New Show Hacker News story: Show HN: Gyeeta – An Open Source and Free Observability Tool
Show HN: Gyeeta – An Open Source and Free Observability Tool
2 by krishvhn | 0 comments on Hacker News.
Hello Everyone, We are excited to announce the public release of Gyeeta - https://gyeeta.io Gyeeta is a free, eBPF based Open Source (GPLv3) Observability tool which provides the following capabilities : - Service Level Statistics such as Queries/sec (Requests/sec), Response Times (Latency) and HTTP Errors (if HTTP based) with no manual inputs or integrations. Monitors binary / proprietary network protocol or non HTTP Service statistics as well. - Service Maps, Process and Host level Network Flows with info on all Services and Processes. - Detection of Host and Process Level CPU starvation, Virtual Memory or IO Bottlenecks. - Monitor all applications without any instrumentation or tapping irrespective of the programming language used. - Self Learning Algorithms that can detect Anomalies, Contention or Degradation without any manual inputs. - Advanced Cluster, Service or Process Level Alerts using a powerful Web UI or REST APIs. - All Data In-House (On Prem). Not a SaaS tool. - All Linux Kernels released since 2016 supported (Linux Kernels v4.4.x or higher). Gyeeta is optimized (C++ based) for minimal CPU and Memory requirements. Website : https://gyeeta.io Github link https://ift.tt/csHUqm6
2 by krishvhn | 0 comments on Hacker News.
Hello Everyone, We are excited to announce the public release of Gyeeta - https://gyeeta.io Gyeeta is a free, eBPF based Open Source (GPLv3) Observability tool which provides the following capabilities : - Service Level Statistics such as Queries/sec (Requests/sec), Response Times (Latency) and HTTP Errors (if HTTP based) with no manual inputs or integrations. Monitors binary / proprietary network protocol or non HTTP Service statistics as well. - Service Maps, Process and Host level Network Flows with info on all Services and Processes. - Detection of Host and Process Level CPU starvation, Virtual Memory or IO Bottlenecks. - Monitor all applications without any instrumentation or tapping irrespective of the programming language used. - Self Learning Algorithms that can detect Anomalies, Contention or Degradation without any manual inputs. - Advanced Cluster, Service or Process Level Alerts using a powerful Web UI or REST APIs. - All Data In-House (On Prem). Not a SaaS tool. - All Linux Kernels released since 2016 supported (Linux Kernels v4.4.x or higher). Gyeeta is optimized (C++ based) for minimal CPU and Memory requirements. Website : https://gyeeta.io Github link https://ift.tt/csHUqm6
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