/ML workloads.
New Theme for MyAccount
New
MyAccount
The new MyAccount theme introduces an updated interface designed to enhance the overall user experience. The refreshed design provides improved readability, streamlined navigation, and a modern visual layout across the platform. This update simplifies cloud resource management, improves usability, and ensures a more consistent experience while accessing E2E Cloud services.
Kubernetes Backup & Restore Using Velero and E2E Object Storage
New
Kubernetes
A new comprehensive guide is now available for configuring automated, policy-driven backup and disaster recovery for stateful workloads on E2E Kubernetes. The guide covers Velero installation with E2E Object Storage as the backup backend, PVC annotation for data backup, on-demand and scheduled backups with TTL-based retention, same-cluster rollback, and cross-cluster disaster recovery.
Single Sign-On (SSO) is now available for E2E Networks users on MyAccount. SSO enables secure and seamless authentication across services using centralized identity management, improving access control and user experience.
We are introducing three new models — nemotron-3-nano-30b-a3b, nemotron-nano-12b-v2-vl, and nemotron-speech-streaming-en-0.6b — to link: {'Model Endpoints' : '/docs/tir/Inference/ModelEndpoints/'}, expanding the range of AI capabilities for diverse production workloads. These models are now available for deployment, enabling text, vision-language, and streaming speech inference use cases.
Attach VPC UI Revamp
Network
We have introduced a refreshed and improved UI for the link : {'Attach VPC' : '/docs/tir/network/VPC/'} feature in the link: {'Instance' : '/docs/tir/Nodes/instances/'} and link: {'Inference' : '/docs/tir/Inference/ModelEndpoints/'}
Public Images Support for Instance Creation
Instances
We have added support for Public Images during Instance creation. Along with TIR Pre-built, Base OS, and Custom Images (via Container Registry), you can now launch instances using a public image URL or image name from registries like Docker Hub. This enhancement provides greater flexibility to use community or vendor-maintained images without managing custom builds, enabling faster experimentation and simpler setup.
VPC Connect for Inference
Inference
We have introduced VPC Connect for link: {'Inference' : '/docs/tir/Inference/ModelEndpoints/'}, enabling secure private connectivity between your inference endpoints and resources inside your MyAccount VPC. You can now attach a link: {'Reserved VPC IP' : '/docs/tir/network/VPC/'} to an inference endpoint and access it using a private IP from within the same VPC, eliminating the need for public exposure. This ensures enhanced security, predictable networking, and seamless private access for production inference workloads.
E1 Series Windows Plans Launched in Chennai Region
Node
E1 series is now available for Windows plans in the Chennai region on MyAccount, enabling users to provision cost-efficient Windows nodes with optimized compute performance.
Node Status Uptime Metric for Training and Private Clusters
Training Cluster
We have introduced the link: {'Node Status Uptime Metric' : '/docs/tir/TrainingCluster/training_cluster/#node-monitoring'} for link: {'Training Clusters' : '/docs/tir/TrainingCluster/training_cluster/'} and link: {'Private Clusters' : '/docs/tir/private_cluster/'} , providing real-time visibility into node health and uptime. You can now monitor cluster nodes using detailed metrics such as CPU usage, memory utilization, uptime percentage, and power consumption, enabling better performance monitoring and efficient resource management.
End-to-End SSL Support for Application Load Balancer Backends
Load Balancer
Application Load Balancer now supports end-to-end SSL, enabling encrypted traffic between the load balancer and backend servers. HTTPS backends can use self-signed certificates or certificates issued by an internal CA authority, ensuring secure communication without impacting existing routing or health check behavior.
Users can now define framework-specific link : {'Custom Metrics' : '/docs/tir/Inference/ModelEndpoints/#scaling-policy--custom-metrics'} for autoscaling link : {'inference endpoints' : '/docs/tir/Inference/ModelEndpoints/'}—such as vLLM's running request count. This enables more precise scaling by monitoring the internal state of your inference engine, allowing Large Language Models (LLM) deployments to scale based on actual compute pressure rather than request throughput alone.
Security Group Rule Configuration at Creation
Network
Users can now add inbound and outbound rules during link : {'security group creation' : '/docs/tir/network/Security_Group/#creating-a-new-security-group'} . This enhancement simplifies the workflow by allowing traffic rules to be configured upfront, reducing the need for additional edits after the security group is created and improving overall setup efficiency.
Enhanced Task History and Usage Reporting for CDP Backup
CDP Backup
We have enhanced CDP Backup to improve visibility into backup and restore operations. Backup and Restore Task History now display accurate start time, end time, and duration in IST. A new Backup Usage Report provides insights into total and incremental CDP usage, with support for date range filtering and CSV export, improving transparency and monitoring.
DBaaS service logs are now exported to EOS-based object storage for improved durability and long-term retention. This change does not impact database performance or availability. Existing access controls continue to apply.
Training Cluster UI Revamp
Training Cluster
We’ve introduced a refreshed Training Cluster UI to make cluster creation and updates more intuitive. The new design streamlines workflows, improves clarity across steps, and reduces friction during configuration and modifications.
Private Cluster UI Revamp in Services (Instances & Inference)
Private Cluster
We’ve enhanced the Private Cluster experience for both Inference and Instance creation. A dedicated Private Cluster tab is now visible, making cluster selection more discoverable, improving configuration visibility, and providing a more consistent and streamlined creation workflow.
