Operations | Monitoring | ITSM | DevOps | Cloud

In this article we will show you how: To configure a dashboard to better understand your server and what's going on.

Log files, which are the records of everything that has happened in your server, application, or framework, are generally unfiltered and huge. Going on for pages, these plain text files are packed with tons of information and are the initial go-to place for any troubleshooting. However, the challenge lies in reading, understanding, and interpreting log files, and ultimately pulling out the right piece of information required for analysis.

Making your organization more transparent is not always an easy process. In our latest blog post, Adam Hammond, shares some tips and tools that can help you get started when it comes to keeping your teams and customers in the loop during downtime.The core message is that you need to make communication a cultural pillar of your organization.

In a recent blog post, I wrote about the work we’ve done over the past year on Cortex blocks storage. Cortex is a long-term distributed storage for Prometheus. It provides horizontal scalability, high availability, multi-tenancy and blazing fast query performances when querying high cardinality series or large time ranges.

We’ve heard from customers about how important it is to be able to reliably operate your applications and infrastructure running on Google Cloud. In particular, observability is critical to reliable operations. To help you quickly gain insight into your Google Cloud environment, we’ve added 21 new features to Cloud Operations, the observability suite we launched earlier this year, which gives you access to all our operations capabilities directly from the Google Cloud Console.

The CSV file format is widely used across the business and engineering world as a common file for data exchange. The basic concepts of it are fairly simple, but unlike JSON which is more standardized, you’re likely to encounter various flavors of CSV data. This lesson will prepare you to understand how to import and parse CSV using Logstash before being indexed into Elasticsearch.

One of the best things about cloud computing is how it converts technical efficiencies into cost-savings. Some of those efficiencies are just part of the tool kit, like pay-per-use Lambda jobs. Good DevOps brings a lot of savings to the cloud, as well. It can smooth out high-friction state management challenges. Sprucing up how you provision cloud services, for example, speeds up deployments. That’s where treating infrastructure the same as workflows from the rest of your codebase comes in.

All deployments are not created equal, but you'd never know it from your Slack channel notifications. In reality, some deployments you really care about, as they contain things like API changes or database migrations, and you want that information to surface. We created tags in Sleuth for this very reason. Out of the box, Sleuth matches files in your deployment with known patterns, and if any are found, tags your deployments automatically.

Once upon a time the telephone system was a trusted method of connecting people. While we now spend more time on our phones than ever, our relationship to phone calls has changed -- we’re hesitant to answer calls from unknown phone numbers, often because we think the call is a con. But what if the caller ID is spoofed/modified and made to look like a telephone number that you may trust or a number with a local area code and familiar prefix?

Hybrid cloud infrastructures run critical business resources and are subject to some of the strictest network security controls. Irrespective of the industry and resource types, these controls broadly fall into three categories. Workloads (pods) running on Kubernetes are ephemeral in nature, and IP-based controls are no longer effective. The challenge is to enforce the organizational security controls on the workloads and Kubernetes nodes themselves.