One thing we believe at Grafana Labs is that your data should be presented in a way that makes sense to you. Since the release of Grafana v7.0, we’ve seen a lot more developers taking advantage of the new plugins platform, which helps them build high-quality custom plugins faster than ever.
Java is a well-established object-oriented programming language that epitomizes cross-platform software development and helped to popularize the “write once, run anywhere” (WORA) concept. Java runs on billions of devices worldwide and powers a huge range of important software, such as the popular Android operating system and Elasticsearch. In this tutorial, we will go over how to manage Java logs with the ELK Stack and Logz.io.
Unfortunately, in this time of increased dependency on Microsoft Teams, Zoom and other remote conferencing solutions while working from home, Microsoft 365 had a Teams Audio/Video Conferencing outage between August 19th and 20th of this year. Fortunately, for Exoprise customers, they were able to detect the outage, learned of it many hours before Microsoft reported the outage and were able to stay informed as to when it was fixed.
With the evolution of technology in recent times, the face of communication is ever-changing. In today’s environment, failing to adapt to these changes would mean failing to understand what the customer needs. Since every organization is migrating to smartphones and tablets, and employees are starting to depend more on these mobile devices, we at the NetFlow Analyzer team decided to up our game in terms of our mobile offering.
In this post, we’ll review some common InfluxDB Cloud 2.0 errors for beginners. We’ll discuss probable causes as well as recommended fixes. This blog uses the Telegraf System Configuration and data as an example to illustrate the various errors you may encounter. Having some familiarity with this dataset is useful in understanding the issue and the resolution.
We examined best practices for logging in a prior series. However, how can you apply those best practices in real life? Let’s dive into how you could use LogDNA in an opinionated manner to utilize best practices to bring value to your DevOps-focused projects. How can we ensure we follow best practices and keep our logs secure and compliant as noted in the previous series? Let’s pretend we’re setting up centralized log management with LogDNA for a new team and project.
If you’ve heard of the term “serverless architecture” but you have no idea what it means, don’t feel bad. This buzzword (buzz-phrase?) has been on the rise for the past few years, and it doesn’t look like it’s going to stop. More and more cloud companies are trying to promote serverless architectures for businesses. There are plenty of benefits to using a serverless architecture for your business.
Being able to easily monitor the health of all your sites and services from multiple global locations is a powerful tool for site reliability. However, no one wants to sit and stare at a status dashboard all day. Naturally, teams want to be alerted when there is an issue. We can do that with alerting in Kibana. And when coupled with Elastic machine learning, alerts can be automatically generated from anomalies that are automatically detected. That’s the power of Elastic Observability.
Thanks to awesome contributions from the community and the hard work of our integrations team, the Honeycomb Rails integration comes with lots of great features out of the box. This post is an end-to-end tutorial to show you exactly the steps involved, from creating a new Honeycomb team to getting your data in and observing your app in production.