New Theme for TIR
General
We’ve introduced a refreshed black-and-white theme across E2E TIR, designed to deliver a cleaner and more modern experience. The updated interface improves readability, enhances contrast, and reduces visual clutter, making navigation simpler and more intuitive. You’ll notice a more streamlined look across key workflows, helping you stay focused on what matters most.
CIDR and IP Whitelisting Support in Security Groups
Security Group
We are excited to announce support for standard CIDR notation in Security Groups, along with the ability to whitelist your own IP address. This improvement provides finer-grained control over inbound and outbound traffic, making it easier to restrict access to trusted networks and enhance overall security.
Security Groups now support the UDP protocol for both inbound and outbound rules, enabling seamless configuration for UDP-based applications and services. This allows customers to securely configure and run UDP-based workloads that were previously restricted, improving compatibility with real-time and performance-sensitive applications while maintaining fine-grained network control.
Sarvam Translate, IndicF5 and Indic Parler-TTS
GenAI API
We are excited to announce that Sarvam Translate, IndicF5, and Indic Parler-TTS are now live. Build next-gen experiences using structure-preserving translation, zero-shot voice cloning, and style-controllable text-to-speech.
The Combined Scheduled Snapshot feature for a node and its attached volumes is now available, enabling automatic snapshot creation at predefined intervals. Users can choose a preferred execution time window and optionally include attached volumes. Snapshot schedules can be viewed, edited, or disabled at any time from the Snapshot section. This helps ensure regular backups with minimal manual effort.
Reserved IP Support for Training Cluster's Deployments
Training Cluster
We have introduced Reserved IP functionality for Training Cluster Deployments, enabling you to attach or detach a Reserved IP directly to an existing deployment for stable and persistent connectivity. Additionally, the Floating IP assigned during deployment creation can now be converted into a Reserved IP, allowing you to retain and reuse the same IP address even after recreation. This enhancement gives you greater flexibility, consistency, and control over network access for your deployment workloads.
Private Cluster Management
Private Cluster
RBAC has been introduced for Private Clusters, giving IAM Admins and Owners full control over cluster lifecycle and node management, while other users have scoped, team-based and project-based access. This ensures secure governance, clear visibility, and efficient multi-team collaboration with predictable cost and resource isolation.
We have introduced the Reserve VPC IP feature which allows you to reserve a private IP from an existing VPC created in MyAccount and use it with TIR Instances (Nodes). This feature enables secure and private communication between your resources and the selected VPC without using public IPs. You can attach or detach the reserved VPC IP directly from instance actions the Network & Security section or the Reserved IP page. The VPC IP remains dedicated to your VPC and can be deleted when it is no longer in use giving you full control over private IP management. This helps simplify VPC based networking and build more secure and predictable network architectures.
PostgreSQL Read Replica Promotion
DBaaS
We are excited to introduce a new feature that enables the promotion of a PostgreSQL DBaaS Read Replica to a fully independent cluster.
We have introduced a new feature that allows users to create Read Replicas in regions different from their primary DBaaS. This enhancement makes cross-region scaling easier and ensures smooth replication.
We’re excited to introduce the ability to transfer Reserved IPs between projects, providing greater flexibility in resource management.
Enhanced Snapshot Scheduling Options
Schedule Snapshot of Nodes,Volume,SFS And DBaaS
We have also introduced enhanced scheduling options for snapshots, allowing users to automate snapshot creation on a Daily, Weekly, or Monthly basis—including support for selecting specific days, dates, and even the Last Day of the month—providing greater control and flexibility in managing backup operations.
We have also introduced a new feature that enables users to increase the root storage size of E1 Series Nodes, offering greater flexibility in managing storage requirements based on their workload needs.
We have introduced a new feature that allows users to easily attach or detach security groups with the Kubernetes. This enhancement provides better network control, improved workload isolation, and simplified management of security policies across clusters.
We’re excited to announce Flexible Plan Upgrades for DBaaS — both Hourly and Committed.Easily scale CPU, RAM, and storage as your workloads grow, ensuring optimal performance and cost efficiency with seamless plan upgrades.
Inference UI Revamp
Inference
We have revamped the Inference Model UI into a single-page creation flow. The new design consolidates all configuration options into a single unified interface, making the model setup process faster, simpler, and more seamless.
We've added an Activity Timeline feature to Autoscale, enabling users to view detailed activity logs and track scaling events for better transparency and monitoring.
Configure the security group for the Load Balancer to control inbound and outbound traffic. Ensure only required ports (such as HTTP/HTTPS) are allowed and restrict access to trusted networks for enhanced security.
We are excited to introduce the Export Image of Node, which allows users to effortlessly transfer node images across regions. Users can export an image from from Delhi to Chennai by choosing the desired destination region.
We are thrilled to introduce the Export Volume feature in Volume, which enables users to seamlessly transfer volumes from Delhi to other regions. Users can export a volume from Delhi to Chennai by selecting the desired destination region.
We’re excited to introduce new managerial roles and group management in AI Labs. This update allows admins to easily add users, manage courses, and share datasets among organization members. It also includes a new Free Up Resources feature, giving you smarter control and improved efficiency while managing AI Lab environments.
