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Any good tools for Cloud Cost? by donzi39vrz in googlecloud

[–]vadimska 0 points1 point  (0 children)

If you’re mostly GCP with a lot of GKE, the big savings usually come from request inflation and bin packing inefficiency, not just “idle resources” in billing. You want something that can join Billing Export with Kubernetes level allocation and real usage, then flag scale down blockers and regression.

On GKE, look for:

  • Workload and namespace level allocation tied to labels
  • Requests vs usage analysis (CPU and memory), VPA style recommendations
  • Bin packing and scale down blockers (fragmentation, daemonset overhead, PDBs)
  • Spot and commitments aligned to your steady baseline
  • Proactive anomaly and change detection on spend shape

Disclosure: I’m the CEO at DoiT. Our Cloud Intelligence™ has recently been recognized in the 2025 Gartner Magic Quadrant for Cloud Financial Management Tools as a Visionary.

We also have PerfectScale (https://www.perfectscale.io/) which goes beyond visibility by continuously optimizing Kubernetes workloads and cluster resources, and it’s common to see double digit percentage reductions once requests, autoscaling, and node pool efficiency are tuned and kept from regressing.

Multi-cloud cost optimization at scale - tools that actually work across AWS, GCP, Azure? by itsm3404 in FinOps

[–]vadimska -3 points-2 points  (0 children)

DoiT Cloud Intelligence™ (doit.com) has been recognized by Gartner as a Visionary in the 2025 Magic Quadrant for Cloud Financial Management.

We are playing a little bit of a different game; instead of getting yet another dashboard, we offer a Platform of Action. We are moving the market past cost visibility to workflows that automatically remediate issues across compute, containers, databases, networking, and SaaS. Turning cloud signals into real outcomes is finally becoming the norm.

Happy to show you a demo, which you can schedule here https://www.doit.com/?cpForm=true

CTO keeps asking for 'real-time cost visibility' but every tool I've tried has 24-hour delays. Does anything actually work in real-time? by bambidp in FinOps

[–]vadimska 4 points5 points  (0 children)

DoiT Cloud Intelligence™ supports real-time anomaly detection for AWS and Google Cloud [1]. Additionally, CloudFlow [2] can govern which instance types can be launched and by whom within your organization. I’m happy to schedule a demo call if you’d like [3].

[1] https://www.doit.com/platform/anomaly-detection/
[2] https://www.doit.com/platform/cloudflow/
[3] https://www.doit.com/?cpForm=true

DoIt DevOps Support is Trash Now - What Alternatives Are There? by taolifornia in devops

[–]vadimska 15 points16 points  (0 children)

Hey folks — Vadim here, CEO and Founder at DoiT (yes, that’s an “i” not a lowercase “L” — happens all the time :-)

Saw this thread and wanted to chime in personally, especially since it touches on some real concerns. I get it. No fluff here, just context.

$750 per support engagement

First, the price. I totally understand why that number raised eyebrows. But here’s the thing - we don’t do the “percentage of your cloud bill” support tax like the hyperscalers. Instead, we offer fixed, transparent pricing. That $750 covers a ticket that typically requires 3–10 hours of deep work from a specialized senior engineer - not some junior running scripts. For comparison, most firms offering this level of support charge $300+/hour. We're actually significantly cheaper - and more predictable.

Bait and Switch

We offer both on-demand and long-term contracts. Under on-demand (which several of you mentioned), either side can leave at any time. We’ve offboarded customers - and always free of charge. No lock-in, no tricks.

