Operations | Monitoring | ITSM | DevOps | Cloud

One of the most important events you should be monitoring on your network is failed and successful logon events. What comes to most people’s minds when they think of authentication auditing is OS level login events, but you should be logging all authentication events regardless of application or platform. Not only should we monitor these events across our network, but we should also normalize this data so that we can correlate events between these platforms.

If you work with large amounts of log data, you know how challenging it can be to analyze that data and extract meaningful insights. One way to make log analysis easier is to normalize your log messages. In this post, we’ll explain why log message normalization is important and how to do it in Graylog.

Picture a simple E-commerce platform with the following components, each generating logs and metrics. Imagine now the on-call Engineer responsible for this platform, feet up on a Sunday morning watching The Lord of The Rings with a coffee, when suddenly the on-call phone starts to ring! Oh no! It’s a customer phoning, and they report that sometimes, maybe a tenth of the time, the web front end is returning a generic error as they try to complete a workflow.

As the affordable choice for cloud computing, Google Cloud Platform (GCP) is catching up to its competitors, like AWS and Microsoft Azure. As a business, you need the speed and scalability that the cloud provides, but you want to limit your costs to ensure you hit revenue targets. With GCP, you found a digital services business partner to help you meet your business objectives, a technology that gives you the service availability you want at the speed you need.

We are excited to announce the release of Graylog 5.1! A follow-up to our 5.0 release, Graylog 5.1 brings updates across our entire product line, including changes to infrastructure, Security, Operations, and our Open offerings.

Businesses are generating vast amounts of data from various sources, including applications, servers, and networks. As the volume and complexity of this data continue to grow, it becomes increasingly challenging to manage and analyze it effectively. Centralized logging is a powerful solution to this problem, providing a single, unified location for collecting, storing, and analyzing log data from across an organization’s IT infrastructure.

In today’s digital age, the internet has become an integral part of our daily lives. From working remotely to streaming movies, we rely on the internet for almost everything. However, slow internet speeds can be frustrating and can significantly affect our productivity and entertainment. Despite advancements in technology, many people continue to face challenges with their internet speeds, hindering their ability to fully utilize the benefits of the internet.