Kubernetes now allows users to choose a Custom VPC Subnet when configuring their cluster. Users can select the subnet associated with their Custom VPC.
You can now attach or detach Security Groups to Nodes and Inference to control inbound and outbound traffic. Security Groups can be updated or removed at any time, allowing for flexible network security management.
Support for Custom CIDR VPC with Subnet Option in Load Balancer
Load Balancer
Load Balancer now supports Custom CIDR and E2E-Provided IPv4 CIDR. This feature allows you to choose the subnet associated with your VPC, providing more control over your network configuration.
Introducing Model Versioning for Inference Models! Take control like never before — you can now choose from multiple versions of each inference model, giving you greater flexibility, precision, and customization for your use cases.
We are introducing IAM User Groups, a feature that allows you to manage multiple users as a single group. You can assign roles, policies, and project access to the group, simplifying permissions management and ensuring consistent access control across your projects
We are introducing VPC Peering, which is a networking connection that allows two Virtual Private Clouds (VPCs) to communicate and route traffic between them securely using private IPv4 addresses.
We’ve added an Activity Timeline feature to Kubernetes, providing a clear chronological view of all actions performed. Each entry includes timestamps and success/failure status, making it easier to track and review your cluster’s operational history.
Support for Custom CIDR VPC with Subnet Option in DBaaS
DBaaS
DBaaS now supports both Custom CIDR and E2E-Provided IPv4 CIDR. With Custom CIDR, you can select the subnet linked to your VPC for greater flexibility.
AI Labs Hourly Plans
AI Labs
We’re beyond excited to roll out AI Labs Hourly Plans with a powerful new Start-Stop feature for courses. This update gives you greater flexibility, smarter control over your learning, and the ability to save costs while enjoying a seamless, on-demand AI Labs experience like never before.
We’ve introduced the ability to upgrade plans for committed nodes in addition to hourly nodes. This enhancement provides more flexibility to adjust your resources as your workload demands grow, without being restricted to the original commitment.
We’re excited to announce that you can now import images directly from a private EOS bucket by providing the bucket name along with Access Key and Secret Key.
Introducing support for multiple VPC attachments on a node — You can now attach up to three VPCs per node, with a maximum of two private IPs per VPC, allowing greater flexibility in managing network connectivity.
We are thrilled to announce the release of Marketplace, a comprehensive cloud platform designed to connect vendors and buyers—empowering rapid deployment of third-party applications, virtual machines, containers, SaaS, and licensed solutions directly on E2E Cloud infrastructure.
Introducing a new feature that enables bulk prompt uploads, parallel processing, and progress tracking through async history. Currently, this feature is supported only for text-to-text models.
We’re excited to introduce encryption support, adding an extra layer of security to your data. You can now launch Instances(Nodes), Vector Databases, and Disks with built-in encryption at rest, ensuring your information stays protected.
SFS Size Upgrade Feature
Storage
We’re excited to announce the launch of the SFS Size Upgrade feature! With this update, you can seamlessly expand the size of your Shared File System after creation, giving you the flexibility to scale storage as your needs evolve. No more limitations — grow your storage on demand and keep your workflows running smoothly with SFS!
We are excited to introduce WhatsApp notifications for monitoring alerts. This feature ensures that whenever a predefined monitoring alert, or one configured by the user for a specific service, is triggered, users instantly receive a WhatsApp message, enabling faster awareness and quicker action to resolve issues.
Introducing the OpenAI GPT‑OSS 120B model – a 120 billion parameter, open source friendly version of GPT that delivers state of the art language understanding and generation while remaining fully accessible for community development and integration.
MyAccount - Chennai Region Launch
MyAccount
We're excited to announce that the MyAccount is now available in the Chennai region! This launch expands our reach and ensures improved performance, lower latency, and enhanced support for users in and around Chennai.
Custom CIDR & E2E Provided IPv4 CIDR
VPC
We're thrilled to announce that users now have the flexibility to choose between Custom CIDR and E2E Provided IPv4 CIDR. With the Custom CIDR option, users can create VPCs using private IP ranges and configure subnets for greater control over their network setup.
We are excited to announce the introduction of encryption support for LoadBalancer. This new feature enhances the security of network traffic by allowing users to enable encryption at the time of LoadBalancer creation.
You can now send asynchronous requests using the OpenAI Python SDK. A new command option has been introduced that lets you easily initiate async requests to your model endpoints directly from Python. Whether you're using scripts or interactive shells, this simplifies async handling greatly.
We are excited to announce the introduction of encryption support for SFS (Shared File System). This feature enhances data security by allowing users to enable encryption at the time of SFS creation.
You can now enable encryption for your EOS buckets. When creating a bucket in the E2E Object Storage service, encryption check box is enabled by default-ensuring that all objects stored within are automatically encrypted using E2E-managed keys.
We're thrilled to announce the launch of the Autoscale Encryption feature.This powerful enhancement enables users to protect data on Nodes within Autoscaling Groups using advanced, industry-standard full-disk encryption methods. By enabling Autoscale Encryption, all data at rest on the Nodes is automatically encrypted, ensuring that sensitive information remains secure even in dynamic scaling environments.This feature significantly enhances the security posture of your Autoscaling infrastructure while also helping meet data protection and compliance requirements with ease.
