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    SolarWinds Observability SaaS

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    Sold by: SolarWinds 
    Deployed on AWS
    Unified observability, purpose-built for DevOps teams to gain comprehensive visibility for cloud-native, custom web applications.
    4.3

    Overview

    SolarWinds Observability SaaS is purpose-built for DevOps and IT teams and provides unified and comprehensive visibility for cloud-native, custom web applications and from across the environment including applications, infrastructure, logs, databases, networks, and digital experiences.

    Service relationship views, dependency maps, and multi-level drill-downs are built to ensure optimal service levels and user satisfaction with key business services.

    Key Features

    • Unified application and infrastructure data delivers comprehensive visibility
    • Support for open-source frameworks, container technologies, and third-party integrations
    • AIOps enhanced with machine learning to help simplify the management of distributed environments and reduce alert fatigue
    • Automated instrumentation and dependency mapping
    • Quick to install and easy to use for superior time to value
    • Integrates easily with SolarWinds Hybrid Cloud Observability

    For custom pricing options, including different Logs retention periods or a private contract, please contact Sales@SolarWinds.com  for a private offer.

    See Additional Support below to sign up for a free trial or a custom demonstration.

    Highlights

    • Eliminate tool sprawl and gain comprehensive, single-pane-of-glass visibility with actionable intelligence across applications, infrastructure, websites, databases, networks, and user experiences
    • Accelerate issue resolution with built-in intelligence and actionable insights driven by data from across the environment
    • Reduce alert fatigue with AIOps, machine learning (ML), and a customized metrics-powered solution designed to automatically prioritize and surface real problems

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    SolarWinds Observability SaaS

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (6)

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    Dimension
    Description
    Cost/month
    Application
    Application Observability - Per Application Instance
    $32.00
    Network & Infrastructure
    Network Device 1:1, Host 1:1, Non-host Cloud Svcs 3:1, Container 10:1
    $13.80
    DEM Synthetics
    Digital Experience Observability - Packs of 10 Uptime Checks
    $12.00
    DEM RUM
    Digital Experience Observability - Packs of 100,000 page views
    $12.00
    Logs
    Log Observability - Per GB and Searchable Retention at 15 days
    $10.00
    Database Observability
    Database Observability - Per database instance, physical or virtual
    $81.00

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    Vendor terms and conditions

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    25
    In Log Analysis
    Top
    10
    In Generative AI, Log Analysis
    Top
    10
    In Observability, Migration

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Unified Observability Platform
    Comprehensive visibility across applications, infrastructure, logs, databases, networks, and digital experiences through a single-pane-of-glass interface
    AIOps and Machine Learning
    AIOps enhanced with machine learning capabilities to simplify management of distributed environments and automatically prioritize alerts to reduce alert fatigue
    Automated Instrumentation and Dependency Mapping
    Automated instrumentation with dependency mapping and service relationship views to identify multi-level relationships across services
    Open Source and Container Support
    Support for open-source frameworks, container technologies, and third-party integrations for cloud-native environments
    Rapid Deployment and Integration
    Quick installation with automated setup and easy integration with SolarWinds Hybrid Cloud Observability for reduced time to value
    AI-Powered Root Cause Analysis
    Automatically investigates alerts and pinpoints root causes with 5x faster analysis capabilities.
    Natural Language Query Interface
    Enables querying of observability data using conversational natural language to identify issues and receive actionable insights.
    Real-Time Anomaly Detection
    Detects system anomalies in real-time to prevent incidents before they impact users.
    OpenTelemetry Integration
    Supports standardized OpenTelemetry integration for unified data collection across logs, metrics, and traces in cloud-native environments including Kubernetes, serverless, and microservices.
    Multi-Tiered Storage Architecture
    Implements multi-tiered storage and data management capabilities to optimize telemetry costs and achieve 30% to 50% cost savings.
    Full-Stack Observability
    End-to-end monitoring of AWS applications and infrastructure from code level insights to end-user tracing with robust configuration options
    AI-Powered Root Cause Analysis
    Davis AI engine performs precise root cause analysis showing causation and correlation to drive automated remediation and reduce mean time to resolution
    Generative AI Application Monitoring
    Real-time monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with cost optimization, hallucination detection, and PII leakage guardrails
    Runtime Application Security
    Built-in Runtime Application Self-Protection that autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
    AWS Native Integration
    Out-of-the-box compatibility with 100+ AWS native technologies including EC2, Lambda, ECS, EKS, Fargate, Bedrock, and EventBridge for correlated event and performance analysis

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
    -
    -
    No security profile

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.3
    808 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    60%
    34%
    5%
    1%
    0%
    3 AWS reviews
    |
    805 external reviews
    External reviews are from G2  and PeerSpot .
    Shahan K.

