Monitoring AWS Application-Related Services

Monitoring AWS Application-Related Services

Amazon Web Services (AWS) has a suite of tools that help application development teams enhance and streamline their work experience, from the backend to frontend services. LogicMonitor consolidates data from these services and empowers users to monitor them side by side with the rest of their infrastructure, whether it’s in the Cloud or on-premises. Keep reading for tips on monitoring some of these services to ensure business continuity.

Document DB* (Database)

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Our users already monitor traditional MongoDB workloads, and with this DataSource, they can now monitor AWS DocumentDB workloads within LogicMonitor’s platform. For organizations that are planning to migrate from a traditional MongoDB environment to DocumentDB, LogicMonitor will provide metrics to closely monitor the transition and alert if there are any hiccups.

Keep the clusters healthy by monitoring the CPU, memory, network activity, database connections, and IOPS metrics. In the case of a node going down, you can monitor the replication lag metric (instanceReplicaLag). There is a chance that if the lag is too high, then your data is at risk of not correctly syncing, so make sure to keep an eye on this metric. 

It is crucial to keep backups either via the retention period or snapshots, but it is also essential to know how much storage space these backup are using. Overlooking storage in a cloud environment can create massive headaches, so keep track of the larger backup files to make sure you stay within the storage budget. By tracking these metrics, backupRetentionPeriodStorageUsed, and snapshotStorageUsed, you’ll be able to see any unexpected spikes and take action immediately.

RDS Service Limits* (Database)

LogicMonitor already has RDS specific Datasources that will handle useful monitoring metrics. This new enhancement is adding unique metrics to monitor the RDS service limits. Amazon sets service limits on the number of RDS resources that can be created by an AWS account. A few of these resources include the number of database clusters, instances, parameters, snapshots, and allocated storage. With this data, you can be on top of the limits/quotas Amazon has on your RDS resources. You won’t get caught off guard and will be able to respond accordingly when critical resources are closing in on the quota.

MQ (Application Integration)

Frequently, users will have complex services that may partially rely on MQ and partially on other infrastructure running elsewhere, either on-premise or Cloud. Centralized monitoring in LogicMonitor equips them with more visibility so they can proactively prevent issues with these complex services in hybrid environments. Amazon MQ is a managed message broker service for Apache ActiveMQ. LM provides visibility into these managed brokers so that application teams can maximize uptime and performance with metrics such as message counts, CPU, memory, storage, and network utilization.

AWS MQ dashboard in LogicMonitor

For active/standby deployments, LogicMonitor has a DataSource specifically for the standby resources. Separating the active and standby metrics allows for more clarity and keeps the data consistent.

Codebuild (Developer Tools)

AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. You can monitor the build projects to ensure builds are running successfully and at the right time. It is ultimately giving you the information to optimize performance and uptime alongside your infrastructure data. 

Application development teams need to be aware when builds fail. This DataSource has predefined thresholds that will automatically trigger notifications in the case of a failed build. Builds need to happen promptly, and with the breakdown of build time, you can pinpoint the step in the build that is causing delays and possibly add resources to optimize the build time of your projects.

We recently highlighted our commitment to our AWS partnership, and our developers keep cranking out new AWS monitoring integrations. Here is a previous blog highlighting some AWS analytics services. All of these new integrations are included with our LM Cloud offering. LogicMonitor will automatically start collecting these metrics if you are an LM Cloud customer and already utilizing any of these Amazon services. 

If you have any questions regarding these new monitoring integrations, please reach out or contact your CSM for more information. Or you can try LogicMonitor for free.

Juan Carlos Reyes

Juan Carlos is a loud and proud member of the Fightin’ Texas Aggie Class of 2014. He has 4+ years of experience as a performance engineer working with APM tools such as Dynatrace and New Relic. In his free time, he enjoys going on long hikes and exploring national parks with his wife. If you know any fun and exciting board games, make sure to drop him a note since he loves trying new games. Thanks and Gig’em!

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