Many organizations start their cloud cost journey with native tools like AWS Cost Explorer, Azure Advisor, or GCP Cloud Billing reports. These tools offer initial visibility, but for SMBs and scale-ups managing more complex, multi-cloud environments, relying solely on them quickly reveals why native cloud tools not enough FinOps strategy can be a silent drain on resources. We’ve seen this pattern repeat: initial confidence followed by a slow realization that crucial insights are missing, and manual reconciliation becomes a recurring time sink.
The Illusion of Control: When Native Cloud Tools Aren’t Enough for FinOps
It starts innocently enough. You configure AWS Cost Explorer. Weekly reports are enabled. Budget alerts are in place. An email arrives every Monday morning, faithfully detailing cloud spend. This routine continued for eighteen months at one company. During an external audit, the consultant asked a simple question: “Who reads these reports?”
Silence. The DevOps lead thought the CTO read them. The CTO thought the CFO did. The CFO assumed it was automatic. A perfectly dysfunctional chain of trust. Seventy-eight emails. Zero reads. The tool worked perfectly. It was the human element that was on Network Only mode.
That’s the silent drain of unmanaged resources. According to the FinOps Foundation State of FinOps 2024, 32% of cloud spend is identified as waste before FinOps implementation. Native tools provide the data, but without a clear owner and actionable insights, that data often remains unread, leading to continuous overspend.
AWS Cost Explorer: Visibility, Not Control
For AWS-only environments, especially those under 50 VMs, you’ll find AWS Cost Explorer indispensable for understanding your current billing. It provides granular cost and usage data, allowing you to slice and dice spend by service, account, and even custom tags. It also offers basic anomaly detection and budget alerts, which can catch sudden spikes. What you won’t get is any answer about your Azure or GCP accounts—it simply doesn’t know those exist. For multi-cloud teams, this blind spot becomes a significant problem, as it provides only a partial view of your overall cloud financial health.
I run this command every Monday morning on our staging accounts—the delta between weeks is where the waste often hides, especially for EC2 instances:
aws ce get-cost-and-usage \
--time-period Start=2024-02-01,End=2024-03-01 \
--granularity MONTHLY \
--metrics BlendedCost \
--group-by Type=DIMENSION,Key=SERVICE \
--filter '{"Dimensions":{"Key":"SERVICE","Values":["Amazon Elastic Compute Cloud - Compute"]}}'
Azure Advisor: Recommendations, Not Action
Azure Advisor integrates directly into the Azure portal, providing personalized recommendations across five categories: Cost, Security, Reliability, Operational Excellence, and Performance. For Azure-centric teams, it’s a valuable source for identifying underutilized resources, right-sizing opportunities, and potential cost savings on a single cloud. However, its primary function is to *recommend*. Implementing those recommendations often requires manual intervention or integration with other automation tools. At scale, the sheer volume of recommendations can overwhelm teams without a systematic way to prioritize and automate actions. Like Cost Explorer, it offers no visibility or control over other cloud providers.
To pull a list of cost-related recommendations for a specific resource group, you might use:
az advisor recommendation list \
--resource-group <your_resource_group_name> \
--category Cost
GCP Cloud Billing Reports: Data, Not Insights
GCP Cloud Billing offers highly detailed billing reports, allowing you to export your cost data directly to BigQuery for in-depth analysis. This provides immense flexibility for data engineers and FinOps specialists who want to build custom dashboards and perform complex queries. However, this flexibility comes with a caveat: it’s largely a reporting tool. Out-of-the-box, it lacks the proactive optimization features found in dedicated FinOps platforms. To generate actionable insights or automate savings, you’ll need to invest significant engineering effort in building custom solutions, which can be a bottleneck for fast-moving scale-ups. It’s also, by design, limited to GCP resources.
