Search Results for "cloud system"

...Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. No more OOM errors! Integration with all your technology, cloud-native services, containers, streaming processors, and data backends. Fully event-driven design leverages the operating system API for performance and reliability. All operations to collect and deliver data are asynchronous.

Parseable is a log analytics platform, built for the modern, cloud native era. Parseable uses a index-free mechanism to organize and query data allowing low latency, and high throughput ingestion and query.

Beats is a platform of lightweight, single-use data shippers written in Go. It captures all sorts of operational data from hundreds or thousands of machines and systems and sends them to Logstash or Elasticsearch. Beats is lightweight in that it has a small installation footprint, uses limited system resources and has no runtime dependencies. It consists of: Auditbeat (for audit data), Filebeat (for log files), Functionbeat (serverless shipper), Heartbeat (for uptime monitoring),...

Flogger is a structured logging API for Java that decouples how you log from where logs ultimately go, making it easy to change backends without rewriting application code. Instead of building messages eagerly, it uses lazy parameter evaluation so expensive string building only happens when a log statement is actually emitted. The API encourages structured key–value context and fine-grained rate limiting, which helps keep logs informative without flooding systems during high-traffic or error...

Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.

MonPaaS is a monitoring service for OpenStack based on Nagios. MonPaaS enables a distributed monitoring platform for both cloud provider and cloud consumers.