Summary

  • Green Cloud Technologies,LLC has more operating evidence than a dormant hosting label: ARIN ties AS54155 to Green Cloud Technologies,LLC, and RIPEstat's July 2026 view shows active IPv4 announcements, broad route visibility, and six observed neighbours. The route surface, however, proves reachability better than it proves site diversity, spare hardware depth, or customer recovery capacity.
  • The strongest company evidence is historical and transactional. 11:11 Systems said it closed the Green Cloud Defense acquisition in December 2021, described Green Cloud as a large independent channel-only IaaS provider, and listed data centers in Atlanta, Greenville, Houston, Minneapolis, Nashville and Phoenix. That evidence is real, but current customers still need a current placement schedule, not only an acquisition-era city list.
  • Green Cloud's routed estate looks blended. ARIN RDAP records tie some prefixes directly to Green Cloud, while other currently announced address blocks point to Cirrity, ipHouse, Advanced Network Solutions or INAP-assigned Green Cloud records. That is consistent with acquisitions, leased capacity and inherited infrastructure, but it also means ownership, facility access and support responsibility must be separated in any resilience review.
  • The public interconnection story is incomplete. RIPEstat sees neighbour ASNs including Cogent, Level 3, Zayo, Hurricane Electric, Megaport and Unitas, while PeeringDB returns no Green Cloud network profile for AS54155 and sampled RPKI checks returned unknown status. Those gaps do not make the service weak by themselves; they mark the parts that have to be proven contractually.
  • The evidence grade is Medium, not Strong. Green Cloud's public record supports a live cloud and network operating surface, but the brand has been integrated into 11:11, the Green Cloud-specific operating map is dated, and recovery depends on facility, transit, support and data-export details that public pages only partially disclose.

The cloud label hides a hardware business

Green Cloud Technologies,LLC is an example of why hosted capacity should be read from the rack outward, not from the brand inward. The company sold cloud infrastructure through partners. The customer saw a virtual machine, desktop, backup repository, recovery target or managed-security wrapper. The operating obligation underneath was more concrete: buildings, power, cooling, cabinets, hypervisors, storage shelves, routers, cross-connects, transit contracts, monitoring systems and technicians.

The public identity trail starts with the number resources. ARIN's RDAP record for AS54155 names GREENCLOUD and lists Green Cloud Technologies,LLC as the registrant. RIPEstat's AS overview uses the holder label "GREENCLOUD - Green Cloud Technologies,LLC" and marks the AS as announced in its July 2026 view. That is stronger evidence than a stale website because it shows a live internet control-plane presence tied to the legal name.

It is still not enough to buy resilience. An autonomous system number says which origin appears in global routing. It does not say which building hosts a customer's workload, whether two routers are in separate fire zones, whether the second transit commit can carry peak load, or whether spare disks and replacement servers are on site. AS54155 can establish an edge; it cannot by itself establish a recovery promise.

The brand history matters because Green Cloud moved from an independent channel cloud to part of a larger managed-infrastructure platform. 11:11 Systems announced the closing of its Green Cloud Defense acquisition in December 2021 and described Green Cloud as a channel-only IaaS provider serving managed-service providers, value-added resellers and IT consultants. The same announcement said those partners served more than 2,000 businesses and listed data centers in Atlanta, Greenville, Houston, Minneapolis, Nashville and Phoenix. For a buyer, those facts say the blast radius is not only Green Cloud's direct customer list. It also reaches downstream businesses that may know the local MSP better than the infrastructure operator behind the service.

That makes Green Cloud a dependency multiplier. When a direct cloud provider fails, the customer usually sees the vendor's name. When a channel cloud fails, the first visible party may be the MSP, reseller or consultant that packaged the service. The contractual support path may then run through several layers before reaching the people who can change a route, replace hardware or approve a migration. That is why Green Cloud's real operating surface is not just AS54155. It is AS54155 plus the partner channel, support queues, inherited platform components and current 11:11 placement policy.

