In today’s digital world, application responsiveness isn’t just an end-user desire but an expectation. Nobody understands the challenges of meeting these demands better than IT, which must remain poised to act when an issue occurs while also finding ways to innovate, improve, and implement continuously.

Over the past year, Grafana Labs has grown from 300 to 700 Grafanistas. Moving forward, we expect to continue to maintain a high rate of change, and to sustain that, we need to ensure there is flexibility in how our teams* are set up. The majority of our Engineering squads have changed in size and structure — and the same goes for the Grafana Observability team, where I work.

We’re thrilled to announce several new observability features for the Pub/Sub to Splunk Dataflow template to help operators keep a tab on their streaming pipeline performance. Splunk Enterprise and Splunk Cloud customers use the Splunk Dataflow template to reliably export Google Cloud logs for in-depth analytics for security, IT or business use cases.

Adoption of AWS Lambda functions in cloud-native applications has increased exponentially over the past few years. Serverless functions, such as the AWS Lambda service, provide a high level of abstraction from the underlying infrastructure and orchestration, given these tasks are managed by the cloud provider. Software development teams can then focus on the implementation of business and application logic.

Dear Miss O11y, How is modern observability using tracing, such as Honeycomb, different from the previous distributed tracing software I'm familiar with, like Dapper, at my company? I haven't really been able to wrap my head around Dapper. Does "advanced" observability mean that it's even more complicated than Dapper is? Auntie Alphabet.

A website's performance can be measured using metrics. Metrics provide information on what is working, what is not, and where improvements are needed. Unlike numbers, spreadsheets, or data, it isn't as complicated or as time-consuming to use. For observability in marketing, website metrics that measure user engagement are vital. By analyzing metrics, the marketing department will be able to determine what web pages are not providing the company with value.

Before we take a deep dive into the ways to achieve observability, it is important to understand what observability is and how it is achieved. Frequently, observability is confused with monitoring. Observability provides end-to-end visibility into a system’s internal health by using the data it generates: logs, traces, and metrics. In a multi-cloud environment, observability enables you to detect and resolve anomalies.

Let’s look at IllegalArgumentException, which is one of the most common types of exceptions that Java developers deal with. We’ll see when and why IllegalArgumentException usually occurs, whether it’s a checked or unchecked exception, as well as how to catch and when to throw it. We’ll use a few examples based on common Java library methods to describe some of the ways to handle IllegalArgumentException.

The book is done. The book is FINISHED. There will be no more writing of the book! Holy macaroni. If you think you might be sensing just a SMIDGE of relief, you wouldn’t be wrong. We started writing this book, Observability Engineering: Achieving Production Excellence, three whole years ago, in the summer of 2019. Remember that?