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
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Pricing
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.
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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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.
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Updated weekly
By SolarWinds
By Dynatrace
Top
25
In Log Analysis
Top
10
In Generative AI, Log Analysis
Top
10
In Observability, Migration
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
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
Validated by AWS Marketplace
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GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Customer reviews
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?
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.
Manjunath K.
Unified Dashboard Makes Monitoring Effortless
Reviewed on Dec 18, 2025
Review provided by G2
What do you like best about the product?
I like the unified visibility across infrastructure, applications, and networks from a single dashboard, which simplifies monitoring and speeds up troubleshooting.
What do you dislike about the product?
The learning curve can be a bit steep initially, especially when configuring advanced features and fine-tuning alerts
What problems is the product solving and how is that benefiting you?
SolarWinds Observability solves the challenge of fragmented monitoring by providing unified visibility across infrastructure, applications, and networks, which helps us detect issues early and reduce troubleshooting time
Verified User in Information Technology and Services
Comprehensive Observability with Powerful AIOps Features
Reviewed on Dec 18, 2025
Review provided by G2
What do you like best about the product?
This platform offers comprehensive observability across public cloud, on-premises, network, and hybrid environments. It makes it easy to monitor metrics like CPU, memory, and network latency, and the dashboards are simple to customize. Integration with automation and ticketing tools is supported. The addition of AIOps features such as correlation and forecasting provides extra value.
What do you dislike about the product?
The initial deployment and configuration can be challenging, as it demands a high level of technical expertise. At present, it only supports ServiceNow ITSM out of the box, so integrating with other ITSM platforms requires custom work. Additionally, the pricing might be a concern for customers with smaller budgets.
What problems is the product solving and how is that benefiting you?
SolarWinds offers a unified interface for monitoring both cloud infrastructure services and network devices such as Meraki. This helps minimize downtime and improve mean time to resolution. The platform's automated alerts and API integrations further enhance the efficiency of incident response.