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+:PROPERTIES:
+#+SETUPFILE: setup.org
+#+export_file_name: aws-cloudwatch-metric-filters
+#+subtitle:
+:END:
+** Structed and passively collected metrics via AWS CloudWatch
+
+AWS is a vast and sprawling set of services. It can be hard to find the
+hidden gems like this one so I wanted to point this one out.
+
+Structured metrics are very helpful to monitoring the health and
+function of an software system.
+
+- Do you want to know how long a particular transaction typically takes?
+- How fast your database queries are?
+- How long external APIs take to respond?
+- Fire an alert when a particular function on the site happens too many
+ times? Or too few times?
+
+...plus a million other things specific to whatever system you're
+working on.
+
+There are a lot of great tools for doing this and one that you might not
+know about is AWS CloudWatch Metric Filters. If you're already on AWS
+then you should consider these because it requires only that your
+application logs to CloudWatch.
+
+If you're on ECS then the
+[[https://docs.aws.amazon.com/AmazonECS/latest/developerguide/using_awslogs.html][awslogs]]
+log driver for Docker gets you that nearly for free. By "free" I mean
+that your application itself can have /zero/ dependencies on AWS
+services and not require any AWS credentials or libraries to start
+pumping out metrics that you can visualize, alert on and record over
+time.
+
+The
+[[https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/MonitoringLogData.html][AWS
+docs]] themselves offer the canonical reference for configuring these so
+I won't go into detail here.
+
+However, the gist is that for a log filter you define the following
+properties
+
+- A filter pattern for extracting a discrete metric value out of a log
+ entry
+- A metric name to store the value in
+- An optional dimension for sub-classifying the value
+- And finally a log group to extract the metric values from
+
+After that you just run the application and as the logs roll in the
+metric values get pumped out. Then you can
+[[https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Create-alarm-on-metric-math-expression.html][define
+alarms for alerting]] on them,
+[[https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Dashboards.html][graph
+them]],
+[[https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-simple-step.html#policy-creating-alarm-console][define
+autoscaling rules]] from them and more.
+
+To conclude - AWS is big and hairy. While there are benefits to staying
+platform agnostic, some AWS services don't require much or any coupling
+of your application code to take advantage of. Cloudwatch Metrics is one
+of those services and you can get a lot of value out of it with not much
+effort.
+
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+
+
+
+
+
+
+
Just let people be wrong
+
+
+
+
+
+Warning: This, like most things, will involve a fair bit of projection.
+
+
+
+I have some thoughts about collaboration.
+
+
+
+While a lot of this is obvious and well accepted, I think there are some fine points worth elaborating on.
+
+
+
+The obvious part is that people work better together when they believe they are trusted. Trust breeds initiative and independence. Distrust breeds resentment and inaction.
+
+
+
+Consider the flip side of trust, for a moment.
+
+
+
+A common way that people show distrust when collaborating is either micromanaging or just coming in behind someone and redoing their work.
+
+
+
+If that demonstrates distrust then
+
+
+
+It's not enough that you simply do trust someone else to get the benefits, you need to show it. I think this is the part that many people skip or ignore.
+
+
+
+This is, of course, true in general.
+
+
+
+
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+
+
+
+
+
+