We're excited to announce the launch of Floating IP within Reserve IP. Users can now attach a Floating IP to up to 4 nodes, enabling greater flexibility, high availability, and improved reliability in their network setup.
We're thrilled to announce support for pause or resume alerts on demand using a single action. Useful for temporarily silencing notifications during maintenance or expected changes.
We're thrilled to announce support for alerts on Node Volume Read and Write operations. This helps monitor I/O-heavy nodes and receive notifications when thresholds are crossed.
A new Activity Timeline tab has been introduced in the Audit Logs section of the Node. It presents a clear, chronological view of all actions performed on the node, along with their timestamps and success/failure status indicators.
A new resource dropdown has been added to the Cloud Platform Ticket form. This allows users to optionally select the relevant resource while raising a ticket. Previously, users had to manually specify the resource in the description field.
We're excited to announce support for importing Windows custom images. This feature allows you to bring your own pre-configured Windows images to our platform, enabling faster, consistent, and more flexible deployments.
We're thrilled to announce the launch of FramePack on Instances(Nodes)! Available as a TIR pre-built image, Framepack is a lightweight Python library that helps organize and manage DataFrames as named frames within a single object. It simplifies handling multiple datasets together, making data analysis more structured and efficient. Unleash your creativity with FramePack on TIR today!
DBaaS Encryption
DBaaS
We are excited to announce the launch of the DBaaS Encryption feature. This powerful enhancement enables users to safeguard their database data using advanced, industry-standard encryption techniques. By enabling DBaaS Encryption, all sensitive data stored within your managed databases is securely encrypted at rest, adding an extra layer of protection against unauthorized access. This feature also helps ensure compliance with data security regulations and strengthens the overall security of your DBaaS environment.
We're thrilled to announce the launch of Parallel File System (PFS) on TIR! Parallel File System empowers high-performance computing with fast, scalable, and reliable data access. The support for parallel data access makes it ideal for workloads involving massive datasets, demanding extreme throughput and concurrency. Accelerate your compute-intensive tasks with the blazing speed of Parallel File System on TIR today!
We are excited to announce the launch of the Kubernetes Encryption feature. This powerful enhancement enables users to safeguard data within their Kubernetes clusters using advanced, industry-standard encryption techniques. By enabling Kubernetes Encryption, you can ensure that all sensitive cluster data is securely encrypted at rest, providing an additional layer of protection against unauthorized access. This feature helps you maintain compliance with security regulations and reinforces the overall security of your Kubernetes environment.
We're thrilled to announce the launch of ComfyUI on Instances(Nodes)! Available as a TIR pre-built image, ComfyUI provides a powerful, node-based interface for visual AI workflows—making it easier than ever to experiment with generative AI models. Unleash your creativity with ComfyUI on TIR today!
We're excited to unveil Functions, our Function-as-a-Service (FaaS) platform designed to take the complexity out of deploying and managing backend logic. With Functions, developers can run event-driven functions in a fully serverless environment — no infrastructure to maintain, no servers to provision.
We’re thrilled to announce the release of AI Labs, a purpose-built platform for end customers to foster structured learning, research innovation, and efficient resource management. Designed for professors, researchers, and students. AI Labs transforms traditional labs into dynamic, cloud-powered AI environments.
We are pleased to announce the release of the Node Encryption feature. This new enhancement allows users to secure data at the node level using robust, industry-standard encryption methods. By enabling Node Encryption, you can ensure that sensitive information remains protected throughout its lifecycle, helping you meet compliance requirements and strengthen your overall security posture.
We are pleased to announce the release of the Volume Encryption feature. This powerful new capability enables users to encrypt data at the volume level, providing enhanced security for stored data without compromising performance. With Volume Encryption, you can protect your persistent storage against unauthorized access and ensure that your data remains secure both at rest and during use. It's an essential feature for organizations handling sensitive workloads or operating in regulated environments.
E2E Secrets Management (Vault as a Service) is a secure, end-to-end solution designed to manage, store, and access sensitive Secrets such as API keys, passwords, certificates, and encryption keys. It provides a Vault as a Service model, abstracting the complexity of deploying and maintaining your own Secrets store infrastructure.
Windows 2025
Nodes
We are excited to announce the launch of Windows 2025 version on our Windows nodes!
We're thrilled to announce an enhancement to Object Storage: support for object versions. You can now view object versions directly in the MyAccount Object section. This improvement significantly enhances visibility and control over stored data, allowing users to track and manage file changes more effectively.
We are excited to announce a new feature in DBaaS. Read Replicas can now be promoted to Master nodes. This enhancement significantly improves the availability and resilience of database services.
Container Registry
Container Registry
We've added support for multiple container registries, allowing you to manage them with individual access tokens as needed.
We're excited to announce the launch of DBaaS OpenSearch, delivering fully managed, scalable, and secure search and analytics capabilities.
Reserve IP
Reserve IP
Introducing Reserve IP — a new feature on E2E Cloud that lets you reserve static IP addresses independently of any node. These IPs can be attached to and detached from nodes as needed, giving you more flexibility and control over your cloud infrastructure.
SFS Committed Plans
SFS
We're excited to announce the launch of the SFS Committed Plans! These new plans offers cost-effective, long-term pricing options for our Scalable File Storage (SFS) service.