    AI-Powered Monitoring at Its Best

    Reviewed on Mar 02, 2026
    Review provided by G2
    What do you like best about the product?
    I use SolarWinds Observability for Network monitoring, APM, NCM, IPAM, and DPA. The AI-driven capability helps me catch issues faster. I really like using NPM and APM because they help me with deeper monitoring. The initial setup was easy.
    What do you dislike about the product?
    Nothing as such
    What problems is the product solving and how is that benefiting you?
    SolarWinds Observability's AI-driven capabilities help me catch issues faster, and its NPM and APM provide deeper monitoring.
    Kalyan Kothali

    Unified dashboards have improved hybrid infrastructure monitoring and support daily operations

    Reviewed on Feb 25, 2026
    Review provided by PeerSpot

    What is our primary use case?

    Customers usually use SolarWinds Hybrid Cloud Observability  for infrastructure monitoring. Cloud and on-premises monitoring is something that we can do with SolarWinds Hybrid Cloud Observability . Beyond that, application service monitoring is also part of it. We are trying to use as much as possible the features that belong to SolarWinds Hybrid Cloud Observability  native out of the box. Those include networking, so network devices, routers, switches, all of which are monitored using SolarWinds Hybrid Cloud Observability  only.

    What is most valuable?

    Dashboards are the key thing in SolarWinds Hybrid Cloud Observability. When we are trying to look into the NOC team, or the command center, these are the dashboards that represent the uptime, downtime, and other things. Those are the things that are available at this point in time. While we are trying to present it to the management and try to get the insights, what is the trend? If that kind of reports needs to be generated for the last couple of weeks or a couple of months, we are having a hard time doing that. Live data is good for immediate action, specifically for the command center and the NOC team, but for the management, the live data is only a snapshot that they see at the current moment. However, they are more interested in the improvements or what has improved from the previous months. If we need to show that using SolarWinds Hybrid Cloud Observability dashboard, that is a challenge.

    I participated in the initial setup of SolarWinds Hybrid Cloud Observability. As a manager, I was managing the team and they did all the configuration. I have been informed on how the things are done, how much time we took to deliver it, and how many devices we initially configured, but not at the level of how we configured them.

    What needs improvement?

    The dashboard and reporting can be improved. The way the dashboards are being configured and presented in SolarWinds Hybrid Cloud Observability has certain challenges. The look and feel and ease of configuring are areas where we see difficulties. There are certain limitations where we are not able to select the range or live details. Specifically, I want to have a trend analysis on certain thresholds, but those are tricky and we are not able to do that. We are currently downloading that and then using Excel to represent it. Those kinds of features are missing as of now.

    AI features in SolarWinds Hybrid Cloud Observability, we only started this in 2024. We are still stabilizing the environment. AI is the next thing, so we did not start looking into that yet.

    Even the dashboards that we are trying to build to understand the trend analysis in SolarWinds Hybrid Cloud Observability show always the live information. What is the current state, how many monitors, how many are green, how many are amber, where we have warnings, what are at risk, is the live information that we could build from the dashboard. When trying to analyze the thresholds or how much increase we need to make, or what the trend is happening, getting into those details is difficult. Building those kind of reports is a tricky one. We struggle a lot in that area.

    For how long have I used the solution?

    ServiceNow  is the primary thing for me. SolarWinds Hybrid Cloud Observability and these are all the add-ons that come into my portfolio where I look into these as well.

    What do I think about the stability of the solution?

    The stability of SolarWinds Hybrid Cloud Observability would be rated at 8 overall. Usually there are no issues. Once we have built it, we are currently running it on-premises. We only take it down for the usual upgrades that have been sent from SolarWinds Hybrid Cloud Observability. Beyond that, we do not see any problem with the monitoring. We have to put a lot of communication in place because if we are trying to take SolarWinds Hybrid Cloud Observability down for upgrades, then obviously the entire observability or infrastructure monitoring is paused. There is no monitoring happening when it is down. That is a risk factor. Currently the configuration is not configured for a high availability. The organization is okay to take one or two hours down in a quarter. With that, the patches that are being applied means the entire monitoring goes dark specifically. That is acceptable for the organization. That risk has been accepted.

    What do I think about the scalability of the solution?

