While Instrumental offers broad support and integrations for application, server, service, and custom monitoring, certain AWS data is only available within the AWS CloudWatch service. Over the past few months, we’ve been testing a deep integration with CloudWatch and are excited to release it to all users.
Category: Product News
We’ve updated Instrumental’s pricing to be fully metered and we replaced our 30-day trial with an entirely free Development Plan. While Instrumental’s pricing has been usage-based for a long time, this new model eliminates our plans and minimum spend requirements. With no minimum monthly spend, Instrumental is now a much better fit for smaller projects. Read More
Instrumental receives a lot of raw data, upwards of 1,000,000 metrics per second. Because of this, we’ve always used an event queue to aggregate the data before we permanently store it.
Before switching to AWS Kinesis, this aggregation was based on many processes writing to AWS Simple Queue Service (SQS) with a one-at-a-time reader that would aggregate data, then push it into another SQS queue, where multiple readers would store the data in MongoDB.Read More
We’re excited to announce two improvements to Instrumental that’ll make it easier to understand the context of your application and server monitoring graphs. Read More
Today, we’re launching InstrumentalD as a major upgrade and replacement of Instrumental Tools. Since 2011, Instrumental Tools has provided a system metrics daemon and a powerful plugin framework to write custom scripts for service monitoring.
While the ability to write fully custom service monitoring in a language of your choice is an important feature (and we’re keeping the plugin framework!), InstrumentalD includes out-of-the-box service monitoring for the following:
- (and more to come)
Graphs Are Easier to Share
You can now copy and paste any graph URL, and be sure that when someone clicks it they’ll see the same thing as you. This always worked once you’d saved a graph, but now we continuously update the URL for every graph. This means you can share a graph as soon as you create it without cluttering up your project. Read More
Timely and relevant alerts are a key component of effective application monitoring, and we’ve done a lot of work recently to improve our alerts. Let’s dig in and talk about the improvements we’ve made!
The first thing you’re likely to notice are the improvements to your alerts configuration page.
From here, you’ll see a list of all your alerts. Read More
Instrumental is about to get a brand new look! For the last few months we’ve been hard at work on a modern, intuitive, and easier UI. We’ll be rolling it out to users over the next few weeks, but we wanted to give you a sneak peek now.
New Time Selector
We merged the resolution and duration dropdowns into a single global control. Read More
We use Instrumental’s application monitoring to track all kinds of things. Many of them are about server and app performance, like latency, queue response time, and disk utilization. But we also have graphs for other kinds of monitoring. This series explores some of our more interesting graphs.
We’ve added two new features to make the query language even better – a new wildcard operator that doesn’t match metric children, and a method for adding a constant value to any graph.
1) ? wildcard operator.
This wildcard operator is basically the same as * except that it will never match a dot. Read More