Grafana k6 v0.44.0 has been released, featuring new experimental modules, an upgraded browser module, and tons of improvements. Get Grafana k6 0.44.0 Here’s a quick overview of the latest k6 news from the team and the community.

Nine. Million. Dollars. Well, $9.44 million to be exact for your average data breach according to the latest report from IBM, Cost of a Data Breach Report 2022. From 2017 to 2022, that number has only continued increasing from $7.35 million, an almost 30% increase in just five years. For a small company, a security breach can be the difference between staying open or closing the business. And for a Fortune 500 enterprise, that cost will be more severe.

For years, many organizations have hesitated to build a monitoring strategy for Workforce Experience, focusing on their consumer counterparts instead. A recent IDC Spotlight, sponsored by Catchpoint, suggests those days are soon to be numbered. In this blog, we will explore the key takeaways from the IDC Spotlight on hybrid work trends, entitled, Moving Toward a Hybrid-First Organization with Seamless Connectivity and Collaboration. Key Findings.

The pressure to release application features faster to meet the demands of customers presents a number of challenges, including unforeseen deployment delays, custom feature sets, and complex rollbacks when errors occur. To overcome these challenges, developers can use Flagsmith, an open source feature flagging and remote configuration service that allows developers to easily roll out and test new features for a specific subset of users.

RabbitMQ is a widely-used open-source messaging broker that facilitates message-oriented middleware for modern applications. It serves as a reliable and scalable mechanism for managing communication channels and messages between distributed applications. However, as modern distributed systems become increasingly complex, monitoring RabbitMQ's performance, availability, and other critical metrics becomes crucial for seamless operations. This is where RabbitMQ monitoring metrics come into play.

When managing queues and services in streaming data pipelines that use technologies like Kafka and RabbitMQ, SREs and application developers often struggle to determine if these pipelines are performing as expected. Visibility into the performance of a streaming data pipeline, after all, requires visibility into every component of that pipeline.