Nominee: Green Mountain

Transcription

1 Nminee: Green Muntain Nminatin title: Green Peak - Dashbard, analytics and reprting slutin Green Muntain sets the green standard being the mst energy efficient data centre in the market with 100% renewable energy and clse t zer CO2 ftprint. T strengthen this psitin we have develped a DCIM-tl bth t enable ur custmers t ptimize energy efficiency f their use f the data centre and at the same time imprve transparency and autmate internal prcesses; Green Peak ffers custmers access t real time and histrical data abut the data centre envirnment with 100% transparency. Scpe As the factries f the digital age, data centre clcatin custmers need insight t the data centres envirnment and perfrmance t cntinuusly imprve efficient utilizatin f the data centre infrastructure. Thrugh Green Peak, Green Muntain facilitates a cmprehensive analytics suite fr real time lcatin and infrastructure mnitring. The aim has been t give custmers a transparent view f the data centre perfrmance in real time, facilitate analytical capabilities, and at the same time autmate prcesses cnnected t reprting and cst allcatin. Slutin Green Peak builds n standard sftware, pwered by Gurusft and OneC, that integrates with the date centres management system, presenting data t the custmers via a standard web user interface. Dashbard Green Peak Dashbard gives the custmer real time view f the envirnment in the data centre. The custmer can see its data centres measured Pwer Usage Efficiency (PUE), temperature, humidity and O2-level. Analytics

2 Thrugh Green Peak, the custmer gets access t detailed histrical data abut the data centres perfrmance. Data can be viewed as graphical trend data n different timeframes r as tables. With this analytical capability, custmers can analyse perfrmance data abut; Pwer cnsumptin, availability and capacity utilizatin Pwer Usage Efficiency (PUE) CO2 ftprint Envirnment (rm and rack temperature, humidity, O2 level) Reprting Mnthly reprt mdule autmatically creates and presents a SLA-reprt fr the data centre services delivered t the custmer. Custmer gets an verview f last mnth, and histrical, perfrmance data against SLA, making it pssible t create custmized reprts with trends n different perids. The driving frce behind the Green Peak prject and business/technlgy challenge that needed t be addressed: Strengthen ur prfile as the greenest and mst energy efficient datacenter in the market (e.g. enable custmers t data fr energy ptimizing, calculatin f CO2 ftprint) Increase transparency (e.g. real-time view t custmer f state f their DC-envirnment, access t DC-Envirnment data fr trend and capacity analyzes) Autmatin f current manual wrk prcesses (e.g. reprting t custmer, trend and capacity analyzes, pwer cnsumptin invicing) The slutin that addressed the challenges and innvative aspects that made Green Peak stand ut: Analytic capabilities fr custmers f energy cnsumptin dwn t PDU-level fr energy ptimizing Analytic capabilities fr custmers f temperature, cling and ther envirnment data fr energy ptimizing Autmatin and real-time view and at the same time keeping all data secure Calculatin f CO2 ftprint (CO2 accunting) Majr challenges that we faced during the prject and hw they were vercme:

3 Balancing user interface perfrmance with integratin f enugh data t give custmer the needed benefit. Invlving end-custmer in bth functinality and perfrmance testing thrughut the prject. Balancing user functinality with (user) security. Strng cllabratin between slutin develpers and security thrugh the prject. Thrugh testing f perfrmance, functinality and security in parallel. Benefits that Green Muntain has seen as a result f the Green Peak implementatin: Custmer reprting delivered faster and with less manual wrk Custmer has access t peratinal data enabling mre efficient ptimizing f ITequipment setup, energy cnsumptin. Custmer gets calculatin n CO2 ftprint that they can use in their internal CO2 accunting Relevance acrss the wider industry The industry can becme mre transparent t custmers n quality in deliveries The industry can make better arrangements fr custmers t ptimize their IT infrastructure and thereby becme the mst energy efficient The industry can autmate and integrate systems t streamline reprting, billing and analysis and thus becming mre cst effective. What are the Innvatin s key distinguishing features and/r USP? Real time Dynamic n different time frames Cmplete histrical dataset (since custmer start up) Imprve energy efficiency Reprt yur datacenters` carbn ftprint Imprve capacity management and plan fr the future All histrical data and reprts available nline

4 What tangible impact has the Innvatin had n ur cmpany, the market and ur custmers? Imprved energy efficiency Increased custmer satisfactin Reduced custmer PUE (e.g. lwered cst f energy) What are the majr differentiatrs between ur Innvatin and current practices elsewhere? Online Fully autmated API available fr integratin with ther slutins Fully transparent in real-time We d nt knw f any ther that prvides custmer with the same dashbard, analytics/ptimizing and reprting capability fr their DC-envirnment. Why nminee shuld win % transparent in real time n delivery quality 2. Custmized trend data fr Custmer i. Significantly better verview f lng-term trends acrss the entire data centre envirnment 3. Reduced time spent reprting and billing with (net) abut 60 hrs per mnth i. SLA reprts are ready immediately at mnth end ii. Autmated billing data fr apprximately 1.5MW

5 iii. iv. Reprt quality has imprved Lwered custmer PUE (lwered cst f energy) 4. Reduced time spent n establishing a new custmer with (net) apprximately 50 hrs per time 5. Increased custmer satisfactin - We dn`t knw f any ther that prvides custmer with the same dashbard, analytics/ptimizing and reprting capability fr their DC-envirnment