Datasheet FUJITSU Software ServerView Cloud Monitoring Manager V1.1 Datasheet FUJITSU Software ServerView Cloud Monitoring Manager V1.1 A Monitoring Cloud Service for Enterprise OpenStack Systems Cloud Monitoring Manager OpenStack promises to bring the agility, cost efficiency and usability of an infrastructure cloud service (IaaS) into every data center. Therefore, enterprises are rapidly adapting OpenStack, making it an essential layer in their IT landscape. The more central this cloud layer becomes in IT, the more important it becomes to monitor the underlying systems in order to guarantee high service levels. OpenStack is complex and highly distributed. Therefore, achieving high availability, which is typically required from cloud services, is challenging. Gaining deep insight into such complex systems is a long process. Integrations with existing monitoring solutions is expensive and time-consuming. Finally, as OpenStack systems can become large, the huge amount of produced monitoring and log data may lead to severe performance problems in traditional monitoring tools. FUJITSU Software ServerView Cloud Monitoring Manager is an entirely open software solution that provides all the means to collect, store, display, and analyze all the monitoring and logging data of a production OpenStack system. Its extensive testing with selected target distributions (see Section Technical Details) provide a stable, enterprise-ready turn-key monitoring and logging solution, avoiding tedious integration work which is required by traditional monitoring solutions. In addition, its scalable architecture is capable of mastering both medium and large size OpenStack deployments. FUJITSU Software ServerView Cloud Monitoring Manager is based on open source software, using the official big tent OpenStack project Monasca as core technology. This makes it the best solution for enterprise-grade OpenStack monitoring. Page 1 of 5
Features and benefits Main features OpenStack Monitoring Pre-configured to collect all important monitoring data of OpenStack services, middleware and underlying infrastructure of supported distributions (see Section Technical Details) Scalable technologies and high performance data processing Efficient data storage for long-term historic data retention time Alarms and notifications A powerful dashboard for advanced graphical analysis of historic data Log Management Based on Elasticsearch, Logstash and Kibana A state-of-the-art search engine for log data Powerful graphical analysis Scalable for high logging throughput Monitoring-as-a-Service Configurationless VM monitoring for end users Multi-tenancy Application of the OpenStack tenant model Authentication via Keystone Open Source Based on the official OpenStack project Monasca All components are based on open source software Benefits Ensure availability and high service quality of an OpenStack-based cloud service Suitable for large-scale OpenStack deployments Gain deep insights into the system by advanced analysis methods Easily scalable together with the growth of the data center Identify problems early and find the root cause quickly Minimize time-to-fix: avoid down-times and negative customer impact Increase the value proposition of an OpenStack-based cloud offering Drive degree of automation for end users Collaborative team work via OpenStack projects Transparency and control Page 2 of 5
Topic Graphical Analysis An intelligent presentation of real-time and historic data is an effective method to gain deep insight into the status of system. This comprises the recognition of trends or anomalies, which is fundamental in detecting and avoiding errors or a lack of resources. Having detected a (potential) problem, a drill-down analysis using graphic tools is an effective means to rapidly find either the root cause of a problem, or indicators that help to eliminate the problem. FUJITSU Software ServerView Cloud Monitoring Manager features two dashboard technologies for graphical analysis: Grafana for metrics and Kibana for log data. Both dashboards are entirely open source and developed in open community projects. Each dashboard represents the most powerful solution for the two different use cases (metrics and logs). are also distributed over multiple services that may run on a large number of nodes. A common way to tackle this problem is to introduce a centralized log management tool. Besides its metricsbased monitoring functionality, FUJITSU Software ServerView Cloud Monitoring Manager features a logging solution that is based on three base technologies: Elasticsearch, Logstash and Kibana. This combination, also known as ELK Stack, is the probably most commonly used open source solution for centralized log management. It features a state of the art search engine, allowing efficient search queries on the entire collected log records, and a dashboard for powerful graphical representation and analysis (see Section Graphical Analysis). All components are scalable, to master the high data load of a large OpenStack system. In addition to the pure ELK stack, all logging-related data that