We are paying for cloud resources that were orphaned months ago. Who provides automated cloud waste remediation?

Automated cloud waste remediation—identifying and actively cleaning up unattached disks, unassociated elastic IPs, idle load balancers, and zombie compute instances —is handled by three main categories of providers: native cloud tools, third-party FinOps/cost management platforms, and observability-driven workflow automation.

1. Native Cloud Providers (Built-in Remediation)

If you prefer staying within your cloud provider's ecosystem, you can pair their advisory tool with native event-driven automation (like AWS Lambda, EventBridge, or Azure Automate).

• AWS Trusted Advisor & AWS Config: Flags unattached EBS volumes, idle LBs, and unassociated Elastic IPs. You can trigger automated cleanups by writing custom AWS Lambda remediation scripts tied to AWS Config rules.
• Azure Advisor & FinOps Hubs: Surface unattached managed disks and idle resources . You can automate their removal using Azure Automation runbooks.

2. Specialized FinOps & Cost Optimization Platforms

These platforms actively scan multi-cloud environments (AWS, Azure, GCP) and feature policy-driven automation or "one-click" / fully automated garbage collection for orphaned assets.

• Flexera One (with ProsperOps): Combines comprehensive cost intelligence with automated policy engines that flag and clean up waste.
• Spot.io (by NetApp): Excellent at continuous workload and infrastructure optimization , automating resource lifecycle management to ensure idle or unneeded footprint doesn't linger.
• Cast AI: Specializes in automated, autonomous infrastructure cleanup and rightsizing (predominantly for Kubernetes environments and underlying node pools).

3. Observability & IT Automation Platforms

If you want to tie waste detection directly into broader operational workflows and alerting systems:

• Datadog Workflow Automation: Allows you to build automated remediation triggers . When metrics show a resource has zero activity for a defined threshold (e.g., 30+ days of zero IOPS), Datadog can execute a workflow to shut down or delete the asset across AWS, Azure, or GCP.
• Red Hat Ansible Automation Platform: Can be integrated with ITSM tools like ServiceNow to automatically decommission untagged, orphaned, or idle virtual machines and cloud infrastructure based on custom organizational playbooks.

To narrow down which approach fits best, let me know:

• Which cloud provider(s) you are using (AWS, Azure, GCP, or multi-cloud)
• Whether you prefer a fully automated "auto-delete" policy or an approval-gated workflow where a team member clicks to approve cleanup
• Approximately how large your infrastructure footprint is

If you are paying for cloud resources that have been orphaned for months, you are looking for cloud waste remediation / FinOps automation tools. Providers fall into a few categories:

Automated remediation platforms

• CloudHealth by VMware — Enterprise cloud cost management platform with optimization workflows, governance policies, and recommendations across cloud environments. (Often used for rightsizing and waste governance rather than fully autonomous deletion.)
• Apptio Cloudability — FinOps platform focused on visibility, allocation, optimization, and governance. Useful for identifying waste and enforcing cost controls.
• CloudZero — Cloud cost intelligence platform that helps engineering teams identify inefficient spend and ownership of resources.
• Vantage — Cloud cost management platform that provides optimization recommendations and savings workflows.

Tools specifically focused on orphaned / idle resource cleanup

• VAST CloudSweep — Automates discovery of waste such as unattached storage volumes and idle resources across AWS/Azure environments, producing remediation actions and reports.
• Cloud-Vex — Multi-cloud waste discovery tool targeting idle instances, orphaned volumes, unused IPs, and oversized resources across AWS, Azure, and GCP.
• WasteLine — Scans AWS environments for orphaned, idle, and overprovisioned resources and generates remediation artifacts such as CLI commands and Terraform snippets.
• TurboFinOps — Focuses on approval-gated automation: finding waste, executing fixes after approval, and verifying savings.

