30 articles
Learn how OpsBrief helps teams correlate deployments, operational events, and incidents to improve visibility into release risk and accelerate incident response.
Rosemary Samuel
Most postmortems identify symptoms, not causes. This post explains why traditional root cause analysis fails in modern systems (especially microservices) and introduces a faster, data-driven approach using dependency mapping and event timelines to find root causes in minutes instead of hours.
Jasmine Decker
Your system doesn’t fail randomly; failures are connected. A deployment triggers an error, which triggers alerts, which escalates into an incident. This guide explains how event correlation works, why most teams don’t implement it properly, and how correlating signals across tools reduces diagnosis time by 70%.
Jake Davids
When a major incident hits, someone has to be in charge. Not "in charge" in the sense of knowing the most about the systems - in charge in the sense of coordinating the response, making decisions under pressure, and keeping the team moving toward resolution. That's the incident commander. It's one of the most impactful roles in incident management and one of the least understood by engineers who haven't had to do it.
Andrea Brown
Two engineers look at the same production alert and disagree on whether it's a SEV1 or SEV2. One wants to wake up the VP of Engineering. The other wants to handle it quietly. Both are wrong - not because of their technical judgment, but because their organization hasn't defined what SEV1 means clearly enough for two people to reach the same answer from the same data.
Jasmine Decker
These two terms get used interchangeably in most engineering conversations - but they describe different things, and conflating them creates real gaps. Incident response is the real-time process of detecting and resolving a production problem. Incident management is the broader discipline that governs how your organization handles incidents before, during, and after they happen. The investments that improve each one are different.
Janelle McCombs
Your status page shows 99.9% uptime. Your customers are still complaining. That's the reliability vs. availability gap - and it trips up a lot of engineering teams. Availability is a number you can put on a status page. Reliability is whether your system actually does what users need it to do, consistently, over time. The two are related but not the same.
Andrea Brown
Ask five people at your company what an SLA is and you'll get five different answers. Some say it's a customer contract. Some say it's your uptime target. Some use it for internal response time goals. The confusion is common - but getting the distinction right matters for how you set goals, hold teams accountable, and communicate reliability to customers who depend on it.
Rosemary Samuel
MTTR dropped from 40 min to 10 min. But that's only 70% of the picture. The real win: engineers sleeping through on-call shifts. Mean time metrics are the most tracked reliability numbers in engineering - and the most misunderstood. This guide covers what each one actually measures, how to calculate them correctly, and how to use them to drive real improvement instead of just better-looking dashboards.
Jake Davids
At 2am with three engineers and five things going wrong, which do you fix first? If the answer depends on who's on call, you have a prioritization problem. An incident priority matrix takes that decision out of the individual's head and puts it into a shared framework - so the right incidents get the right attention, every time.
Alexander Eric
Your monitoring stack is solid. Datadog, PagerDuty, GitHub, Slack - all connected, all alerting. And your MTTR is still 40 minutes. The tools aren't the problem. The gap between "we know something is wrong" and "we know what to do about it" is the operations intelligence problem - and it's not solved by adding another monitoring tool.
Jasmine Decker
Atlassian is sunsetting Opsgenie as a standalone product. Thousands of teams need a migration path. This is an honest breakdown of the real alternatives - what each does well, where each falls short, and how to pick the right one based on what your team actually needs, not what sounds best in a demo.
Janelle McCombs
Your on-call engineer's phone goes off six times before 3am. By night three, they stop reaching for it with urgency. That's alert fatigue - and it's not a people problem, it's a systems problem. Here's what actually causes it, what it costs in MTTR and retention, and how to fix it structurally.
Andrea Brown
99.999% availability sounds like the gold standard. In practice it means your system can be down for 5 minutes per year - total. One deployment rollback and you've already missed it. Here's what five nines actually requires, what each level of the nines costs, and how to set the right target for your system.
Rosemary Samuel
Three acronyms used interchangeably, rarely defined precisely. SLIs are measurements. SLOs are targets. SLAs are contracts with consequences. Getting the hierarchy right changes how your team talks about reliability - and how you make deployment decisions at 2am.
Jake Davids
Learn how to write incident response runbooks that actually work. Includes templates, examples, common mistakes, and how to make runbooks your team will actually use.
Andrea Brown
Traditional incident response fails in microservices. Learn why, and discover the framework for incident response in microservices architecture with real-world examples.
Janelle McCombs
AI-powered incident extraction catches 50-70% more incidents than static alerts. Learn how ML anomaly detection works and how to implement it in your infrastructure.
Andrea Brown
Comparing 6 incident response tools in 2026: PagerDuty vs Incident.io vs FireHydrant vs OpsBrief. Features, pricing, MTTR impact, and which tool is right for your team.
Jake Davids
It's 3 AM. Your database goes down for 15 seconds. Your on-call engineer wakes up to a firestorm of alerts across six different systems. Payment failures. API timeouts. Frontend errors. Authentication problems. The engineer spends 45 minutes answering the question: "Which service is actually failing, and what do I need to fix?" With dependency mapping, they answer that question in 5 minutes.
Alexander Eric
Alert fatigue is the silent killer of engineering productivity. When teams receive 100+ alerts per day with 95% noise, critical incidents get missed, engineers burn out, and incident response slows dramatically. This guide reveals the true cost of alert fatigue (estimated $500K-$1M annually for mid-size teams), explains the alert spectrum (from healthy <10/day to crisis 100+/day), and provides 6 battle-tested solutions including AI filtering, alert correlation, smart thresholds, and alert consolidation. Includes a 10-point prevention checklist, metrics to track success, and shows how OpsBrief reduces alert noise by 95%.
Janelle McCombs
Learn how to prevent on-call burnout and protect your engineering team. Discover warning signs, proven strategies, and how to reduce burnout by 40%.
Rosemary Samuel
Master incident response with this complete framework. Learn best practices for faster resolution, better communication, and preventing future incidents.
Jake Davids
Learn proven strategies to reduce mean time to response (MTTR) and incident resolution time. Discover how leading DevOps teams cut incident response from 40 minutes to 7 minutes.
Janelle McCombs
Learn the operational signals that predict engineering burnout weeks before resignations. Discover how to prevent talent loss and improve team retention.
Alexander Eric
Discover why 54% of high-traffic campaigns underperform due to infrastructure issues. Learn how to prevent site crashes, slowdowns, and lost conversions during peak campaign moments.
Andrea Brown
Learn why 60% of feature launches cause unexpected infrastructure issues. Discover how infrastructure visibility prevents post-launch chaos and accelerates product velocity.
Jake Davids
Discover how one engineering team reduced incident diagnosis time by 82% by aggregating operational signals across tools. Learn the strategies you can implement today.
Rosemary Samuel
Most teams spend 15-30 minutes just finding incidents in Slack, Teams, GitHub, Discord, and Pagerduty instead of responding to them. Centralized event monitoring reduces detection latency by 80-85% and MTTR by 40-50%. Learn how companies achieve these improvements and implement centralized monitoring in 4 weeks.
Jake Davids
A single missed critical incident can cost your organization between $60,000-$300,000 in direct losses, plus millions in indirect costs from customer churn and reputation damage. Learn how detection latency compounds incident costs exponentially, and the ROI of centralized incident monitoring.
Janelle McCombs