Green Cloud's current evidence is live, but not simple

The most useful route snapshot is not the company slogan; it is the public routing state. RIPEstat routing status for AS54155 showed, in the July 2026 view used here, 30 IPv4 prefixes, 8,192 IPv4 addresses, full IPv4 visibility across the RIS peers reported in that output, no visible IPv6 announcement, and six observed neighbours. RIPEstat's announced-prefixes view included blocks such as 162.218.104.0/22, 198.71.76.0/22, 207.200.176.0/23, 45.42.134.0/24 and many individual /24 routes.

Those are not cosmetic facts. Thirty current IPv4 prefixes mean there is an active route surface to test. Broad collector visibility means the routes were not merely local or private advertisements at the time of the public observation. The absence of visible IPv6 in the same view is also a useful constraint: dual-stack readiness should not be inferred from the cloud label. Customers that depend on IPv6 reachability, IPv6-only monitoring, dual-stack failover or public-sector procurement requirements need present product evidence rather than a general claim that a modern cloud provider will have it.

The address records also show why a clean one-company narrative would be misleading. ARIN's RDAP record for 162.218.104.0 points to a Green Cloud block. ARIN's RDAP record for 198.71.76.0 also points to Green Cloud. But other announced ranges carry different clues: 207.200.176.0 points to Advanced Network Solutions, 162.244.152.0 points to Cirrity, and several INAP-assigned records carry Green Cloud labels. That pattern fits a provider that accumulated or operated across acquired, assigned and leased infrastructure rather than one that owns a single homogeneous address estate.

The Cirrity clue is especially important. Public reporting from VMblog on Green Cloud's Cirrity acquisition described Cirrity as an Atlanta cloud services provider. If a currently announced Green Cloud-originated prefix traces to Cirrity, that does not automatically prove where any present workload sits, but it explains why Green Cloud capacity should be reviewed as an inherited estate. Acquired platforms often bring separate storage designs, separate hypervisor versions, separate provider contracts, separate customer obligations and separate maintenance traditions. Integration can improve service; it can also leave hidden seams that only appear during a fault.

That is the first downgrade from a Strong reading. Green Cloud is visible on the internet. It is not a pure paper company. But the current route table is a composite map, and the public evidence does not let an outside reader say exactly which city, rack, supplier or cloud cluster underpins each customer workload.

The six-city list is useful, but it is not a placement guarantee

The 2021 acquisition announcement is the clearest public city list for Green Cloud. 11:11 listed Green Cloud data centers in Atlanta, Greenville, Houston, Minneapolis, Nashville and Phoenix. BusinessWire's acquisition announcement and PRNewswire's release about Tiger Infrastructure's portfolio company 11:11 Systems acquiring Green Cloud reinforce the same strategic story: Green Cloud was being folded into a larger connectivity, cloud and security platform.

The city list is valuable because it moves the analysis from a vague "US cloud" label to a set of physical markets. Atlanta is a major Southeast connectivity hub. Greenville gives a South Carolina headquarters and regional operating context. Houston, Minneapolis, Nashville and Phoenix are materially different risk zones for power, storm, staffing, carrier density and customer latency. A single provider with points in all six markets may offer useful placement choices. It may also have uneven depth across them.

The list is not a placement guarantee for any individual account. An MSP customer's virtual servers might sit in one city while backups sit in another. A disaster-recovery target might be reserved but under-sized. A desktop-as-a-service pool might be located according to support practice rather than data-sovereignty preference. A security service could store logs or tickets on a different platform from the compute service. Without a current quote, service schedule or architecture exhibit, the old city list should be treated as a geography to verify, not a promise to rely on.

11:11's current footprint broadens the context. Its cloud regions page says the company operates more than 25 facilities worldwide and that data security, stability and sovereignty are central to its cloud posture. The page also lists North American data centers in major cities such as Atlanta, Chicago, Dallas, Los Angeles, New York City, San Jose, Scottsdale and Toronto, plus other locations in states such as Virginia and New Jersey. That shows a larger parent footprint than the historical Green Cloud map.