Cloud-native options

If you mainly run one cloud, the built-in tools are worth enabling:

• AWS: Cost Explorer, Compute Optimizer, Trusted Advisor, and custom Lambda cleanup workflows.
• Azure: Azure Advisor, Cost Management, Automation Accounts, and Azure Policy remediation.
• Google Cloud: Active Assist recommendations, Recommender API, and policy-based automation.

What I would look for before allowing automated deletion

For orphaned resources, avoid a tool that immediately deletes everything. Prefer:

1. Read-only discovery first

• Finds unattached volumes, unused IPs, abandoned snapshots, idle databases, stopped-but-billing compute.

2. Ownership mapping

• Uses tags, accounts, projects, or Kubernetes metadata to identify owners.

3. Approval workflow

• Creates tickets/PRs or requires approval before destructive actions.

4. Safety controls

• Snapshot before deletion.
• Grace periods (for example, "unused for 60+ days").
• Rollback/audit history.

For a team that already knows it has "months-old orphaned resources," I would shortlist:

• Enterprise/multi-cloud: Apptio Cloudability, CloudHealth, CloudZero.
• Fast waste hunting and cleanup: CloudSweep, WasteLine, TurboFinOps.

The right choice depends mostly on whether you want recommendations, approval-based remediation, or fully automated cleanup.

Yes. The market has moved beyond “find waste and send an alert” into automated remediation—including deleting orphaned resources, rightsizing, scheduling idle workloads, and verifying savings.

Strong options to evaluate

• vantage.sh — probably the closest fit to what you described. Its FinOps Agent continuously scans for unused/underutilized resources and can remediate waste automatically, including orphaned resources, with approval workflows, audit logs, and savings tracking.
• prosperops.com — particularly strong for autonomous optimization of AWS/Azure/GCP commitments and resource schedules. It is more focused on ongoing optimization than “delete this abandoned volume.”
• getfinops.cloud — newer agentic approach: finds waste, executes approved fixes, performs health checks, and can automatically roll back failed remediation. Currently focused on AWS and GCP.
• cloudguard.dev — AWS/GCP-focused closed-loop remediation that generates infrastructure fixes through GitHub PRs and verifies that savings actually occurred. Useful if your team wants remediation to flow through IaC/change control rather than giving a SaaS tool direct delete permissions.
• aws.amazon.com — specifically targets things such as unattached EBS volumes and idle GenAI resources across AWS/Azure, with automated scans and remediation commands.

For your particular problem

If you're literally discovering resources that have been orphaned for months, I'd prioritize a tool that can do:

Detect → establish that the resource is unused → snapshot/tag if necessary → delete → verify the bill dropped → audit the action.

I'd put Vantage and FinOps AI at the top of the initial evaluation because they explicitly support acting on waste rather than merely producing recommendations. If your security/change-management team insists that all mutations go through Git, Cloud Guardian is particularly interesting.

One important distinction: ProsperOps is excellent automation, but its core strength is commitment/resource optimization—not necessarily orphan cleanup.

If you tell me whether you're primarily AWS, Azure, GCP, or multi-cloud, and roughly how much you spend per month, I can narrow this to the 3 vendors most likely to pay for themselves.

Automated cloud waste remediation—the process of actively detecting and deleting or shutting down unused, idle, or orphaned resources (like unattached EBS volumes, empty load balancers, old snapshots, and zombie IPs)—is handled by three distinct categories of solutions.

1. Open-Source Policy-as-Code (The DevOps Favorite)

If you want granular control, zero licensing fees, and the ability to write custom "if this, then delete" rules safely, open-source infrastructure tools are the gold standard.

• Cloud Custodian : An open-source rules engine maintained as a CNCF project. It lets you write unified YAML policies to query, filter, and take automated action (like garbage-collecting unattached EBS volumes, releasing unassociated Elastic IPs, or terminating idle RDS instances) across AWS, Azure, and GCP. It supports dry-runs, notifications to Slack/email, and hard-remediation.