Understanding who has access to your billing account and its configuration is a critical first step in governance:
gcloud beta billing accounts describe <BILLING_ACCOUNT_ID>
The FinOps Gap: Why Multi-Cloud & Scale Demand More
Native cloud tools, while powerful within their respective ecosystems, fundamentally lack the cross-platform visibility and automation required for effective FinOps in a multi-cloud or large-scale single-cloud environment. When you’re running 80+ VMs across two providers, the problem of reconciling disparate billing reports can consume up to three days per month for your team. This manual effort directly impacts productivity and delays critical optimization decisions.
Flexera’s 2026 State of the Cloud Report highlights that 85% of enterprises still cite cloud spend management as their #1 challenge, despite the maturity of native tooling. This isn’t just about spotting waste; it’s about shifting to business value delivery, which 64% of respondents now prioritize (Flexera 2026). Native tools simply don’t offer the unified view or the automated action layer needed to achieve this at scale.
This is precisely where dedicated FinOps platforms come into play, offering a consolidated view across providers and a suite of automated optimization capabilities that go beyond basic reporting. For more on this, you can explore Why Your Cloud Bill Keeps Growing Even When Usage Doesn’t.
Thalaxo Cloud: Bridging the Multi-Cloud FinOps Divide
Thalaxo Cloud launched in 2025 to address the specific pain points of multi-cloud FinOps. The platform aims to provide a unified approach to cloud cost optimization, moving beyond mere reporting to actionable automation. For instance, its rightsizing worker runs every 12 hours, ensuring recommendations are fresh, while idle detection workers run every 6 hours to quickly flag forgotten resources. The Smart Scheduler, available from the Growth tier, can achieve significant savings—for example, a Dev/staging environment running 8h/day instead of 24h results in 67% compute savings.
Thalaxo currently supports 5 cloud providers, with full FinOps automation (rightsizing, idle detection, Smart Scheduler, drift detection) in production for AWS and Azure. GCP is in rolling deployment, with core visibility and rightsizing live, while Jotelulu and Alibaba Cloud integrations are ongoing. While a newer platform (launched 2025), it’s actively pursuing security and compliance milestones, with SOC 2 Type II audit in progress (started June 2026) and ISO 27001 certification initiated (target December 2026). Kubernetes workload-level cost allocation is on the product roadmap for Q3 2026, which will further deepen its integration capabilities. You can find more details on our integrations page and review our pricing tiers.
The Verdict for Your Profile
Making the right tool choice depends on your specific operational context:
- If you are AWS-only and manage fewer than 50 VMs: AWS Cost Explorer is likely sufficient for your basic visibility and budget alerting needs. It covers your spend data and can flag anomalies, helping you identify obvious overspends within that single provider.
- If you are multi-cloud or manage more than 100 VMs on a single provider: Native tools will create siloed views, leading to significant manual effort for reconciliation and delayed optimization decisions. The lack of cross-cloud automation for rightsizing, idle resource management, and scheduling will directly translate into higher cloud bills and operational overhead. This is where a dedicated FinOps platform becomes essential to unify data and automate actions.
- If you already use Datadog or another APM for observability: Datadog excels at performance monitoring, tracing, and log management. It can correlate application performance with infrastructure metrics. However, it is an APM, not a FinOps tool. Datadog’s cost features provide cost visibility *per service/resource* based on usage metrics, but it doesn’t offer proactive, automated rightsizing recommendations, idle resource detection, or multi-cloud scheduling based on pricing catalogs and instance types. The gap is cost *allocation and optimization* versus *performance monitoring and observability*.
Conclusion
As your cloud footprint grows and spans multiple providers, the limitations of native cloud tools become glaring. While they serve as foundational reporting mechanisms, they often fall short in providing the unified visibility, automated optimization, and actionable intelligence that modern FinOps demands. Embracing a dedicated FinOps platform can transform your cloud cost management from a reactive, manual chore into a proactive, automated, and strategically aligned process. This shift is critical for any SMB or scale-up aiming to optimize spend and deliver business value in an increasingly complex cloud landscape.
