Making sense out of logs is not an easy task. Log management solutions, such as Sematext Cloud, gather and accept data from multiple sources. Those sources can have different log events structures, providing a different granularity. They may not follow common, logging good practices and be hard to get some meaning from. Because of that, it is important that the application we develop and follow best practices. One of those is keeping meaningful log levels.

What do you think of a website that displays SSL/TLS certificate errors when you visit it? Most people abandon it in disappointment. A certain amount of trust and respect for the service is lost. After investing a lot of effort and time in getting users to visit your site, and the user finds the site down or showing a warning, it will result in having dissatisfied users. Moreover, if the downtime or warning is due to a security issue, it will also hurt your brand image.

Log analytics, log analysis, and log management tools have become essential in troubleshooting. With logging analysis tools – also known as network log analysis tools – you can extract meaningful data from logs to pinpoint the root cause of any app or system error, and find trends and patterns to help guide your business decisions, investigations, and security.

Logs are one of the most valuable assets when it comes to IT system management and monitoring. As they record every action that took place on your network, logs provide the insight you need to spot issues that might impact performance, compliance, and security. That’s why log management should be part of any monitoring infrastructure.

Do you use an error tracking tool for your website? Have you ever tried to debug a problem that a user reported, and when you looked at your error tracking tool the reported error was simply: “Script Error”? Such errors are impossible to further debug because there is no additional information apart from that message.

Time to first byte, first contentful paint, DNS response time, round-trip time, and the list goes on and on. With all of these metrics, how are you supposed to know which are the most important ones that you should monitor? To understand what those numbers are supposed to look like, you’ll have to get a reference point. Something that’s supposed to give you a starting point.

When it comes to troubleshooting application performance, metrics are no longer enough. To fully understand the environment you need logs and traces. Today, we’re going to focus on your Java applications.

Having visibility into your Java application is crucial for understanding how it works right now, how it worked some time in the past and increasing your understanding of how it might work in the future. More often than not, analyzing logs is the fastest way to detect what went wrong, thus making logging in Java critical to ensuring the performance and health of your app, as well as minimizing and reducing any downtime.

Monitoring your system and infrastructure is critical to ensure the performance of your services. In fact, as software development moves faster and faster, alerting and monitoring becomes an indispensable practice for modern DevOps teams. Why is that exactly? That’s what I’m going to discuss today.

Over the past few years, we’ve seen an almost obsession with developing and adopting CI/CD tools throughout the DevOps community. There are thousands of “how-to’s”, “top x tools”, and “tool x vs tool y” type articles, and it has gotten to the point where it’s quite difficult to figure out how and which one to pick as your own.