Operations | Monitoring | ITSM | DevOps | Cloud

Everybody is used to dealing with the bugs on their smartphone and other technology devices In their homes that have been an issue for years. The fact that they may never be resolved is just one of those things that we’ve decided to accept. At Cribl, we approach this situation differently — we’re not okay with bugs of any size.

Without logs, or a good understanding of them, debugging an application or looking through an error stack trace can be challenging. Luckily, Flask logging can change the way you understand debugging and how you interact with logs produced by the application. The Flask logging module gives you a way to record errors over different severity levels. A default logging module is included in the Python standard library, and it provides both simple and advanced logging functions.

We are pleased to announce that an upgraded version of the Linux Node integration is available in Grafana Cloud, including the capability to visualize logs that are correlated with previously existing metrics. It also includes a new pre-configured dashboard based on the USE method, which focuses on showing resources utilization, saturation, and errors.

You probably have heard of logging agents, such as Logstash or Fluent Bit, if you’ve been investigating log analysis, monitoring, and observability. If so, and you’re wondering what logging agents are and why you might need them, you’ve come to the right place. This article will look at what logging agents are for, their advantages, and what you can use instead of a logging agent.

With Cloud SQL for SQL Server, you can bring your existing SQL Server on-premises workloads to Google Cloud. Cloud SQL takes care of infrastructure, maintenance, and patching so you can focus on your application and users. A great way to take better care of your application is by monitoring the SQL Server error log for issues that may be affecting your users such as deadlocks, job failures, and changes in database health.

What’s the saddest log line in the multiverse? A log line without context. That’s according to Grafana Labs software engineer and Grafana Loki tech lead Ed Welch, who joined Grafana Labs VP of Culture Matt Toback and Engineering Director Mat Ryer for the latest episode of “Grafana’s Big Tent," our new podcast about people, community, tech, and tools around observability.

One of Cribl Stream’s selling points is the reduction of ingested log volume, which helps our customers control costs and improve system performance. This can be accomplished in two ways – either by eliminating duplicate or unnecessary fields and null values within the events, or controlling the number of specific events that actually get sent to the destinations through strategic filtering.