Amazon CloudWatch vs. OpsCompass

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

We previously had separate products to manage Azure and AWS, each with different capabilities, and it was very complex for our team to go back and forth and try to make sense of each environment. OpsCompass is very well suited to give you a single view of our entire cloud environment. OpsCompass also brings excellent compliance policies. We were not highly skilled with these policies, but the product made it easy to perform an assessment of our current state and identify areas where we had non-compliance issues. CIS policies were a great area to start and we later tried the Microsoft 365 policies, which were also helpful. More policies would be great to see.

• 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

• Quick inventory of all my cloud resources
• Detects changes to my cloud resources--including the source of the changes (user or system)
• Cost impacts of changes to my cloud infrastructure

• 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

• I would like to see more integrations to help surface alerts. Slack would be great, as an example.
• An imbedded tour or onboarding would help our new users, but overall, the product is pretty easy to figure out

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

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

In this price range, we didn't find any other tools that provide this degree of cloud resource visibility. It's been an efficiency game-changer. I hope we'll see new modules as they expand their features to include active resource management policies. They've done such a good job of anticipating the needs of our CloudOps team, I plan to evaluate those new features (if/when they arrive).

• 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

• Our team was able to do roughly 30% more with the product. The automation helps us spot issues without a lot of manual work
• We identified changes that would have had a massive cost impact--spinning up or forgetting about infrastructure we didn't need.
• OpsCompass prevents configuration drift and maintains a healthy state across multi-clouds.