Catchpoint is an Internet Resilience solution offering services for retailers, Global2000, CDNs, cloud service providers, and xSPs that help increase their resilience by catching any issues in the Intenet Stack before they impact their business.
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Google Cloud Operations Suite
Score 7.2 out of 10
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The Google Cloud Operations Suite (formerly Stackdriver) is an APM platform based on three tools for error detection, tracing, and resolution. It manages cloud-based or on-premise applications in live or mid-production environments.
$0.01
per 1,000 read API calls
Pricing
Catchpoint
Google Cloud Operations Suite
Editions & Modules
No answers on this topic
Monitoring API Calls
$0.01
per 1,000 read API calls
Trace Ingestion
$0.20
per million spans
Monitoring Data
$0.26
per MB
Logging Data
$0.50
per GB
Offerings
Pricing Offerings
Catchpoint
Google Cloud Operations Suite
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
- White glove migration services
- Annual subscription
- Professional Services
- Competitive Benchmarking
Proactive Website and API performance testing, Synthetic monitoring, and third-party integration are where Catchpoint is best suited. Catchpoint is less appropriate in Deep Application Performance monitoring, debugging complex user journeys in real-time, Small businesses, and Mobile app performance monitoring. These are the scenarios where I find Catchpoint is well-suited and scenarios where it is less appropriate.
Stackdriver is really a very good tool for errors and reporting. It provides the application issues especially the exception errors and sends the alerts. It's available for multiple languages like Python, GO and Java, etc. The best part is all the application errors are available at a single place and it comes with the GAE application. It's slow if you want to search very old logs and need to wait couple of hrs sometimes.
Catchpoint Synthetics: We create our synthetic monitoring using catchpoint. Creating the synthetics monitors are easy and requires basic knowledge on selenium and javascript. It allows you to run the test from external(backbone) and internal enterprise nodes. The screenshot and filmstrip feature is an add-on along with various customisations. Once created, It provides a detailed insight of each request that is involved in the application flow which helps us in addressing the issue at the request level.
Catchpoint API Test: This is another kind of test which we have explored in our organisation. This has helped us to maintain the health check of our APIs and also we have utilised it for a variety of our use cases.
Catchpoint Dashboard: This is our one-stop shop for all our monitors. It has multiple widgets that displays various application performance metrics. We use this feature immensely and it is of great value to the business.
Catchpoint UI: It is very user friendly and with basic introduction anyone can just get started with it.
The ability to monitor the Catchpoint nodes with the ability to setup a take a recovery action based on specific criteria
The ability to tell us when we are at X% capacity so that we better plan or budget for increasing the "capacity" of the Catchpoint nodes before we get to an overloaded state. The capacity utilization graph is not a reliable indicator for this metric. How can the capacity utilization rate get above 100%, it does not make sense
we are heavily dependent catchpoint system for the following functions * Detect end-user availability/performance-related problems * Ensures service level objectives (SLO) are met, that prevents service level agreement (SLA) breaches * Identify and understand the cause of any network connectivity or application level issue * Improves the availability and response time service levels
It's hard to find the functionalities that I am looking for in the application. Even if I did something in the past, after a time I have to re-learn again where the functionalities are. This is a powerful tool, but not user-friendly. Texts in the buttons and menus are not always meaningful or easily comprehensible.
The customer support is fantastic as they keep you updated and follow up even though we may not even follow up. Make sure they send a communication so that we remain updated. They value engineers who will get on a call with you to understand any requirement we have on any test, and they bring in the best developers on call.
It is also a great problem detection tool, and this is extremely important for General Motors.
The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:
- containment of hosts;
- cloud provider limitation;
- hardware wear.
And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.
Datadog is good, but more expensive. New Relic is good but does not provide the same features as Catchpoint does. Checkly is good, but Catchpoint offers different frameworks to create synthetic tests, which is preferable to my engineering team.
Honestly, because it is from Google, we also mainly chose this product on the recommendation of other friends and businesses, and because of its reliability, security and ease of access. It also has excellent technical support and warranty. The staff is fast and super efficient and always helps us when we need help.
Catchpoint points based licensing for public hosted nodes is complicated and unpredictable in points required.
Catchpoint lacks AI powered anomaly detection and automated remediation. This gap means more manual triage and slower MTTR during incidents.
The advanced 360 degree blackbox monitoring is enabling us to monitor the APIs, UI and proactively gain insights into the application behavior and performance before customer is impacted.
