Operations | Monitoring | ITSM | DevOps | Cloud

Incident Postmortem: How to Learn From Failures and Build Reliable Systems

When the issue settles, and systems are back, one question always remains: What actually happened, and how do we stop it from happening again? That’s where incident postmortems come in. Not just as documentation, but as a structured way to learn, improve reliability, and replace guessing with clarity. A good postmortem isn’t about blame, heroics, or perfect narratives. It’s about truth, learning, and building systems that get stronger with every failure.

7 Common Incident Response Challenges and How to Overcome Them

Incident response teams deal with several challenges. Alert noise, unclear ownership, lack of automation, and more. It’s important to keep an eye on these challenges and resolve them from time to time because they can turn minor issues into major outages. In this blog, we’ll discuss some of the common incident response challenges, how they affect, and how you can resolve them. Let’s dive in!

Incident Response Team: Roles, Responsibilities, and Structure Explained

Incidents don’t wait. They hit production, disrupt users, and pull teams into long recovery cycles. And a well-structured incident response team helps you move fast, limit damage, and restore services without chaos. In this blog, we’ll explain what an incident response team is, its key functions, team composition, and different types of teams. Let’s get started!

How to Receive Cloud Outage Alerts in Microsoft Teams

Cloud outages like the recent ones at Cloudflare, Microsoft Azure, and AWS can have a significant impact on your business with downtime, lost revenue, and unhappy customers. They can also disrupt your team's ability to work effectively. To stay on top of such outages, your team needs to know about them in an easy and timely way. In this article, we will see how to integrate IncidentHub cloud outage alerts with Microsoft Teams.

How Log Management and NDR Work Together to Speed Up Incident Response

Log management and Network Detection and Response (NDR) solutions are closely related but offer different layers of visibility. Rather than overlapping, they complement each other, together providing a connected view of what’s happening in your environment. How exactly? Let’s take a closer look.
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Early IT Outage Alerts in Action: 20+ Major Cloud Incidents of 2025

The IT cloud outages in 2025 are already shaping up to be a wake-up call for IT teams, MSPs, and developers worldwide. Even the most reliable services can experience disruptions, impacting workflows, customer experience, and business continuity. While major providers often take time to acknowledge incidents publicly, StatusGator's Early Warning Signals empower organizations to detect outages in real time, sometimes hours before official confirmation.

How AI Agents Are Redefining the SRE Role

Even the best site reliability engineers (SREs) spend too much time doing reactive work—triaging incidents, gathering context, escalating to the right teams, and documenting what happened. That work is essential, but it’s not where an SRE’s highest value lies. These engineers are hired to build and maintain resilient systems, not play air-traffic control with every alert that hits their queue.

From data management to an intelligent data fabric architecture

Large enterprises today manage more machine data than ever before. From legacy applications to modern, ERP and supply chain systems to cloud infrastructure, cybersecurity, and customer-facing applications, much of this valuable data remains trapped in silos, limiting its potential to drive faster decisions, strengthen resilience, and meet the demand for optimum service availability.

From signal to action with ilert and Ekara integration

Modern SRE and IT operations run on two truths: you must see problems the way users do, and you must respond fast. With the new ilert and Ekara integration, you can turn Ekara’s powerful synthetic and real-user insights into actionable alerts and incidents in ilert – routed to the right on-call engineer, enriched with context, and communicated to stakeholders via status pages. The result: fewer surprises, faster recoveries, and happier users.

MTTR Explained: How Mean Time to Resolution Transforms Incident Management Performance

Global DevOps standards prioritize speed and steady delivery. From an operational standpoint, long resolution times mean teams spend more time reacting to problems instead of focusing on preventative work and innovation. Consequently, operational costs go up, since resolving incidents often requires pulling in resources across teams for collaborative troubleshooting. Over time, this misalignment of resources can disrupt the product roadmap and slow down the release of updates.

Intelligent IT Operations: How Modern Teams Achieve Faster Response and Always On Reliability

IT environments look very different from what they were a few years ago. Applications now run across hybrid clouds, systems update constantly, and users expect services to be available at all times. Despite this shift, many IT teams still depend on manual workflows and disconnected tools that slow down response and make it difficult to maintain reliable operations. Modern IT operations require more than basic monitoring or traditional ticketing systems.

The Future of IT Monitoring: How Smart Alerts and Automation Drive Faster Response

Many IT teams rely on monitoring tools that reveal what is happening but do little to guide next steps. Dashboards show spikes, alerts fire nonstop, and yet issues still take too long to resolve. Traditional monitoring focuses on visibility, but visibility alone no longer matches the speed or complexity of modern digital operations.

Announcing a forthcoming integration with PagerDuty + Azure AI SRE Agent for faster incident response

The energy at Microsoft Ignite this year was electric. AI was everywhere, and the possibilities are limitless. As developers and operations teams explore what AI can do, one thing became clear: the future isn’t about switching between tools. It’s about intelligent agents working together to help humans solve problems faster. At PagerDuty, we’re building on that excitement.

4 Golden Signals of System Reliability: A Practical Guide for Your Team

Modern systems produce endless streams of metrics. CPU usage, request volume, cache hit rates, node counts, queue depth, the list keeps growing. With this much data, it’s easy for teams to get lost in dashboards without knowing what actually matters. That’s why DevOps and SRE teams rely on the 4 Golden Signals of System Reliability. They provide the simplest and clearest way to understand user experience and system health.

Incident Management vs Change Management: Key Differences Explained

The Incident Management vs. Change Management are two such moments that highlight a core difference teams face every day. One is a reaction to failure. The other is a planned improvement. That’s the heart of incident management vs. change management. Both keep systems reliable, and both help teams move faster without breaking things. Let’s explore how they differ and how they work together.

From Reactive Response to Systemic Resilience: The System That Gets Smarter With Every Incident

Most operations teams are stuck in a reactive loop: Resolving incidents as they happen, then moving on to fight the next fire. This approach keeps things running in the short term, but prevents responders from documenting their learnings in a way that improves overall system resilience. There are practical reasons for this.

Demo Roundups! Building Resilient On-Call Operations for the Holiday Season

The holidays are retailers' make-or-break moment - when every minute of downtime directly impacts revenue and customer experience. Join us for a retail-focused deep dive into building holiday-ready on-call operations that protect your peak season revenue. We'll demonstrate how PagerDuty's new scheduling experience and AI assistance ensure seamless coverage during your busiest - and most critical - time of year.

What is Jira Service Management (JSM)? Key Features & Benefits Explained

Atlassian is shutting down OpsGenie. New sales stopped on June 4, 2025. Complete shutdown happens on April 5, 2027. Atlassian wants you to migrate to Jira Service Management (JSM). But like many OpsGenie users, you probably have questions. What is JSM? How does it handle alerting, escalation policies, and on-call schedules? What automation options does it have? Is it the right fit? And more. This blog breaks down everything you need to know.

Inside the Cloudflare Outage: Real-World Data from UptimeRobot

On November 18th, 2025, a large Cloudflare outage briefly broke big chunks of the internet. For several hours, users around the world were greeted with 500 errors, including platforms like X, ChatGPT, Spotify, and many others that run behind Cloudflare’s network. At UptimeRobot, we sit in a slightly unusual spot during events like this: So when Cloudflare has a bad day, we see it twice: once in the alerts we send to our customers, and again in how it affects parts of our own infrastructure.

Five key takeaways from EDUCAUSE 2025: Adopting AI while navigating change

Having just returned from the 2025 EDUCAUSE Annual Conference in Nashville, I want to share some insights on the future of campus IT from the higher education technology leaders in attendance. Every year, this conference provides an opportunity for technology providers and higher ed professionals to connect and explore the latest innovations in higher education technology. Two themes emerged as critical priorities.