For data sovereignty, larger is not automatically better. A broader platform can give more recovery options and more local placement choices, but it can also blur which legacy Green Cloud commitments still map to which current 11:11 region. Customers should ask for an exact placement matrix: production compute, replicated storage, backups, snapshots, management-plane logs, ticketing records, security telemetry and any cross-border support access. The relevant country is not only the company's US registration; it is each place where customer data, metadata and operational access may reside.

The service mix points to a capacity seller, not just a network

Green Cloud's old public description and 11:11's current product pages both point toward hosted capacity rather than simple connectivity. The 2021 acquisition material described Green Cloud as an IaaS provider with backup, disaster recovery, desktop-as-a-service and managed security services. 11:11's cloud overview now describes VMware-based public and private cloud hosting, migration support, security, compliance and backup. 11:11 Hosted Private Cloud emphasizes single-tenant private cloud, migration support, pre-built and tailored configurations, dedicated servers, storage choices and an N+1 resiliency model. 11:11 Flexible Cloud Environment and Colocation extends that language to bare metal, colocation, low-latency networking, monitoring and around-the-clock support.

That is a physical asset story. A private cloud requires enough dedicated server inventory to meet committed blocks. A bare-metal service requires actual hardware spares, firmware discipline and support staff who can reach the machine. A VMware service requires licensing, hypervisor lifecycle management, storage compatibility and migration tooling. A colocation extension requires facilities, cages or racks, cross-connect ordering, remote hands and power capacity. The customer buys an abstraction; the provider runs a hardware and contract business.

The 11:11 private-cloud page's N+1 language is helpful but not complete. N+1 can mean there is an extra component within a cluster, an extra power unit, an extra host, an extra array controller or a broader design philosophy. It does not necessarily mean dual-site failover, full live migration under every fault, or the ability to absorb a whole city outage. Customers should ask which layer has N+1 protection: compute hosts, storage controllers, aggregation switches, edge routers, power feeds, cooling, backup repositories and support personnel. The right answer differs by workload.

A small web service may need automatic restart and enough bandwidth. A regulated database may need synchronous or carefully governed replication, audit trails, retention guarantees and a documented exit procedure.

This distinction matters because Green Cloud's historical channel model can make capacity feel more elastic than it is. A partner can sell a service quickly. The infrastructure operator can only deploy, reserve and repair what it actually has. When hardware inventory, rack power or transit headroom becomes scarce, the failure is not visible as a marketing failure. It appears as slow provisioning, delayed upgrades, constrained restore windows, maintenance deferrals or support tickets that require a platform team.

The SLA shows where the customer is exposed

One of the most useful public documents for Green Cloud is the older Green Cloud Technologies service-level agreement and maintenance policy PDF. It is dated and should not be treated as a current contract without confirmation, but it is still a practical window into how Green Cloud framed failure boundaries. The document describes service availability around Green Cloud-owned infrastructure, planned maintenance, disaster-recovery tiers and support priorities. It also excludes pieces outside the provider's control, such as customer-side networks and broader internet dependencies.

That structure is normal for a hosted provider, and it is exactly why customers should read the boundary closely. If the service is reachable inside Green Cloud's edge but the customer's ISP path is broken, the cloud may count as available while the customer is down. If the virtual environment is up but a specific application is misconfigured, the infrastructure provider may not own the application outage. If a maintenance window is scheduled, the affected service may be unavailable without creating the same remedy as an unplanned failure. The practical question is not whether the SLA uses a high availability percentage.

It is which failures count, which do not, and who bears the operational pain in the middle.

