Operations | Monitoring | ITSM | DevOps | Cloud

In today’s distributed work environment, understanding the geographic origin of network traffic has become more crucial than ever. As organizations adapt to remote work, IT teams face the challenge of monitoring and analyzing an expanding array of IP addresses from various locations. Graylog’s geolocation feature offers a powerful solution to this challenge, allowing teams to extract and visualize geographic information from IP addresses in their logs.

Imagine running a large company where data-driven decisions give you a competitive edge. You use a lot of business intelligence tools that tap into vast amounts of data, such as sales figures, inventories, and expenses. This analysis tells you how your company is performing. However, it does not reveal how your "company infrastructure" is performing. This crucial information comes from your systems in the form of telemetry data, such as logs and events.

Ensuring the security of your network infrastructure is critical for all organizations, and this requires going beyond traditional network monitoring and incorporating the monitoring of network devices, such as routers, switches, and other network devices. Whilst network monitoring includes the monitoring of devices, dedicated network device monitoring is a more thorough process for guaranteeing the health and performance of your organization's network devices.

History is filled with stories of human triumph. One of the most famous such stories is that of John Henry, “The Steel Driving Man.” As the traditional American folk story goes, John Henry and his fellow workers were faced with the arrival of the steam engine, which threatened to replace their manual labor. To prove that human strength and skill could outperform the new technology, John Henry challenged the machine to a contest.

In the rapidly evolving digital landscape, organizations are increasingly turning to the cloud powered with AI capabilities to enhance efficiency, scalability and innovation. Splunk, a leader in security and data observability, has been at the forefront of this transformation.

Observability provides many business benefits, but comes with costs as well. Once the (not-insignificant) work of picking a platform, taking an inventory of your applications and infrastructure, and getting buyin from leadership (both from the business and engineering sides of the house) is done, you then have to actually instrument your applications to emit data, and build the data pipeline that sends that data to your observability system.

Managing and storing vast amounts of data is no small feat, and can be a real drain on resources. Organizations often need to retain data for extended periods — sometimes up to seven years — to comply with regulations. It’s a common dilemma: data volumes keep skyrocketing, but budgets don’t follow suit. IT and security teams face immense pressure to handle this data deluge while navigating procurement pitfalls.

IT and security teams dealt with massive changes a few short years ago. New deployment environments added to the monitoring toil, while architectural shifts complicated IT operations’ cost and performance effectiveness. On the security side, the protected perimeter expanded exponentially. These factors resulted in a huge increase in data volumes and complexity, leading teams to turn to tooling and platforms to cope with their data.

At Logz.io, we’ve found that for most organizations observability challenges start with log management. Today more than ever, log management is a highly complex practice that involves mountains of ephemeral data, and the related obstacles are preventing people from achieving their observability goals, full stop. That’s why we designed our new log management UI to simplify the daily tasks of SREs and developers in managing logs and diving into data.

Follow these best practices when using Cloud Logging to centralize and manage logs from diverse sources.