Skip to main content
Home
About
Vendor Directory
APMdigest
DEVOPSdigest
Menu
Home
Blog
White Papers
eBooks
Webinars
Videos
APMdigest
Featured Vendors
Automox
Catchpoint
Elastic
ManageEngine
Product Categories
AIOps
APM
BSM
EUEM
Incident Management
ITOA
Log Analysis
Monitoring
NPM
Observability
Testing
Upcoming Webinars
Eradicate service outages and performance issues from your network with OpManager
April 30, 2024
Master Class: Optimizing CX through 4 Pillars of Internet Resilience
May 01, 2024
On-Demand Webinars
Avoid Observability Failure: Hybrid Enterprises Must Complement APM with Internet Performance Monitoring
Observability Trends: Key Considerations for Modern Observability
Navigating Today's I&O Landscape: Leveraging Cloud, Hyper-Convergence and Observability
Master Class: Monitoring from Your Users' Perspective
2024 Tech Trends: 10 Predictions for Tomorrow's IT Evolution
White Papers
Website monitoring in Applications Manager
Synthetic monitoring 101: A comprehensive guide to synthetic monitoring
Beyond deployment: The ongoing challenges in application performance monitoring implementation
How Is IPAM Simplifying Modern Networking?
The Elastic Generative AI Report
Hot Topics
APM
BSM
ITSM
Monitoring
Alerting
Virtualization
Cloud
SaaS
Analytics
Big Data
Logging
IoT
End User
E-Commerce
NPM
SDN
Mobile
DevOps
Testing
CMDB
IT Culture
Digital Transformation
IT Central Station Product Reviews
A good monitoring solution for medium-sized businesses with fairly good pricing
Provides a single point of access that is easy to use
The workflow helps you to easily have an overview of the infrastructure that you are analyzing
Reproducing user sessions helps track down issues in our Monolithic ASP application
An easy-to-use tool to assist our customers in detecting problems
PurePath analysis functionality has helped us find issues in important systems before release
Reduces incidents and improves critical application uptime, but the SaaS environment is not stable
Real-time user monitoring helps to improve performance and stability
Helps solve our Java bugs, but the Business Dashboard needs improvement
Increased log traceability helps to deal with performance challenges
Easy to install and helped us to better understand application interactions in our mixed environment
Allows for the inclusion of legacy technology within our monitored environment
Problem grouping and history helps to minimize reoccurring issues
Provides insight into your environment and the AI helps with root cause analysis
Helps us identify where a bottleneck is and has significantly reduced our MTTR
Enables you to configure your own dashboard to monitor specific parameters
Saved us a few servers that we would have bought, not knowing that developers were making mistakes
Auto-baseline detection for the API performance issues has helped to improve my organization
Dashboards enable us to monitor critical trading systems, application servers, networks switches, and software
Compared to AppDynamics where we are still trying to get it into production, we had the latest version of Dynatrace in production within three days
Enables us to track track performance on the production and QA environment
Makes it easier to troubleshoot, to get a view of my network's health
Enables our operations to configure monitoring themselves, to react to an issue they've seen
Reduced application downtime and the Root Cause Analysis has saved us time and effort
CA APM is a great transaction monitoring tool
There is no auto flow diagram, and the alert mechanism is not as good when compared to other tools.
It gives complete stats of the user and what they are doing
Our operations center can go back and look at trending and history of the applications. They have alerts set up which trigger off of it.
It is very easy to use and configure. It has a nice UI.
The ingestion points are unlimited and support customization. We would like the averages of average issue to be fixed.
It provides a nice graph, and we can see where everything goes. If it could go agentless, that would be great.
It works quickly with all of our servers, databases, and load balancers
We can monitor how the application is connecting to the database and what queries are being requested
The artificial intelligence engine in it is able to do alerts and some good analytics
a good source for application monitoring
Looking at the data patterns and trends, you can also find out abnormalities in the whole ecosystem
We set up alerts recently so we can fix any issues more quickly in production
Gives us the ability to check memory patterns, but the solution consumes a lot of memory
The Serverless AWS has helped us with our monitoring. However, we would like a more sophisticated filtering for the Serverless AWS pieces.
