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Logtail review
Logtail review




logtail review

Their occupation of shallow waters and a lack of diel vertical migrations differ markedly to the habits of oceanodromous Thunnus species.

logtail review

All fish moved north for distances of up to 654 km, with three fish moving to a known spawning area where their vertical movement behaviour changed abruptly.

logtail review

Fish primarily utilised coastal waters of 0–25 m (maximum 90 m) and water temperatures of 23–28 ☌ (17.1–28.5 ☌). Nine longtail tuna were tracked for 2–115 days with pop-up satellite archival tags off eastern Australia (27.5°S 153.4☎ to 27.5°S 153.4☎) to better understand their movements, habitat specificity, and post-capture mortality. The global catch of longtail tuna (Thunnus tonggol) has almost tripled over the past two decades, with recent stock assessments suggesting overexploited stocks. This paper provides a global review of biological, ecological and fishery information to provide researchers, fishery managers and policy makers with the most current information from which to begin to guide future stock assessment and the development of CMMs for longtail tuna. Few conservation and management measures (CMMs) are currently in place specifically for longtail tuna, although in recent years some coastal States, Regional Fishery Bodies, and tuna Regional Fisheries Management Organisations have begun to develop initiatives to improve the catch and biological data quality for longtail tuna and sympatric species of neritic tunas and tuna-like species. As the spawning biomass of principal tuna target species continue to decline in both the Indian and western and central Pacific Oceans, the increasing catches of longtail tuna, other neritic tunas, and seerfishes is worrisome. A sequence of stock assessments undertaken throughout the species’ range since the late 1980s persistently indicated that at least three of the four stocks defined in this paper are likely to have been, and most likely are currently, subject to overfishing and overfished as a result of excess fishing effort on this relatively slow-growing and long-lived tuna species. Catches of longtail tuna in the Indian Ocean now exceed catches of principal commercial target species, such as albacore and bigeye tunas. Historically receiving little attention by commercial fisheries, the global annual catch of longtail tuna has steadily risen from around 30,000 t in the early 1980s to exceeding 200,000 t since 2004, reaching a peak of 291,264 t in 2007, and was 281,613 t in 2017. If you aim to build iLogtail from sources, you can go ahead and start with the following commands.Longtail tuna (Thunnus tonggol) is a neritic species that supports commercial, artisanal and recreational fisheries throughout the Indo-Pacific region. Dynamic collect Stdout when running with containerized environmentįor the complexity of C++ dependencies, the compilation of iLogtail requires you have docker installed.Dynamic collect the files when running with containerized environment.The data supported for collection are mainly as follows: ILogtail supports the collection of a variety of telemetry data and transmission to a variety of different backends, such as SLS observable platform.

logtail review

  • Supports multiple advanced features such as self-monitoring, flow control, resource control, alarms, and statistics collection.
  • Support configuration remote management and provide a variety of ways, such as SLS console, SDK, K8s Operator, etc.
  • Support plugin expansion, such as collection, processing, aggregation, and sending modules.
  • High stability, used in the production of Alibaba and tens of thousands of Alibaba Cloud customers, and collecting dozens of petabytes of observable data every day with nearly tens of millions deployments.
  • The resource cost of data collection is quite low, 5-20 times better than similar telemetry data collection Agent performance.
  • Support a variety of Logs, Traces, Metrics data collection, and friendly to container and Kubernetes environment support.
  • You can deploy it in physical machines, Kubernetes and other environments to collect telemetry data, such as logs, traces and metrics. ILogtail was born for observable scenarios and has many production-level features such as lightweight, high performance, and automated configuration, which are widely used internally by Alibaba Group and tens of thousands of external Alibaba Cloud customers. Alibaba iLogtail - Fast and Lightweight Observability Data Collector | 中文用户手册






    Logtail review