Linux is an open-source operating system kernel originally created in 1991. It has a reputation for being versatile, stable, and secure, hence its wide use on computing devices, beginning from servers and mainframes down to desktop computers, smartphones, and embedded devices. The broad uses for Linux and its popularity have led to the demand for effective monitoring.

Network infrastructure is the hidden glue between servers. In AWS, it takes skill, knowledge and experience to build a network that can be monitored, will perform and is secure. A key source of information to determine the health of a network is the logs, but network logs suffer from a serious problem. They’re noisy, and they’re often difficult to parse, but by leveraging indexless observability, Coralogix customers can drive insights from data that would previously have been untouchable.

Crontab logs are records of scheduled tasks (or "cron jobs") that are executed by the cron daemon on Unix-like operating systems such as Linux. These logs provide details about the tasks that have been run, when they were executed, whether they completed successfully, and any errors or issues that occurred during their execution. This detailed guide will cover all aspects of crontab logs, from fundamental concepts to advanced strategies for optimization.

Developed in the mid-1990s, Ruby is a dynamic, open-source programming language. The tool has grown in popularity from its initial release, having been used in modern systems covering a variety of corporate and academic use cases. Ruby gained further traction after the release of Ruby on Rails, a powerful web application framework written in pure Ruby.

Logstash serves as a real-time event processing engine within the OpenSearch ecosystem, which comprises OpenSearch, Beats, and OpenSearch Dashboards. Logstash acts as a centralized pipeline that collects data from numerous sources before forwarding it to OpenSearch.

Keeping smooth and safe operations now relies entirely on observability. But as there's more and more data to keep track of, the costs are going up. This makes it hard for your companies to balance how well things are running and their budgets. OpenTelemetry can help by making a standard way to collect and process all the data. We're going to share how OpenTelemetry can save you money on observability and why having too much data can be costly.

Observability is undergoing a massive shift as enterprises drive adoption of modern technologies, including cloud and microservices, along with disruptive technologies, such as generative AI (GenAI). To keep pace with the complex requirements of the modern tech stack, operations teams need to consider and adopt next-generation observability. Splunk users are often challenged by using products that provide fragmented observability, hampering their ability to modernize their environments.

Last time we spoke, I told you about our (then) brand-spankin’-new OTel over HTTP implementation, in both our OpenTelemetry Source and Destination. That was a little over a year ago, also known as a lifetime in tech! I wanted to take another opportunity to speak to you and introduce some of our new OpenTelemetry features, and share how you can put them into practice!

Imagine living in a world without caller ID, which is easy if you grew up in the “late 1900s.” Every time someone called, you had a conversation that followed this pattern: Hi! Who’s this? It’s Jeff! Hi Jeff! How’s it going? Today, most people already know who’s calling when they answer the phone because caller ID is built into smartphones and communications apps. As a developer, your Python logging is your application’s caller ID.

Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….