Reliability lessons from the 2025 Cloudflare outage

On November 18, 2025, X, ChatGPT, Shopify, and many other major sites went offline simultaneously. Even Downdetector, Ookla’s popular outage tracking website, briefly went offline. What caused this issue? Why were so many major websites affected by it? And what steps can you take to reduce the impact on your own applications? ‍

The 7 Most Common Incident Mistakes (and How to Prevent Them)

The hidden blockers slowing down your incident response and how to remove them before they become reliability risks. Incidents rarely go wrong because of one big failure. Most of the time, it’s a handful of small, familiar mistakes that slow teams down, muddy communication, or create confusion in the heat of the moment. Fortunately, these mistakes are predictable and fixable.

Making Your Business Resilient Against Cloudflare Like Outages

Cloudflare-like outages can cost your business a significant amount of money. This week’s Cloudflare global outage is a wake-up call for business resilience. You can stay resilient against such outages by regularly performing resilience testing and updating your application or infrastructure configurations.

It's Never Different This Time: LLM Reliability Without the Hype with Julien Simon

In this episode, Julien Simon, longtime voice in the open-source ML world, reminds us that even in the era of GenAI, reliability fundamentals haven’t changed. Julien breaks down why calling “the same model” from different providers can produce wildly different results, how deployment choices introduce hidden variability, and why reliability teams need to think of LLM systems as distributed systems.

Five ITOps best practices to stay ahead during major third-party outages

When external providers fail—whether it was CrowdStrike outage last year, AWS outage last month, or the Cloudflare DNS outage yesterday—the symptoms inside your environment often look like internal issues: timeouts, login failures, API errors, service degradation, or sudden spikes in dependency-related alerts. It’s natural for teams to start searching through their own infrastructure first, but none of these symptoms clearly point to your systems as the root cause.

OnlineOrNot's lessons from Cloudflare's outage on 2025-11-18

On 2025-11-18 at 11:48 UTC, Cloudflare declared an incident affecting the global network (that also affected OnlineOrNot). OnlineOrNot monitors websites, APIs, web apps, and cron jobs, while providing status pages as well. While we partially mitigated the issue by enabling a fallback to AWS-based monitoring, between 13:00 UTC and 14:33 UTC failing checks went unreported, heartbeat checks over-reported, and status pages were unavailable.

Navigating External Outages: How Selector Cuts Through the Cloudflare Noise

Yesterday’s widespread Cloudflare outage reminds us how crucial external dependencies are to the stability of our own applications. When a key edge provider like Cloudflare goes down, the impact on your internal monitoring systems can look like a catastrophic, internal system failure triggering a massive storm of alerts and sending engineering teams into frantic, misdirected debugging sessions.

How Datadog Feature Flags is resilient to cloud provider failures

As major incidents like AWS’s October 2025 outage illustrate, modern systems are immensely interconnected. A failure in one can lead to a cascade of downstream problems. In this case, issues with DNS resolution for DynamoDB led to widespread disruptions with other AWS services and, subsequently, thousands of applications and services that rely on that infrastructure.

AWS And Azure Outages Will Recur - Here's How You Ensure Resilience

The cloud has long promised limitless scalability and near-perfect uptime. But if you tried to access your Microsoft 365 dashboard or recline your smart bed last week, and got nothing but a spinning icon, you weren’t alone. In the span of 10 days, both Amazon Web Services (AWS) and Microsoft’s Azure Cloud suffered widespread outages that rippled across industries.

Cloudflare outage: another wake-up call for resilience planning

Another day, another massive Internet disruption, and this time it’s Cloudflare taking huge parts of the Internet offline. This incident is not an anomaly. It is part of a recurring pattern that has become standard in digital infrastructure. We have reached an inflection point in digital operations. Outages at major cloud and content delivery network (CDN) providers are now expected. The only real uncertainty is when it will happen next.

Manual Call Forwarding vs. Schedule-Based Call Routing: What's the Better Way to Handle On-Call Support?

When your team shares one support number, someone has to decide who gets the calls when customers need help after hours. And if your team rotates on-call responsibilities weekly, which is common in IT (SRE, DevOps, ITOps, etc), clinical and field engineering teams, you’ve probably relied on manual call forwarding at some point. On paper, it seems straightforward: update the forwarding number each week to point to the person who’s on call. In practice? It often turns into a scramble.

