Amazon CloudWatch vs. IBM Security QRadar SIEM

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.

Incentivized

QRadar is very well suited on environments where there are not multiple tenants or domains, we do have success on this kind of scenario. IBM Security QRadar SIEM is less appropriate for environments with multiple tenants, specially when each tenant represent a different End Costumer (such as for MSSP companies), those environments require a high amount of rules and building blocks replications, since each tenant will have its own "BB definitions", servers, rules exception, etc. Also, some information, such as EPS count or EPS dropped are generated by QRadar's own log sources, which takes place on default domain, therefore users associated with different domain can not have access to those logs, even when the information is related to other domain's environment. For example, even if Event Collector 1 is associated to Domain A, the log informing its dropped EPS is generated by System notification, log source that must be associated to Default domain.

Incentivized

• 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.

Incentivized

• Enables identification and prioritization of vulnerabilities in IT infrastructure for corrective action.
• Facilitates security incident investigation and forensic analysis.
• Provides a real-time view of security events, enabling immediate incident response.
• Can integrate with external threat intelligence sources to enrich data and improve threat detection.
• Enables the generation of detailed and customized reports.

Incentivized

• 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.

Incentivized

• Need to spend more time configuring the system to properly interpret and normalize different type of data collected from multiple resources.
• While Rule creation QRadar uses that rules to detect security threats and generate alerts, but to creating and managing rules is bit complex & tedious work to complete.
• IBM Security QRadar SIEM is excellent in handling large & complex systems that requires in-depth knowledge and extensive training to configure and maintain the system which includes upgrading, optimization of performance & issue troubleshooting.

Incentivized

With the arrival of IBM Security QRadar SIEM at our company, we have a better vision of all the security needs that may arise, it is a very safe software to use that prevents threats from damaging our IT environment, it is impossible to change it for another software.

Incentivized

A very special system to use without problems, the process is very genuine and does not require complicated procedures.

Incentivized

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.

Incentivized

Customer support is Good of IBM, While Using IBM QRadar its deployment is to slow and suddenly stop working and crashed we have contacted IBM Support and Rised a Ticket within a few minute we get call back from customer support and Query Resolved by them Fast And Rapid Support of Ibm

Incentivized

I believe that CloudWatch is a better solution to use with AWS services and resources in terms of cost and ease of integration with AWS infrastructure services. But keep in mind that Elasticsearch is better at aggregating application-level metrics. We chose CloudWatch because of its capabilities to integrate and monitor AWS services in almost real-time.

Incentivized

IBM Qradar takes the best from its competitors. Reliable and stable but sometimes very expensive, the SIEM from IBM offers a wide range of scenarios in which the customers can suite and size their own infrastructures. IBM Qradar doesn't really needs to stack up againt its competitors because it already sets an example in the SIEM world.

Incentivized

• 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.

Incentivized

• Offense investigation was really helped in tackling the incidents. It was accurate and brief
• The automation with IBM resilient (SOAR) was a milestone in elimination of user mistakes
• The X-Force threat intelligence supported us in getting the work done without any 3rd party enterprise OSINT database

Incentivized