Sold by: IBM Software
Deployed on AWS
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Observe your AWS environments in real-time with high-fidelity data that helps you find and fix problems before they impact users. Request an annual contract through this specific listing.
4.4
Overview
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Instana Application Incident Remediation
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Instana Full-Stack Observability
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Instana Cloud Native Optimization
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Instana Digital Experience Monitoring
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Instana and GenAI
Instana redefines performance monitoring for cloud-native applications, delivering speed, efficiency, and automation. It's the ideal complement to AWS, enabling agile development and real-time adaptability to evolving infrastructure and application dynamics. With Instana, auto-discover application components, trace requests, and map dependencies effortlessly, ensuring unparalleled visibility to navigate rapid changes effortlessly.
Our industry-leading 1-second granularity and comprehensive request tracing guarantee no issue escapes detection. Gain full-stack visibility across application code, Kubernetes containers (EKS/ECS), and micro-services with user-friendly dashboards and SmartAlerts™ for tailored alerts. Seamlessly integrated into AWS, Instana supports over 300 technologies, providing worry-free performance monitoring.
To try Instana for free, visit this Instana AWS Marketplace listing: https://ibm.biz/aws_marketplace-instana_paygo
Highlights
- Built-in automation and AI help you deploy and start collecting insights across your full stack within minutes. Automated root cause analysis and recommendations provide faster issue resolution.
- Unlike competitors that sample traces, Instana captures 100% of all requests in real-time, ensuring complete visibility into application performance.
- Seamlessly integrate your IT landscape with AWS services and 300+ integrations with no visibility gaps across your cloud, micro-services and containerized environments.
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
1 Standard Managed Virtual Server (MVS) hour | Standard: All-in-one Observability (Infrastructure, Tracing, EUM, Synthetics) | $954.00 |
1 Essentials Managed Virtual Server (MVS) hour | Essentials: Basic Observability (Infrastructure Monitoring only) | $255.00 |
Dimension | Description | Cost/unit |
|---|---|---|
1GB Data Ingest | Billed for data ingestion exceeding the included allowance under the 'Fair Use Policy.'* | $0.27 |
1 Standard Managed Virtual Server (MVS) hour | Standard: All-in-one Observability (Infrastructure, Tracing, EUM, Synthetics) | $0.13 |
1 Essentials Managed Virtual Server (MVS) hour | Essentials: Basic Observability (Infrastructure Monitoring only) | $0.03 |
1000 RU Managed Point of Presence add-on exceeding usage | Managed Point of Presence add-on exceeding usage | $14.00 |
Vendor refund policy
All fees are non-cancelable and non-refundable, and Client shall not be entitled to a refund for any amounts already paid except as otherwise provided in the End User License Agreement (EULA).
Custom pricing options
Request a private offer to receive a custom quote.
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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
Support contact at https://ibm.biz/instana-support
Pricing FAQ: https://ibm.biz/instana-pricing-faq
Find the right size for your solution and estimate your Instana price: https://ibm.biz/instana-pricing_calculator
We also offer shared Slack Channels during trial and subscription.
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.
Updated weekly
By IBM Software
By Dynatrace
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10
In Observability, Monitoring and Observability
Top
10
In Observability, Migration
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10
In Generative AI, Log Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Request Tracing Granularity
Captures 100% of all requests in real-time with 1-second granularity, ensuring complete visibility without sampling
Automated Root Cause Analysis
Built-in automation and AI-driven root cause analysis with recommendations for faster issue resolution
Full-Stack Visibility
Provides full-stack visibility across application code, Kubernetes containers (EKS/ECS), and micro-services with dependency mapping
Technology Integration Support
Supports over 300 technology integrations including AWS services, cloud platforms, micro-services, and containerized environments
Intelligent Alerting System
SmartAlerts feature delivers tailored alerts based on application performance monitoring across the full stack
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
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.
Validated by AWS Marketplace
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ISO/IEC 27001
PCI DSS
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Customer reviews
Farming
Effortless Monitoring with Real-Time Visibility and Fast Root-Cause Analysis
Reviewed on Feb 19, 2026
Review provided by G2
What do you like best about the product?
What I like most about IBM Instana is how easy it makes monitoring complex environments. It automatically discovers services and maps dependencies, which saves a lot of time compared to doing everything through manual setup. The real-time visibility and clear dashboards make it straightforward to understand what’s happening across applications, containers, and the underlying infrastructure. I also appreciate the root-cause analysis features, which help me identify issues quickly and reduce downtime. Overall, it makes managing modern cloud-native, microservices-based systems much more efficient and a lot less stressful.
What do you dislike about the product?
One downside of IBM Instana is that the pricing can feel expensive, especially for smaller teams or growing environments where monitoring costs can scale up quickly. The initial setup and configuration are fairly automated, but they can still take some learning time for teams that aren’t yet familiar with observability tools, particularly when it comes to getting everything tuned the way you want.
What problems is the product solving and how is that benefiting you?
IBM Instana is helping us address visibility and performance challenges across our AWS infrastructure. Because we run applications on AWS servers, it gives us real-time monitoring of EC2 instances, containers, and other cloud services in a single, unified view. This makes it easier to spot performance bottlenecks, application slowdowns, and infrastructure issues early, before they affect users.
