Docker’s power and versatility have cemented its place in developers’ and administrators’ toolkits. Along with this widespread adoption comes the critical need for effective logging in Docker containers. However, once you scale beyond a single container on a single machine, effectively capturing and working with logs from Docker presents a challenge. The native docker logs command quickly becomes inadequate, and you’ll need a more scalable solution.

Many modern software applications are built with a microservices architecture, and Node.js has become the runtime environment of choice for many developers building microservices. However, working with logs in microservices—especially as complex applications comprise dozens (or more) microservices—is a challenging and cumbersome endeavor. Logging is a crucial part of building and maintaining an application.

After the craziness of the last few years, it is understandable that IT, DevOps, and operations teams want more stability in their personal lives and professional roles. However, there appears to be a disconnect between their desire for stability and the vision from the top.

Application programming interfaces (APIs) have become a critical part of almost every business. APIs are responsible for transferring information between systems within a company or to external companies. For example, when you log in to a website like Google or Facebook, an API processes your login credentials to verify they are correct.

If you watched our recent SolarWinds Day: Secure by Design panel discussion, you know security is a critical need for all businesses today. Secure by Design is our guiding principle for how we built our security approach, adhering to government regulations and industry expectations.

Node.js logging, like any form of software instrumentation, isn’t an easy thing to get right. It takes time, effort, and a willingness to continue to iterate until a proper balance is struck. There are so many points to consider, including: Previously, here on the Loggly blog, I began exploring these questions in the context of three of the most popular web development languages: PHP, Python, and Ruby. But these aren’t the only popular languages in use today.

Our hybrid world is rapidly growing and changing due to emerging technologies like artificial intelligence (AI), machine learning (ML), robotics, quantum computing, and cloud services. While these advancements bring many advantages, they’ve also made digital systems more complex, increased cost, and introduced new cybersecurity challenges.