Search Results for "x-mind"

Seesaw is a software load balancer and traffic director focused on L3/L4 load balancing with high availability and operational simplicity. Built with production reliability in mind, it uses anycast and health-checking to steer traffic to healthy backends while avoiding single points of failure. It supports common load-balancing policies, NAT, and VIP management, and pairs with standard Linux networking primitives for predictable performance. A controller/worker architecture separates configuration and dataplane concerns, enabling safe rollouts and fast failover. ...

Elastic APM is an application performance monitoring system built on the Elastic Stack. It allows you to monitor software services and applications in real-time, by collecting detailed performance information on response time for incoming requests, database queries, calls to caches, external HTTP requests, and more. This makes it easy to pinpoint and fix performance problems quickly. Elastic APM also automatically collects unhandled errors and exceptions. Errors are grouped based primarily...

Serf is a decentralized solution for service discovery and orchestration that is lightweight, highly available, and fault tolerant. Serf runs on Linux, Mac OS X, and Windows. An efficient and lightweight gossip protocol is used to communicate with other nodes. Serf can detect node failures and notify the rest of the cluster. An event system is built on top of Serf, letting you use Serf's gossip protocol to propagate events such as deploys, configuration changes, etc. Serf is completely masterless with no single point of failure. ...

Automatically set GOMAXPROCS to match Linux container CPU quota. All APIs are finalized, and no breaking changes will be made in the 1.x series of releases. Users of semver-aware dependency management systems should pin automaxprocs to ^1. When GOMAXPROCS is increased above the CPU quota, we see P50 decrease slightly but see significant increases to P99. We also see that the total RPS handled also decreases. Data was measured from Uber's internal load balancer. We ran the load balancer with 200% CPU quota (i.e., 2 cores).

This is a small and simple application that runs as a Windows service to record metrics several times per second. Metrics can be very different. For example, memory usage by a process or ping to a host. The application does not require a DBMS. The data is stored in an open binary format. Data viewing is possible in the form of graphs of the history of changes and in tables of current values. The configuration setting is done without editing the config files - everything is available directly...