Product Roadmap
This roadmap illustrates our intended direction and offers a sneak peek at several planned features. These features have been prioritized based on valuable input directly sourced from our customers. You are welcome to submit your own product ideas to the Harness Idea Portal.
Q1 CY'23
Q1 CY'23, Feb-Apr 2023
Azure VM Recommendations
Support for Azure VM optimisation (Rightsizing, Cleanup)
On-Prem/Self-Managed Support
Support to run CCM in an On-Premise customer environment
Margin Obfuscation & Markups for MSPs
Ability for MSPs to set markups at various levels of granularity (Accounts, Service etc.)
CDN Support for AutoStopping
Fine-tune cost anomaly detection with an ignore list, added support for comments, and integrations with popular ticketing systems (JIRA, ServiceNow).
ALB Support Perfromance Improvements
Significant reduction in resource requirements for ALB based AS Rules
Budget Groups
Hierarchial Organisation of budgets with roll ups & cascading effects
Q2 CY'23
Q2 CY'23, May-Jul 2023
Recommendation Workflows
Support for Ignore list, JIRA/ SNOW integration, Applied recommendations dashboard (Docs)
Perspective Preferences
Flexibility to tailor the cost data presented in your perspective. Ex. Include/ Exclude discounts, Tax etc (Docs)
Shared Costs support - Cost Categories
Share Costs across various cost buckets with various sharing strategies (Docs)
K8s AutoStopping Improvements
Support for State Sync, Fixed Schedules & Inline dependencies
Cloud Asset Governance for AWS
FinOps-as-code policies for AWS with Out of the box recommendations (Docs)
Budgets - Capacity Planning
Support for yearly forecasts in Budgets
Q3 CY'23
Q3 CY'23, Aug-Oct 2023
Forecasting Enhancements
Fine-tuned custom forecasting alogorithms resulting in improved accuracy
Anomaly Detection Improvements
Improved accuracy to avoid False positives, Support for Harness K8s Tag based anomaly detection
On-Prem/Self-Managed Airgapped Support - AWS
Support to run CCM in an On-Premise customer environment in an Airgapped setup
Sample AutoStopping Rule Creation
Automated creation of sample applications via Terraform that can be used to trial AutoStopping
HPA Support for K8s AutoStopping
Support to scale down workloads to a non-zero replica count to work with HPA
AIDA for Asset Governance
Craft policies using AI with natural language queries (Docs)
Cost Correlation for AWS Asset Governance
Correlate cost impact of policy runs to identify savings
Q4 CY'23
Q4 CY'23, Nov-Jan 2024
Improved RBAC
Support for granular RBAC for Recommendations, Anomalies, Budgets & Asset Governance entities (Docs)
Label Performance Enhancements
3x improvements in query times for dashboards leveraging cloud labels & tags
Terraform Provider for Autostopping Rules
Programmatically manage and configure AutoStopping Rules
Commitment Orchestrator for AWS
Automated purchasing and management of commitments to maximize savings, compute coverage and utilization
Cloud Asset Governance for Azure
FinOps-as-code policies for AWS with Out of the box recommendations (Docs)
Cost Correlation for Azure Asset Governance
Correlate cost impact of policy runs to identify savings
Q1 CY'24
Q1 CY'23, Feb-Apr 2024
Cost Category Enhancements
Performance improvements - 2x Query speeds, Support to leverage cost categories across all CCM features: Recommendations, Asset Governance, Budgets
Cost Anomaly Workflows
Ignore list, support for comments, JIRA/ SNOW integration
Universal Cost Adaptor for External Data Ingestion
Unified way to ingest cost data from any external sources for a unified SaaS + Cloud spend management
Cluster Orchestrator for EKS
Workload-driven intelligent node autoscaling with distributed spot orchestration
Commitment Orchestrator - User Approvals
Manual user approval of commitment purchases and exchanges for more granular control
Multi-Policy Support
Support to run multiple policies in a single rule to create a workflow of policies
Cloud Asset Governance for GCP
FinOps-as-code policies for GCP with out-of-the-box recommendations (Docs)
Cost Correlation for GCP Asset Governance
Correlate cost impact of policy runs to identify savings
Q2 CY'24
Q4 CY'24, May-Jul 2024
Terraform Support for Perspectives
Programmatically manage and configure different views
Recommendation Preferences
Global preferences to select presets for fine tuning recommendations (Ex. Buffer, instance family etc.)
AutoStopping Bulk Rule Creation
Creation of AutoStopping Rules in bulk based on tags and other resource filtering for faster adoption at scale
Smart Advisor for AutoStopping
Categorization of short-lived non-production cloud accounts and clusters to track savings potential and progress made
Workload Bin-packing for EKS Cluster Orchestrator
Efficient scheduling and placement of containers onto nodes for optimizing node count and utilization
FinOps Workflows
Automated workflow to adopt FinOps practices and CCM features at scale
Q3 CY'24
Q3 CY'24, Aug-Oct 2024
Cost Anomaly Preferences
Global preferences to select percentage deviation, minimum cost thresholds
AutoStopping Enforcement
Compliance enforcement to ensure that all target resources have AutoStopping Rules created to manage them and deliver savings during idle windows
Commitment Orchestrator for Azure
Automated purchasing and management of commitments to maximize savings, compute coverage and utilization
Cluster Orchestrator for AKS
Workload-driven intelligent node autoscaling with distributed spot orchestration
Cloud Asset Governance - IaCM Integration
Shifting left FinOps-as-code guardrails to prevent leaks at the point of infrastructure provisioning
Q4 CY'24
Q4 CY'24, Nov-Jan 2025
Conversational FinOps
Natural language prompts to query complex cloud cost analaytics and insights
Cluster Orchestrator for GKE
Workload-driven intelligent node autoscaling with distributed spot orchestration
Commitment Orchestrator for GCP
Automated purchasing and management of CUDs to maximize savings, compute coverage and utilization
Cloud Asset Governance - Security & Compliance
Support for CSPM and compliance policy packs (CIS, GDPR etc.)
Tag Nomalization
Normalize tag variations effortlessly with AIDA's AI-driven recommendations