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How to Build an Incident Response Team: Expert-Backed Training Guide
A surprising statistic shows that while 65% of businesses train their teams to handle DDoS attacks, only 29% are ready to face advanced persistent threats.
Hidden Kubernetes Debugging Techniques That Senior DevOps Engineers Use
Kubernetes debugging challenges can frustrate even experienced DevOps engineers. The distributed system architecture makes troubleshooting complex with its many moving parts and dynamic orchestration. Engineers face tough situations when pods fail to start or services cannot connect. This becomes more challenging with minimal container images or security restrictions that block standard troubleshooting methods.
Incident Command System Roles: Essential Guide for Tech Companies [2025]
Tech companies need well-defined incident command system roles and responsibilities to handle emergency situations effectively. The Incident Command System (ICS) offers a standardized approach to manage emergencies and ensures all personnel work together seamlessly.
How to Use Artificial Intelligence Writing Code Safely: A Developer's Guide to Error Prevention
AI has transformed how developers write code, with 95% using it to improve productivity. Learn how to use AI coding tools safely while preventing security vulnerabilities and maintaining code quality.
How to Master Stakeholder Communication During Critical Incidents [Best Practices Guide]
Best practices in incident management begin with stakeholder communication during critical events. Learn how to master communication and minimize fallout during incidents.
15 Incident Management Best Practices That Actually Work
Discover 15 proven incident management practices that will help your organization handle incidents better and prevent future problems.
How to Master Bug Fixes: A Step-by-Step Guide for Dev Teams
A surprising 39% of developers still use manual tools to fix software errors. Learn how to master bug fixes with this comprehensive guide for dev teams.
AI in DevOps: The Skills That Will Keep You Relevant in 2025
AI is changing DevOps faster than ever, which affects how we build, deploy, and maintain software systems. Tools like ChatGPT and GitHub Copilot excel at automating repetitive tasks, checking syntax, and performing log analysis. They still lack human engineers' deep understanding and critical thinking abilities.
How AI and DevOps Work Together: A Practical Guide for Faster Incident Response
AI and DevOps integration boosts security monitoring by a lot and helps teams detect and respond to threats faster than manual methods. This automated approach prevents breaches and protects sensitive data through up-to-the-minute data analysis.
The Essential Guide to AI Incident Response: From Alert to Resolution
AI-powered systems can identify threats 51% faster than traditional methods - a remarkable advancement in security technology.
How Automated Root Cause Analysis Cuts Incident Response Time by 70%
Automated root cause analysis and machine learning capabilities are changing how teams handle incidents today. Companies that use AI-powered root cause analysis solutions see dramatic improvements in their operations. Their mean-time-to-resolution dropped by 78% - from 25 hours to just 5.5 hours per incident.
From Melting Servers to Calmo: War Stories and a New Hope
I've been on the front lines of hundreds of production incidents over my career. From websites going dark to data centers literally catching fire, I've felt the 3 AM adrenaline surge of scrambling to fix the unthinkable.
How AI-Powered Predictive Safety Stops Incidents Before They Happen
Organizations now stop workplace incidents before they happen instead of waiting for accidents. AI-powered predictive safety systems analyze huge amounts of live data from sensors, wearables, and past reports.
AI Root Cause Analysis: The Ultimate Guide to Transforming Troubleshooting (2025)
AI-powered root cause analysis cuts resolution time by 80% in just two months after deployment. Modern organizations typically manage 21 different observability tools in the ever-changing world of technology.
Speed Up Mean Time to Resolution with AI: From Hours to Minutes
Businesses lose up to $9,000 every minute their systems are down. This adds up to a whopping $540,000 per hour during critical system failures.
How to Set Up Smart Incident Response with AI (Pro Tips You Need to Know)
IT outages can cost large enterprises up to €1.5 million per hour. AI incident response has become significant to modern operations.
How we leverage Knowledge Graphs for AI driven RCA
At midnight, a routine database update causes a minor delay in processing transactions. This delay leads to a growing queue in the payment service, which goes unnoticed. By 6 AM, the queue is large enough to cause intermittent timeouts in the authentication service, affecting customer logins.
Why we are building Calmo
Modern software is inherently complex: microservices, containers, serverless functions, each one capable of generating an overwhelming amount of data. Maintaining reliability can become a juggling act that involves multiple monitoring systems, on-call schedules, and repeated incident triage.
Debug Production Faster with Calmo
Resolve Incidents and Alerts in minutes, not hours.