Operations | Monitoring | ITSM | DevOps | Cloud

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.

Why InfluxDB is Building Flux, a new scripting and query language

The new Flux (formerly IFQL) super-charges queries both for analytics and data science. Get an overview of the language features as well as the moving parts for a working deployment. Grafana shares Flux’s passion for analytics and data science. For that reason, they are very excited to showcase the new Flux support within Grafana, and a couple of common analytics use cases to get the most out of your data.

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.