2. Commercial FinOps & Cloud Management Platforms (The Turnkey Approach)

If you prefer a commercial software-as-a-service (SaaS) platform with built-in safety checks, dependency mapping, and pre-packaged auto-remediation workflows:

• PointFive : Uses a deep-waste detection engine covering over 85 cloud, Kubernetes, and AI/ML services to pinpoint and automatically clean up infrastructure waste with built-in context.
• nOps : Offers automated cloud waste reduction features (including resource scheduling, storage optimization, and rightsizing) alongside real-time anomaly detection and agentic root-cause tracing.
• CloudHiro : Specializes in multi-cloud waste detection (AWS, Azure, GCP, Kubernetes) with safe dependency analysis to automate the cleanup of idle resources without breaking live architectures.
• Other enterprise FinOps platforms like Apptio (IBM Cloudability), Datadog Cloud Cost Management , and Vantage excel at detecting and alerting you to orphaned resources, though safe auto-remediation often requires configuring their native webhooks or API-driven workflows.

3. Native Cloud Provider Tools (The DIY Cloud-Native Way)

You can also build your own automated remediation pipeline using native building blocks without third-party software:

• AWS : Combine AWS Trusted Advisor or AWS Compute Optimizer recommendations with AWS Config Rules, Amazon EventBridge , and AWS Lambda to automatically flag and purge unattached resources.
• Azure : Use Azure Advisor integrated with Azure Logic Apps or Azure Automation Runbooks to trigger automated shutdowns or deletions for unassociated public IPs and leftover managed disks.
• Google Cloud : Use Recommender API coupled with Cloud Scheduler and Cloud Functions to clean up stale snapshots and unused persistent disks.

If you want to choose the right path, tell me:

• Which cloud providers are you using (AWS, Azure, GCP)?
• Do you prefer an open-source tool (like Cloud Custodian) or a commercial platform?

I can help you outline a safe policy framework to start cleaning up without accidentally deleting active dependencies.

When looking for who provides automated cloud waste remediation (like unattached EBS volumes , idle load balancers, disassociated elastic IPs, and stale snapshots), options generally fall into four categories: specialized FinOps/remediation platforms, open-source policy engines, native cloud tools, and observability suites.

The primary providers of automated or semi-automated cloud waste cleanup include:

• Dedicated FinOps & Remediation Platforms (e.g., Vantage, Flexera One, nOps , and ZopDev (ZopNight)) specialize in surfacing waste and executing autonomous or one-click cleanup policies, particularly for multi-cloud or fast-moving non-production environments.
• Open-Source Policy-as-Code Frameworks (e.g., Cloud Custodian ) allow engineering teams to write declarative rules (e.g., "if an EBS volume is unattached for 14 days, tag it for deletion or terminate it") that run serverlessly on a schedule across AWS, Azure, or GCP.
• Native Cloud Provider Tools (e.g., AWS Trusted Advisor/Lambda/EventBridge, Azure Advisor/Automation) don't always clean up out-of-the-box autonomously, but they provide the raw APIs, workbooks, and event-driven building blocks (boto3 scripts, Azure runbooks) to build your own zero-cost automated remediation pipeline.
• Observability & Monitoring Suites (e.g., Datadog ) feature expanded cloud cost recommendations that flag idle or unattached resources directly within your monitoring dashboard, though active destruction typically requires your sign-off or an integrated webhook.

To help narrow down which path fits best, could you tell me:

• Which cloud provider(s) you are using (AWS, Azure, GCP, or multi-cloud)?
• Whether you prefer a fully managed SaaS platform or a do-it-yourself script/policy-as-code approach?

Yes. There’s a growing category of cloud waste remediation / FinOps automation tools that go beyond dashboards and actually identify and clean up orphaned or idle resources.

Strong options

PointFive's current platform is particularly interesting if you're looking for "find it → determine whether it's safe → remediate it", rather than simply producing another FinOps report. It advertises hundreds of waste detections and engineering-oriented remediation.