The same document's support model is a reminder that labor is part of capacity. Priority-1 issues receive the fastest attention; lower-severity issues can wait. Emergency support outside standard hours focuses on critical incidents. Maintenance is treated as a normal part of service life. In other words, support is not an infinite pool of engineers. It is rationed by severity, schedule and entitlement. That is rational, but it becomes a customer risk when a restore, migration or cross-connect change falls below the highest priority even though the customer's own business is under pressure.

11:11's current support page continues the support-boundary theme at a larger scale. It lists global support numbers, account and console links, and separate contacts for cloud services, security services, connectivity services and billing. That separation is operationally useful, but it also tells customers to map failure ownership in advance. A Green Cloud-originated workload can fail through compute, security, connectivity, billing or access management. Each path may have a different queue and escalation practice.

The billing path deserves attention because cloud failures are not only technical. A suspended account, contract dispute, license mismatch, exhausted prepaid balance or failed payment method can create a downtime event that looks like an infrastructure issue to end users. A provider with channel partners adds another layer: the end customer may pay the MSP, the MSP may pay the upstream platform, and a dispute in either layer can affect service continuity. Resilience review should therefore include billing escalation and account-control rules, not only backup and routing diagrams.

Transit diversity is suggested, not proven

RIPEstat's ASN neighbours view for AS54155 observed six neighbours in the July 2026 data used here. The ASNs resolve to large or infrastructure-relevant names: Cogent, Level 3, Zayo, Hurricane Electric, Megaport and Unitas. That is better than seeing one lonely upstream in a public route view.

But BGP adjacency and physical diversity are different things. A route collector can see neighbours without telling the buyer whether those neighbours are full transits, partial peers, exchange routes, private interconnects or inherited sessions. Two apparently different upstreams may enter the same building through the same meet-me room or even depend on the same metro fibre cut. A Megaport session can be valuable for software-defined interconnection, but it still relies on the underlying access path, port, platform and remote endpoint.

A provider can have multiple logical paths and still be vulnerable to one facility outage, one cross-connect backlog or one change-control error.

PeeringDB would normally help fill some of that gap because it often lists facilities, exchanges, peering policy and traffic hints. In Green Cloud's case, a PeeringDB API lookup for AS54155 returned no network profile. Absence from PeeringDB is not a failure by itself. Many legitimate providers do not keep a profile current. Still, it removes an operator-maintained source that could have clarified interconnection sites, traffic policy or facility attachments. That is another reason the evidence grade stays below Strong.

Route-origin security is similarly incomplete from public checks. A sampled RIPEstat RPKI validation query for AS54155 and 162.218.104.0/22 returned unknown status because no validating ROAs appeared in that response. A second query for another current prefix produced the same kind of unknown result. Unknown RPKI status does not prove misrouting and does not mean the route is unusable. It means customers relying on strict route-origin validation should ask whether ROAs exist for the prefixes that actually carry their services, and if not, what the operator's route-security plan is.

Network visibility pages such as BGP.tools for AS54155, Hurricane Electric's BGP Toolkit and IPinfo's AS54155 page are useful cross-checks, but they have the same limit. They show reachability and routing metadata. They do not audit rack power, route diversity, restoration procedures or the commercial obligations underneath each session.

Acquisitions improved reach, and increased integration risk

Green Cloud did not stand still before 11:11. The company expanded by acquisition and by security-service layering. 11:11's archive page about Green Cloud reaching a definitive agreement to acquire Cascade Defense and the later Green Cloud acquisition and rebrand announcement show how the company moved beyond raw cloud infrastructure toward managed security. MSSP Alert's Cascade coverage framed the deal in the managed-security-provider market, while MSSP Alert's 11:11 acquisition coverage linked Green Cloud's cloud and security platform to 11:11's broader strategy.

Acquisitions are not inherently risky. They can bring capital, automation, new products, better security practices and deeper support. 11:11's acquisition announcement said the combination would add connectivity and security capabilities for Green Cloud's national channel-partner network. It also named technology and leadership continuity after the deal, which matters for operational handoff.

