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Latest Videos

How to Improve Kubernetes Management and Administration with LogDNA

In this video, we will show how LogDNA helps DevOps teams using Kubernetes to consume, control and collaborate with logs. By providing value to data from every source, including Kubernetes, developers are empowered to leverage logs to ensure they can continue to accelerate development cycles, and Ops teams can easily onboard microservices teams without the need to modify their infrastructure.

Tutorial | How to Set Up LogDNA Ingestion Source

Centralize your logs from any source in LogDNA so that you can monitor and troubleshoot your systems and applications in a single UI. In this video, I’ll show you how to add an ingestion source. We support multiple ingestion sources, which you can learn about in our documentation portal below. In this video, we’ll show you how to ingest Kubernetes logs using the LogDNA Agent.

Tutorial | How to Custom Parsing with LogDNA

LogDNA automatically parses common log types so that you can easily view and search through them. If you have logs that aren't in a format we automatically parse, you can create a custom parsing template so they'll be parsed as well, allowing you to use them in views, alerts, boards, and graphs. In this video, we will show you how to use Custom Parsing templates for a log that we don't automatically parse, such as one from an internal application.

Tutorial | How to use LogDNA Screens

Use LogDNA Screens to display daily log activity from all of your systems or select systems. Use time-shifted graphs to aggregate data from the previous week to compare activity levels in your current week. Our screens let you create an easy-to-read dashboard containing widgets that convey metrics from your logs. These include graphs, gauges, tables, and time-shifted graphs. In this video, we'll create a screen with widgets that provide different views of your webserver's 404s.

Webinar | Influencing a diverse and equitable workforce, from startups to the enterprise

In this fresh take on Allyship in the Tech space, Ingrid Hadley from ILH Possibilities and Tucker Callaway, CEO of LogDNA, will discuss the issues that the industry faces from decades of putting diversity, equity, and inclusion on the back burner. The conversation will be moderated by Alexis Ohanian, Co-founder of Reddit and Initialized Capital who is a first-round investor in LogDNA.

IBM Log Analysis with LogDNA

IBM Log Analysis with LogDNA enables you to quickly find the source of issues and gain deeper insight into application and cloud environment data. Easily aggregate and search application, and server logs within a single platform. Forward logs from IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. IBM Log Analysis with LogDNA is trusted by teams like IBM Cloud, The Weather Company, and IBM Watson.

See the Forest from Your Logs | IBM Logging Solution Log Analysis with LogDNA

IBM Log Analysis with LogDNA is an IBM Cloud service that provides hosted log management using LogDNA. It lets you collect, analyze, and manage logs in a central location without having to provision or maintain your own logging solution. You can forward logs from your IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. In addition, you can leverage the IBM Cloud to manage the service, set access controls via IAM, and even archive older logs to IBM Cloud Object Storage. When you provision an IBM Log Analysis with LogDNA instance, you get access to a LogDNA endpoint and web UI hosted on the IBM Cloud. Your logs are stored on the IBM Cloud itself, allowing you to colocate your logging service and applications for greater throughput and control. You get the full benefits of LogDNA—including fast log ingestion and searching, over 30 integrations and ingestion sources, and support for dozens of log formats—with the security and convenience of the IBM Cloud.

LogDNA | Log Management for the Kubernetes Age

LogDNA is a modern log management solution that empowers DevOps teams with the insights that they need to develop and debug their applications with ease. Users can get up and running in minutes, see logs from any source instantly in Live Tail, and effortlessly search them with natural language. Custom Parsing, Views, and Alerts put users in control of their data every step of the way.