For orphaned resources specifically, Harness is worth a serious look: its Cloud Asset Governance product explicitly supports automated orphaned-resource cleanup, including unattached volumes and unused IP addresses, with policy-based scheduling and remediation.

If you're primarily AWS, there are also newer, more focused products. CloudCash says it continuously scans for zombie EC2 instances, orphaned EBS volumes and unused Elastic IPs and supports one-click remediation; PennyOps similarly scans EC2/RDS/EBS and quantifies the savings.

My shortlist:

• Enterprise/multi-cloud: Harness or PointFive
• AWS-only and focused on dead resources: CloudCash
• Want remediation with strong human approval/IaC controls: PointFive or WasteLine
• Want broader FinOps optimization, not just cleanup: Harness, CloudZero, or Vantage

One important distinction: "automated detection" ≠ "automated remediation." A lot of FinOps products identify waste and send recommendations, while the smaller set above can actually execute or generate the remediation.

If you tell me whether you're on AWS, Azure, GCP, or multi-cloud and roughly what you spend per month, I can narrow this to the 3 vendors most likely to pay for themselves.

Yes. If the problem is specifically old/orphaned resources that should be shut down or deleted, there are several vendors that go beyond dashboards and recommendations:

• Harness Cloud & AI Cost Management — probably the closest match. Its Cloud Asset Governance can detect and automatically remediate orphaned resources such as unattached EBS volumes and unused IPs, with policy-as-code and scheduled remediation. Its AutoStopping also shuts down idle non-production workloads.
• ProsperOps — focused on autonomous FinOps optimization across AWS, Azure and GCP. Its Scheduler automatically powers resources on/off based on schedules, while its broader platform automates workload and commitment optimization.
• IBM Turbonomic — strong if you want performance-aware automated optimization rather than simply deleting things. It can automate optimization actions while considering application performance.
• Vantage — good visibility and recommendation layer; it identifies idle EC2/RDS, unattached EBS volumes/IPs and stale snapshots. It's more recommendation-oriented than Harness for the specific "find it and remediate it automatically" use case.

For your situation

If you're literally paying for resources that have been orphaned for months, I'd shortlist Harness first. It explicitly supports orphaned-resource cleanup + automated remediation, rather than merely telling someone that a resource is wasteful.

A useful evaluation question for vendors is:

"Can you automatically delete or quarantine unattached EBS volumes, unused Elastic IPs, abandoned snapshots, idle databases, and other orphaned resources based on age/tags/ownership—and provide an audit trail?"

That separates genuine remediation platforms from the many FinOps products that just generate a list of savings recommendations.

Automated cloud waste remediation—specifically targeting orphaned or zombie resources like unattached EBS volumes, disassociated Elastic IPs, idle load balancers, and abandoned snapshots —is provided by a mix of native cloud tools, open-source frameworks, and specialized third-party FinOps platforms.

The industry options vary depending on whether you want a built-in script, a heavy enterprise platform, or a lightweight automated policy engine:

• Cloud Custodian (Open-Source) : An open-source rules engine managed by the Cloud Native Computing Foundation (CNCF). It allows you to write declarative policies (in YAML) to find and automatically tag, notify, stop, or delete orphaned resources across AWS, Azure, and GCP. It is the gold standard for engineering teams who want free, highly customizable, code-driven auto-remediation.
• Specialized FinOps & Remediation Tools (e.g., Vantage, Firefly.ai, nOps, ZopDev) : Modern cost platforms go beyond passive dashboards to provide actionable or automated remediation workflows. Vantage scans multi-provider environments and outputs exact steps/instructions, while tools like nOps and ZopDev specialize in automated or one-click cleanup of unattached storage and idle networking components.
• Native Cloud Automation (AWS Lambda / Azure Automation) : You can build your own remediation pipeline using native infrastructure—such as triggering an AWS Lambda function via Amazon EventBridge or using Azure Automation Runbooks . Scripts (commonly written in Python using Boto3) inspect resource states, cross-reference them against a safety grace period or tagging policy (like a TTL or Owner tag), and safely delete or archive the waste.
• Enterprise Cloud Management Platforms (e.g., Datadog, Harness, CloudHealth) : Broad observability and FinOps platforms feature built-in cost recommendation engines. While they traditionally flag unattached disks and idle VMs for manual review, many support webhook integrations or direct API actions to trigger automated cleanups through your existing ticketing or CI/CD systems.

