Your log records may be missing a key ingredient that unlocks the world of observability for your applications, infrastructure and services. If you're building a new application or enhancing an existing one, consider adopting the OpenTelemetry Logs Data Model's Log and Event Record Definition. Adopting this definition enriches your logs by adding additional data, making it easier to use them to correlate them with metrics and traces, in addition to XYZ.

In our recent webinar hosted by Bill Balnave, VP of Technical Services, and Brandon Shelton, our Solution Architect, we discussed how data's continuous growth and dynamic nature cause DevOps and security teams to lose confidence in their data. The uncertainty about the content of telemetry data, concerns about its completeness, and worries about sending sensitive PII information in data streams reduce trust in the collected and distributed data.

In cybersecurity, “Load Balancing Graylog with Nginx: The Ultimate Guide” is your reference guide. This guide helps to install Nginx. Imagine your Graylog, already proficient at managing vast log data, now enhanced with the Nginx load balancing capability to ensure peak performance. NGINX ensures your Graylog cluster isn’t over-taxed, similar to a well-organized team where work is evenly distributed.

Log management tools provide visibility into the performance and behavior of systems, applications, networks, and infrastructure components. By collecting and analyzing logs, you can monitor for anomalies, track trends, and identify potential issues before they escalate. Choosing the right log management solution requires careful consideration of several factors to ensure that it meets your specific needs and goals. Here are the most popular open source log management tools to help you choose.

According to Statistia, the total number of data breaches reached an all-time high of 3,205 in 2023, affecting more than 350 million individuals worldwide. These breaches primarily occurred in the Healthcare, Financial Services, Manufacturing, Professional Services, and Technology sectors. The mishandling of sensitive log data provides an on-ramp to many of the most common attack vectors.

Organizations are building data lakes and bringing data together from many systems in raw format into these data lakes, hoping to process and extract differentiated value out of this data. However, if you’re trying to get value out of operational data, whether on prem or in the cloud, there are inherent risks and costs associated with moving data from one environment to another.