Reliability lessons from the 2025 Microsoft Azure Front Door outage

On October 29th, 2025, Azure Front Door suffered an outage that impacted Microsoft services on a global level, including Microsoft 365, Outlook, Xbox Live, Copilot, and more. It also affected Microsoft Azure, meaning companies like Costco, Starbucks, and Alaska Airlines ran into issues for both customer-facing and internal systems. The root of the issue was a misconfiguration in the data plane for Azure Front Door and the Azure Content Delivery Network.

Google Workspace outage on November 12: How StatusGator detected it first

On November 12, 2025, users around the world faced difficulty accessing Google Workspace products including Google Drive, Google Docs, Google Sheets, and Google Slides. While the outage did not impact every user, it was widespread and disruptive. StatusGator detected the incident early using real user data and issued an Early Warning Signal long before Google officially acknowledged the issue.

Jira Service Management (JSM) Review for Incident Management (2025)

Atlassian is shutting down OpsGenie. New sales already stopped on June 4, 2025, and the platform will be completely offline by April 5, 2027. As an OpsGenie user, you now face a critical decision: Migrate to Jira Service Management (JSM), Atlassian’s recommended path, or choose a different solution. And if you’re not sure JSM is the right fit for your team’s incident management needs, this review will help you decide. I signed up for JSM and put it through real-world testing.

Bloom filters: the niche trick behind a 16× faster API

This post is a deep dive into how we improved the P95 latency of an API endpoint from 5s to 0.3s using a niche little computer science trick called a bloom filter. We’ll cover why the endpoint was slow, the options we considered to make it fast and how we decided between them, and how it all works under the hood.
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Cascading Failures Aren't Inevitable: Lessons from the AWS DNS Outage

AWS outages grab headlines because they affect millions, but the root cause often comes down to something invisible: DNS failures and cascading service dependencies. The complexity of modern cloud systems, combined with the advanced technology powering platforms like AWS, makes these outages particularly challenging to diagnose and resolve. The recent AWS outage proves one thing: you can't prevent every DNS issue, but you can create resilient architectures and prevent a single failure from taking down your entire service if you test for it.

Weaving AI into the fabric of the company | incident.io

At incident.io, we’ve spent the past year shifting how we work to incorporate the AI into both how we build and what we build. The result? AI has become a fundamental pillar of our company. This is the story of how we built reliable AI for reliability itself — reshaping how teams manage and resolve incidents. From early experiments to a company-wide culture of building with AI, this is how we’re redefining incident response for the future.

Replacing AT&T Email-to-Text with OnPage's Critical Alerting

When AT&T officially shut down its email-to-text and text-to-email service on June 17, 2025, a quiet but essential part of many organizations’ communication workflows disappeared overnight. Messages that used to be sent to addresses like simply stopped delivering. For teams who relied on those alerts to reach the on-call clinician, engineer, technician, or service lead — this created an unexpected and urgent gap. This wasn’t just a convenience feature going away.

How Can I Use Categories in SIGNL4 to Quickly Identify Alert Types?

When teams manage a high volume of alerts, it’s easy for things to start blending together. A system outage, a temperature warning, a network slowdown – without a way to quickly identify what’s what, it takes longer to triage and prioritize. Especially on mobile, scrolling through a list of similar-looking alerts can slow your response and add confusion during incidents.

BigPanda Acquires Velocity: Accelerating the Future of Agentic IT Operations

Today marks an exciting milestone for BigPanda and for the future of IT Operations. We’re thrilled to announce that BigPanda has acquired Velocity, an AI SRE company whose technology and team share our passion for transforming how enterprises keep the digital world running. Velocity brings deep expertise in Site Reliability Engineering (SRE) and major incident response, developed alongside some of the world’s most sophisticated technology organizations.

