Operations | Monitoring | ITSM | DevOps | Cloud

In the following example-driven tutorial we will learn how to use Prometheus metrics / OpenMetrics to instrument your code whether you are using Golang, Java, Python or Javascript. We will cover the different metric types and provide readily executable code snippets. Prometheus is an open source time series database for monitoring that was originally developed at SoundCloud before being released as an open source project.

Amazon DynamoDB is a key-value and document database that allows you to easily scale to huge numbers of records with single digit millisecond performance. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor DynamoDB and what is important to watch.

This release provides fixes for the InfluxDB and Elasticsearch metric writers. If you’re using TLS connections, the latter were not closed correctly. In addition to these fixes, we’ve also backported fixes for delayed and one-time notifications. Special thanks to mdetrano for being patient and testing this one.

Hey brother, can you spare $5 million? That’s about what Amazon estimates it lost in sales back in 2013, when its website went down for around 40 minutes. For the math junkies out there, that’s $125,000 a minute, or $2,083.33 a second.

To fully understand what NetFlow is and why it’s used for network monitoring, we first need to know what a flow is. When computers need to talk to one another they establish communication channels, commonly referred to as connections. (Technically speaking, these communication channels can only be called connections when the TCP protocol is involved.) A flow refers to any connection or connection-like communication channel.

We’ve talked to a lot of people about their company’s digital employee experience the past few years – from C-suite executives and board members looking to make sure they’re doing what they can to make work lives better and retain staff, to the actual CIOs and IT managers tasked with changing and improving their employees’ workplace experience. We’ve even heard from employees on the front lines every day about what works and what doesn’t at their companies.

Organizations that depend on distributed systems often write their applications in Go to take advantage of concurrency features like channels and goroutines (e.g., Heroku, Basecamp, Cockroach Labs, and Datadog). If you are responsible for building or supporting Go applications, a well-considered logging strategy can help you understand user behavior, localize errors, and monitor the performance of your applications.