We're excited to announce the latest release of the E2E TIR Terraform provider, supporting a wide range of E2E Cloud services! Use the TIR provider to easily interact with and manage E2E resources via Terraform.
Project Based Usage Details
Billing
We're excited to introduce Project-Based Usage Details in the My Account section. A new 'Project Name' column has been added to the Usage Details table, allowing users to view and filter service usage based on specific projects.
We've given the Manage Customer Profile page in Billing a complete makeover! With a sleek, intuitive design, managing customer profiles is now faster, easier, and smoother than ever—get ready for a whole new level of managing bliss!
We're thrilled to introduce the SGlang Framework in Model Endpoint! SGlang is a high-speed serving framework designed for large language models and vision-language models.
We're thrilled to announce an update to our VPC creation process. The interface has been redesigned to be cleaner and more user-friendly. Try it out and experience how effortless it is to create and manage your VPCs.
We are excited to introduce the VPC Committed Plan, allowing users to reserve VPC resources at a discounted rate for a fixed duration. This plan provides cost savings and predictable billing for long-term workloads. Automatic Renewal: Option to enable auto-renewal for uninterrupted service.
Introducing DBaaS Committed Plans on the E2E Networks platform! Optimize your costs with committed plans for all DBaaS. Enjoy flexible, budget-friendly solutions to streamline Database workload management.
Added support for vision-11b and vision-11b-instruct fine-tuned models for enhanced visual understanding and instruction-based tasks.
Async Inference
Model Endpoints
We are excited to announce that we have introduced Async Invocation in Model Endpoint. This feature allows inference tasks to be processed asynchronously, ensuring seamless operation.
Introducing DeepSeek-V3 - a powerful 671B MoE language model designed for efficient inference, stable training, and exceptional performance across diverse NLP tasks.
We are excited to introduce Model Evaluation! This feature enables the assessment of a machine learning model's performance to ensure it aligns with the required objectives. Model evaluation helps verify whether the model generalizes effectively to unseen data and meets the intended business or technical goals.
Spot Instances
Spot Instances
We're thrilled to announce the launch of Spot Instances—your gateway to unbeatable savings on cloud computing! With Spot Instances, you can tap into cloud capacity at a fraction of the cost of on-demand pricing. This makes them perfect for flexible, fault-tolerant workloads, helping you maximize efficiency while drastically cutting expenses. Embrace smarter cloud usage and start saving big today!
We are excited to announce the launch of the "Convert to Committed" feature for Instances(Nodes) that support the committed option. This feature ensures that an instance can be converted to a committed state without the need to stop or restart the instance, providing a seamless experience.
Kubernetes Creation Revamp
Kubernetes
We're thrilled to announce an update to our Kubernetes cluster creation process! The interface has been redesigned to be cleaner and more customer-centric. Setting up your first cluster is now faster and simpler than ever. Try it out and experience how effortless it is to create Kubernetes clusters!
We are excited to introduce the Training Cluster, a dedicated environment designed for efficient resource allocation and management.
Update Image
Instances
We are excited to announce the introduction of the Update Image feature in Instances(Nodes). This enhancement enables users to effortlessly update image within any instance.
Bulk Actions on Nodes
Nodes
Introducing the Bulk Actions on Nodes feature – now you can select and manage multiple nodes simultaneously, saving time and effort. Whether you are powering off, rebooting, or locking the nodes, this feature empowers you to handle up to 10 nodes at once with a single click. Experience the convenience of managing multiple nodes effortlessly.
We are pleased to announce the introduction of the Start Script feature for Instances(Nodes). This enhancement enables users to seamlessly attach scripts to any Instances(Nodes), offering increased flexibility and control over Instances(Nodes) management.
Billing and Usage
General
Introducing Billing and Usage section in TIR which offers various options, including making payments, applying coupons for infra credits and discounts, viewing account statements and invoices, and analyzing usage across different teams and projects for your services.
We're thrilled to announce a significant update to our Database as a Service (DBaaS) platform! The creation process now boasts a revamped interface with streamlined workflows and improved navigation, making your experience smoother and more efficient than ever. Start exploring the enhanced DBaaS platform today and enjoy a faster, more intuitive journey to create your databases effortlessly!
Introducing Usage Analysis—a powerful new feature that puts you in control of your resource usage! Track and explore resource consumption like never before with filters for teams, projects, resources, and time periods. Gain actionable insights to optimize utilization and maximize efficiency effortlessly. Take the guesswork out of resource management and empower your decisions with precision!
Introducing Event Monitoring by E2E Networks, a robust alert service designed for users to efficiently manage resource statuses. Create scalable, reliable alerts to stay updated on resource changes in real time.
Introducing Kubernetes Committed Plans on the E2E Networks platform! Optimize your costs with committed plans for both Master Nodes and Worker Node Pools. Enjoy flexible, budget-friendly solutions to streamline Kubernetes workload management.
We are excited to announce that now user can also see topic level monitoring in Kafka Database.
FaaS Serverless Functions
FaaS
We are excited to introduce the FaaS (Function-as-a-Service) Monitoring feature, designed to enhance visibility and observability of serverless functions in your environment. This feature brings robust capabilities to help you better understand and optimize your FaaS workloads.