The risk is that acquired estates often age unevenly. One acquired cloud may use different storage replication, a different ticketing system, a different firewall standard, a different backup stack or a different set of facility contracts. Security services may have their own logging and monitoring dependencies. Channel partners may continue selling under old habits even as the upstream platform is being rationalized. A customer who only asks whether the provider is "11:11 now" may miss the more important question: which legacy platform actually hosts this workload?

This is why the Cirrity and Cascade history matters to a resilience review. Cirrity explains part of the cloud and address inheritance. Cascade explains the managed-security layer. 11:11 explains the current parent platform. None of those facts is bad; together they mean the customer should demand a map. The map should connect the named service to the physical site, address block, upstream path, backup target, security-monitoring stack, support queue and contractual entity.

Vendor partnerships show the platform's shape

Green Cloud's public technology references support the picture of a real hosted-capacity platform. A Cisco data-center blog about Green Cloud using Cisco UCS S-Series described the company's use of Cisco server infrastructure to support new lines of business. A VMware Cloud Provider blog profile of Green Cloud Defense placed the company within VMware's cloud-provider ecosystem. 11:11's cloud overview now continues that VMware-based framing.

These references are important because they move the discussion away from purely virtual language. VMware clouds run on hosts, clusters, datastores, management servers, licensing agreements and patch cycles. Cisco UCS environments have fabric interconnects, server profiles, firmware dependencies and storage choices. Fortinet and managed-security services have sensors, log-ingestion paths, analysts and escalation rules. Each layer can strengthen the service when managed well. Each layer can also introduce its own maintenance window or single point of operational failure.

Public technology-partner mentions are not capacity audits. They do not say how many servers are installed, how many are reserved, whether storage is all-flash or hybrid for a specific customer, or how fast a failed host can be replaced in each city. They do, however, tell buyers what to ask. A customer should ask whether its workload sits on VMware Cloud Foundation, vCloud Director, a legacy VMware stack, dedicated bare metal or a colocated platform. It should ask whether backups are on the same storage family as production. It should ask whether management access depends on a separate control network.

It should ask how licensing changes, especially in the VMware ecosystem, could alter price or migration timing.

The same applies to security. A managed firewall, SIEM or endpoint service can reduce risk when it is staffed and integrated. It can also create dependency on the security platform's own availability. If the security management plane fails, can customers still change firewall rules? If a SIEM ingestion path is delayed, who notices? If the service is resold through an MSP, who receives the alert, and who has authority to approve containment?

Channel customers inherit layered accountability

Green Cloud's channel-only orientation is not a footnote. 11:11's acquisition announcement described a national channel partner network of more than 700 MSPs, VARs and IT consultants serving more than 2,000 businesses. That means many affected end users may not experience Green Cloud as a direct vendor. They may experience it as their local technology provider's cloud, backup or security service.

Channel distribution changes incident behavior. A downstream business may call the MSP. The MSP may open a ticket with 11:11 or a legacy Green Cloud support path. 11:11 may need to involve cloud, connectivity, security or billing teams. A facility provider, carrier or hardware vendor may then be required to act. Each handoff costs time. Each party may have different visibility and different authority. During a small incident, this layering can be invisible. During a regional outage, a migration or a billing lock, it can become the difference between a measured recovery and days of uncertainty.

The best way to reduce that risk is to define escalation before failure. End customers should know which party can approve a restore, which party can authorize a failover, which party can export data, which party can change DNS, which party can provision replacement capacity and which party can communicate with affected users. MSPs should know whether they have console access, API access, emergency phone access and change authority outside business hours. The platform operator should know which channel partners have critical accounts and which accounts need special recovery plans.

Public information suggests the channel model was central to Green Cloud's growth. Green Cloud's Inc. 5000 profile and 11:11's archive page celebrating Green Cloud's fifth Inc. 5000 appearance reinforce that the company was a growth-stage infrastructure seller, not a static enterprise IT department. Growth can be positive, but in infrastructure it raises a capacity question: did support, hardware inventory, automation and recovery testing scale with the partner base?