    The scalability of SolarWinds Hybrid Cloud Observability could be rated at 8. When we talk about scalability in SolarWinds Hybrid Cloud Observability, from the cloud perspective, the scalability is much easier. When we look from on-premises infrastructure, the scalability is not as easy as the cloud infrastructure because these are all physical servers. You have a physical node that adds capacity and we have the agents that we install or we have to choose whether to use agent-based discovery or agent-less discovery. We need physical servers that have to be deployed specifically. When we are talking about physical servers, there is a lengthy process on the scalability perspective. When it comes to cloud, it becomes pretty easy on the scalability. We could even program it to adjust the memory and the processing speeds that are required for that particular configuration. Technically looking from the hybrid model where we have physical on-premises and cloud infrastructure together, to balance that, I would rate it at 8.

    How are customer service and support?

    The technical support of SolarWinds Hybrid Cloud Observability is okay. I would rate it 7 for the technical support. I do not interact with the technical team of SolarWinds Hybrid Cloud Observability. It is my team who regularly interact if required. I have not heard any complaints or escalations from them because there are very few scenarios where they reach out to the technical support. It is not a frequent thing that happens. What I understand from my team interacting with them is that the time duration that we get is not immediate. They take at least 24 hours or 48 hours to respond and communicate. For the current situation, it is okay. We do not find any urgency, so it is acceptable for us.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    We are moving from a different tool. There are other observability tools such as ScienceLogic  and Netcool. From there, we needed to get the devices into SolarWinds Hybrid Cloud Observability. Initially, we were able to build the entire setup within 15 days. The entire infrastructure setup of SolarWinds Hybrid Cloud Observability has been built. The next one and a half months, or let us say two months, is something that we were able to bring up all of the 5,000 servers including VMs, data, physical Windows servers, Linux servers, and network devices into SolarWinds Hybrid Cloud Observability. That is the initial time that we took to configure SolarWinds Hybrid Cloud Observability. All of that has been brought in within two months.

    The deployment depends upon if we have cloud infrastructure heavily, then deploying it in cloud is more appropriate for SolarWinds Hybrid Cloud Observability. If we have more on-premises infrastructure, we should be going with a hybrid structure where nodes should be deployed. Currently, we have three nodes where we deployed it in three regions: Americas, EMEA, and Asia-Pacific. Similarly, if we have high utilization in cloud, we should be able to build one there in the cloud as well so that the pulling happens smoothly. It is all based on the infrastructure that we have, and we take the decision whether to put it in the cloud or put it on-premises.

    How was the initial setup?

    SolarWinds Hybrid Cloud Observability is something that we have implemented for one of our customers, specifically on SolarWinds Hybrid Cloud Observability cloud platform. I am leading the team and the resources have freshly implemented SolarWinds Hybrid Cloud Observability. We are also managing SolarWinds Hybrid Cloud Observability tool and making sure the monitoring is happening and reports are getting generated. New infrastructure is getting added to SolarWinds Hybrid Cloud Observability for monitoring. Trying to consolidate other monitoring tools such as PRTG or other things and bring other application services as well as infrastructure into SolarWinds Hybrid Cloud Observability is the overall project and it is more than a year. It is not something that has been completed; it is a continuous process where the platform has to be managed, new infrastructure has to be brought in, application service has to be brought in, and we need to make sure that the thresholds and other things are being managed properly. These are a few things that do not end once we start the project; until we are supporting the customer, we continue to do the maintenance and administration and also bring new infrastructure into SolarWinds Hybrid Cloud Observability. This is a continuous process and the target is also to integrate SolarWinds Hybrid Cloud Observability with ServiceNow  to get to the next level.

    We need to find the right vendor for SolarWinds Hybrid Cloud Observability. If we directly reach out to SolarWinds Hybrid Cloud Observability, it is an expensive one. We reached SolarWinds Hybrid Cloud Observability in India, and CDW is where we reached in the UK. We have to think from the global perspective to determine which country is giving us more effective cost. When working for a global organization where we have business across the entire globe, we have certain leverages. Getting quotes from different regions means we could buy it from anywhere. Because it is a global organization, we should be able to pick from the right place so that we could gain the right costing and discounts that we could leverage.

    What's my experience with pricing, setup cost, and licensing?

    SolarWinds Hybrid Cloud Observability is device-based. How many devices we want to bring on board determines the cost. Technically, we have built multiple clusters based on the regions that we want to locate. One is in the EMEA region, one is in Asia, and one is in the America region, and we have put them into the data centers. From there, the information gets pulled into SolarWinds Hybrid Cloud Observability. Based on that structure, the licensing would work. Based on the regions, the pricing and the vendor, the price quotations are different. We approached SolarWinds Hybrid Cloud Observability directly and the quotation that they gave was a very expensive one. We reached out to CDW and the price that CDW gave us is very effective and comes under our budget. We went to CDW and bought it.