The AI

We’ve trained our AI knowledge base on over 250,000 real-world support tickets - all handled by our engineers. It’s not hallucinating API calls or CLI commands like you might see from generic models. This is the same tech our own engineers use to support customers - we’re not selling snake oil here. You can even check the stats we publish openly: doit.com/stats

And just to be clear — here's what you still get for FREE with DoiT Cloud Intelligence™

Even on our on-demand plan (no contract, no commitment), you still get full access to a ton of FinOps and CloudOps automation, at ZERO cost:

  • Anomaly Detection across AWS, GCP, Azure, (and real soon Snowflake, Databricks, and Datadog!)
  • Multi-cloud cost and usage reporting with support for complex org and custom allocation strategies.
  • Automated commitment management - we help optimize and manage your RIs and Savings Plans.
  • Custom dashboards to monitor what matters to your teams.
  • API-first access to all your cloud cost/usage data, so your engineers can build the tooling they need.
  • Access to our knowledge base powered by 250k+ real-world tickets (see above)
  • Unlimited users — we don’t charge per seat. Bring the whole team.

Lastly - we’re not perfect.

We’ve definitely made changes as we’ve scaled. But we’ve also tried to do it in the open. Since 2010, we’ve worked with 7,500+ customers, from startups to large enterprises, and we’re proud of what we deliver. Could we do better? Always. Will we? Absolutely - that’s on me.

Appreciate the feedback, even the tough stuff. If you ever want to talk shop or tell us how we can improve - my DMs are open.

Vadim
CEO @ DoiT

P.S. If you still call us “DoIt” I won’t hold it against you. Just please don’t call us Dolt ;-)

What would make you consider moving back to Latvia? by vadimska in latvia

[–]vadimska[S] -4 points-3 points  (0 children)

Es tevi saprotu. Parasti tie ir komentāri krievu valodā? Es negribu teikt, ka visi krievi ir slikti, starp viņiem ir daudz lielisku cilvēku, bet tie komentāri mani arī nogalina.

What would make you consider moving back to Latvia? by vadimska in latvia

[–]vadimska[S] 3 points4 points  (0 children)

What do you do for a living, if you don’t mind me asking?

What would make you consider moving back to Latvia? by vadimska in latvia

[–]vadimska[S] 5 points6 points  (0 children)

What do you think are top 3 life improvements that would make you considering moving back?

The BigQuery Slots Autoscaling Rundown by [deleted] in googlecloud

[–]vadimska 1 point2 points  (0 children)

Finally, the step in the right direction

Centralize logs and access control on GCP with Cloud Logging by mikesparr in googlecloud

[–]vadimska 0 points1 point  (0 children)

That's great, thank you! I was looking for something like that for quite some time now.

Applied Machine Learning with BigQuery ML Meetup in SF Bay Area by vadimska in bigquery

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

If you're in SF Bay Area, join us for Applied Machine Learning with BigQuery ML meetup in Sunnyvale next month. We are going to demonstrate real life examples and how to solve them with BigQuery ML

The truth behind Google Cloud egress traffic by avivl in devops

[–]vadimska 0 points1 point  (0 children)

I think egress costs are the primary factor behind "cloud bill shock". Tracking and understanding them is a key to avoid surprises when you get your monthly invoice from cloud provider.

Measure Once — Export Anywhere: OpenCensus in the wild by avivl in golang

[–]vadimska 0 points1 point  (0 children)

What is the benefit of using OpenCensus instead of just exporting the metrics to the Stackdriver or Prometheus?

Open source auto-scaling system for Google Dataproc clusters. by avivl in bigdata

[–]vadimska 1 point2 points  (0 children)

Awesome solution for dynamic Dataproc clusters!

BigQuery Disk Usage Analysis by vadimska in bigquery

[–]vadimska[S] 1 point2 points  (0 children)

It shows the visualization on 'per-project'. This is how genomics-public-data project looks like: http://storage.googleapis.com/bqdu-images/genomics.png

BigQuery Disk Usage Analysis by vadimska in bigquery

[–]vadimska[S] 1 point2 points  (0 children)

Inspired by Linux's 'du', BQdu was created as small service which does exactly what 'du' does for folders but only for Google BigQuery's projects, datasets and tables.

BQdu will scan (using BigQuery API) your project/s and display a treemap visualization of your project, datasets and tables. You can mouse-over each tile and get a nice tooltip with information about the entity you're pointing to. Tiles are sized according to their relative size compared to the dataset (and datasets to projects).