Effective incident alerting is crucial for businesses to maintain smooth operations and customer satisfaction. Incidents often generate multiple alerts, each requiring timely and transparent handling to ensure a swift resolution. Ensuring transparency throughout the incident alert process can be challenging. This is where SIGNL4 steps in, offering a comprehensive solution that enhances transparency at every step of incident alert handling.

A quieter month this time around: you can now customize your status pages, there are additional overall statuses for status pages, and I fixed a few bugs.

In the observability space, ease-of-use has always been a key differentiator for Grafana. As much as we want to offer a powerful observability platform to our users, we also want to ensure they can get up and running as quickly as possible. Still, for those of you sitting down to build your first dashboard, we totally understand that a little guidance can go a long way.

Are incident reviews about learning or tracking actions? This question has sparked recent debate in incident management circles, including in my recent panel at SEV0 and in Lorin Hochstein’s post. Should the goal of an incident review be learning, or should it focus on tracking actionable improvements? When is the right time to discuss actions, and are they picked up just to make us feel better? From my experience, learning from incidents and identifying actions are inseparable.

The Industrial Internet of Things (IIoT) industry is experiencing rapid growth and transformation, driven by advancements in connectivity, data analytics, and automation technologies. The number of connected devices and sensors is constantly growing and is expected to be around 18.8 billion by the end of 2024. More and more manufacturers rely on automation every day. ‍

This month marks a huge milestone for us at Cortex. We’re excited to announce that ServiceNow, the global leader in digital workflows, has invested in our Series C funding round. Together, we’re pushing forward with our mission to unify tech operations at the enterprise through our industry-leading Internal Developer Portal (IDP).

Microsoft Azure is the most popular cloud computing platform after Amazon Web Services (AWS). With over 200 services and resources available, there are plenty of ways to use Azure. This means the Azure public cloud allows hundreds, if not thousands, of unique configurations. This flexibility is ideal for tailoring Azure to your workload’s requirements but also makes cloud management more challenging.

Kafka’s bread and butter is real-time data streaming, but like any complex system, it can run into performance issues. These problems often sneak up as your cluster scales, leading to bottlenecks, slowdowns, or even crashes if left unchecked. The good news? Most of these issues are fixable with the right diagnosis and a few tweaks. In this blog, we’ll look at some of the most common Kafka performance issues and provide practical solutions to get things running smoothly again.