We are excited to announce the release of the Resource Transfer feature for Dbaas and Parameter group. Now you can seamlessly transfer your Dbaas and Parameter Groups from one project to another within the same CRN.
We are excited to announce the launch of Scaling the Active Worker to 0 for Inference. With this feature, you can set the Active Worker count to 0, ensuring that when no requests are made to the inference, no charges will be incurred. This enhancement helps optimize costs by automatically minimizing resource usage during idle periods.
We are thrilled to announce that we have launched **Llama 3.2 11B Vision Instruct** model in GenAI API process. When setting up GenAI API, you have the option to select the **Llama 3.2 11B Vision Instruct** model. Llama 3.2 Vision Instruct is designed for commercial and research use, with instruction-tuned models for visual recognition, image reasoning, and captioning, and pretrained models adaptable to various image-based tasks.
We are excited to announce the introduction of the new BAAI/bge-large-en-v1.5 model in Model Endpoints. When setting up Model Endpoints, you now have the option to select the BAAI/bge-large-en-v1.5 model. This general-purpose embedding model, developed by BAAI, generates 1024-dimensional embeddings for input text.
We are excited to announce the revamp of our Instances(Nodes) creation process. The revamped Instances(Nodes) creation process is designed to simplify workflows and improve user efficiency.
We are excited to announce the introduction of the new BAAI/bge-reranker-large model in Model Endpoints. When setting up Model Endpoints, you now have the option to select the BAAI/bge-reranker-large model. This cross-encoder model, developed by BAAI, is used to re-rank passages or texts relevant to a query by computing a relevance score.
We are excited to announce the introduction of the new Pixtral 12B model in Model Endpoints. When setting up Model Endpoints, you now have the option to select the Pixtral 12B model. As Mistral AI's first multimodal model, it processes both text and images, making it ideal for advanced tasks such as image captioning and text generation. Its integration of visual and textual data provides powerful AI capabilities for a wide range of applications.
We are excited to announce the introduction of the new Llama 3.2 3B Instruct model in Model Endpoints. When setting up Model Endpoints, you now have the option to select the Llama 3.2 3B Instruct model. This low-latency model is designed for tasks such as text summarization, classification, and translation, making it ideal for fast and accurate language processing in mobile writing assistants and customer service applications.
We are excited to announce the release of our SDK for Integrations. This tool enables users to easily create and manage integrations, improving functionality and simplifying the integration process.
We are excited to announce a new feature in Function as a Service (FaaS) that allows customers to update the memory and timeout settings for their functions.
Valkey Release Update
DBaaS
We are excited to announce the release of the Valkey DBaaS on our MyAccount platform. This new feature is now available for all users to access and utilize.
FaaS (Update System Configuration) Release Update
FaaS
We are excited to announce a new feature in Function as a Service (FaaS) that allows customers to update the memory and timeout settings for their functions.
Support ticket Release Update
General
We are excited to announce a new feature that allows customers to add CC emails when creating tickets, enabling them to include their IAMs in the email thread.
Model Endpoints (Revamp)
Model Endpoints
We are excited to introduce the newly revamped Model Endpoint creation process, designed to make it easier and more user-friendly. The updated interface focuses on simplicity, ensuring that creating and managing Model Endpoints is more intuitive and accessible for everyone.
We are pleased to announce the stop feature for the vector database, which stops the operations of Vector Database quickly. This feature ensures a smooth and controlled shutdown, enhancing your management capabilities.
We are excited to introduce the FineTune SDK, making model fine-tuning easier and faster. With simple integration and customizable options, it allows users to train and deploy models effortlessly.
Account Statement UI Update
General
We are excited to announce a comprehensive revamp of the Account Statement feature, providing an enhanced experience with new functionality and improvements.
We are thrilled to announce that We have added a new feature to the Instances(Nodes) that allows users to set their own custom port, enabling them to run services on their preferred IP and port.
We are pleased to announce the release of the Resource Transfer feature for Nodes, Images, Volumes, and Reserved IPs. Now you can seamlessly transfer your resources from one project to another within the same CRN.
We are thrilled to announce that the Fine-Tune Job creation process has been revamped, making it significantly easier for customers to use. The new user interface is designed with simplicity in mind, ensuring that the Fine-Tune Job creation is now more intuitive and easier for everyone.
GenAI API (AI4Bharat Indic Trans 2)
GenAI API
We are excited to announce that we have introduced the new **AI4Bharat Indic-ASR (Hindi)** model in GenAI API process.When you set up GenAI API, you have the option to select the AI4Bharat Indic-ASR (Hindi) model. It is is an Automatic Speech Recognition (ASR) system developed specifically for recognizing and transcribing Hindi speech. Part of the broader AI4Bharat initiative, this project is aimed at building AI tools and resources for Indian languages. Indic-ASR leverages deep learning models to convert spoken Hindi into text, making it useful for various applications, including voice assistants, transcription services, and accessibility tools.
We are excited to announce that we have introduced the new **AI4Bharat Indic-ASR (Hindi)** model in GenAI API process.When you set up GenAI API, you have the option to select the AI4Bharat Indic-ASR (Hindi) model. It is is an Automatic Speech Recognition (ASR) system developed specifically for recognizing and transcribing Hindi speech. Part of the broader AI4Bharat initiative, this project is aimed at building AI tools and resources for Indian languages. Indic-ASR leverages deep learning models to convert spoken Hindi into text, making it useful for various applications, including voice assistants, transcription services, and accessibility tools.
