Operations | Monitoring | ITSM | DevOps | Cloud

There are tons of query languages. Yet, another query language was invented: the StackState Query Language, or STQL for short. Perhaps this raises some questions. Such as: Why did we not choose to implement SQL? Did we reinvent the wheel? How did we balance the complexity of the language against the time to implement the language? What's the learning curve of this new language? Let me share with you our novel approach.

Managing a device network comes with a host of unique challenges covering everything from security to speed. Some of these challenges can be made easier through the use of ping monitoring service or software. Ping monitoring is the act of pinging a device (assessing the time taken for ICMP protocol packets to be delivered to the target host and returned) regularly. If there's no response - or a later response than expected - you get an alert. This time is usually very fast, measured in milliseconds.

Once you’ve reached the point where you want to deploy your machine learning models to production, you will eventually need to monitor operations and performance. You might also want to receive alerts in case of any unexpected behavior or inconsistencies with your model or your data quality. This is where you most likely start learning about various aspects of Machine Learning Operations (MLOps).

You and your team have a lot of things begging for your attention. You’ve got multiple systems in place, and if anything goes wrong, the last thing you need is a storm of notifications coming at you from everywhere. To help you centralize your messaging and incident management, Uptrends continues to add integrations with tools that your team may already use. So, if you use Opsgenie, this new integration is for you.

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.

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.

Higher resolution metrics are critical for monitoring dynamically changing environments and rapidly changing application metrics. Examples where high resolution metrics are critical include high volume e-commerce, live streaming, autoscaling bursty workloads on Kubernetes clusters, and more. Higher resolution custom, Prometheus, and agent metrics are now generally available, and can be written at a granularity of 10 seconds. Previously these metric types could only be written once every 60 seconds.