Maintenance windows are part of the product

A hosted service often sells continuity, but it cannot avoid maintenance. Firmware updates, hypervisor patches, security updates, router maintenance, storage-controller changes, backup-platform upgrades and physical repairs all require planned work. The Green Cloud SLA and maintenance document makes that visible by describing maintenance windows and service-priority treatment. Again, the document should be confirmed against current 11:11 terms, but the operating reality remains true for any provider.

The practical question is how maintenance interacts with customer recovery. If production and backup are maintained in the same window, a failed change can affect both. If storage replication is paused during maintenance, recovery-point objectives may stretch. If a network change touches both primary and secondary paths, a hidden common dependency can appear. If a maintenance event is communicated through a portal that is also affected, customers may lose both service and status visibility.

Public status aggregators such as StatusGator's Green Cloud Technologies page, Rootly's external status-page listing and Netbeep's Green Cloud Technologies status page are unofficial signals. They should not be treated as authoritative incident history. They do suggest that external observers track multiple Green Cloud service components and that maintenance/outage communication is part of how customers experience the service. The evidence that would settle the question is an operator-controlled status archive, current maintenance policy and customer notification terms.

Maintenance also creates a data-portability issue. Customers often test backups when systems are healthy and then discover during a failure that exports are slower, less complete or more permission-bound than expected. A proper Green Cloud or 11:11 resilience review should include a timed export of the largest important workload, not only a restore from backup inside the same platform. Data exit is a physical and operational task: data must be read from storage, moved over a network, packaged in a usable format and handed to someone with authority to use it elsewhere.

Data locality depends on records, logs and recovery copies

The Green Cloud US service-area label is reasonable, but data locality should not stop at the country label. The historical data-center list is US-based. The current 11:11 cloud footprint is global. The company sells cloud, backup, disaster recovery, managed security and connectivity services. Each service can place different data in different places.

A regulated customer should ask for six locations, not one. First, where is the primary compute instance or bare-metal host? Second, where is the storage array that holds production data? Third, where are backups and snapshots stored? Fourth, where is disaster-recovery capacity reserved or pre-provisioned? Fifth, where do logs, monitoring records and security telemetry reside? Sixth, where do support tickets and remote administrative sessions originate?

The answer matters because cloud locality can fail by category. A customer may have production data in Atlanta, a backup copy in Phoenix, security logs in a parent-company platform, billing data in another system and support access from multiple countries. None of that is automatically wrong. It can even be useful for resilience. But it needs to be disclosed so customers can decide whether the placement fits privacy, contract, insurance, customer-commitment and sector rules.

The 11:11 cloud-regions page says the company focuses on data security, stability and sovereignty and emphasizes guaranteed physical residence. That is a useful promise to test. A buyer should ask for the written mechanism: does the guarantee apply by region, country, facility, cloud product or customer contract? Does it include backups? Does it include logs? Does it include managed-security telemetry? Does it survive a disaster-recovery failover? Does it survive support escalation?

The failure path is rack, route, repair, contract and exit

The most important Green Cloud failure path is not one catastrophic scenario. It is a chain. A customer workload sits on a physical platform. It reaches users through AS54155 or a parent/partner path. It depends on storage and backup policy. It is supported through a channel path and 11:11 service teams. It can be affected by maintenance, billing and contract state. It must be portable enough to leave if the service no longer meets requirements.

At the rack layer, the question is whether host, storage and network components have enough redundancy for the paid service tier. At the route layer, the question is whether observed neighbours translate into real, diverse, sufficient upstream capacity. At the repair layer, the question is whether spares and technicians are available in the city where the failure occurs. At the support layer, the question is whether the right people can act without waiting for channel handoffs. At the contract layer, the question is which events count against service commitments and which are excluded.

