Operations | Monitoring | ITSM | DevOps | Cloud

When something goes wrong, the first question is always: what changed? Whether it’s an unexpected change to your on-call schedule, a broken automation, or a modified Runbook that just seems off, understanding the issue starts with knowing who made what change, when it happened, and what exactly changed. But in an organization with many users, keeping track of every action can feel impossible.

With the growing complexity of cloud-native applications, DevOps teams often face challenges when setting up and maintaining Kubernetes observability. AIOps (artificial intelligence for IT operations) makes the process more manageable using AI and machine learning for monitoring, troubleshooting, and performance optimization. In this article, you’ll learn about the common challenges in Kubernetes observability and how AIOps can provide proactive and effective solutions.

Losing a customer to a competitor can be costly; customer retention is vital for business success and growth. Businesses must anticipate when and why a customer might leave, so they can implement measures to retain them. One solution might be to build a system that predicts churn. But can it be done? Using machine learning (ML) techniques to analyze customer service interactions can provide valuable insight into customer sentiment.

API security testing is software testing performed on APIs. It is meant to identify vulnerabilities in API endpoint communication and access. In modern software development, API security is a crucial aspect that cannot be ignored. API security testing can now be automated in CI/CD, enabling early detection of vulnerabilities, maintaining security standards without slowing down development, and reducing human errors.

We are thrilled to announce that Squadcast is now a part of SolarWinds, marking a transformative milestone in our journey to redefine reliability and incident management. When we started Squadcast, our singular mission was clear–to help teams achieve greater reliability by transforming incident response into a proactive, automated, and intelligent process. Today, that mission takes a massive leap forward as we join forces with SolarWinds, a global leader in hybrid IT observability.

The Snowflake data cloud provides storage, reporting, and analytics for organizations that rely on data to run their day-to-day operations. Since its launch from stealth mode in 2014, Snowflake has become a top data warehouse solution for its manageability, superior scalability, always-on data security, advanced analytics, and robust accessibility. But Snowflake isn’t perfect.

Monitoring your EC2 instances shouldn’t be complicated or exhausting. Yet, too often, engineers find themselves troubleshooting issues in the middle of the night, searching for the root cause of an unexpected failure. Whether you're managing a few instances or hundreds spread across multiple regions, effective EC2 monitoring helps you stay ahead of problems instead of constantly reacting to them. And if you've ever dealt with a critical alert at an inconvenient hour, you know how important that is.

Nginx error logs can be tough to decipher, even for experienced sysadmins and DevOps engineers. They hold valuable clues about what’s going wrong, but sorting through them can feel overwhelming. Understanding these logs doesn’t have to be a challenge. This guide breaks them down in a clear, practical way—so you can find the issues that matter and fix them with confidence.

When your Linux server starts acting up at 3 AM, you don't need a philosophy lesson—you need answers. Fast. That's where journalctl last comes in, the command-line equivalent of having a time machine for your system's events. If you've been piecing together log information like some digital detective with a cork board and string, it's time to upgrade your toolkit. Let's cut through the noise and get you the intel you need, when you need it.