We are pleased to inform you that the Model Endpoint section has been enhanced to include a committed plan option for Endpoint creation. Previously, only an hourly plan was available, which limited flexibility for our users. With this new addition, users now have the opportunity to choose from a broader range of plans that better align with their specific requirements and long-term goals.
We are pleased to announce a new feature in our FaaS (Function as a Service) platform that allows users to download logs for specific functions. You can now easily select the desired date and time to retrieve and download logs, providing greater control and precision in your analysis and troubleshooting efforts.
We are excited to announce the launch of our new feature, Data Syncer. This feature enables data synchronization from one bucket to another by establishing a connection and initiating the sync process.
User and Access management
User and Access Management
We are delighted to introduce User and Access Management, seamlessly integrated into our TIR AI Platform for an enhanced user experience. User and Access Management is a comprehensive system designed to manage user roles and permissions within the TIR platform. This feature ensures that the right people have access to the right resources, streamlining collaboration and enhancing security across various teams and projects. With User and Access Management, organizations can efficiently assign roles such as Owner, Admin, Team Lead, Team Member, Project Lead, and Member, ensuring clear and controlled access to critical functions and information. This structured approach not only simplifies user management but also fosters a more organized and productive working environment.
We are excited to announce the release of the Owner Email change feature on the MyAccount platform. This new feature allows users to change the Owner Email Address associated with their account.
We are excited to announce the addition of a new feature “Mail Logs” in Audit Logs. Using this feature, customers can conveniently receive logs via email.
We are pleased to inform that we have revamped the Audit Logs page. This update brings a more intuitive interface, improving navigation and access to key information.
We are thrilled to announce the addition of an advanced filter feature on the Instances(Nodes) and Model Endpoint Listing page. This enhancement enables users to perform comprehensive filtering based on multiple criteria and combinations.
We are thrilled to announce the addition of a new model to our Fine-Tuning Jobs: *stabilityai/stable-diffusion-xl-base-1.0*. This model is now available for fine-tuning, enhancing the versatility and capabilities of your machine learning projects.
DBaaS Release Update
DBaaS
We are thrilled to announce the release of Expand Disk Size feature for DBaaS, now users can upgrade the disk size without upgrading the DBaaS.
SignUp Release Update
General
We are thrilled to announce that our Indian customers can now request an OTP via a voice call if they do not receive it through SMS after two attempts.
We are thrilled to announce the addition of Snapshot Capability in our vector databases enabling users to capture and store the current database state for backup. Users can easily revert to a previous database state using the stored snapshots, facilitating quick recovery from data loss or testing scenarios.
We are excited to announce the release of a new improved feature in Instances(Nodes), where users can now add multiple SSH keys at any status of the instance.
We are thrilled to announce the release of parameter groups for MariaDB versions 10.6 and 10.11, Now user can use the parameter group for these version as well.
We are excited to announce the latest addition of **Restart Action** to the model endpoint actions, and using this the user will be able to restart the endpoint.
We are excited to announce that users can now create fine-tuned models by continuing training from previous model checkpoints, with only fine-tuned repositories available. Also the user is able to clone the previous fine tuned job to create a new fine tuned job.
Node Release Update
Nodes
We are excited to announce the launch of our newly redesigned Node Upgrade section, delivering an enhanced user experience. Our team has invested substantial effort to ensure that interacting with the platform is now smoother and more enjoyable than ever before.
We are thrilled to announce the launch of a new feature that allows users to launch Instances(Nodes) without JupyterLab. Additionally, for container registry, users can now specify whether the image includes JupyterLab or not. This enhancement provides greater flexibility and customization for your instance environments.
We are excited to announce the launch of our newly redesigned GPU Creation feature, delivering an enhanced user experience. Our team has invested substantial effort to ensure that interacting with the platform is now smoother and more enjoyable than ever before.
We are excited to announce the launch of a new feature: training metrics in Fine-Tuning Jobs. This feature includes the following metrics
Object Storage Release Update
Storage
We're excited to announce the new Presigned URL feature in Object Storage. This allows users to generate presigned URLs for files in their buckets, enabling direct download or upload of files via these URLs. Users can now easily integrate upload presigned URLs into their code for seamless file uploads.
We are thrilled to announce the addition of three new models to our Fine-Tuning Jobs: *mistralai/Mistral-7B-Instruct-v0.2*, *meta-llama/Meta-Llama-3-8B-Instruct*, and *google/gemma-7b-it*. These models are now available for fine-tuning, enhancing the versatility and capabilities of your machine learning projects.
Node UI Release Update
Nodes
We are pleased to inform that we have revamped the Node details page. This update features a more intuitive interface, improving navigation and access to key information. The enhancements are designed to provide a more efficient and enjoyable user experience.
We are pleased to announce the addition of the HF Token Integration Section in the Model Endpoint creation and updating processes. This enhancement allows users to avoid repeatedly providing an HF Token during model creation. Additionally, it supports the storage of multiple integration tokens simultaneously, streamlining and improving the user experience.
