IBM Instana

We are using IBM Instana for monitoring stat of Kubernetes Cluster and VMs. Initially, whenever there was issue, we had to look for metric and log manually which was very hectic and it was not consolidated and it used to become very tough of tracking all apps in single place but with use of IBM Instana, it has become very easy for us. we can get all API calls details, errror rate, number of pods , event chnage,alerts all from single tool.

For general monitoring of backend systems majorly. And to get prompt alerts when system is underperforming

IBM Instana in our company gave us visibility with apllication performance monitoring that we didnt have. We mostly have containeraized openshift applications and to implement instana was very easy and it gave us with little effort a lot of information. Also big benefit was to integrate it with turbonomic, and to see application performance from application perspective and infrastructure perspective.

I am using IBM Instana on AWS Cloud. We are getting slowness issues on our application quite frequently. With the help IBM Instana, we are able to detect the problems and resolve it.

Instana is designed to monitor and analyze the performance of applications in dynamic and containerized environments, such as those based on microservices and Kubernetes. It offers features like automatic discovery of services, tracing of requests across different components, and the ability to detect and diagnose issues affecting application performance.

Our team caters to different use cases in telecom sector including billing, marketing campaigns, value added services etc. This involves use of APIs, Microservices and Infrastructure from multiple vendors.
Each of these systems have their own format of logs and dependencies between systems is not very clear without having to go back to the documentations. Now we are using Instana as go to tool for identifying issues, improve observability and mapping flows between systems.
Some of the internal consumers have also started using Instana to have a clear picture of application and system state. The amount of information this tool collects (without much additional configuration) to provide insights is really helping both our team and the consumers.

We are using IBM Instana to monitor a set of 15 micro services running in a managed Kubernetes environment on IBM Cloud. IBM Instana gives us visibility into those containers so we can monitor and alert on performance issues.

IBM Instana has been instrumental in helping my company identify opportunities for performance improvement, which is a key competitive differentiator. The best thing about IBM Instana in production is the amount of time it saves us when investigating performance problems. It immediately highlights where things have changed either positively or negatively saving us valuable analysis time.

IBM Instana is the only solution that is able to provide a complete view of all the data sources across all our business units, identify anomalies and correlate information.

Automatic anomaly detection is performed by us. It follows best practices and is done in an integrated way that would be difficult to achieve on our own.The most significant benefit is the standard monitoring features that come with IBM Instana. It enables us to quickly ascertain the underlying cause of performance issues by assisting in the identification of patterns and departures from typical behavior. His thorough analysis is superb.

We use Instana to continuously get feedback about the behavior of systems and user's facing applications. Instana provides a very good approach to managing SLO and SLI, which are the basis of our methodology to address systems effectiveness and SLA. Together with automatic instrumentation and smart alerts, we have almost 360's degrees of visibility over the performance of the platform.

Our journey with Instana began with the realization that traditional monitoring solutions were no longer sufficient for the IT supporting our construction projects. We use IBM Instana to monitor the performance of our construction management applications, including project management software, scheduling tools and collaboration platforms certifying their availability and responsiveness. Ensuring that these applications run smoothly is essential for efficient project execution.

IBM Instana is tackling the problem of monitoring hundreds of APIs by filtering solely for faulty calls, which saves us a lot of time and makes it simpler to spot problems. IBM Instana is an excellent APM tool that allows me to track my services, analyze their performance, and strive to improve them. It is simple to connect with any production-ready application. IBM Instana has been absolutely fantastic in providing fast cloud system and application feedback, enabling for effective tweaking and real implementation; as a result, we have improved product functionality and performance.

We primarily use it for checking for errors, automated notifications, and server level monitoring. That being said, we are planning on expanding out current usage to include supporting specific event investigations as well as customer support investigations rather that for just planning how to correct address problems after they happen.

I use IBM Instana for monitoring Kubernetes clusters for hardware and software issues, create alerts on log messages and issues since the customer needs to know how the system is behaving or if problems with master data come up.

I use IBM Instana to monitor our production workloads running in on-prem Kubernetes.

I am using IBM Instana for application and infrastructure monitoring.

IBM Instana is a useful for troubleshooting and monitoring. It helps us deliver a smooth service for our developers, maintaining the front stack successfully. We use APM monitoring mainly, and the scope is around 30 Hybris websites. It's a good tool for production delivery and keeping our infrastructure in good shape.

I use IBM Instana to manage customer services, monitoring metrics, and alerts.

We use primarily as a Application Performance Monitoring tool. We use to checkout CPU, Network, Memory utilization, trends across date ranges.
We also use it track throughput, latency graphs,

As our Hype products regularly attract large amounts of attention along with potential bots, we use IBM Instana in my area to check for the stability of API calls during high heat launches. We also use it to troubleshoot issues within our APP and to find out what went down and what magnitude the spikes causing our issues had.

I use IBM Instana for monitoring website errors and performance, and I've been most impressed that I can get real-time updates on Core Web Vitals metrics. It shortens the feedback loop for making a code change to improve performance and makes it really fast and easy without having to wait weeks for updates from Google or other analytics suites.

As someone who is in close contact with QAs and SREs, this tool is one of the common areas where we play and identify risks. It's fast and reliable. Also, the learning curve is great considering that it might look overwhelming at first (if you are working in a big company and have lots of data points). The feature that I appreciate the most is the fact that I can filter requests very deeply and see their latency. This helped greatly when we tried to improve the speed of one of our features.

Instana is used for monitoring several business-critical applications both in Production and Non-Production environments. The most important feature that we use is the tracing of HTTP calls and their flow in the private infrastucture of our customers. In particular I used Instana to perform Performance tests on the release candidate software.

We used mainly for monitoring and observing our applications. Our aims to address several business problems related to monitoring and optimizing the performance of complex application. It really helps in business monitoring the performance of our applications in real time.
It can identify performance bottlenecks, slow response times and errors in code, allowing developers and operations teams to proactively address issues and optimize application performance.