    What other advice do I have?

    This project started in November 2024 and is still continuing. Before that, there was almost 2013 to 2016, where we did the same thing. There is a gap in between, but in between there are other tools that we have jumped into. We do not say it is constantly working around with SolarWinds Hybrid Cloud Observability but on and off we see our profile update.

    Network path visualization capabilities of SolarWinds Hybrid Cloud Observability remain unclear.

    We utilize the platform's anomaly detection in SolarWinds Hybrid Cloud Observability. We only know that we are using that, but our team is the best team to talk about how we do that and what are the current challenges or things that bring value to that. We do not get into those details because we are managing multiple tools at our level.

    Security of SolarWinds Hybrid Cloud Observability would be rated at 9. It is pretty strong because it follows all the protocols specifically covering the security space.

    Yashokanth Partkunan

    Modern dashboards and anomaly detection have improved insights but AI automation still needs work

    Reviewed on Feb 16, 2026
    Review provided by PeerSpot

    What is our primary use case?

    Most valuable features of SolarWinds Hybrid Cloud Observability  compared to the previous platform are not immediately apparent. However, since we have not fully moved to SaaS, I cannot comment on that because it is also in an earlier stage. There are some changes that I appreciate, especially the modern dashboard features. Additionally, SWIG-related products have improved, and there have been enhancements in reporting and dashboard improvements. The main purpose is to move to SaaS, but I do not have access to that yet, so I cannot comment on how that particular movement will work for SaaS since it is still in initiation. Overall, SolarWinds Hybrid Cloud Observability  is a good platform with some improved functions.

    Regarding AI features in SolarWinds Hybrid Cloud Observability , we currently depend on other AI features such as BigPanda  and other tools. There are some improvements in correlation, but it is still not fully automated. If you want to find the root cause analysis or something similar, you need a fully automated platform. For a certain level, it is working, but it needs some improvement.

    What is most valuable?

    SolarWinds Hybrid Cloud Observability  provides a huge benefit on this new platform. We can use it more efficiently with the customized reports and the dashboards.

    What needs improvement?

    Regarding AI features in SolarWinds Hybrid Cloud Observability, we currently depend on other AI features such as BigPanda  and other tools. There are some improvements in correlation, but it is still not fully automated. If you want to find the root cause analysis or something similar, you need a fully automated platform. For a certain level, it is working, but it needs some improvement.

    For additional features I would like to see in the future to make SolarWinds Hybrid Cloud Observability better, I would request root cause analysis, especially in identifying the features. There are still improvements being made, but we are currently integrating them with BigPanda and similar products. I expect those features to be built-in to this product.

    Improvement in capacity planning with actionable insights needs to be present, because capacity planning does not have pure planning methods or anything equivalent. The collection methods for capacity planning should be more accurate. There should be some changes expected in that area as well.

    For how long have I used the solution?

    I have been working in this field for five years. I have been working with SolarWinds Hybrid Cloud Observability for more than one and a half years since it started.

    How are customer service and support?

    Technical support by SolarWinds is as usual as it was previously, so I would rate it around three on a scale of ten.

    How would you rate customer service and support?

    Neutral

    How was the initial setup?

    We are a supporter of SolarWinds Hybrid Cloud Observability and provide technical support for SolarWinds products. You can consider us as an implementation and support partner.

    What about the implementation team?

    We are a supporter of SolarWinds Hybrid Cloud Observability and provide technical support for SolarWinds products. You can consider us as an implementation and support partner.

    What other advice do I have?

    Regarding network path visualization capabilities, I do not see much improvement in understanding application dependencies. I have not used that feature much, and even when I look at it, I do not see much improvement compared to the previous platform.

    With the platform's anomaly detection, there is an improvement. That is a good feature that will be more helpful in the correlation part as well. I can rate the effectiveness of its anomaly detection as something around six to seven on a scale of ten.

    My overall rating for this review is seven out of ten.

    Jay V.

