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Diamond
Diamond

4
9
+ 1
2
Graphite
Graphite

286
222
+ 1
39
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Diamond vs Graphite: What are the differences?

Developers describe Diamond as "Full-stack web-framework in D *". Diamond is a powerful MVC / Template Framework written in the D Programming Language. Diamond can be used to write powerful websites, webapis or as stand-alone as a template parser. On the other hand, *Graphite** is detailed as "A highly scalable real-time graphing system". Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand.

Diamond and Graphite are primarily classified as "Frameworks (Full Stack)" and "Monitoring" tools respectively.

Diamond and Graphite are both open source tools. Graphite with 4.59K GitHub stars and 1.2K forks on GitHub appears to be more popular than Diamond with 162 GitHub stars and 9 GitHub forks.

What is Diamond?

Diamond is a powerful MVC / Template Framework written in the D Programming Language. Diamond can be used to write powerful websites, webapis or as stand-alone as a template parser.

What is Graphite?

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
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Why do developers choose Diamond?
Why do developers choose Graphite?

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        What are some alternatives to Diamond and Graphite?
        Crystal
        Crystal is a programming language that resembles Ruby but compiles to native code and tries to be much more efficient, at the cost of disallowing certain dynamic aspects of Ruby.
        Node.js
        Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
        ASP.NET
        .NET is a developer platform made up of tools, programming languages, and libraries for building many different types of applications.
        Rails
        Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.
        Django
        Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
        See all alternatives
        Decisions about Diamond and Graphite
        StackShare Editors
        StackShare Editors
        Kibana
        Kibana
        Grafana
        Grafana
        Elasticsearch
        Elasticsearch
        Logstash
        Logstash
        Graphite
        Graphite
        Icinga
        Icinga

        One size definitely doesn鈥檛 fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O鈥橰eilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company鈥檚 use cases.

        At the time, Slack used a few well-known monitoring tools since it鈥檚 Technical Operations team wasn鈥檛 large enough to build an in-house solution for all of these. Nor did the team think it鈥檚 sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack鈥檚 needs.

        On the backend, they experimented with multiple clusters in both Graphite and ELK, distributed Icinga nodes, and more. At the same time, they鈥檝e tried to build usability into Grafana that reflects the team鈥檚 mental models of the system and have found ways to make alerts from Icinga more insightful and actionable.

        See more
        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber | 10 upvotes 672.4K views
        atUber TechnologiesUber Technologies
        Prometheus
        Prometheus
        Graphite
        Graphite
        Grafana
        Grafana
        Nagios
        Nagios

        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鈥檚 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鈥檚 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)

        See more
        Sentry
        Sentry
        StatsD
        StatsD
        Graphite
        Graphite
        Grafana
        Grafana
        PagerDuty
        PagerDuty
        Amazon CloudWatch
        Amazon CloudWatch

        A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we鈥檙e looking to migrate all of these to our internal monitoring system soon).

        See more
        Interest over time
        Reviews of Diamond and Graphite
        Review ofDiamondDiamond

        Diamond is a great framework and I just started using it for some personal projects and so far I'm impressed with its flexibility and easy learning curve

        Review ofDiamondDiamond

        Diamond is a great framework and I just started using it for some personal projects and so far im impressed with its flexibility and easy learning curve

        How developers use Diamond and Graphite
        Avatar of Onezino Gabriel
        Onezino Gabriel uses GraphiteGraphite

        Utilizando computa莽茫o em nuvens e o modelo de pagar pelo uso com _graphite _n贸s conseguimos analisar todos os logs de informa莽茫o gerada pelo sistema.

        Avatar of Tongliang Liu
        Tongliang Liu uses GraphiteGraphite

        Great metrics visualization tool together with StatsD.

        How much does Diamond cost?
        How much does Graphite cost?
        Pricing unavailable
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