The automated service discovery and dependency mapping also help us understand how different AWS components interact. Overall, it reduces troubleshooting time, supports better uptime, and helps us maintain stronger application performance for our customers.
The automated service discovery and dependency mapping also help us understand how different AWS components interact. Overall, it reduces troubleshooting time, supports better uptime, and helps us maintain stronger application performance for our customers.
Abhishek R.
Exceptional Monitoring with Automated Ease
Reviewed on Feb 18, 2026
Review provided by G2
What do you like best about the product?
I use IBM Instana to monitor our application and make sure everything is running smoothly. I like how I can easily identify performance issues and get the exact issue. The real-time monitoring and automatic discovery of services are really beneficial, allowing us to see problems as they happen and make the setup fast and easy. The alert system is another feature I appreciate, as it notifies us immediately if something goes wrong, so we can fix issues before they critically affect us. It's simple and straightforward to set up, which is great.
What do you dislike about the product?
It's costly for smaller teams.
What problems is the product solving and how is that benefiting you?
IBM Instana helps us by easily identifying performance issues, monitoring our application in real-time, and automatically discovering services for a quick setup. The alerting system notifies us instantly of any problems, allowing us to fix them before they become critical.
Internet
Automatic Discovery and Actionable Insights with IBM Instana
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
What I like most about IBM Instana is how automatic and low-maintenance it feels once it’s set up. I don’t have to manually configure endless dashboards or chase down individual metrics—it automatically discovers services, traces requests end to end, and maps dependencies in real time.
The live service map is particularly useful. Rather than guessing where an issue might be, I can clearly see how services connect and quickly follow performance bottlenecks all the way down to the exact component.
I also appreciate that it prioritizes actionable insights instead of just dumping data. It surfaces what changed, what’s impacted, and where the root cause most likely is, which saves a lot of debugging time compare
d with more traditional monitoring tools.
Overall, it feels designed for real-world engineering teams that need fast clarity, not simply more metrics.
The live service map is particularly useful. Rather than guessing where an issue might be, I can clearly see how services connect and quickly follow performance bottlenecks all the way down to the exact component.
I also appreciate that it prioritizes actionable insights instead of just dumping data. It surfaces what changed, what’s impacted, and where the root cause most likely is, which saves a lot of debugging time compare
d with more traditional monitoring tools.
Overall, it feels designed for real-world engineering teams that need fast clarity, not simply more metrics.
What do you dislike about the product?
What I dislike is mainly the pricing — it can get expensive as your infrastructure scales.
There’s also a bit of a learning curve, and sometimes customization feels limited compared to more open monitoring tools.
There’s also a bit of a learning curve, and sometimes customization feels limited compared to more open monitoring tools.
What problems is the product solving and how is that benefiting you?
IBM Instana solves the problem of lack of real-time visibility in complex microservices environments.
Instead of manually tracking logs, metrics, and traces across different services, it automatically discovers services, maps dependencies, and provides end-to-end tracing.
For me, the biggest benefit is faster root cause analysis. When something breaks or slows down, I can quickly see where the issue originates instead of spending hours digging through logs. It reduces downtime, improves response time, and makes debugging much more efficient.
Instead of manually tracking logs, metrics, and traces across different services, it automatically discovers services, maps dependencies, and provides end-to-end tracing.
For me, the biggest benefit is faster root cause analysis. When something breaks or slows down, I can quickly see where the issue originates instead of spending hours digging through logs. It reduces downtime, improves response time, and makes debugging much more efficient.
Rinku G.
Powerful Monitoring with Some Complexity
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
I use IBM Instana for real-time application performance monitoring and error tracking. I love its real-time monitoring and automatic service discovery. The clear distributed tracing and fast root cause analysis really stand out and save debugging time. It helps us to detect issues instantly without manual setup. Automatic discovery saves configuration time, and distributed tracing shows exactly where the problem is. The initial setup was quite easy for our team, requiring minimal manual configuration, and automatic service discovery made onboarding fast and smooth.
What do you dislike about the product?
Some areas where IBM Instana could improve are pricing and UI complexity for new users. Sometimes advanced configurations and detailed dashboards can feel overwhelming, especially for small teams.
What problems is the product solving and how is that benefiting you?
I use IBM Instana for real-time application performance monitoring and error tracking. It helps us quickly identify performance issues, providing real-time monitoring and clear root cause analysis, reducing troubleshooting time and maintaining system stability.
Sabina K.
Instant Service Discovery and Game-Changing Alerting for Faster Incident Response
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
I really like the agent deployment because it discovers services instantly without requiring us to do a lot of configuration. I also appreciate the alerting system; it has been a game changer for improving our incident response times. On top of that, the dynamic service maps help us derive actionable insights, which are essential for our application performance monitoring.
What do you dislike about the product?
It can take a significant amount of time and effort to train new users on its advanced functionality and full set of features. In my opinion, it’s also noticeably pricier than other APM tools I’ve worked with.
What problems is the product solving and how is that benefiting you?
My experience with IBM Instana in our organization has been largely positive. Before deploying it, we struggled to identify performance issues quickly. Since implementing it, it has helped us resolve incidents faster and has also given us real-time monitoring capabilities, which makes it easier to spot and address problems as they arise.