background preloader



Centreon - Open Source Network, Systems and Application monitoring solution Enomaly: Elastic / Cloud Computing Platform: Community etsy/statsd The OpenNMS Project RabbitMQ - Messaging that just works Monitoring at Spotify: The Story So Far | Labs This is the first in a two-part series about Monitoring at Spotify. In this, I’ll be discussing our history, the challenges we faced, and how they were approached. Operational monitoring at Spotify started its life as a combination of two systems. Zabbix and a homegrown RRD-backed graphing system named “sitemon”, which used Munin for collection. Zabbix was owned by our SRE team, while sitemon was run by our backend infrastructure team. Back then, We were small enough that solving things yourself was commonplace. In late 2013, we were starting to put more emphasis on self service and distributed operational responsibility. We tried to bandage up what we could: our Chief Architect hacked together an in-memory sitemon replacement that could hold roughly one month worth of metrics under the current load. Alerting as a service Alerting was the first problem we took a stab at. We considered developing Zabbix further. We built a library on top of Riemann called Lyceum. Graphing Data Hierarchies

RRDtool - About RRDtool What RRDtool does RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data. RRDtool can be easily integrated in shell scripts, perl, python, ruby, lua or tcl applications. News For the lastest news regarding RRDtool, check the Announcements Mailinglist Archive. Download RRDtool is available for download from this site. Sponsorship and Appreciators You like RRDtool?

Cloud computing Cloud computing metaphor: For a user, the network elements representing the provider-rendered services are invisible, as if obscured by a cloud. Cloud computing is a computing term or metaphor that evolved in the late 1990s, based on utility and consumption of computer resources. Cloud computing involves application systems which are executed within the cloud and operated through internet enabled devices. Purely cloud computing does not rely on the use of cloud storage as it will be removed upon users download action. Overview[edit] Cloud computing[3] relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network.[2] At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. History of cloud computing[edit] Origin of the term[edit]

Monitoring at Spotify: Introducing Heroic | Labs This is the second part in a series about Monitoring at Spotify. In the previous post I discussed our history of operational monitoring. In this part I’ll be presenting Heroic, our scalable time series database which is now free software. Heroic is our in-house time series database. We built it to address the challenges we were facing with near real-time data collection and presentation at scale. At the core are two key pieces of technology are Cassandra, and Elasticsearch. We are aware Elasticsearch has a bad reputation for data safety, so we guard against total failures by having the ability to completely rebuild the index rapidly from our data pipeline or Cassandra. A key feature of Heroic is global federation. Every host in our infrastructure is running ffwd, which is an agent responsible for receiving and forwarding metrics. This setup allows us to rapidly experiment with our service topology. In the backend everything is stored exactly as it was provided to the agent. CEO Sheng Liang Discusses Open-Source Cloud Computing & Asia CEO Sheng Liang was the lead developer on Sun Microsystems' original Java Virtual Machine (JVM) team. Today he is a co-founder and CEO of, based in Cupertino, CA. The company delivers an open-source platform for both Public and Private Clouds, and will be discussing all this at the upcoming Cloud Expo In New York June 6-9. also has a significant focus on Asia. Here are a few things we discussed in a recent interview... 1. We believe datacenter operators will build Cloud infrastructure using best-of-breed open source software. Beyond the infrastructure control layer additionally develops proprietary software products that enable our customers to run successful Cloud Computing businesses. 2. The Java Virtual Machine (JVM) experience showed me how a new computing paradigm can be developed and can be accepted by the mainstream IT. 3. customers are datacenter operators. 4. 5. 6.