The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Ensuring a seamless customer experience is a growing challenge for digital technology providers. Yet, as functionality and a customer base scale, predictability can become challenging.
The journey to becoming cloud-native comes with great benefits but also brings challenges. One of these challenges is the volume of operational data from cloud-native deployments — data comes from the cloud infrastructure, ephemeral application components, user activity, and more. The increased number of data sources does not only increase datapoint volume – it also requires that monitoring systems store and query against data with higher cardinality than ever before.
If you’re building an IoT application on top of InfluxDB, you’ll probably use a graphing library to handle your visualization needs. Today we’re going to take a look at the charting library, Highcharts, to visualize our time series data with InfluxDB Cloud. However, I also encourage you to take a look at Giraffe, a React-based visualization library that powers the data visualizations in the InfluxDB 2.0 UI.
Rails is a classic on Ruby for a reason. The framework is powerful, intuitive and the language has a low entry bar. However, being designed when systems existed on a single server, standard Rails logging is excessively fractionalized. Even on a single server, a straightforward call can quickly turn into seven unique, unconnected logs.
Google Cloud Platform provides developers with many tools to build scalable apps in a way friendlier than AWS. In this article, Olasubomi Oluwalana shows us how we can use the Google Cloud Engine, Storage, and PubSub offerings to build an uptime monitoring system in Ruby.
Load balancers play an important role in distributed computing. With load balancers, you can distribute heavy work loads across multiple resources, which allows you to scale horizontally. Since they are placed prior to computing resources, they need to endure heavy traffic and allocate it to the right resources fast. For this to happen, monitoring the health and performance of load balancers is key. In monitoring, visualization helps users to view various metrics quickly.
In monitoring, a target system or device is a deciding factor in designing your monitoring stack. You will have to consider various aspects starting from how you want to collect data in what frequency to how you want to surface metrics to end users. You will have to take this strategic approach when you want to monitor your network infrastructure. In this article, we will discuss how Grafana, an open-source visualization tool, can help you to monitor network switches.
