Search Results for "query"

...Pixie collects, stores and queries all telemetry data locally in the cluster. Pixie uses less than 5% of cluster CPU and in most cases less than 2%. PxL, Pixie’s flexible Pythonic query language, can be used across Pixie’s UI, CLI, and client APIs.

...Argo Rollouts (optionally) integrates with ingress controllers and service meshes, leveraging their traffic shaping abilities to gradually shift traffic to the new version during an update. Additionally, Rollouts can query and interpret metrics from various providers to verify key KPIs and drive automated promotion or rollback during an update.

M3 is a Prometheus-compatible, easy-to-adopt metrics engine that provides visibility for some of the world’s largest brands. M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus-based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility. M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices, and infrastructure. With its ability to horizontally scale...

Yet Another .NET Clean Architecture, but for a Microservices project. It uses Minimal Clean Architecture with DDD-lite, CQRS-lite, and just enough Cloud-native patterns applied on the simple eCommerce sample and run on Tye with Dapr extension.

Ready to use log management solution for Kubernetes storing data in ClickHouse and providing web UI. Ready to use log management solution for Kubernetes. Efficiently store big amounts of your logs (in ClickHouse database), process them using a simple query language and monitor them online through web UI. Easy and quick to deploy in an already functioning Kubernetes cluster. The status is alpha. However, we (Flant) use it in our production Kubernetes deployments since September 2017. Data structure might change during alpha releases, so please be careful when updating (all relevant information is published in corresponding release notes). ...

...You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Supply an HTTP endpoint to receive notifications, for example to integrate with an external load balancer. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus.