Google Cloud's operations suite (formerly Stackdriver) vs Quest Foglight for APM [EOL] comparison

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We performed a comparison between Google Cloud's operations suite (formerly Stackdriver) and Quest Foglight for APM [EOL] based on real PeerSpot user reviews.

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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Google's technical support is very good.""It's easy to use.""I like the monitoring feature.""The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports.""We find the solution to be stable.""Provides visibility into the performance uptime.""Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well.""The cloud login enables us to get our logs from the different platforms that we currently use."

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"FxV is valuable as we can playback the session.""Having standard monitoring features and a central repository saves us a lot of time and reduces risk of incidents.""The most valuable feature is drill-down monitoring, which shows us from one interface the transaction chain from the front end to back end.""At a glance I can easily see what is going on with all of my VMware ​environments, including top consumers of resources.""With the APM you can replay the end user session and see issues quickly by viewing the session.""The ability to track performance of an application or application suite over time is extremely valuable to our business partners and for our application development team with near real time results.""Capacity on database and file servers. I found the algorithms to forecast growth and concerns particularly intuitive.""It provides a history of the activities on our SQL servers."

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Cons
"It could be more stable.""Lacking sufficient operations documentation.""The product provides minimal metrics that are insufficient.""If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver.""While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace.""This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana.""The logging functionality could be better.""It could be even more automated."

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"The version compatibility needs work.""It needs a more intuitive way to create and implement custom "Cartridges" to be deployed through out a Federated environment.""There are some metrics I'd like to track that are difficult to find or implement into a tracking solution without a lot of manual work.""My only complaint from Foglight for monitoring is that you only get a plot for five minute average for metrics like CPU and Memory, on the application side I can see metrics more quickly at 15 seconds for metrics like active sessions, heap. I would like to see the same for CPU and memory.""We are running a Webmethods stack (Software AG) and Foglight is unable to instrument. We are in a POC with Dynatrace and it was able to instrument with little effort.""I think installation and setup needs little more improvement especially when you are installing with external database.""SQL agents often failed but again this may have been addressed in future versions.""I want to see mobile access application in the next release."

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Pricing and Cost Advice
  • "The cost of using Stackdriver depends on usage."
  • "The cost could be lower."
  • "We have a basic standard license without any additional costs."
  • More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →

  • "I recall it being a very expensive solution relative to function and stability."
  • "The price is expensive for us."
  • "Foglight can be expensive I would go with the pricing at a three year deal."
  • "Since the product split – the licensing is a bit more complex."
  • More Quest Foglight for APM [EOL] Pricing and Cost Advice →

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    Top Answer:It could be even more automated. For instance, the moment you deploy something, the monitoring can be there for everything. You will just have to launch or click the console in the morning, and then… more »
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    Reviews
    5
    Average Words per Review
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    Rating
    7.8
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    In Application Performance Monitoring (APM) and Observability
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    Also Known As
    Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
    Foglight, Dell Foglight
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    Quest Software
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    Overview

    Real-time log management and analysis

    Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.

    Built-in metrics observability at scale

    Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.

    Stand-alone managed service for running and scaling Prometheus

    Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.

    Monitor and improve your application's performance

    Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.

    Manage your application infrastructure by monitoring the IT components that affect application performance.
    Sample Customers
    Uber, Batterii, Q42, Dovetail Games
    Anji Automotive Logistics, Unimat, Priceline.com
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    Large Enterprise57%
    Buyer's Guide
    Application Performance Monitoring (APM) and Observability
    April 2024
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Google Cloud's operations suite (formerly Stackdriver) is ranked 24th in Application Performance Monitoring (APM) and Observability with 9 reviews while Quest Foglight for APM [EOL] doesn't meet the minimum requirements to be ranked in Application Performance Monitoring (APM) and Observability. Google Cloud's operations suite (formerly Stackdriver) is rated 7.8, while Quest Foglight for APM [EOL] is rated 8.0. The top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". On the other hand, the top reviewer of Quest Foglight for APM [EOL] writes "We evaluated other options including BMC, but chose Foglight for it's notifications & the ability to review the history". Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Grafana, whereas Quest Foglight for APM [EOL] is most compared with Catchpoint.

    See our list of best Application Performance Monitoring (APM) and Observability vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.