Operations | Monitoring | ITSM | DevOps | Cloud

Cyberattacks against ecommerce businesses are accelerating, and recent incidents show just how many different angles attackers are exploiting. Whether it’s phishing campaigns, third-party data breaches, or malware injections, ecommerce stores are a prime target. Here are three recent incidents making headlines, and what they mean for ecommerce operators.

As of September 2025, the Artificial Intelligence for IT Operations (AIOps) market is a rapidly expanding and dynamic sector, projected to surpass $20 billion. The landscape is defined by a major consolidation trend, with large enterprise technology vendors acquiring key AIOps capabilities to integrate into their broader portfolios.

Monitoring serverless applications is critical to ensure optimal performance, reduce errors, and maintain end-to-end observability. Choosing the right serverless monitoring tools can help track serverless performance metrics, cold starts, and distributed traces across cloud functions. Below, we explore the top 10 cloud-native and third-party serverless monitoring solutions, highlighting their features, pros, cons, and best use cases.

Node.js has become the go-to runtime for building modern, high-performance applications. Its event-driven, non-blocking I/O model makes it particularly well-suited for apps that demand speed and scalability, such as real-time chats, gaming backends, streaming platforms, fintech dashboards, and e-commerce systems. It’s no surprise that some of the world’s largest companies like Netflix, PayPal, LinkedIn, Walmart rely on Node.js to deliver services at scale.

This month we’re rolling out several new capabilities designed to simplify daily work for SOC teams, MSSPs, and enterprise security operations. The focus is on easier access control, streamlined log management, and faster vendor onboarding.

Debugging embedded software has never been easy, but today’s systems are more complex and interconnected than ever. Real-time operating systems (RTOS) and continuous integration pipelines can make development faster—but certain classes of bugs are hard to reproduce and diagnose. These elusive issues often appear only under rare conditions, such as timing-sensitive race conditions or field-only failures. This is where Continuous Observability, powered by Percepio Detect, changes the game.

When debugging containerized applications in Kubernetes, kubectl logs serves as your primary command-line tool for accessing container logs directly. Understanding how to effectively retrieve, filter, and analyze logs becomes essential for maintaining application health and resolving issues quickly, especially in multi-container environments where correlation across services can make or break your troubleshooting efforts.