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Based on 228 reviews and ratings
- GitLab is rated higher in 2 areas: Likelihood to Recommend, Support Rating
Likelihood to Recommend
Cloud watch is great and essential if you decide to invest in AWS and have any need to monitor the health of all aspects of your VPC resources, or at the organizational level (multiple accounts). Another benefit of the service is constant upgrades at no additional costs; the software evolves to develop modules and interface improvements. For first-time users in AWS, this is going to take a bit to understand, so the learning curve to this metrics environment can seem overwhelming at first glance/use.
In our organisation we have a lot of applications that require a reliable source to manage source code and GitLab helps us to achieve this very well. We have functionality like after every merge request merger we have to deploy code to our server which is running on Kubernetes pods and GitLab is very helpful in this as it has a nice and easy implementation for integrating CI/CD for the deployment of code to servers and then we can our manual jobs to fetching data. Gitlab provides us a job status with visual logs and suggestions to make it better.
- It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
- It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
- If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.
- Safeguards implemented are customizable and allow our organization to set our level of verification before merging.
- One of the smoothest and most well-organized version control software products on the market.
- Super widespread use so our use of GitLab is understandable and usable by the customer with little "translation" as to what we are doing and what they are doing.
- Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
- Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
- By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.
Professional in Finance and AccountingFinancial Services Company, 501-1000 employees
- GitLab could improve some of the confusion around how permissions work (sometimes unclear why one user can do an action, but not another)
- GitLab should provide a way to rerun a merge pipeline, without rerunning the original Merge Request pipeline
- When jobs fail, it would be awesome if every user could see the information on the runner and the versions of the software it is running on (to better debug the issue)
Team Lead in EngineeringInternet Company, 201-500 employees
Premium Consulting/Integration Services
Entry-level set up fee?
$0.0,012 per canary run
Amazon CloudWatch Editions & Modules
|First 10,000 Metrics||$0.301|
|Next 240,000 Metrics||$0.101|
|Next 750,000 Metrics||$0.051|
|Over 1,000,000 Metrics||$0.021|
|Alarm - Standard Resolution (60 Sec)||$0.103|
|Alarm - High Resolution (10 Sec)||$0.303|
|Alarm - Composite||$0.504|
|Logs - Collect (Data Ingestion)||$0.505|
|Logs - Store (Archival)||$0.035|
|Logs - Analyze (Logs Insights queries)||$0.0056|
|Events - Custom||$1.007|
|Events - Cross-account||$1.007|
|Contributor Insights - Matched Log Events||$0.029|
|CloudWatch Evidently - Events||$511|
|CloudWatch Evidently - Analysis Units||$7.5012|
- per month
- per month per dashboard
- per month per alarm metric
- per month per alarm
- per GB
- per GB of data scanned
- per million events
- per month per rule
- per month per one million log events that match the rule
- per canary run
- per 1 million events
- per 1 million analysis units
- per 100k events
Additional Pricing DetailsWith Amazon CloudWatch, there is no up-front commitment or minimum fee; you simply pay for what you use. You will be charged at the end of the month for your usage.
Premium Consulting/Integration Services—
Entry-level set up fee?
$0 per user per month
GitLab Editions & Modules
- per user per month
- per user per month
Additional Pricing DetailsWe provide free Gold and Ultimate licenses to qualifying open source projects and educational institutions, find out more by visiting our pricing page.
Likelihood to Renew
No answers yet
No answers on this topic
Based on 3 answers
Gitlab is the best in its segment. They have a free version, they have open-source software, they provide a good service with their SaaS product, they are a fully-remote company since the beginning (which means they are fully distributed and have forward-thinking IMO). I would certainly recommend them to everyone.
No answers yet
No answers on this topic
Based on 4 answers
The web console management is superior and I would have given Gitlab a 10, but sometimes it is hard to find documentation about a configuration setting in the gitlab.rb configuration file. As we move everything to code that means moving our CVS tools to code as well - and Gitlab to code. The usability of Gitlab from the end user's perspective is superior and the usability from the operations team is very good and getting better but there could be a little improvement in the gitlab.rb config file layout and documentation.
Amazon CloudWatch 8.0
Based on 14 answers
Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.
Based on 20 answers
At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft
Engineer in EngineeringInformation Services Company, 501-1000 employees
Amazon CloudWatch is efficient, reliable and has a high speed response as compared to its competitors and it maximizes an application's life at the same time giving you the best load balance and storage, the services that Amazon CloudWatch provides are way better and cheaper for the prices attached to them.
Gitlab made our product life cycle efficient. It has a better user interface and user experience. GitLab doesn't clutter with many features upfront and provides a lot of free services, which is missing in any other product. For small teams, it's the best piece of software. I always recommend giving it a try.
Return on Investment
- We were able to set up log streaming, retention, and simple downtime alerts within a few hours, having no prior experience with CloudWatch, freeing up our engineers to focus on more important business goals.
- CloudWatch log groups have made it relatively easy to detect and diagnose issues in production by allowing us to aggregate logs across servers, correlate failures, isolate misbehaving servers, etc. Thanks to CloudWatch, we are generally able to identify, understand and mitigate most production fires within 10-15 minutes.
- Choosing CloudWatch to manage log aggregation has saved us quite a bit of time and money over the past year. Generally, 3rd-party log aggregation solutions tend to get quite expensive unless you self-host, in which case you typically need to spend a fair amount of time setting up, maintaining, and monitoring these services.
- We are moving towards Gitlab only as our SCM & CI tool. So it would be an alternative to Jenkins. Saving our licensing cost there.
- We have also stopped using Confluence & using Gitlab for our documentation purposes. Reducing cost there as well.