Why Agentic AI Adoption Is Accelerating in Europe and What Comes Next

Across Europe, the cautious optimism business leaders held towards AI agents has evolved into more widespread enthusiasm. What was once a curiosity is now core to how many European organizations operate, respond, and innovate. According to PagerDuty’s latest agentic AI survey, three-quarters or more of organizations in France, Germany, and the UK are deploying multiple AI agents. This growing confidence reflects a broader trend.

How to Choose an AI SRE Solution

The AI SRE landscape has exploded over the past year, with vendors racing to add artificial intelligence capabilities to their platforms. For engineering leaders evaluating these solutions, the sheer number of options can feel overwhelming. Some vendors are building AI-native solutions from scratch, while others are retrofitting AI onto existing workflows. Cloud providers are embedding agents into their ecosystems, and observability platforms are adding intelligence layers to their telemetry data.

Detecting an AWS Outage and DR Lessons

A few weeks ago, on 20th October 2025, AWS suffered a widespread outage in its US-EAST-1 region that affected a large number of customers globally. More than 1,000 apps and websites were impacted including major banks and popular games, streaming and social platforms such as WhatsApp, Snapchat, Fortnite and Pokémon Go.

Jira Service Management (JSM) Review for On-Call Management (2025)

OpsGenie is shutting down. And Atlassian recommends migrating to Jira Service Management (JSM). But if you’re not sure JSM is the right fit for your team’s on-call management needs, this review will help you decide. I signed up for JSM and put it through real-world testing. I created on-call schedules, rotations, and overrides. Then, I reviewed JSM’s on-call management across 4 key criteria. For each criterion, I shared what I liked and what I didn’t.

How Rootly works with Slack | An end-to-end demo.

Rootly is the AI-native on-call and incident management platform that helps you resolve incidents faster, improve system resilience, and streamline on-call operations. It’s your always-on SRE copilot that automates root cause analysis and identifies patterns that drive continuous improvement—trusted by thousands of companies like LinkedIn, NVIDIA, Replit, Elastic, Canva, Clay, Tripadvisor, and Grammarly.
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Preparing for cloud failures: Monitoring strategies for distributed hybrid infrastructure

When AWS experienced its recent outage, the ripple effect was immediate. Critical workloads slowed, dashboards went blank, and many teams realized multi-cloud isn't automatically resilient. Cloud-level failures are inevitable due to the interdependent components and complex IT architecture. The recent AWS disruption reminded many teams that the cloud isn't a magic uptime guarantee. Even the most mature providers can-and do-experience large-scale service interruptions.

Event Flows: Deep dive into feature

Managing alert routing in complex environments is hard. When events occur, alerts must reach the right people at the right time, but traditional alert sources struggle with sophisticated, context-aware routing. Event Flows is ilert’s node-based workflow system at the heart of our alerting infrastructure. It enables intelligent event processing, time- and context-based routing, and safe automation, so teams reduce alert fatigue and accelerate incident response. ‍

Service Observability, Service Operations and Service Orchestration: Unifying Visibility and Action Across the Enterprise

For large enterprises, the health and resilience of Business Services define customer experience and business reputation. Yet as technology estates grow in complexity, fragmented toolsets and siloed teams make it difficult to maintain service availability and prevent incidents before they impact the business and ultimately, customers.

When AI Thinks and Humans Act: The Future of Operational Resilience

Artificial Intelligence has become the sharpest tool in the digital arsenal – detecting anomalies, predicting failures, and uncovering risks before they unfold. Yet even the smartest system can’t roll up its sleeves and fix what’s broken. AI can see the problem. But only people can solve it. That’s the critical gap in today’s automation revolution: turning AI’s insight into human action.

Reliability lessons from the 2025 AWS DynamoDB outage

On October 19th and 20th, 2025, the AWS region US-EAST-1 suffered a massive outage. What started with a 3-hour Amazon DynamoDB outage from a DNS issue led to an Amazon EC2 outage that lasted an additional 12 hours before normal service was restored. Over the course of the outage, there were over 17 million outage reports as companies like Snapchat, Roblox, Amazon, Reddit, Venmo, and more were impacted.

