套件：victoria-metrics（1.79.14+ds1-2 以及其他的）

[ 原始碼： victoriametrics  ]

fast, cost-effective and scalable time series database

VictoriaMetrics is a fast, cost-effective and scalable time-series database. It can be used as long-term remote storage for Prometheus.

Prominent features:

 * Supports Prometheus querying API, so it can be used as Prometheus
   drop-in replacement in Grafana. VictoriaMetrics implements MetricsQL
   query language, which is inspired by PromQL.
 * Supports global query view. Multiple Prometheus instances may write
   data into VictoriaMetrics. Later this data may be used in a single query.
 * High performance and good scalability for both inserts and selects.
   Outperforms InfluxDB and TimescaleDB by up to 20x.
 * Uses 10x less RAM than InfluxDB when working with millions of unique time
   series (aka high cardinality).
 * Optimized for time series with high churn rate. Think about
   prometheus-operator metrics from frequent deployments in Kubernetes.
 * High data compression, so up to 70x more data points may be crammed into
   limited storage comparing to TimescaleDB.
 * Optimized for storage with high-latency IO and low IOPS (HDD and network
   storage in AWS, Google Cloud, Microsoft Azure, etc).
 * A single-node VictoriaMetrics may substitute moderately sized clusters
   built with competing solutions such as Thanos, M3DB, Cortex, InfluxDB or
   TimescaleDB.
 * Easy operation:
   - VictoriaMetrics consists of a single small executable without external
     dependencies.
   - All the configuration is done via explicit command-line flags with
     reasonable defaults.
   - All the data is stored in a single directory pointed by
     -storageDataPath flag.
   - Easy and fast backups from instant snapshots to S3 or GCS with
     vmbackup / vmrestore.
   - Data migration between VictoriaMetrics, Prometheus and InfluxDB with
     vmctl.
 * Storage is protectedfrom corruption on unclean shutdown (i.e. OOM,
   hardware reset or kill -9) thanks to the storage architecture.
 * Supports metrics' scraping, ingestion and backfilling (#backfilling)
   via the following protocols:
   - Metrics from Prometheus exporters such as node_exporter.
   - Prometheus remote write API
   - InfluxDB line protocol
   - Graphite plaintext protocol with tags if -graphiteListenAddr is set.
   - OpenTSDB put message if -opentsdbListenAddr is set.
   - HTTP OpenTSDB /api/put requests if -opentsdbHTTPListenAddr is set.
   - /api/v1/import.
 * Ideally works with big amounts of time series data from Kubernetes, IoT
   sensors, connected cars, industrial telemetry, financial data and
   various Enterprise workloads.
 * Has open source cluster version.

其他與 victoria-metrics 有關的套件

• dep: init-system-helpers (>= 1.54~)

  helper tools for all init systems

• dep: adduser

  add and remove users and groups

• dep: libc6 (>= 2.29) [sparc64]

  GNU C 函式庫：共用函式庫
  同時作為一個虛擬套件由這些套件填實： libc6-udeb

  dep: libc6 (>= 2.32) [ppc64]

  dep: libc6 (>= 2.34) [除 ppc64, sparc64]

• dep: libgcc-s1 (>= 3.4) [ppc64, sparc64]

  GCC 支援函式庫

• dep: libgo21 [ppc64, sparc64]

  Runtime library for GNU Go applications

• dep: libzstd1 (>= 1.5.2) [ppc64, sparc64]

  fast lossless compression algorithm

  dep: libzstd1 (>= 1.5.5) [除 ppc64, sparc64]

下載 victoria-metrics

下載可用於所有硬體架構的

硬體架構	版本	套件大小	安裝後大小	檔案
amd64	1.79.14+ds1-2	24，254。3 kB	94，553。0 kB	[檔案列表]
arm64	1.79.14+ds1-2	20，578。4 kB	91，279。0 kB	[檔案列表]
armel	1.79.14+ds1-2	20，406。3 kB	91，185。0 kB	[檔案列表]
armhf	1.79.14+ds1-2	20，320。2 kB	90，789。0 kB	[檔案列表]
i386	1.79.14+ds1-2	21，723。7 kB	90，655。0 kB	[檔案列表]
mips64el	1.79.14+ds1-2	18，934。6 kB	102，867。0 kB	[檔案列表]
ppc64 （非官方移植版）	1.75.0+ds1-1	11，837。8 kB	83，408。0 kB	[檔案列表]
ppc64el	1.79.14+ds1-2	20，419。9 kB	93，831。0 kB	[檔案列表]
riscv64	1.79.14+ds1-2	20，609。1 kB	90，226。0 kB	[檔案列表]
s390x	1.79.14+ds1-2	22，182。1 kB	99，476。0 kB	[檔案列表]
sparc64 （非官方移植版）	1.75.0+ds1-1	12，035。6 kB	105，573。0 kB	[檔案列表]