Operations | Monitoring | ITSM | DevOps | Cloud

Dashboard Fridays: Sample Google Kubernetes Engine Dashboard

This SquaredUp dashboard shows key metrics from any GKE (Google Kubernetes Engine) clusters and node groups, including utilization of resources and health status. Tune in to learn how it was made, the challenges it solves, and our top tips for building it yourself.

Dashboard Fridays: Sample Grafana Dashboard

This SquaredUp Grafana dashboard surfaces status information from Grafana, giving you a big picture overview across teams and apps – all while allowing you to utilize your existing dashboards and alert rules. Tune in to learn how it was made, the challenges it solves, and our top tips for building it yourself.

Dashboard Fridays: Sample Google Compute Engine Dashboard

This Google Compute Engine dashboard shows key metrics about any GCE instances, managed instance groups, and related resources such as GCE disks. These metrics include utilization of resources and health status. Tune in to learn how it was made, the challenges it solves, and our top tips for building it yourself.

Dashboard Fridays: Sample Azure Application Insights Dashboard

This SquaredUp dashboard uses the Azure plugin to surface key performance metrics from Application Insights. Common user experience metrics are all provided out of the box, and we can query, summarize, and analyse the raw logs and traces. Tune in to learn how it was made, the challenges it solves, and our top tips for building it yourself.

How to set up Heartbeat Alerts within Sematext

Monitoring is an essential part of any IT infrastructure, as it allows you to keep track of the performance and health of your systems. However, simply monitoring your systems is not enough - you need to be alerted when something goes wrong so that you can take action to fix the issue. With Sematext, we automatically set up heartbeat alerts for many of our integrations. However, you can always customize your alerts to suit your needs. You can choose to receive these alerts via email, SMS, or even through a chat tool like Slack.

4 Common Obstacles To Managing Microsoft Azure Costs (And How To Overcome Them)

Microsoft Azure was a relative latecomer to the public cloud market: AWS preempted everyone in 2006, and Google GCP came next, in 2008. By the time Azure launched in 2010, the public cloud market had already grown to more than $24 billion. Despite being third to the party, Azure had a key advantage: The Microsoft Office Suite was (and is) a go-to choice for corporate collaboration.

Optimizing the AWS CloudWatch Log Process

Amazon’s native monitoring and management service AWS CloudWatch is great for basic monitoring and alerts. However, on its own, it may not be the best solution for analyzing log data at scale — especially if you need to analyze data outside of AWS. Many teams may find themselves restricted by retention issues and basic analytic features with Amazon CloudWatch logs for troubleshooting use cases.

Introducing Outlier Detection in Grafana Machine Learning for Grafana Cloud

Outlier Detection is now available as part of the Grafana Machine Learning toolkit in Grafana Cloud for Pro and Advanced users. With this feature, you can monitor a group of similar things, such as load-balanced pods in Kubernetes, and get alerted when some of them start behaving differently than their peers. There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down.