Overview

Product video
This is a repackaged open-source software product with optional support from Meetrix.io. Keep costs low with pay-as-you-go pricing, while gaining access to expert assistance as needed.
Deploy TimescaleDB on AWS to enable high-performance, real-time analytics on time-series and event data. TimescaleDB extends PostgreSQL with features like hypertables, columnar storage, and continuous aggregates ideal for IoT, finance, SaaS, and other data-intensive applications. This AMI includes a pre-configured PostgreSQL instance enhanced with TimescaleDB and secured for production use.
Our setup integrates IAM roles, Route 53 DNS, and Let's Encrypt SSL for secure, browser-based access. The AMI is optimized to support scalable time-series workloads with low latency and reduced storage costs, using native compression and tiered storage options.
Key features include:
Instant Deployment: Launch a fully functional TimescaleDB instance on AWS EC2 in minutes.
Time-Series Optimized: Built-in hypertables, columnar storage, and continuous aggregates for high-performance analytics.
PostgreSQL Compatibility: Seamlessly integrates with existing PostgreSQL tools, queries, and extensions.
Secure AWS Setup: Integrated with IAM, Route 53, and Let's Encrypt SSL for secure access via custom domain.
Scalable Architecture: Designed for real-time data ingestion, storage compression, and analytics at scale.
Resources to help you get started:
TimescaleDB Setup Guide: https://meetrix.io/articles/timescaledb-developer-guide/Â
TimescaleDB Video Walkthrough: https://youtu.be/xnTkLCkkKqMÂ
For personalized support, contact us: https://meetrix.io/contact-usÂ
TimescaleDB Version: 2.21.1
Empower your teams with a high-performance, PostgreSQL-compatible time-series platform optimized by Meetrix.io for scalability, security, and ease of deployment.
Highlights
- Instant Deployment: Launch a production-ready TimescaleDB instance in minutes using our pre-configured AMI.
- Time-Series Analytics: Analyze real-time data efficiently with hypertables, columnstore, and continuous aggregates.
- Secure AWS Integration: Includes IAM, Route 53, and Let's Encrypt SSL for private, secure access.
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Dimension | Cost/hour |
---|---|
t3.large | $0.104 |
m7a.medium | $0.104 |
m7i.large | $0.104 |
m6i.large | $0.104 |
t3a.xlarge | $0.104 |
t3a.large | $0.104 |
m5.xlarge | $0.104 |
m4.xlarge | $0.104 |
r6a.large | $0.104 |
r5a.large | $0.104 |
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Delivery details
TimescaleDB Deployment on AWS EC2
TimescaleDB runs on a single EC2 instance with IAM, Route 53, and Let's Encrypt SSL pre-configured. It provides secure, browser-based access via a custom domain ideal for teams deploying real-time, scalable time-series analytics on AWS.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
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First Release
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Usage instructions
Click the "View purchase options" button. After subscribing, you will need to accept the terms and conditions. Click on "Accept Terms" to proceed. Please wait for a few minutes while the processing takes place. Once it's completed, click on "Continue to Configuration".
IAM Role is set up and configured with the necessary permissions to assume the role for the TimescaleDB service. The IAM Policy is created and responsible for access Route53 and create Letsencrypt SSL certificates. After the stack is created, please point DNS. Then access the TimescaleDB through https://<your domain name>
If you want to ssh into the server please use the port 22 and username 'ubuntu'. Admin email is neded for SSL generation.
For more information please read our developer guide: https://meetrix.io/articles/timescaledb-developer-guide/Â
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Vendor support
Please contact us through aws@meetrix.io . Please allow up to 12 hours for our support team to address your request.
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