At Honeycomb, we’ve been listening to your feedback. You want easier ways to predict usage and scale your observability spend with your business. What would it look like to meet you where you already are, using similar terms, and give you more control with a simpler experience? We think that means reimagining the customer experience into one that centers around an event-based model. But what exactly is an event? What does that mean for your team’s observability journey?

Datadog dashboards provide immediate visibility and insight into your environments. Setting template variables enables you to filter your dashboard graphs on the fly to visualize specific sets of tagged objects. Now, with saved views, you can save sets of frequently used template variables in order to easily find the data you most care about with just a few clicks.

Grafana v7.0 is coming soon! Here’s another sneak peek of one of its features: the inspect drawer. The inspect drawer is a feature that every panel will support, including internal as well as external community plugins. In this new drawer, you will be able to view the raw data in a table format, apply some predefined transformations, and download as CSV. “Download as CSV” previously only existed as a custom feature for the Graph & Table panel.

Out of the box monitoring solutions are getting more and more difficult to implement. In addition, they may not have the features you need, and they’re always becoming more expensive. It’s no wonder you’re trying to create a cost-effective solution via infrastructure monitoring cost management on your own by using a combination of your on-site development talent and a few open-source libraries.

Whether you’re a developer debugging an application or on the DevOps team monitoring applications across several production clusters, logs are the lifeblood of the IT organization. And if you run on top of Google Kubernetes Engine (GKE), you can use Cloud Logging, one of the many services integrated into GKE, to find that useful information. Cloud Logging, and its companion tool Cloud Monitoring, are full featured products that are both deeply integrated into GKE.

When applications are deployed in the production environment, developers expect them to work smoothly without any performance issues. However, applications often experience unexpected bottlenecks, making it crucial to monitor applications. One of the simplest ways to monitor a C# application is to emit, save, and index log data for search, analysis, and troubleshooting. We’ll discuss how you can monitor your applications while making the most of C# logging.

From the development and operations side, launching a new software application can be quite challenging. Deciding which tools to use, how to organize the task pipeline, managing collaboration among team members, monitoring performance and potential issues after launch, etc. It’s not easy to get it done right. Dashbird recently went through all of this. Behind the scenes, our amazing development team worked really hard to overcome all challenges and deliver the best value to our users.

The digital era always strives for newer and more innovative technology that can make the world a better place. The modifications that we are observing in current technology are not just rapid, but exponential.

ReactJS combines the speed of JavaScript with unique rendering capabilities to make applications that are highly dynamic, performance oriented, and responsive to user input. State of JS report 2018 cites performance as the major reason ReactJS has gained so much popularity in such a short time. When it comes to options for building single-page applications (SPAs), React delivers performance advantages over Angular and other JavaScript frameworks and libraries.

This article was contributed by Michael Hinkle, Probe Engineering and Manufacturing Supervisor at Texas Instruments. My name is Mike Hinkle, and I use InfluxDB to monitor my daughter’s pulse oximeter and to better understand her overall health. Through my career as an engineer, currently at Texas Instruments, I was aware of time series databases and I love to play with various technologies.