Unlock Faster Incident Resolution with PagerDuty + Logz.io

Join us live as we demo how PagerDuty and Logz.io work together to supercharge your Root Cause Analysis. See how real-time observability and enriched incident context can help your team detect, triage, and resolve issues in minutes—not hours. Don’t miss this chance to see the integration in action, ask questions, and learn how to keep your teams in sync while driving continuous improvement. Perfect for anyone looking to level up their incident response!

Top 10 Hospital Messaging Systems (2025): Comparing Communication Tools for Modern Care Teams

Secure and seamless communication is at the heart of effective patient care. Whether coordinating handoffs, requesting consults, activating code teams, or managing after-hours coverage, clinicians rely on messaging systems that are reliable, fast, and built to protect patient data.

Work Where Your Teams Already Are with PagerDuty's AI Agents for Slack

Modern operations happen in Slack, where teams spend their days collaborating, troubleshooting, and resolving incidents. And while many incident management tools offer Slack-friendly experiences, they lack end-to-end capabilities that teams need. During critical moments, other tools may require users to switch between Slack and their own interfaces, creating friction.

You Can't Fix What You Don't Measure: Observability in the Age of AI with Conor Bronsdon

Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production.

Triaging an Incident with a Critical Data Pipeline at #rivian

Rivian makes electric vehicles to advance its mission to keep the world adventurous forever. As software defined vehicles, Rivian’s R1T and R1S are connected to the cloud from day 1, and telemetry data is at the heart of enabling mobile notifications, remote diagnostics, fleet management, and more. With so many critical pipelines in the cloud, observability is a top priority for the data platform.

How Datadog is Reinventing On-Call #Datadog #OnCall #DevOps

Datadog is reimagining how engineers handle incidents—moving beyond simple alerts to an intelligent, voice-driven on-call experience. With Datadog On-Call, teams can acknowledge alerts, access runbooks, post to Slack, and collaborate in real time, all before even touching their computer. See how Datadog brings incident response, communication, and automation together so you can respond faster and keep customers informed.

MTBF, MTTR, MTTF, MTTA: Incident Metrics Explained

No doubt that incidents are inevitable. However, it’s how you manage them (detect, respond to, and resolve) that matters. And a robust incident management process relies on data, not guesswork. Incident Management metrics like MTBF, MTTR, MTTF, and MTTA provide measurable insight into reliability, response time, and recovery performance. When used together, they help identify weaknesses, reduce downtime, and build more resilient systems.

SRE vs DevOps vs Platform Engineering: What Are the Key Differences

Software delivery is more complex than ever. Teams need speed, reliability, and scalability to stay competitive. Site Reliability Engineering (SRE), DevOps, and Platform Engineering are three key disciplines that address these challenges. Though these terms are often used together, they are not the same and share distinct differences. In this blog, we’ll discuss each term individually, compare SRE vs. DevOps vs. Platform Engineering, and also show how they work together.

Observability vs. Monitoring: What's the Difference?

Modern systems are complex, distributed, and fast-changing, so keeping them reliable requires more than watching dashboards. Observability vs. Monitoring explains how teams gain the deep insight needed to detect, diagnose, and resolve issues. Monitoring collects predefined metrics and alerts you to known problems, while observability provides rich, contextual telemetry to investigate unknown failures.

Incident Management and Response

In this video, discover how Cortex transforms incident management by automating key processes, reducing response times, and providing real-time visibility into your engineering ecosystem. With seamless integrations and AI-powered insights, Cortex helps teams go from reactive to proactive, improving reliability and accelerating recovery.

Managing Alerts: Car Alarms and Smoke Alarms

Building and shipping an application is exciting, you watch your idea come alive and reach users. But once it’s out there, your real job begins: keeping it alive. An app in production isn’t just code running, it’s a living system. It needs monitoring to stay healthy and alerting to warn when something’s off. But there’s a catch: too few alerts, and you’ll miss real issues; too many, and you’ll drown in noise.