Reviews (1-25 of 27)
- Cloud Service Monitoring
- New Technologies Monitoring such as Containers Docker
- GCP is not Supported
- Oracle is not Supported
- No Integration available with Service Now
- Monitoring services.
- Detect service failures.
- Helps pinpoint problems in our website.
- The only thing that I would add is the possibility to display every single query our servers receive to eventually analyze them and query through them. We could also generate nice visualizations from that. Right now I believe we can only see averages.
- Compares performance to previous day/week.
- Shows detail of traced requests including DB queries and cache calls.
- Performs quickly and has little lag time between reported detail.
- Report filtering could be more powerful.
- Date comparison options like 4 weeks ago instead of 1 month.
- Best GUI.
- Detailed view of latencies.
- Application integration is easy.
- Average response time.
- Average request rate.
- Tracing different layers in a request.
- Detection of slow queries.
- More data can be added, however, it could also be that we haven't set it up fully.
- Simple installation and configuration
- Easy to use UI
- Good value
- Many integrations with third-party software
- Better cluster support: identify and group all related hosts automatically based on name
- Distributed tracing.
- Basic hardware monitoring.
- Application transaction stats/details.
- Support for celery in Python.
- Overall better Python support.
- Backwards compatibility.
- Pinpoints the area of concern
- Provides most of the database-level details
- Good graphical presentation
- Database-level details SPID
- Provide a notepad file for longer SQL Code
- Google Chrome new window open gets stuck sometime
2) Only database queries
3) Big data queries
4) Performance tuning stored procedures. Very important when users complain about a long-running query. Queries can be sorted by the highest wait statistics and can help to know the number of requests as well.
- Easy to use.
- Clean UI.
- Simple setup.
- I think that it could use a little bit more work in the event correlation feature.
- Automated alerts
- Performance monitoring
- Request tracing
- Monitor 3rd party services
- Request tracing with code profiling.
- Automated alerting on latency and response codes for each API.
- Low resource overhead while collecting data from our application servers.
- Highly performant dashboard that enables us to make progress rapidly.
- Very resilient. We have not seen a downtime in their service in the entire year that we have used them.
- Monitoring and alerting for downstream services can be improved significantly.
- They can make it easier and faster to setup alerts for the infrastructure and application.
- They should support SSO login.
- SolarWinds AppOptics has an easy to use and fast interface. Thus, you can use time more efficiently.
- SolarWinds AppOptics has as many details as you want. So you only display deep details when you want.
- SolarWinds AppOptics already has many plugins. So you can easily connect with your other services.
- The number of plugins should be increased.
- The number of warning methods should be increased.
- The time frame options help track peak hours and compare impact of improvements.
- The detailed breakdown of traces requests helps track down the source of slowness in applications.
- The database queries tracked help find most used tables and help decide where indexing is needed.
- The exceptions graph on the overview screen can be misleading as not all exceptions are high priority.
- Could use more customization on the overview screen. Would like to change what graphs are shown for each service.
- Easy to integrate with an application stack. Supports many. In my case, I just need the AppOptics client and client key to start integration with my application stack.
- Provide real-time metrics like DB connection, query analysis, latency in API calls and other connections, response codes for various API's, etc.
- We can also set thresholds based on use-cases and set up the alerts and publish one across various suitable channels.
- It would be good if could get some sort of dynamic report generation functionality base on historical trends. The rest is good.
1) Current response code from the API.
2) Number of DB connections.
3) Queries requested from app to DB.
4) Queries that track latency.
5) Failing APIs.
- Markers: Drill down into specific logical blocks of the execution timeline.
- Remote services: Possibility to track external API calls separately from the main stack.
- Alerting: Possibility to receive alerts as soon as a certain threshold was reached.
- Get to the errors from the dashboard graphs.
- Custom-selected Nth percentile.
- Auto-refresh option for close to live-monitoring.
- Provides default dashboards for all your services and we can create custom dashboards as well
- We can configure alerts on API response times and can configure multiple notification channels
- It tracks everything including infrastructure, database response, communication between different micro-services
- Sometimes I have faced issues while creating custom dashboards
- A few metrics do not provide accurate results
- Documentation can be improved
- Full application stack trace
- Measuring latency
- Providing historical map of calls
- It's confusing sometimes to dig into a trace, like certain levels don't have much info. AppOptics just says this level occupies 95% of the call time.
- It would be nice to have AppOptics identify if the root cause of an issue was caused by a dependency, e.g. another service it calls. It would be great to chain them together.
- Not very intuitive, if you don't know what you're doing or know what to look for.
AppOptics is an invaluable tool in diagnosing problems at an early stage, and gives our development team deep insight into the context of problems as they arise, as well as providing proactive monitoring of resource usage and error rates across multiple endpoints.
- Deep insight into the ASP.NET pipeline, allowing drill-down into individual requests.
- Intuitive dashboards with the ability to slice by time give a good overview of real-world endpoint performance.
