

AWS Auto Scaling and IBM Instana Observability compete in scalable infrastructure management and application performance monitoring. AWS Auto Scaling has the upper hand in cost-effectiveness and robust support, while Instana is favored for its advanced monitoring features.
Features: AWS Auto Scaling provides dynamic scaling, seamless resource management, and integration with AWS services. IBM Instana delivers real-time metrics, automatic root cause analysis, and multicloud monitoring. AWS targets AWS resources scaling, whereas Instana emphasizes comprehensive observability and troubleshooting.
Ease of Deployment and Customer Service:AWS Auto Scaling offers straightforward setup within AWS environments with extensive support resources. IBM Instana supports deployment across various platforms and detailed setup guidance. AWS suits simplicity within AWS systems, Instana is flexible across diverse infrastructures.
Pricing and ROI: AWS Auto Scaling generally has lower initial setup costs, leading to a faster ROI by reducing over-provisioning. IBM Instana, with a higher initial cost, offers advanced monitoring and a longer ROI timeline but justifies the investment for deep application insights.
It provides a single pane of glass from which I can see what is happening with all the servers in my infrastructure, which saves time.
It made a notable difference from when we were almost blind to being able to respond to calls immediately.
If we have a monitoring tool, we can save our transactions and see the performance of the application using MTTR and MTTD.
AWS support is very good.
They are very slow to respond and integrate new features.
IBM support for Instana is responsive and helpful.
We did have experiences where a significant issue arose during implementation, often involving compatibility problems with JavaScript libraries used by IBM Instana Observability.
Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.
More innovations are coming in every day, so it is scalable and more applications are becoming container-based.
IBM Instana Observability demonstrates scalability, especially in dynamic, distributed environments such as microservices and Kubernetes.
This complexity led me to migrate to CloudFormation, which simplifies the deployment process.
It requires a downtime before deploying the Auto Scaling group.
If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help.
I had many false positives with IBM Instana Observability. Then I fixed the filters and it became more accurate on the errors reported.
One main issue I found with IBM Instana Observability was the customer support, which was very poor when we needed some features to be enabled or integrated into IBM Instana Observability sensors.
It is not open-source, and I have to be a partner to get more access to the products.
The pricing of Auto Scaling is medium range, neither high nor low.
I find the cost of IBM Instana Observability to be very affordable compared to competitors because the pricing mechanism is based on the host that we monitor, unlike other competitors such as DataDog and Dynatrace, whose pricing is based on other factors.
It is not that costly, especially since we only use two instances.
I think the pricing is good and I do not think it is high.
During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.
The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling.
Its automatic scaling capabilities are very useful.
IBM Instana Observability has positively impacted my organization by making it easy to observe the entire infrastructure under one platform, which was the biggest advantage of onboarding onto IBM Instana Observability.
IBM Instana Observability has impacted my organization positively in that it has helped me find out what the issue is in real-time because of its one-second granularity and its ability to identify issues as quickly as possible.
With multiple servers and multiple applications, IBM Instana Observability allows us to resolve issues very quickly because we immediately know that a disk is full, the storage is full, or the database is down.
| Product | Market Share (%) |
|---|---|
| AWS Auto Scaling | 0.4% |
| IBM Instana Observability | 0.9% |
| Other | 98.7% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 5 |
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
IBM Instana Observability offers real-time application monitoring and management, designed for automation and intelligence on modern cloud-based environments.
IBM Instana Observability provides deep visibility into application performance, empowering businesses with automated root cause analysis and intelligent alerts to optimize cloud-native applications. It captures and visualizes comprehensive health metrics to enhance operational efficiency across distributed systems, making it an invaluable tool for IT and DevOps teams seeking to improve application reliability and performance.
What are the key features of IBM Instana Observability?IBM Instana Observability is widely adopted across industries like finance, healthcare, and retail, addressing specific challenges in each sector. In finance, it helps manage high-volume transactions with minimal latency. Healthcare benefits from its compliance support and reliable data monitoring. Retail industries utilize it for maintaining seamless customer interactions and operational uptime, ensuring business continuity and customer satisfaction.
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