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Prometheus
Prometheus

969
694
+ 1
183
Vector
Vector

6
21
+ 1
0
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Prometheus vs Vector: What are the differences?

Developers describe Prometheus as "An open-source service monitoring system and time series database, developed by SoundCloud". Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true. On the other hand, Vector is detailed as "On-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser, by Netflix". Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

Prometheus belongs to "Monitoring Tools" category of the tech stack, while Vector can be primarily classified under "Performance Monitoring".

Prometheus and Vector are both open source tools. Prometheus with 24.6K GitHub stars and 3.49K forks on GitHub appears to be more popular than Vector with 3.15K GitHub stars and 229 GitHub forks.

What is Prometheus?

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

What is Vector?

Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.
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        What are some alternatives to Prometheus and Vector?
        Grafana
        Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
        New Relic
        New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
        InfluxDB
        InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
        Datadog
        Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
        Splunk
        Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
        See all alternatives
        Decisions about Prometheus and Vector
        Joseph Irving
        Joseph Irving
        DevOps Engineer at uSwitch · | 4 upvotes · 29.4K views
        atuSwitchuSwitch
        Kubernetes
        Kubernetes
        Prometheus
        Prometheus
        Thanos
        Thanos

        We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

        Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

        Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

        If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

        See more
        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 569.9K views
        atUber TechnologiesUber Technologies
        Nagios
        Nagios
        Grafana
        Grafana
        Graphite
        Graphite
        Prometheus
        Prometheus

        Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

        By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

        To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

        https://eng.uber.com/m3/

        (GitHub : https://github.com/m3db/m3)

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        Raja Subramaniam Mahali
        Raja Subramaniam Mahali
        Sysdig
        Sysdig
        Kubernetes
        Kubernetes
        Prometheus
        Prometheus

        We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

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        Interest over time
        Reviews of Prometheus and Vector
        No reviews found
        How developers use Prometheus and Vector
        Avatar of Scrayos UG (haftungsbeschränkt)
        Scrayos UG (haftungsbeschränkt) uses PrometheusPrometheus

        We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.

        Avatar of Tom Staijen
        Tom Staijen uses PrometheusPrometheus

        Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.

        Avatar of HyVive
        HyVive uses PrometheusPrometheus

        We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

        Avatar of Bùi Thanh
        Bùi Thanh uses PrometheusPrometheus
        • Simple operation and easy to deploy.
        Avatar of Roy Olsen
        Roy Olsen uses PrometheusPrometheus

        Predictive monitoring.

        How much does Prometheus cost?
        How much does Vector cost?
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