LTIMindtree Canvas Glide
Canvas Glide is a tool for administering Amazon Redshift's day-to-day routine tasks. It helps organizations manage all financial aspects related to cost allocation, chargeback, monitoring, and planning of Amazon Redshift clusters. Glide addresses the core challenges of administering redshift and governing its usage. It assists administrators to successfully manage both technically and financially their Amazon Redshift clusters and guides Administrators on common maintenance tasks. Canvas Glide with its 360-degree approach to cloud governance streamlines operations and saves on cost by providing insights into cluster usage, providing reports, predicting spend, and sending notifications on events.
Proud to be recognized as an AWS Premier Consulting Partner, LTIMindtree delivers leading-edge solutions through our expertise in focus areas such as Platform Modernization,Data Modernization, and Data Governance leveraging AWS Services.
Features:
- Helps Administrator manage Redshift Cluster proactively and to receive alerts around events in a single platform, enabling better Cost and Performance Control.
- Provides performance analysis using historical data on usage of the clusters.
- Maintains historical graphs of metrics such as CPU utilization and Percentage disk space used and provides visualization..
- Provides recommendations on cluster resizing based on CPU Utilization trends and transient cluster creations.
Canvas Glide Core Components
Redshift Stats
A 360-degree view of database. Provides a high-level view of the Clusters managed and the Database stats.
Cost Monitoring
View, analyze, and manage the costs of Amazon Redshift clusters.
Workload Management
Scale, re-configure and prioritize workloads through resource management. Monitor database usage by users and user groups.
Data Sharing
Create and maintain data shares. Grant and revoke data share access to other accounts.
User Management
Manage users and groups and provide privileges for various database objects.
Performance Analysis
Maintain historical data of health metrics and provide visualization on performance analysis.
What it solves for
Chargeback
Apportion total cost of Amazon Redshift clusters to each business unit based on usage.
Root Cause Analysis
Perform analysis on production issues and validate data and perform routine tests on Redshift.
Workload Management
Manages capacity allocation for various user groups and automated jobs based on business needs.
Data Share
Provide read access to other accounts through proper permissions.
Monitoring
Monitor the load variation/peak usages/concurrency and identify the scope for optimizing cluster using scale up and scale down.
Forecast
Forecast the growth of the cluster based on the data volume, evolving business requirements.
Database Maintenance
Assists and guides Administrators on common maintenance tasks by sending alerts and notifications on events.
Reporting
on Redshift usage, utilization, and health.
Resources
US based Global Media & Entertainment Company
Customer 360 Analytics on Amazon Redshift for increased customer base & retention
Leading Pharma Manufacturing Company
Hybrid AWS Data lake for Next-Generation Analytics on Amazon Redshift for cost optimization