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Google Cloud's operations suite (formerly Stackdriver) pros and cons

Vendor: Google

4.0 out of 5

10 reviews
100% willing to recommend

176 followers

Pros & Cons summary

Google Cloud's operations suite offers valuable graphs for quick access to statistics on various levels including Kubernetes, Kong, and VPN. It features multi-cloud integration, supporting GCP and AWS, and provides visibility into performance uptime with robust technical support and effective log management. However, estimating costs and breaking down request delays is challenging, requiring additional tools like Grafana and Dynatrace, with inadequate operations documentation and logging functionality.

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Prominent pros & cons

PROS

Valuable graphs provide quick statistics for various levels such as Kubernetes, Kong, and VPN.

Supports multi-cloud integration with both GCP and AWS.

Enhances visibility into performance uptime.

Technical support from Google is highly rated.

Integrates well with systems and clusters for companies with a corporate account on Google Cloud.

CONS

If users want to track any round-trip or breakdowns of response times, they are not able to get it.

Estimation of costs in advance is difficult.

Sufficient operations documentation is lacking.

Logging functionality could be better.

The overall metrics provided are minimal and insufficient.

Google Cloud's operations suite (formerly Stackdriver) Pros review quotes

Senior Technical Architect at T-Systems International GmbH

May 17, 2024

Offers a valuable logging transport feature

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reviewer1431798

Director, Function Head, RISK Technology and Change at a financial services firm with 5,001-10,000 employees

Oct 6, 2020

Provides visibility into the performance uptime.

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ANANDA KANCHARLA

Program Manager at a tech services company with 201-500 employees

Mar 24, 2020

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.

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Application Performance Monitoring (APM) and Observability

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Find out what your peers are saying about Google, Datadog, Amazon Web Services (AWS) and others in Application Performance Monitoring (APM) and Observability. Updated: November 2024.

817,354 professionals have used our research since 2012.

NG

Automation Manager at a financial services firm with 5,001-10,000 employees

Oct 31, 2022

We find the solution to be stable.

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Darasimi Ajewole

Software Engineer at Formplus

Nov 26, 2022

The cloud login enables us to get our logs from the different platforms that we currently use.

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Swayan Jeet Mishra

Lead Machine Learning Engineer at Schlumberger

Oct 31, 2022

Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well.

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RM

Infrastructure/Cloud Architect at a comms service provider with 1,001-5,000 employees

Apr 30, 2020

The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS.

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RM

Infrastructure/Cloud Architect at a comms service provider with 1,001-5,000 employees

Jul 13, 2021

Google's technical support is very good.

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Senior Specialist at LTI - Larsen & Toubro Infotech

Jun 6, 2022

I like the monitoring feature.

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reviewer2094309

DevOps Data Engineer Manager at a university with 10,001+ employees

Feb 13, 2023

It's easy to use.

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Google Cloud's operations suite (formerly Stackdriver) Cons review quotes

Senior Technical Architect at T-Systems International GmbH

May 17, 2024

The process of logging analytics can be improved

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reviewer1431798

Director, Function Head, RISK Technology and Change at a financial services firm with 5,001-10,000 employees

Oct 6, 2020

Lacking sufficient operations documentation.

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ANANDA KANCHARLA

Program Manager at a tech services company with 201-500 employees

Mar 24, 2020

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.

Read full review

Application Performance Monitoring (APM) and Observability

Download Free Report

Find out what your peers are saying about Google, Datadog, Amazon Web Services (AWS) and others in Application Performance Monitoring (APM) and Observability. Updated: November 2024.

817,354 professionals have used our research since 2012.

NG

Automation Manager at a financial services firm with 5,001-10,000 employees

Oct 31, 2022

The logging functionality could be better.

Read full review

Darasimi Ajewole

Software Engineer at Formplus

Nov 26, 2022

The product provides minimal metrics that are insufficient.

Read full review

Swayan Jeet Mishra

Lead Machine Learning Engineer at Schlumberger

Oct 31, 2022

This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana.

Read full review

RM

Infrastructure/Cloud Architect at a comms service provider with 1,001-5,000 employees

Apr 30, 2020

It is difficult to estimate in advance how much something is going to cost.

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RM

Infrastructure/Cloud Architect at a comms service provider with 1,001-5,000 employees

Jul 13, 2021

While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace.

Read full review

Senior Specialist at LTI - Larsen & Toubro Infotech

Jun 6, 2022

It could be more stable.

Read full review

reviewer2094309

DevOps Data Engineer Manager at a university with 10,001+ employees

Feb 13, 2023

It could be even more automated.

Read full review

Product Categories

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Product Categories

Product Categories

Application Performance Monitoring (APM) and Observability

Cloud Monitoring Software

Popular Comparisons

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Dynatrace vs Google Cloud's operations suite (formerly Stackdriver)

Datadog vs Google Cloud's operations suite (formerly Stackdriver)

Zabbix vs Google Cloud's operations suite (formerly Stackdriver)

New Relic vs Google Cloud's operations suite (formerly Stackdriver)

Azure Monitor vs Google Cloud's operations suite (formerly Stackdriver)

AppDynamics vs Google Cloud's operations suite (formerly Stackdriver)

Elastic Observability vs Google Cloud's operations suite (formerly Stackdriver)

Grafana vs Google Cloud's operations suite (formerly Stackdriver)

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Prometheus vs Google Cloud's operations suite (formerly Stackdriver)

AWS X-Ray vs Google Cloud's operations suite (formerly Stackdriver)

Amazon CloudWatch vs Google Cloud's operations suite (formerly Stackdriver)

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Honeycomb.io vs Google Cloud's operations suite (formerly Stackdriver)

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