Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.
When it comes to managing services effectively, terms like SLA, SLO, and SLI are often thrown around like confetti at a parade. They’re in meetings, in documents, and even in casual office conversations. But if you’re new to the field or simply haven’t had the chance to dig into these acronyms, they can feel like a bewildering alphabet soup. And they can’t be missing on an uptime monitoring blog such as ours! So, what do these terms really mean?
Grafana is a visualization tool that allows you to see and analyze all of your metrics in one unified dashboard. Grafana can pull metrics from any source, display that data, and then enable you to annotate and understand the data directly in the dashboard. Grafana dashboards are designed to allow you to visualize information in a ton of ways, from histograms and heatmaps to world maps. Grafana also has an alerting feature that can communicate with you through Slack, PagerDuty, and more.
In the ever-evolving landscape of network security, the challenges faced by Managed Service Providers (MSPs) and technical managers are multifaceted, and the need for robust security measures becomes paramount. Amidst this backdrop, network segmentation remains a pivotal strategy. This article delves into the intricacies of network segmentation, its significance, and a roadmap to its successful implementation.