We are thrilled to announce that we have introduced new features in Kubernetes giving users more control and visibility. Users can perform actions on worker nodes like powering the node on/off and rebooting the node and also, see the audit logs for creation/deletion of Persistent Volume in Kubernetes.
We are thrilled to unveil our latest update, integrating LORA configuration and Bits and Bytes (BnB) quantization options for fine-tuning models.
FineTune (Wandb Integration)
FineTune
We are excited to announce that we have integrated Wandb for model fine-tuning. Wandb, short for Weights and Biases, is a platform that offers tools for machine learning experiment tracking, visualization, and collaboration. It helps you keep track of your machine learning experiments, log hyperparameters, metrics, and output visualizations, making it easier to monitor and share your work with others.
FineTune (Feature update and UI chnages)
FineTune
We are excited to announce the addition of new features to our fine-tuning, including logs, events, and utilization metrics. We have also made updates to the fine-tuning model's GUI for an enhanced user experience.
Kubernetes Release Update
Kubernetes
We are thrilled to announce that we have released Kubernetes versions 1.27 for Delhi-NCR-2 region.
We are thrilled to introduce the addition of the Stripe payment gateway option for Indian customers during the signup process. Now, Indian customers have the choice between both Stripe and Razorpay for payment validation.
We are excited to announce that we have introduced the new vLLM model in Model Endpoints.When you set up Model Endpoints , you have the option to select the vLLM model.The vLLM server is structured to accommodate the OpenAI Chat API, enabling users to partake in dynamic conversations with the model. This chat interface provides a highly interactive method of interaction, facilitating fluid exchanges that can be archived in the chat history.
We are excited to announce the launch of our newly redesigned Node Creation feature, delivering an enhanced user experience. Our team has invested substantial effort to ensure that interacting with the platform is now smoother and more enjoyable than ever before.
We are thrilled to announce the latest enhancement to our Load Balancer (LB) feature. Users can now add multiple backends and multiple ACL rules simultaneously.
We are excited to announce that we have introduced the new llama-3-8b-instruct model in GenAI API process.When you set up GenAI API, you have the option to select the llama-3-8b-instruct model.This model is an advanced version of 'Llama-2-13b-chat' model.It is a user-friendly platform designed for easy access, allowing you to select an AI model, adjust settings, and observe real-time results. It's perfect for individuals interested in exploring machine learning and AI models.
We are excited to announce that we have introduced the new 'meta-llama/Meta-Llama-3-8B' model in fine-tuning process.When you set up fine-tuning, you have the option to select the 'meta-llama/Meta-Llama-3-8B' model in the job model configuration.
MyAccount header section Release Update
General
We're excited to introduce UI enhancements to the header of the “My Account” section. These updates improve accessibility, making it easier for customers to navigate and access their accounts seamlessly.
Kubernetes Release Update
Kubernetes
We are thrilled to announce the release of Kubernetes versions 1.28 and 1.29! in Delhi NCR region.
We are thrilled to announce the release of our Secret feature in Function as a Service (FaaS). With this functionality, customers can now run their functions securely and confidentially.
We are excited to announce the release of the Upload feature in Function as a Service (FaaS). With this functionality, customers can easily upload their existing functions.
We're thrilled to share that we've completely redesigned the user interface (UI) of our DBaaS feature to offer you an improved user experience. Our team has dedicated significant effort to enhance both the visual appeal and functionality, making your interactions with the platform smoother and more enjoyable.
We are thrilled to share that our latest update brings a significant enhancement to our Database as a Service (DBaaS) platform. Starting now, users can take advantage of Separate Monitoring Graphs for replicas, offering a more detailed and insightful view into the performance of your database replicas.
We are excited to announce the latest update to our Load Balancer (LB) feature, which introduces enhanced functionality. This release includes the addition of timeouts, such as WebSocket, client timeouts, server timeout, connection timeout as well as the HTTP keep alive timeout.
We are excited to announce the latest update to our Load Balancer (LB) feature, This release includes the introduction of the Internal Load Balancer (LB) feature.
We are excited to announce that We've increased security for everyone. Now, all users need to use Two-Factor Authentication (2FA). Users have the flexibility to switch between 2FA options, either from TOTP (Time-Based One-Time Password) to Google Authenticator or from Google Authenticator to TOTP.
We are delighted to introduce Policy-Based Access Control (PBAC), seamlessly integrated into our MyAccount for an enhanced user experience. PBAC serves as a sophisticated user access management mechanism. It allows tailored permissions based on users' business responsibilities and predefined policies, with the option to create custom rules and policies. Unlike traditional organisation-wide role adjustments, PBAC offers quick adaptability to evolving requirements, ensuring swift and precise access privilege modifications. This dynamic approach reinforces asset protection through the enforcement of established rules and policies. PBAC stands out as a versatile authorisation solution, automating security controls within applications and data, catering to various access points with efficiency.
FaaS (Function as a Service) new feature Release Update
FaaS
We are excited to announce the launch of Function as a Service (FaaS), a powerful new feature designed to transform how you develop and deploy functions or services on our serverless cloud platform.
We are excited to announce that we have revamped the user interface (UI) of our Load Balancer platform to provide you with an even better user experience. Our team has worked diligently to enhance the visual appeal and functionality, ensuring that your interactions with the platform are more seamless and enjoyable.
E2E Cloud