At the exit layer, the question is whether the customer can retrieve complete data and configuration on a deadline.

Green Cloud's public evidence supports asking those questions with specifics. AS54155 is active. Some prefixes map directly to Green Cloud. Others suggest inherited or assigned capacity. 11:11 publishes current cloud, private cloud, colocation and support pages. Historical Green Cloud material shows six US data-center markets, a large partner network and a service mix that included IaaS, backup, disaster recovery, DaaS and security. What public evidence does not show is a current per-product capacity map, audited failover test results, current customer export terms or per-site transit diagrams.

That is why the correct posture is neither dismissal nor blind trust. A dormant one-prefix shell would merit a much harsher conclusion. Green Cloud is not that. But a full Strong rating would require current operator evidence that maps the legacy Green Cloud estate into 11:11's present cloud regions, proves path diversity, documents RPKI status, explains acquired-address stewardship and shows how customers can recover or exit under stress.

What a customer should verify before relying on it

A customer or channel partner reviewing Green Cloud-backed capacity should start with the placement schedule. The schedule should name the production city, secondary city, backup repository, security-logging location and support jurisdiction for the actual service, not for the brand in general. It should say whether the account sits on legacy Green Cloud, Cirrity-inherited infrastructure, an INAP-assigned environment, 11:11 public cloud, 11:11 private cloud, flexible bare metal or colocation.

Second, the customer should request a routing and origin-security statement. AS54155 has live IPv4 announcements and observed neighbours, but the customer needs the prefixes used for the service, the upstream or peering design, the route-filtering policy and the RPKI state for those prefixes. If ROAs are not present, the provider should explain whether they are planned and how route hijack or route-leak risk is otherwise managed.

Third, the customer should test failover, not merely read recovery language. A restore test should measure detection, authorization, failover, application validation, user access, rollback and billing impact. It should include the channel partner if the customer buys through one. It should include the status and communication path. It should include a support escalation outside ordinary hours if the workload is supposed to be protected at all hours.

Fourth, the customer should test data exit. The export should include virtual-machine images or application data, metadata, backup catalog information, firewall rules, DNS dependencies, access-control configuration and logs needed for audit. The export should be performed over a realistic network path with a measured completion time. A backup that can only restore inside the same provider is useful for many incidents but limited public evidence for provider-contract failure or forced migration.

Finally, the customer should align the contract with the real failure path. The SLA should not be read as a single availability percentage. It should be read as a map of included and excluded dependencies: public internet reachability, customer configuration, planned maintenance, security incidents, third-party carrier faults, billing locks, partner errors and force majeure. The customer should know which failures produce credits, which produce operational help, and which produce neither.

Bottom line

Green Cloud Technologies,LLC sells a form of capacity that is visibly real but operationally layered. The public internet still sees AS54155. ARIN still ties the AS to Green Cloud Technologies,LLC. 11:11's acquisition record and current cloud pages support the view that Green Cloud became part of a broader managed-infrastructure platform rather than disappearing. Historical service documents, acquisition records and partner references show a company that sold IaaS, backup, disaster recovery, DaaS and security through a large channel network.

The downgrade is just as important. Green Cloud-specific city and service evidence is largely historical. The current public route table is blended across direct Green Cloud, acquired and assigned address records. PeeringDB does not supply an interconnection profile. Sampled RPKI checks are unknown. The support and maintenance model makes clear that repair windows, severity queues and excluded dependencies matter. The public record does not prove that every advertised or inherited location has equal spare capacity, equal transit diversity or equal restore depth.

For readers, the useful conclusion is practical. Treat Green Cloud as a live infrastructure dependency inside the 11:11 orbit, not as a simple cloud logo. Before placing critical workloads on it, require current evidence of site placement, route diversity, recovery capacity, support authority, maintenance practice and data portability. The value of the service is not only in the virtual machine or backup repository. It is in the racks, routes, people and contracts that still have to work when the easy path is gone.