    Clear, Practical Dashboard That Simplifies Database Monitoring Across Systems

    Reviewed on Jan 31, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about the SolarWinds database is how clearly it shows what is happening inside the database without making things confusing. Even if you are not a database expert, you can still understand where the problem is coming from. The dashboard feels clean and practical, not overloaded with unnecessary information. It saves a lot of time because you don't have to dig through logs or run multiple queries just to understand performance issues. Slow queries, high CPU usage, or memory problems are highlighted in a very straightforward way. This makes daily monitoring less stressful. Another good thing is how it works well with different databases. Whether it is SQL Server, MySQL, or another database, everything can be monitored from one place. This is very helpful when you manage multiple systems.
    What do you dislike about the product?
    One thing I don't like much is that the setup can feel heavy at the beginning. It takes some time to configure everything properly, especially if the environment is large. For new users the first few days can feel overwhelming. The pricing can also be a concern. For small teams or companies, it may feel expensive compared to simpler tools. Not everyone needs all the advanced features, but they still come as part of the package. Sometimes the alerts can feel too frequent if they are not tuned well. Without proper configuration, you might review notifications that are always urgent, which can become distracting.
    What problems is the product solving and how is that benefiting you?
    SolarWinds Database mainly solves the problem of not knowing what is wrong when a database slows down or behaves unexpectedly. In many systems, when performance drops, teams waste hours guessing the cause. This tool removes that guesswork. It clearly shows which queries are slow, which resources are being overused, and where bottlenecks are forming. Because of this, troubleshooting becomes faster and more accurate. You don't fix things blindly anymore. This directly benefits day-to-day work because issues are resolved before they affect users, applications stay stable, and downtime is reduced. that improves trust from both customers and internal teams. It also helps with long-term planning. By looking at historical data, you can understand growth trends and prepare for future loads. This avoids sudden crashes or last-minute fixes. It helps reduce stress during incidents because you don't have to panic or guess where the issue is coming from. The data is already there, clearly shown, so decisions feel clearer and more confident. It improves teamwork because developers, DBAs, and operations teams can all look at the same information. This avoids blame games and long discussions about whose system caused the problem. it save a lot of manual effort. Without this tool, people often run scripts, export logs, or check multiple tools. SolarWinds database brings everything into one place, which speeds up daily work. It helps avoid repeated problems. By understanding the real cause of past issues, you can fix them properly instead of applying temporary solutions that break again later. it improve overall application performance. When the datbase run smoothely, the apps depending on it also feel faster and more reliable for end users. It supports better decision-making for upgrades. You can clearly see when hardware, memory, or database tuning is actually needed, instead of upgrading blindly and wasting money. it build confidence with management and the client. When asked about performance or outages. You can show clear data and explanation,s which makes you look prepared and professional.
    Fabio Gontarski

    Monitoring has improved hybrid cloud uptime and simplifies troubleshooting across environments

    Reviewed on Jan 14, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I use SolarWinds Hybrid Cloud Observability  for monitoring the environment.

    What is most valuable?

    SolarWinds Hybrid Cloud Observability  offers observability with problems and issues for troubleshooting in the hybrid cloud environment.

    One example is monitoring a server instance with high CPU and memory usage, which I can troubleshoot effectively across SolarWinds Hybrid Cloud Observability .

    I appreciate the interface and alerts panel, which have a very good design.

    SolarWinds Hybrid Cloud Observability  has a full-time positive impact because I need to have great availability in my cloud environment.

    Positive changes include improvements in uptime, faster troubleshooting, and reduced downtime.

    What needs improvement?

    I think that SolarWinds Hybrid Cloud Observability can have improved integrations with other cloud providers, such as OCI , Oracle Cloud  Infrastructure, and Ocean Cloud.

    For how long have I used the solution?

    I have used SolarWinds Hybrid Cloud Observability for seven years.

    What do I think about the stability of the solution?

    I have experienced a problem with SolarWinds Hybrid Cloud Observability, although I cannot detail the specific problems I have encountered.

    What do I think about the scalability of the solution?

    The scalability of SolarWinds Hybrid Cloud Observability is faster.

    How are customer service and support?

    I found that customer support is adequate.

    How would you rate customer service and support?

    Which solution did I use previously and why did I switch?

    I previously used Grafana  as a different solution.

    I decided to switch from Grafana  to SolarWinds Hybrid Cloud Observability because SolarWinds has more options and features for my hybrid cloud environment.

    How was the initial setup?

    My advice to others looking into using SolarWinds Hybrid Cloud Observability is that it is very easy to install and deploy across my cloud ambient and server cloud providers.

    What other advice do I have?

    SolarWinds Hybrid Cloud Observability is deployed in private cloud and hybrid cloud environments.

    I use OCI , Oracle Cloud  Infrastructure, and AWS  Amazon Web Services  for my private or hybrid cloud setup.

    I also use Cloud Watching as a reference.

    I believe features about billing can exist, and I use it in AWS where the billing cost is managed.

    I would rate this product a 9 out of 10.

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