Overview
This is a repackaged open source Stack wherein additional charges lies for pre-configured stack. An easy business tool to provide BI to each person working in company. As it is at its high level of flexibility, it uses a feature of pulses that gives one the ability to automatically send regular updates to keep full track on the changes that are done to the metrics without any intervention.
Highlights
- Quickly installable,usable by everyone
- Ability to store and resuse filter definitions Metrics
- The ability to store and reuse aggregation definitions.
Details
Typical total price
$0.30/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.20 | $0.006 | $0.206 |
t2.micro AWS Free Tier | $0.20 | $0.012 | $0.212 |
t2.small | $0.20 | $0.023 | $0.223 |
t2.medium | $0.20 | $0.046 | $0.246 |
t2.large | $0.20 | $0.093 | $0.293 |
t2.xlarge | $0.20 | $0.186 | $0.386 |
t2.2xlarge | $0.20 | $0.371 | $0.571 |
m3.medium | $0.20 | $0.067 | $0.267 |
m3.large | $0.20 | $0.133 | $0.333 |
m3.xlarge | $0.20 | $0.266 | $0.466 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
The instance can be terminated at anytime to stop incurring charges
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Fourth Release
Additional details
Usage instructions
Step 1: Open Putty for SSH Step 2: Open Putty and Type <instance public IP> at Host Name Step 3 : Open Conncetion->SSH->Auth tab from Left Side Area Step 4 : Click on browse button and select ppk file for Instance and then click on Open Step 5 : Type ubuntu as user name Password auto taken from PPK file Step 5.1: If you get any update option from Ubuntu then you have to follow the following steps: After then follow following commands: $ apt-get update $ apt-get upgrade Step 6 : Use following Linux command to start Streamset Step 6.1 : $ sudo vi /etc/hosts Take the Private Ip address from your machine as per the below screenshot and then replace the second line of your command screen with that Private ip address Step 6.2: Change ssh ubuntu user to root
sudo su Steps 6.3: to check current path. pwd Step 6.3: First remove metabase docker rm metabase Step 6.4: Start metabase with docker docker run -d -p 3000:3000 --name metabase metabase/metabase Step 6.5: Now Metabase start in Browser. Open the URL: http://<instance ip address>:3000/ IP address of the running EC2 instance. Example: http://54.165.94.231:3000 Step 6.6: Register with Application First Name : <Any Name> Last Name: <Any Name> Email Address: <Your Email Address> Create a password: <InstanceID> Confirm password: <InstanceID> Your company or team name: <Team name> Click for further steps : http://www.miritech.com/Products/AWS/Metabase.aspx?id=Deployment-Instructions
Resources
Vendor resources
Support
Vendor support
All your queries are important to us. Please feel free to connect. 24X7 support provided for all the customers. We are happy to help you http://www.miritech.com/ContactUs.aspx (510) 298-5936 Mailto: contact@miritech.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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