Skip to content

Commit 9154653

Browse files
Merge pull request #308804 from simonjj/wp-flex-updates
fixing official Flex naming and updating CLI output sample to include…
2 parents 2ca602b + 9cf760f commit 9154653

2 files changed

Lines changed: 23 additions & 16 deletions

File tree

articles/container-apps/workload-profiles-manage-cli.md

Lines changed: 18 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -190,7 +190,7 @@ az containerapp env workload-profile add \
190190
--max-nodes <MAX_NODES>
191191
```
192192

193-
The value you select for the `<WORKLOAD_PROFILE_NAME>` placeholder is the workload profile *friendly name*.
193+
When selecting a workload profile to add it is important to ensure regional availability. The value you select for the `<WORKLOAD_PROFILE_NAME>` placeholder is the workload profile *friendly name*.
194194

195195
Using friendly names allow you to add multiple profiles of the same type to an environment. The friendly name is what you use as you deploy and maintain a container app in a workload profile.
196196

@@ -242,16 +242,23 @@ az containerapp env workload-profile list-supported \
242242
The response resembles a table similar to the below example:
243243

244244
```output
245-
Name Cores MemoryGiB Category
246-
----------- ------- ----------- ---------------
247-
D4 4 16 GeneralPurpose
248-
D8 8 32 GeneralPurpose
249-
D16 16 64 GeneralPurpose
250-
E4 4 32 MemoryOptimized
251-
E8 8 64 MemoryOptimized
252-
E16 16 128 MemoryOptimized
253-
E32 32 256 MemoryOptimized
254-
Consumption 4 8 Consumption
245+
Name Cores MemoryGiB Category
246+
------------------------- ------- ----------- --------------------
247+
D4 4 16 GeneralPurpose
248+
D8 8 32 GeneralPurpose
249+
D16 16 64 GeneralPurpose
250+
D32 32 128 GeneralPurpose
251+
E4 4 32 MemoryOptimized
252+
E8 8 64 MemoryOptimized
253+
E16 16 128 MemoryOptimized
254+
E32 32 256 MemoryOptimized
255+
Consumption 4 8 Consumption
256+
Consumption-GPU-NC24-A100 24 220 Consumption-GPU-A100
257+
Consumption-GPU-NC8as-T4 8 56 Consumption-GPU-T4
258+
Flex 4 16 Consumption
259+
NC24-A100 24 220 GPU-NC-A100
260+
NC48-A100 48 440 GPU-NC-A100
261+
NC96-A100 96 880 GPU-NC-A100
255262
```
256263

257264
Select a workload profile and use the *Name* field when adding or updating workload profiles with the `az containerapp env workload-profile add` or `az containerapp env workload-profile update` commands for the `--workload-profile-type` option.

articles/container-apps/workload-profiles-overview.md

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -29,12 +29,12 @@ Each profile type determines how your apps scale, the level of resource isolatio
2929

3030
- **Dedicated profiles** run on reserved compute resources in your own dedicated pool. You select the size and type of virtual machine, deploy multiple apps per profile, and pay per-profile instance. Dedicated profiles can be more cost-effective for steady workloads and support general purpose, memory-optimized, and GPU use cases.
3131

32-
- **Flex profiles** (preview) blends the billing and setup simplicity of the *Consumption* profile with many of the performance characteristics of the Dedicated profiles. Flex profiles are billed like a Consumption profile plus the dedicated management fee, run in a single‑tenant compute pool, offer planned maintenance windows, and dedicated networking and access to larger replica sizes. Flex profiles require a subnet of at least `/25`.
32+
- **Flexible profile** (preview) blends the billing and setup simplicity of the *Consumption* profile with many of the performance characteristics of the Dedicated profiles. Flexible profiles are billed like a Consumption profile plus the dedicated management fee, run in a single‑tenant compute pool, offer planned maintenance windows, and dedicated networking and access to larger replica sizes. Flexible profiles require a subnet of at least `/25`.
3333

34-
Each Container Apps environment includes a default Consumption profile. You can add Dedicated or Consumption GPU profiles and, when available, Flex profiles to meet your application's needs.
34+
Each Container Apps environment includes a default Consumption profile. You can add Dedicated or Consumption GPU profiles and, when available, Flexible profiles to meet your application's needs.
3535

3636
> [!NOTE]
37-
> The Flex profile is currently only available in the following regions: Central US EUAP, East US2 EUAP, East Asia, and West Central US.
37+
> The Flexible profile is currently only available in the following regions: Central US EUAP, East US2 EUAP, East Asia, and West Central US.
3838
3939
## Workload profile form factors
4040

@@ -76,11 +76,11 @@ All Consumption profiles support serverless scaling and are billed based on per
7676
> [!NOTE]
7777
> GPU‑enabled Dedicated profiles allocate capacity on a per‑case basis. [You must submit a support ticket to request the required capacity](/azure/container-apps/quotas#gpu-quotas).
7878
79-
### Flex profile details (preview)
79+
### Flexible profile details (preview)
8080

8181
| Profile names | vCPU range | Memory range | Regions | Allocation |
8282
|--|--|--|--|--|
83-
| **Flex** | 0.25-4 | 0.5-16 GiB | Central US (EUAP), East US2 (EUAP), East Asia, West Central US | per replica |
83+
| **Flexible** | 0.25-4 | 0.5-16 GiB | Central US (EUAP), East US2 (EUAP), East Asia, West Central US | per replica |
8484

8585
## Resource consumption and scaling
8686

0 commit comments

Comments
 (0)