The latest News and Information on Log Management, Log Analytics and related technologies.
In the highly competitive IT industry, staying ahead of the curve is crucial for success. As IT companies strive to meet the evolving needs of their customers, they are discovering that providing embedded services and comprehensive training can significantly enhance their sales efforts. The importance of having services is discussed in this Harvard Business Review article.
Whenever an event occurs on your Windows machine, the operating system records an event log that includes details about the nature of the event (e.g., critical runtime error) or security identifiers (for audit events). Windows event logs not only record system and application activity but also user actions and background processes, making them an invaluable tool for monitoring the security and health of your systems.
Observability is essential for maintaining the performance and reliability of modern software systems. However, the cost associated with attaining and extending observability can quickly escalate in ways that may not even seem apparent at first. We hear from many organizations struggling to tamp down the costs of observability at a time when every dollar spent on technology is scrutinized.
Can you believe we’re already halfway through 2023? Time flies when you’re busy innovating and having fun (yet somehow also seems so slow when you are waiting for your next vacation!!). At Cribl, we’ve been hard at work releasing wave after wave of incredible new features and capabilities across our entire product suite.
Today I want to talk about metric queries. More specifically, I want to talk about an important concept that is going to make your queries run faster, give you more accurate results, and make your Grafana Loki operators (like me) much happier. A metric query in Loki looks like this: And the part I want to talk about is that at the end. Now, if you’re like me and have a short attention span and are already bored — I understand.
Cloud monitoring tools are utilized to gather an extensive range of metrics and logs from cloud resources and services. Some commonly monitored metrics include CPU utilization, memory usage, network traffic, disk I/O, latency, and response time. By monitoring these metrics, among others, it becomes possible to gain insights into resource utilization, identify performance bottlenecks, and ensure that the infrastructure operates according to expectations.