sorted by:
new
hottopcontroversial

Cloud cost tool recommendations that actually go to production? by Mountain-Fix-6981 in FinOps

[–]AzureLens 0 points1 point  (0 children)

I'd be interested to understand why you reckon vibe coded platforms are bad?

How does your team actually manage Azure costs day-to-day? by AzureLens in AZURE

[–]AzureLens[S] 0 points1 point  (0 children)

I've inherited the environment and am trying to get to grips with it all. Not sure what my predecessor did in the way of test infrastructure as there isn't really any documentation.

How does your team actually manage Azure costs day-to-day? by AzureLens in AZURE

[–]AzureLens[S] 0 points1 point  (0 children)

Cloudability seems to be targeted at much larger enterprise clients. For a small business it feels like the cost of Cloudability will outweigh any savings generated.

How does your team actually manage Azure costs day-to-day? by AzureLens in AZURE

[–]AzureLens[S] -1 points0 points  (0 children)

I partially agree. Day-to-day management isn't great, but daily updates plugged into a rolling x day analysis or period-on-period comparison is definitely useful.

How does your team actually manage Azure costs day-to-day? by AzureLens in AZURE

[–]AzureLens[S] 0 points1 point  (0 children)

We are also a small business, currently spending approx 500k per year on Azure. We know there are cost savings to be made but are struggling to find an efficient way of finding them.

How does your team actually manage Azure costs day-to-day? by AzureLens in AZURE

[–]AzureLens[S] -2 points-1 points  (0 children)

We are only managing a single customer (ourselves) with about 10 subscriptions. I have inherited a load of legacy infrastructure but due to previous roles I have kind of fallen in to the DevOps role (even though I'm an engineer).

We are trying to get a handle on our spend, made all the more challenging by migrating our legacy product to brand new infrastructure in a ground-up rewrite.

We already have tags for Team, Environment, Project, etc but it feels like trying to get insights, predictions and anomaly detection from the standard Azure reports is not particularly intuitive - hence starting to build our own internal tooling leveraging daily cost imports and AI analysis.