Have you ever needed to grab a log from a local server that is not part of the Windows Event Channel? Applications like IIS or DNS can write their logs to a local file, and you need to get them into your centralized logging server for correlation and visualization. Graylog sidecar can help by creating and managing a centralized configuration for a filebeat agent, to gather these types of logs across all your infrastructure hosts.

Within software development, application logging plays an important role. As much as we’d like our software to be perfect, issues will always arise within a production environment. When they do, a good logging strategy is crucial. But what is application logging? How should you be using application logs? Where can you find them? And what does all this mean for your own logging strategy? We’ll take a look at each of these questions in this post.

Kibana is a powerful visualization platform designed specifically for log management with Elasticsearch. It already provides a lot built-in, but its open-source nature obviously lends it to some pretty cool simple and complicated additions from its community of devs. Some favorites include adding certain kinds of visualizations, API attachments, better integration between Kibana and other platforms, as well simple add-ons for flair in reports.

The DevOps engineer is an important role in an organization because he or she is responsible for the success of a software project and its lifecycle. This person typically wears many hats—from software developer to managing system operations. These individuals usually have an extensive background in either software development or system administration. The DevOps engineer uses many different tools to be successful in their role.

Cloud Run for Anthos allows you to run stateless containers on Anthos GKE on Google Cloud, on-premises and multi-cloud environments. Cloud Run is serverless: it enables you to run requests or event-driven stateless workloads without having to worry about servers. It abstracts away all infrastructure management such as provisioning, configuring, and managing servers, so you focus only on writing code.

In the second installment of our Amazon Redshift series, we covered the different ways you can monitor the performance and disk space of your Redshift servers using tools in AWS. In this final post, we will discuss how you can take your monitoring and logging efforts up a couple of notches by using Sumo Logic with Amazon Redshift.

Cloud, microservices, Kubernetes — all these bleeding-edge technologies revolutionizing the way applications are built and deployed are also a huge security headache. Modern IT environments are increasingly comprised of more and more components and layers, each of generating growing amounts of data. In most organizations, more data is a double-edged sword. On the one hand, it gives teams more visibility into their environment.