is exchanged between the involved components is buffered in a high-performance distributed message queue. This further improves the performance and scalability behavior. Open Source Technologies FUJITSU Software ServerView Cloud Monitoring Manager is entirely based on open source software components. Its core technology is Monasca, which has been an official OpenStack project since November 2015. FUJITSU became part of Monasca in January 2015, and has been actively contributing source code since. Here, a highlight is a set of features for log management, described above, which greatly extends the functionality of Monasca. Alarming for Dynamic Cloud Applications Most of the existing monitoring tools were originally written for traditional IT systems. A characteristic of those systems is that they typically run over long periods and big changes happen rarely. The picture is significantly different when looking at modern cloud applications. These applications are often designed in such a way that the underlying (virtual) infrastructure can be changed frequently so as to achieve characteristics, such as elasticity or fault tolerance. FUJITSU Software ServerView Cloud Monitoring Manager has been designed from the start as a monitoring service for cloud native applications. There is thus an alarm template mechanism that is not limited to monitoring a single resource (as is typical in traditional monitoring tools), but can also analyze an elastic set of resources. One example of such an alarm definition could be to trigger an alarm if the average CPU idle time of all machines that host Service X falls below twenty percent. Such a definition mechanism monitors the overall health of the entire infrastructure and is tolerant to downscaling or failing nodes without additional configuration efforts. At the other hand, FUJITSU Software ServerView Cloud Monitoring Manager is equally capable of monitoring single, static infrastructure entities, such as the physical machines that host OpenStack services. Logging in OpenStack A large-scale OpenStack system may produce massive amounts of log data depending on its size and configuration. The sources of log data Page 3 of 5
Technical Details Monitoring Server Hardware FUJITSU Server PRIMERGY RX, BX and TX Notes(Recommended) CPU: Intel Xeon E5-2660 v2, 2.20 GHz or more Memory : 64 GB DIMM (DDR3) or more Installation directory: 2 GB or more Operating System Red Hat Red Hat Enterprise Linux 7.2 (Intel64) Supported OpenStack Distributions Red Hat Red Hat Enterprise Linux OpenStack Platform 8 Operating System Red Hat Red Hat Enterprise Linux 7.2 (Intel64) Preset metrics for OpenStack Check existence of process, HTTP Response for OpenStack services (Nova, Neutron etc.) Check the performance of dependent database (RabbitMQ, MySQL, PostgreSQL etc.) System metrics for virtual/physical servers(cpu, network traffic, memory usage, disk usage), process check etc. Page 4 of 5
More information Fujitsu platform solutions Products www.fujitsu.com/global/products/ In addition to the Fujitsu Software ServerView Cloud Monitoring Manager, Fujitsu offers a full portfolio of other computing products. Computing products www.fujitsu.com/global/services/computing/ PRIMERGY: Industrial standard server SPARC Enterprise: UNIX server PRIMEQUEST: Mission-critical IA server ETERNUS: Storage system Software More information Learn more about Fujitsu, please contact your Fujitsu sales representative, Fujitsu business partner, or visit our website. www.fujitsu.com/global/products/software/i nfrastructure-software/cloud-managementsoftware/cloud-monitoring-manager/ Fujitsu green policy innovation www.fujitsu.com/global/about/environment/ Fujitsu Green Policy Innovation is our worldwide project for reducing burdens on the environment. Using our global know-how, we aim to resolve issues of environmental energy efficiency through IT. Please find further information at: Copyright Copyright 2016 Fujitsu Limited Fujitsu, the Fujitsu logo, Fujitsu brand names are trademarks or registered trademarks of Fujitsu Limited in Japan and other countries. The OpenStack Word Mark and OpenStack Logo are either registered trademarks/service marks or trademarks/service marks of the OpenStack Foundation in the United States and other countries and are used with the OpenStack Foundation's permission. We are not affiliated with, endorsed or sponsored by the OpenStack Foundation, or the OpenStack community. Red Hat is a trademark or a registered trademark of Red Hat Inc. in the United States and other countries. Other company, product and service names may be trademarks or registered trademarks of their respective owners. Disclaimer Technical data subject to modification and delivery subject to availability. Any liability that the data and illustrations are complete, actual or correct is excluded. Designations may be trademarks and/or copyrights of the respective manufacturer, the use of which by third parties for their own purposes may infringe the rights of such owner. [Other disclaimers] Contact FUJITSU Website: www.fujitsu.com 2016-7-11 WW-EN Page 5 of 5