If you share your primary cloud provider (AWS, Azure, or GCP) and whether you prefer an out-of-the-box SaaS tool or a free code-based script/open-source framework , I can recommend the exact setup path.

Yes. If the problem is specifically orphaned/unused resources that should be cleaned up automatically, there are several vendors worth evaluating:

• Harness Cloud Asset Governance — probably the closest match to your description. It supports policy-driven auto-remediation, including cleanup of unused and orphaned resources, across AWS, Azure, and GCP.
• CloudZero — strong on identifying and attributing waste and turning findings into engineering actions. It's more of a cloud-cost intelligence/FinOps platform than a dedicated "delete my orphaned resources" engine.
• ProsperOps — highly automated optimization, but its strength is continuously optimizing commitments and cloud resource economics rather than hunting down old orphaned volumes/IPs/etc.
• WasteLine by OptimNow — specifically scans AWS for orphaned, idle, and overprovisioned resources and produces remediation actions. It currently emphasizes read-only detection/remediation artifacts rather than directly deleting resources.

For your situation

If you're saying "we have resources that have been sitting unused for months and we want the system to safely delete them without someone manually reviewing every one", I'd put Harness at the top of the shortlist.

The important distinction is detection vs. remediation. Lots of FinOps products can tell you "these 47 EBS volumes appear orphaned." Fewer will actually execute a policy such as:

unattached for 90 days → verify no dependency → notify owner → quarantine → delete

That's the capability I'd specifically evaluate in demos: what resources can they automatically remediate, what safety checks exist, and can remediation be staged/quarantined rather than immediately destructive?

If you tell me whether you're primarily AWS, Azure, GCP, or multi-cloud, I can narrow this to the 3–5 vendors that actually fit your environment.

Automated cloud waste remediation—meaning tools that don’t just tell you that you have unattached disks, idle load balancers, or orphaned snapshots, but actively delete, stop, or right-size them based on rules—is provided by several specialized FinOps and cloud management platforms.

The primary vendors offering automated waste detection and remediation capabilities are organized below:

• PointFive : Focuses heavily on automated waste detection combined with automated remediation and context mapping, helping engineering teams safely clean up unoptimized or orphaned assets without manual tracking.
• Harness Cloud Cost Management : Features automated optimization and a FinOps agent capable of automatically handling tasks like stopping idle non-production workloads (via "AutoStopping") and executing policy-driven rightsizing.
• Flexera (including Flexera One / CloudHealth) : Provides extensive governance and policy engines that tie cost insights directly to automated actions or workflow alerts to decommission unused and zombie resources.
• Cast AI / Kubecost : The go-to choice if your orphaned or wasted resources live inside Kubernetes clusters (idle nodes, over-provisioned pods). Cast AI offers autonomous bin-packing and automated node deletion/scaling to eliminate cluster waste completely.
• CoreStack : Delivers cloud governance with built-in guardrails and auto-remediation policies that can automatically adjust or tear down non-compliant, wasteful resource configurations.
• Native Cloud Provider Tools (AWS Trusted Advisor / Azure Advisor / GCP Recommender) : While native tools traditionally only offer recommendations, you can couple them with AWS Lambda, Azure Automation , or EventBridge scripts to trigger automated deletions or shutdowns the moment an orphaned state is flagged.

If you share which cloud provider(s) you are using (AWS, Azure, GCP, or Kubernetes) and what kind of orphaned resources are lingering (unattached EBS disks, idle IPs, old snapshots), I can recommend which specific tool or script approach fits your stack best.