Datadog’s support of OpenTelemetry—a vendor-agnostic, open source set of APIs and libraries for collecting system and application telemetry data—has helped thousands of organizations implement monitoring strategies that complement their existing workflows. Many of our customers leverage OpenTelemetry for their server- and container-based deployments, but also need visibility into the health and performance of their serverless applications running on AWS Lambda.
During the next two weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!
You have identified a data breach, now what? Your Incident Response Playbook is up to date. You have drilled for this, you know who the key players on your team are and you have their home phone numbers, mobile phone numbers, and email addresses, so you get to work. It is seven o’clock in the evening so you are sure everyone is available and ready to respond, you begin typing “that” email and making phone calls, one at a time.
Monitoring is not easy. Period. In our guide to Kubernetes monitoring we explained how you need a different approach to monitoring Kubernetes than with traditional VMs. In this blog post, we’ll go into more detail about the key Kubernetes metrics you have access to and how to make sense of them. Kubernetes is the most popular container orchestrator currently available. It’s available as a service across all major cloud providers. Kubernetes is now a household name.
If you’re interested in cloud computing, AWS certifications are one of the most rewarding paths to a dynamic career. As a worldwide leader in cloud infrastructure service, Amazon prepares certified experts who are highly sought after by IT organizations around the world. Did you know that 94% of organizations use a cloud service and 30% of their IT budgets are allocated to cloud computing?
In this article, you will learn how to monitor SQL Server with Prometheus. SQL Server is a popular database, which is very straightforward to monitor with a simple Prometheus exporter. Like all databases, SQL Server has many points of failure, such as delays in transactions or too many connections in the database. We are basing this guide on Golden Signals, a reduced set of metrics that offer a wide view of a service from a user or consumer perspective.
We built Grafana Enterprise Metrics (GEM) to empower centralized observability teams to provide a multi-tenanted, horizontally scalable Prometheus-as-a-Service experience for their end users. The GEM plugin for Grafana is a key piece of realizing this vision. It provides a point-and-click way for teams operating GEM to understand the state of their cluster and manage settings for each of the tenants within it.
