Operations | Monitoring | ITSM | DevOps | Cloud

LogDNA Guide: Putting Alerts into Practice

Alerts are a core part of monitoring systems. Using alerts keeps you aware of changes within your infrastructure and applications, helping you identify and respond to issues faster. Log management solutions like LogDNA provide an ideal environment for configuring alerts, since it allows you to create detailed alerts based on your log data. Rather than manually search for problems, you can use alerts to scan your log data in real-time and receive immediate notifications on potential problems.

Support Your Customers More Effectively with Honeycomb

Customer success can be a serious differentiator and competitive advantage for companies today. Everyone wants to ship quality products to their customers faster, and the rise of subscription-based pricing and SaaS applications in the last decade means that ensuring customer success is a more critical part of the business than ever.

How Not to Fail at Data Visualization

Grafana, with its huge amount of data sources and plugins, has all the capabilities one needs to create accurate graphs. Although creating dashboards is easy, interpreting each panel is hard if it’s not correctly visualised. Misinterpretation is one of the most common causes of wrong conclusions that make us hunt ghosts during debugging sessions. There are many common pitfalls which we can avoid if we follow some rules.

Best Practices for Hybrid Cloud Management

One of the unintended side-effects of the public cloud is the enablement of a platform-agnostic cloud architecture. This means that it’s now easier than ever to mix offerings from multiple vendors (cloud vendors in this case) to form a single application or service-based solution. There is one gotcha, however: log management.

Observing Kubernetes: Lessons learned building, managing & monitoring cloud native systems

This talk covers experience and thoughts about how to approach the monitoring and management of cloud-native systems. It will draw both from observations of the opportunities provided by systems like Kubernetes as well as from practical hands-on experience from building real monitoring systems. With luck it will provide both experiences from the past, and inspirations for the future.