In our December update, we have significantly revamped and improved manual alerting. If you need to carefully evaluate incidents before distributing them manually to the respective teams or want to send critical operational updates to relevant personnel, you’ll love the new features we’ve introduced! Additionally, we’ve added intelligent filtering options for automatically incoming events.

With increasing numbers of alerts, keeping focus on the important and most critical alerts proves to be more and more of a challenge. A reduction of alert noise, meaning the prevention of too many created alerts and any kind of user notifications, is needed to ensure efficient alert response. While a detailed explanation of this topic is given in this blog post, a flexible and automated setup for your relevant resources can be achieved with Terraform using the ilert Terraform provider.

Mean time to repair (MTTR), sometimes referred to as mean time to resolution, is a popular DevOps and site reliability engineering (SRE) team metric. MTTR identifies the overall availability and disaster recovery aspects of your IT assets or application workloads. The acronym MTTR can cause some confusion since it has different meanings across different industries. Sometimes, MTTR refers to mean time to respond: the amount of time needed to react to a problem.

In the dynamic world of IT operations and software development, downtime or service disruptions can be costly. As businesses rely more on digital infrastructure, managing and responding to incidents effectively is no longer optional—it’s a critical necessity. However, many organizations struggle to differentiate between incident response and incident management, often using the terms interchangeably.

Managing modern IT environments is becoming more complex and fragmented as organizations rely on a broader range of applications and services, including cloud, hybrid infrastructure, microservices, and legacy systems. This complexity and velocity surpass human capacity and old processes, making it challenging for IT teams to respond efficiently to incidents.

The handoff between IT operations (ITOps) and incident management is often chaotic. NOC operators receive an overwhelming deluge of noisy low-priority alerts, which prevents them from detecting actionable, important alerts. This delay causes tickets to pile up, SLAs breached, and unnecessary assignments and escalations to L2 and L3 engineers. Concurrently, L1 analysts react to user-initiated tickets with little to zero context, forcing them to escalate the issues.

At FireHydrant, we believe that what happens after incidents is just as important as what happens during – and that’s why Retrospectives have always been a cornerstone of our product. Today, we’re proud to introduce the most powerful, customizable, and collaborative retrospective experience you’ll find anywhere.

Observability refers to the ability of the DevOps team to track, monitor, and measure the state of their pipeline and operations. Without observability, you are working in the dark, unaware of what is working. With the growing complexity of modern IT systems, DevOps observability is no longer optional. Gartner estimates that by 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools, up from less than 20% in 2024.

Incident management is all about efficiently handling and resolving disruptions in IT services or business operations. It involves spotting, analyzing, and fixing any event that interrupts or could potentially disrupt critical services. The goal is to minimize downtime, keep service quality high, and ensure business continuity. This process includes documenting everything for future reference and improvement, helping organizations learn from past incidents and develop better response strategies.

There are plenty of good SRE/Ops related podcasts out there. I follow a few of them and listen to episodes whose titles sound interesting. The problem with podcasts is that some episodes focus on one topic, and other episodes deal with a host of topics. In between there is filler and things that are not relevant to the topic but are necessary to carry on a conversation. Spending 30-60 minutes listening to podcasts is not always a great use of time.