We have been able to proactively identify failures before they happen
The solution makes it very easy to have a holistic view, but there is room for improvement on the alerting, insights, and infrastructure monitoring
We can dive deeply into the product to see what is happening by troubleshooting, debugging, and monitoring
We can monitor our applications with better accuracy
It lacks consistency in the APIs. However, It has saved us a lot of trouble in implementation.
I see plenty of benefits in using AppD for any old school build of applications, but transactions are not collected across the board when architected with micro services
It lets us react more quickly to things going wrong, then we can get back up and running faster for our customers
Auto-discovery agents require little configuration and detect everything from host to service level, but reporting is lacking
Enables us to edit config files easily and make reports our own
It monitors application performance, but it needs to be more flexible and user-friendly.
It has been helpful for our developers when they are tracking down issues
It gives us the visibility that we need in monitoring
It has enhanced the performance of my team
The product has good dashboards, scalability, and environments
Traces are aggregated and organized, making it faster and easier to troubleshoot, to find a code hotspot
It works well with the AWS platform that we are using. The integration with AWS was straightforward and easy.
We are able to quickly go through logs and figure out what is happening
It monitors all our systems and is reliable
It gives us visibility into the product and what we are doing operationally
We have a mode we call "influx" where we can see statistics, traffic jams or other important information.
It provides us a reference for being able to go back and look at data at a certain point, analyze it, then determine if something was the root cause. However, the experience needs improvement.
It provides all the monitoring that we need in one place
The AWS version is not difficult to upgrade, but the on-premise version is
The solution makes it easy for us to keep our applications stable
The visibility that it provides through the application's behavior allows us to find trends based on our customized metrics
It helps with monitoring KPIs
It has been helpful to patch things before they are a problem
It gives insights to non-technical people about what technical issues are most important
It reduces our efforts to identify services failing in production
The user experience management is a valuable feature
We have a better grasp of what is occurring during the deployment cycle
It can monitor our entire infrastructure on AWS
They have a good ecosystem for their integrations
Its graphical configuration is very intuitive for our teams to work on
The infrastructure of New Relic is very stable, and it works well
It visualizes metrics well and tracks our incoming requests, providing a lot of detail for troubleshooting
Helps to quickly triage problems. Its cost can be improved.
It is a cost-effective solution with an easy implementation curve.
It has the ability to create dashboards and matrices with graphs
It has helped us maintain a much higher uptime than we had previously
It is a good product for analyzing your environment
Has a user-defined transaction profiling, but it should enable you to see the usage and performance of all application dependencies
Role-based access to queues, giving us more insights into problems
Has helped us in being proactive and provides a lot of in-depth data w/ new features compared to v10.1
Through end-user monitoring, we could measure the user's perceived performance and build an SLA based on that information. However, this solution needs more powerful database monitoring capabilities
We can monitor applications and proactively address issues like memory leaks and CPU utilization
Provides real-time detection for the root cause of problems, minimizing time to resolution
We are able to get insights into our systems, which previously took us weeks to be able to detect
Identifies potential problems by doing thorough analysis of systems which integrate with one another
The benefits we receive using this tool increase productivity, which increase revenue.
The product is customizable when it comes to setting up application monitoring
Very high tech, advanced product, which is easy to implement and maintain
Extremely valuable for troubleshooting and performance review
It catches issues quickly and fixes them, but the cost is prohibitive
Visibility into the application and its performance from the user to back-end services
Prevents production performance issues which result in customer complaints or system downtime
Global overview of all app layers, including web servers
Reduced incidents, as alert monitoring aids in quicker resolution of events
Provides visibility on how end users utilize browsers and where they are originate from
Used to test customer behavior on a website. The QA and test environment need improvement.
Manages alerts from infrastructure, applications, and batch jobs
‹ previous
2 of 11
next ›