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u/Kind_Cauliflower_577

r/devops r/Cloud r/AZURE r/Allotment r/googlecloud r/FinOps
▲ 7 r/Allotment

Help with growing chillis

Hi,

I'm based in the UK and have tried growing chillies from seed a few times this year without much success.

I sowed the seeds in February/March, but they never germinated. I tried keeping them on a shelf above the boiler and also on a windowsill, but neither location seemed warm enough.

I'm planning to try again next year. Does anyone have any tips or recommendations for improving germination rates, especially in the UK climate?

Thanks!

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u/Kind_Cauliflower_577 — 1 month ago
▲ 3 r/Allotment

DIY or cheap tomato supports

Hi,

I am from UK

What's the best way to support tomato plants? Are there any good DIY options or inexpensive supports to buy?

I need supports for around 20 plants.

At the moment I'm using bamboo canes, but they don't seem to provide enough support, especially in windy conditions.

Thanks!

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u/Kind_Cauliflower_577 — 1 month ago
▲ 19 r/FinOps+4 crossposts

Been working through the Azure AI/ML cost surface over the past few weeks and just shipped 5 new rules.

Also did a hardening pass on all 12 existing rules after getting feedback that some were firing on resources that weren't actually idle - they're now more conservative about what they'll flag.

Azure hygiene rules (12) — same as before, just tighter:

  • VMs stopped but not deallocated (full compute charges still running)
  • Unattached Managed Disks
  • Snapshots older than 30–90 days
  • Public IPs not attached to any interface
  • Standard Load Balancers with zero backend members
  • Application Gateways with zero backend targets
  • VNet Gateways with no connections (VPN/ExpressRoute)
  • Paid App Service Plans with zero apps
  • App Services with zero HTTP requests for 14+ days
  • Azure SQL databases with zero connections for 14+ days
  • Container Registries with no pulls for 90+ days
  • Untagged disks and snapshots

Azure AI/ML rules (5, opt-in with --category ai):

  • AML compute clusters with a baseline node floor (min_node_count > 0) and no observed
  • job activity for 14+ days — the kind that stays warm between experiments and quietly bills
  • AML compute instances in Running state with no recent lifecycle activity
  • AML managed online endpoints with always-on baseline replicas and zero requests per minute
  • Azure OpenAI provisioned deployments (PTUs) with no observed API traffic — PTU commitments are expensive and easy to forget after a project winds down
  • Azure AI Search services that are structurally empty (no indexes with documents) and have had no query activity for 90+ days

All AI rules require confirmed monitoring data - they skip rather than guess when telemetry is missing or the resource is too new to evaluate.

Multi-subscription and Management Group scanning still supported. Works with Workload Identity Federation in CI. Nothing leaves your environment.

What AI/ML Azure resources do you find most commonly orphaned after projects wrap up? Curious whether AML workspaces themselves (not just the compute inside them) are worth targeting, or whether that's too aggressive ?

Repo: https://github.com/cleancloud-io/cleancloud

u/Kind_Cauliflower_577 — 9 days ago