Per-Second billing now on almost all resources!
June 2020 Update:
– Database Cloud Service uses per second billing for VM, Baremetal and Exadata
– Updated Exadata CS for the new X8 Shapes
– Added list of OCI Autoscaling features, including the new schedule based scaling for instance pools
May 2020 update:
– Compute now uses per second billing
– Autonomous Database now uses per second billing
– New E3 Compute shape that supports flexible shape in the form of # of CPUs
March 2020 update:
– Compute VMs now support automated shape change
– Database VMs now support automated shape change
– Exadata Shapes now only have a minimum term of 48 hours (instead of 30 days)
One of the key characteristics of Cloud Computing is elasticity; resources that are available on-demand when needed and stopped when not needed, resources that can scale to the current demand. This elasticity is not only great to ensure well performing applications, but can also significantly help to reduce the cost of such solutions.
Let’s take an Example: You want to have an Analytics Environment to discover valuable data for your business. An analytics environment typically only needs to run when the user is actually working with it. This will clearly not be 24/7. The database behind the analytics environment might also only need to run during the use of analytics. So in some cases both can be powered off when not needed, resulting in significant cost saving.
Service | Cost 24×7 per Month | Cost 10×5 per Month | Savings |
---|---|---|---|
Analytics Standard @ 2 OCPU | $2,000 | $896 | $1,104 (55.2%) |
Autonomous Data Warehouse @ 2 OPCU | $2,500 | $874 | $1,626 (65.1%) |
Total Monthly cost | $4,500 | $1,769 | $2,731 (60,7%) |
In case you are wondering why the savings on Autonomous DB is different then on Analytics cloud; Autonomous has zero CPU cost when not running, while the Analytics cloud charges 15% of CPU while not running.
Save Money, but get POWER when needed!
In the above example you see the savings these services can give you if you run them “smartly”, but sometimes you just want to go fast! These service support scaling so you will have that option. The above configuration/price is based on 2 OCPUs for each service but:
- Autonomous DB can scale WITHOUT downtime from 1 to 128 OCPUS
- AnalyticsCS can scale WITHOUT downtime between 2,4, 6 or 8 OCPUS
So if you need some extra juice, you can! You will only be paying extra for the duration (in hours) for the extra capacity.
Oracle Cloud Services Elasticity Overview
Service | Suspend | Suspend Cost | Scale Up/Down | OCPU Range | Scale In/Out | Comments |
---|---|---|---|---|---|---|
Compute VM | Yes | Storage Cost | Change shape requires a reboot | Intel and E2 Shapes: 1, 2, 4, 8, 16, 24 E3 Shapes: Any CPU between 1 and 64 |
via Instance Pool | Stopping of billing only for Standard shapes not based on Windows OS. Per-Second billing |
Compute BM | Yes | Storage cost | No | 36,44,52,64, 128 | No | Stopping of billing only for Standard shapes not based on Windows OS, Per-Second billing (min one hour) |
Compute Instance Pool | Yes | Storage Cost | Change shape requires a reboot | Yes, 1 to many nodes | Per-Second billing | |
Database VM | Yes | Storage Cost | Change shape requires a reboot, when using RAC no downtime needed | 1, 2, 4, 8, 16, 24 | Yes, RAC 2 Nodes | Per second billing |
Database Bare Metal | No | Yes | 2 – 52 OCPU | No | DB license for OCPU is scalable. There is a fixed infrastucture cost for the BM server. Per second billing | |
Exadata CS Quarter X8 | No | Yes | 0 – 100 OCPU | RAC 2 Nodes | Fixed Infra cost. Minimum term is 48 hours, there after per hour. Per second billing | |
Exadata CS Half X8 | No | Yes | 0 – 200 OCPU | RAC 4 Nodes | Fixed Infra cost. Minimum term is 48 hours, there after per hour. Per second billing | |
Exadata CS Full X8 | No | Yes | 0 – 400 OCPU | RAC 8 Nodes | Fixed Infra cost. Minimum term is 48 hours, there after per hour. Per second billing | |
Autonomous DB | Yes | Storage Cost | Yes | 1 – 128 OCPU | Above 16 OCPU split on multiple RAC Nodes | Per-Second billing |
Analytics CS | Yes | 15% of OCPU hour rate | Yes | (2,4,6,8) or (10,12) | No | Shapes 1, 16, 24,236,52 do not provide scaling |
Java CS | Yes | Storage Cost | No | Yes, 1,2 or 4 Nodes | ||
Visual Builder CS | Yes | No | No | |||
Big Data Cloud | Yes | Storage Cost | No | 2,4,8,16,24 | Yes, 1 to 100 nodes |
Native OCI Auto-scaling Features
OCI is getting more and more native auto scaling features. Currently there are 2 services that have an auto scaling method.
- Instance Pools; Based on CPU or Memory load, Schedule based auto-scaling
- Autonomous DB; Automatic CPU scaling based on load up to 3x the default size.
Auto-scaling by Scripting
If you want to scale other things besides Instance Pools or the CPU of an autonomous database, you can my Auto Scale Script
The Super Scale” script that can automatically power on/off and scale Compute and Database Instances. I will also soon be adding support for the Analytics cloud and some other services in this script, so “To be continued…” 🙂
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Hi Richard,
Thank you very much for providing the script. could you please add support for the Analytics cloud as you mentioned. that would be helpful.
Regards,
Gopinath.
will try to work on that soon