- Ability to drill into individual queries executed during the lifetime of an IIS request provide excellent intelligence for targeted optimization of SQL bottlenecks.
- Extending visualization into the asp.net processing pipeline would be really helpful - the ability to see which handler/piece of middleware did what, and when would be great.
- The ability to capture parameters for certain SQL queries - possibly based on a filter.
- The ability to describe the relationship between requests and users - so being able to see all requests submitted in a particular session (by cookie, http header value, etc) would be most useful.
AppOptics gives a good visualization of each request, and crucially how that individual request interacted with SQL Server. This enables to us monitor the effectiveness of our in-app caching as well as the impact of cache misses on performance and responsiveness of our apps.
In addition, capturing of exceptions is detailed and intuitive, providing mostly complete stack traces where problems occur. This is invaluable to our development team, who can use the wealth of information provided about a problematic request to in many cases reproduce the issue without having to seek additional information from the customer. This expedites the fact-finding portion of our support activity, leading to more timely fixes being deployed to production.
- Monitoring infrastructure in production. We also use it to track AWS usage and its APM capabilities.
- Whenever there's an exception or slow performance in production we use AppOptics.
- Drilldown to slow transactions in DB or server-side code.
- General visibility of usage vs. spending on AWS.
- Quick view to usage statistics in AWS, instead of going to CloudWatch (for example, SNS messages).
- Easy to integrate.
- No need to instrument code.
- Full visibility.
- Better python instrumentation.
- Monitoring AWS lambda.
- Easy navigation between services.
- Traced requests order by endpoint, average response time, http code returns, etc.
- User-friendly visibility on layered calls done to provide a response to a service request.
- Zoom in/out functionality when looking at a traced request over time could be easier.
- Time range filter for requests could be more visible.
- When looking at a traced request, the details tab has been moved from a previous version and it's not straightforward to find it now.
- Identifies errors experienced by our end users.
- Locates application errors.
- Provides insight into our end users' overall application experience.
- Allows us to know that our application performance monitoring solutions is in good hands.
- Not applicable.
- SolarWinds AppOptics is a solid, affordable product on par with other APMs I've used in the past.
- Application Performance Monitoring.
- DB Monitoring.
- Network Monitoring.
- API level check.
- Running application box stats.
- Consumed memory stats.
- Shows each layer of application.
- Code tracing.
- Easy to visualize where the issues are.
- Aggregate info to show problems
- Show layer by layer overview of where time is spent
- Might be related to our setup but correlating info between different apps is not possible.
- Compact monitoring
- Tracking of transactions, requests, etc.
- Its simplicity of usage. Less is more.
- Its SMS gateway for notification, so we don't need to use a third party.
- On Infrastructure page, select multiple choices and see Host details for all of them
- Better organization of metrics
As our infra is very huge so we haven't implemented it in the whole organization. But still, we are using it for most of the critical services. Pinpointing the issues becomes very easy during production downtimes.
- Trace debugging
- Remote calls detection
- flexibility of configuration
- Linked graph of microservices can be included
SolarWinds AppOptics Scorecard Summary
Feature Scorecard Summary
What is SolarWinds AppOptics?
SolarWinds® AppOptics™ is presented by the vendor as a SaaS-based simple, powerful and affordable Infrastructure & Application monitoring for custom on-premises, cloud, and hybrid systems.
Full-stack visibility – Monitor the health and performance of custom on-premises and highly distributed cloud applications across services, hosts, containers, and platforms down to the code.
Reduce MTTR – Monitoring infrastructure and application metrics side-by-side reduces the time it takes to identify what part of the stack is failing, so you can quickly get to the root cause.
Auto-instrumented Root Cause – Quickly pinpoint issues; Automatically presents the most likely cause of a performance problem. Takes the guesswork out of troubleshooting.
Simple Setup – Up and running in minutes, easy to use and a minimal learning curve for IT professionals.
Integration that matters– Cohesive end to end monitoring that enables maximum observability from metrics, to traces, and down to logs.
Align your performance goals with business goals – Incorporate custom metrics to combine business metrics side-by-side with system metrics. See and measure the impact infrastructure and application performance has on your business performance.
Highly scalable – Cost-effectively scale as your business scales with analytics and trend reporting, providing you with insights into short- and long-term changes to performance and resource utilization.
SolarWinds AppOptics Screenshots
SolarWinds AppOptics Video
SolarWinds AppOptics Downloadables
SolarWinds AppOptics Integrations
SolarWinds AppOptics Competitors
SolarWinds AppOptics Pricing
- Has featureFree Trial Available?Yes
- Does not have featureFree or Freemium Version Available?No
- Does not have featurePremium Consulting/Integration Services Available?No
- Entry-level set up fee?No
SolarWinds AppOptics Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
SolarWinds AppOptics Technical Details
|Supported Languages:||.Net, Go, Java, PHP, Python, Scala, Node|