Instana, an IBM company since the December 2020 acquisition, provides APM services for SOA, microservices, containerized applications and Kubernetes, and cloud native applications, as well as discovery and monitoring for IT assets.
We chose IBM Instana for its very affordable price, the ease of use of the solution, which was perfectly suited to our needs and specifications, and the feedback from our teams, who had no trouble getting to grips with it in a very short time.The IBM Instana solution is very …
IBM Instana provides 60 seconds granularity whereas the other products use time series data IBM Instana automatically detects the Service Endpoints which helps us trace all the calls pinpointed to service endpoints. IBM Instana provides complete Auto Discovery with no …
Automatic application discovery with one agent installation instead of manual configuration for each application and multiply agents for each technology stack.
Automatic tracing for application calls without the need to add complex configuration and application instrumentation.
The primary reason we choose IBM Instana was that is was compatible with nearly all of our apps without requiring any modifications to our code. We are really happy that we decided to adopt IBM Instana.
Senior Manager - Performance & Reliability • Information Technology
Chose IBM Instana
1- ROI is higher as the budget is much less than other 2- the way of calculating license is much better and fit us and this affect the ROI 3- the ease of implementation
New Relic has it's own perks but when it comes to large infrastructure, we always face some issue at stability but IBM Instana never fails here. In my opinion, Inbuilt dashboard and inbuilt alerting feature what makes IBM Instana better than compared to other tools. I think …
Instana is better at call tracing than the previous ones and is cost effective as well. But AppD can do a better job at constructing customised metrics, alert profiles and alert conditions as well, but it misses a lot of important details while tracing a call. At the same time, …
IBM Instana meet LMRA requirements, as IBM Instana is more useful to deep-dive each transaction from Real-user monitoring itself when compared to other APM's in the market. Also gives more flexibility especially from the support perspective to identify bottlenecks and to …
As a DevOps engineer, I've explored various Application Performance Monitoring (APM) tools, including New Relic for real-time insights, AppDynamics for code-level visibility, Dynatrace for AI-driven monitoring, Datadog for comprehensive observability, Splunk for log management, …
Splunk is also a wonderful tool for log analysis and operational troubleshooting however auto discovery and dependency flow creation makes Instana standout. We have to do a lot of preprocessing to ingest and format data in Splunk and then write complex queries for gathering the …
We chose IBM Instana for several reasons, and the most important one is that we didn't have to make changes in our code for nearly all of our applications for it to work. We are happy with the decision we made to use IBM Instana.
We have used them and for the moment we have chosen IBM Instana first of all because of the price because it is accessible and it works in terms of the results we have obtained, also the way of presenting the schemes and the performance of the systems is very good.
Better value for the money. Easiest license model. Automatic features included to help installation of agents, continuos discovery of services, dependencies and components, update of agents, smart alerts, tracing without sampling and a low step learning curve
With enterprise IT assets in a multitude of ecosystems, cloud infrastructures and sometimes still left stuck in a legacy on prem architecture, IBM Instana makes it easy to get the right data to drive development and / or DevSecOps processes with tangible input from the target environment itself.
Can monitor application(s) and system(s) with very large throughput of transactions by the second ( it gets everything !!!)
Provide strong drill down for your applications and will tell you where the points of failure of an application's is ( servers , network , Databases , etc you name it )
Very easy to set up and have it up and running when using the SaaS solution. There's an on premise solution which works just as well but requires more effort and preparation from an infrastructure point of view for your teams to implement.
Continuously improve their features and their agents auto-update and keep up. All while not interfering with your applications.
Let's you create your own dashboards and visualizations that can be tailored for different kind of users with the data collected.
Create your own events and smart alerts so you can know on the spot if something is happening or is likely to happen that needs addressing on your applications / systems
It's very difficult to create custom dashboards, only a handful of scenarios can be visualized to dashboards.
Extracting information from Instana to further analysis into excel for example is something that can be improved. Using an API to get data is very limiting.
Open telemetry features which allow to send application data to Instana is not working as documented.
Instana has been able to fulfill our all requirement and provide out of box solution for multiple component like AWS RDS Monitoring and real time alerting setup on basis of that. it is also easy to integrate with other open-source alerting and monitoring tools which makes it easier to incorporate into our solutions
IBM Instana totally alters our monitoring approach since it increases the stability of the system and simplifies the process of problem solving. And since it helps to lower the degree of alert exhaustion that we experience, it is a total game changer for us.
As a DevOps engineer, I've explored various Application Performance Monitoring (APM) tools, including New Relic for real-time insights, AppDynamics for code-level visibility, Dynatrace for AI-driven monitoring, Datadog for comprehensive observability, Splunk for log management, Stackify Retrace for error tracking, and Raygun for crash reporting. Each tool offers distinct features, and the choice depends on specific use cases, technology stacks, and organizational needs. Thorough evaluations, considering factors like ease of use, integration capabilities, and scalability, help in selecting the most suitable APM solution for effective application monitoring in a DevOps environment.
