5/5/2023 0 Comments Disk alarm![]() With Messages for RabbitMQ, you're provided with a single URI to connect, and this URI will reach out to three virtual IPs (VIP) that might change over time. You'll use all of the URIs in your application code when making a connection to Compose. When connecting to Compose for RabbitMQ, you're provided with two haproxy portals that are connected to three nodes. false indicates that an alarm was not triggered.įor additional checks related to memory alarms, you can gather information related to a single node's memory using the RabbitMQ HTTP API endpoint GET /api/nodes/' Connection URI differences You could also see whether memory or disk alarms were activated using the RabbitMQ HTTP API. Access the /api/nodes endpoints, and look for mem_alarm and disk_free_alarm in the GET response. Monitoring for blocked connections, in addition to your RAM and disk consumption, can be done through IBM Cloud LogDNA or through the IBM Cloud Monitoring service. Once you've determined whether to scale up RAM, disk, or both and completed the scaling process, then another notification will be sent- connection.unblocked-and messages will resume publishing. However, if your deployment is low on RAM and disk, you'll only get one notification.įor instance, if your deployment gives you a connection.blocked notification, you'll need to check first if the RAM or disk alarm has been triggered. When RabbitMQ is low on RAM or disk, a connection.blocked notification is sent to publishing connections. One way to monitor your usage and receive notifications if an alarm is triggered is to listen for block notifications through a client. You can read more about RabbitMQ alarms in their documentation for RAM and disk. RabbitMQ disk alarms are cluster-wide, so if an alarm is triggered on one node then, consequently, all nodes will be blocked until you've cleared the alarm. In both cases, connections will be blocked and you'll have to clear the alarms before the connections to publish messages are restored. For disk, an alarm will trigger once you've reached 80% of your allocated space. Prior to reaching your deployment's memory and disk capacity, RabbitMQ will trigger an alarm that will block connections that publish messages.įor RAM, an alarm will be raised when you use more than 40% of the allocated memory. RabbitMQ has memory and disk alarms that will alert you when you're about to reach your deployment's RAM and disk capacity. Thus, anticipate a higher memory watermark than Compose.Įssentially, you want to scale up both disk and RAM to acceptable levels in order to avoid performance issues, and also to avoid disk and memory alarms, which we'll look at now. Recent Erlang versions that newer versions of RabbitMQ use have less conservative memory usage. If you're coming from Compose, you should anticipate scaling up your RAM. In general, if you anticipate a spike in your usage or your memory consumption is really high, scale up your deployment's RAM. Watch your deployment using any of the IBM monitoring tools. On Messages for RabbitMQ, you can scale the RAM up and down. Therefore, increase the number of IOPS available by increasing the disk space to avoid get a sneaky disk error right from the start. This would lead to the publisher throttling until all your activity slows down to a screeching halt. Overall, IOPS affects message throughput and storage operations, which could lead to a disk falling behind when trying to get the space back after messages have been consumed. On Compose, we use SSDs on bare metal with SoftLayer however, Messages for RabbitMQ uses the endurance tier of IBM Cloud Block Storage.īlock Storage calculations are different in that you get 10 IOPS (input/output operations per second) per 1GB allocated. If you're coming from Compose, you need to know that the amount of RAM and disk you had on your deployment is quite different from Messages for RabbitMQ. This is the nature of using block storage for IBM Cloud Databases, and it applies to every IBM Cloud Database offering. It's very important to note that for disk, once you've scaled up your deployment, you cannot scale down. ![]() ![]() This can be done via the RabbitMQ HTTP API or right from the RabbitMQ administration panel. Since Messages for RabbitMQ doesn't autoscale, it's imperative to monitor your RAM and disk usage.
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