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  • SQL Azure Pricing

    - by kaleidoscope
    Microsoft’s pricing for SQL Server in the cloud, SQLAzure has been announced: $9.99   per month for 0 – 1GB $99.99 per month up to 10GB. There’s currently a 10GB maximum size cap for SQLAzure. For larger data storage needs, you’ll need to break the databases into smaller sizes. Scaling SQL Azure Applications If you think you’re going to need 100GB in the near term, it probably makes sense to break your application up into multiple separate databases from the get-go (10 x $9.99 = $99.99 anyway) and just make really sure none of the individual databases exceed 10GB. Beep Beep, Back That Database Up The bandwidth costs for SQL Azure are $.15 per GB of outbound bandwidth.  Assuming that you don’t compress the data before you pull it out of the cloud, that means daily backups of a 1GB database will add another $4.50 per month, and a 10GB database will add another $45/month.  Daily backups will cost about half of what your monthly service charges cost. It’s not completely clear from the press release, but if Microsoft follows Amazon’s pricing model, bandwidth between the Microsoft cloud services will not incur a cost.  That would mean it might make sense to spin up an Windows Azure computing application for $.12 per hour, use that application to compress your SQL Azure database, and then send the compressed data off to Azure storage for backup.  That would eliminate the data in/out costs, and minimize the Azure storage costs ($.15/GB).  Database administrators would back up their SQL Azure data to Azure Storage, keep a history of backups there, and restore them to SQL Azure faster when needed. Of course, there’s no native backup support in SQL Azure, and it’s not clear whether Windows Azure will include tools like SQL Server Integration Services. More details can be found at http://www.brentozar.com/archive/2009/07/sql-azure-pricing-10-for-1gb-100-for-10gb/   Anish, S

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  • HP ProLiant DL980-Oracle TPC-C Benchmark spat

    - by jchang
    The Register reported a spat between HP and Oracle on the TPC-C benchmark. Per above, HP submitted a TPC-C result of 3,388,535 tpm-C for their ProLiant DL980 G7 (8 Xeon X7560 processors), with a cost of $0.63 per tpm-C. Oracle has refused permission to publish. Late last year (2010) Oracle published a result of 30M tpm-C for a 108 processors (sockets) SPARC cluster ($30M complete system cost). Oracle is now comparing this to the HP Superdome result from 2007 of 4M tpm-C at $2.93 per tpm-C, calling...(read more)

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  • Microsoft Cuts Windows Azure Compute and Storage Pricing

    The savings begin with Microsoft's Windows Azure Storage Pay-As-You-Go service, which now costs $0.125 per GB as opposed to $0.14 per GB, a savings of 12 percent. Microsoft also slashed the pricing for Windows Azure Storage's 6 Month Plans as much as 14 percent across all tiers. Lastly, compute customers can now enjoy Windows Azure Extra Small Compute pricing of $0.02 per hour instead of $0.04 per hour, a savings of 50 percent. To exhibit the cost advantages offered by Windows Azure, Microsoft noted in a blog post that a 24x7 Extra Small Compute instance with a 100MB SQL Azure database can b...

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  • Oracle Developer Days 2013

    - by Anne Manke
    Die Oracle Datenbank in der Praxis Was steckt in den Editionen? Einsatzgebiete, Tipps und Tricks zum Mitnehmen, inkl. Ausblick auf neue Funktionen Die Einsatzgebiete für die Oracle Datenbank sind vielfältig, und so bietet Oracle seine marktführende Datenbank in unterschiedlichen Editionen an. Über 30 Jahre Erfahrung in der Weiterentwicklung haben zu einer Fülle von nützlichen Features geführt, welche in den verschiedenen Ausführungen sinnvoll aufgeteilt sind. Ein Ausblick auf die Funktionen der für 2013 geplanten neuen Datenbank-Version rundet den Workshop ab. In dieser speziell von der BU DB zusammengestellten Veranstaltung werden wir Sie neben vielen Tipps und Tricks zu folgenden Themen auf den neuesten Stand bringen: Die Unterschiede der Editionen und ihre Geheimnisse Umfangreiche Basisausstattung auch ohne Option Performance und Skalierbarkeit in den einzelnen Editionen Kosten- und Ressourceneinsparung leicht gemacht Sicherheit in der Datenbank Steigerung der Verfügbarkeit mit einfachen Mitteln Der Umgang mit großen Datenmengen Cloud Technologien in der Oracle Datenbank Termine 23.01.2013: Oracle Niederlassung Stuttgart Liebknechtstr. 35 D-70565 Stuttgart [Anmeldung per Email] 30.01.2013: Oracle Niederlassung Potsdam Schiffbauergasse 14 D-14467 Potsdam [Anmeldung per Email] 05.02.2013: Oracle Niederlassung Düsseldorf Hamborner Str. 51 D-40472 Düsseldorf [Anmeldung per Email] Anmeldung Melden Sie sich noch heute zur Veranstaltung an - die Teilnahme ist kostenlos! Per Mail an Barbara Frank, ORACLE Deutschland B.V. & Co KG Per Telefon: +49 (0)711 72840-211 Agenda 10:00 Beginn der Veranstaltung Die Oracle Datenbank in ihren Editionen im Überblick OracleXE, SE1, SE, EE: Wer braucht was? Was sind die Unterschiede ...? Die Standard Edition - Eine umfangreiche Grundausstattung SQL und PL/SQL: Mehr als SELECT, Application Express, Oracle TEXT und mehr ... Mittagspause Mehr Performance: Die Sportausstattung in der Enterprise Edition Performante Statementausführung, Garantierte Ressourcenverwendung, Speicherplatz sparen ... Mehr Sicherheit: Die Sicherheitsausstattung in der Enterprise Edition Mandantenfähigkeit out-of-the-box, Audit-Möglichkeiten Mehr Verfügbarkeit: Die Mobilitätsausstattung in der Enterprise Edition Flashback Database, Möglichkeiten mit Data Guard, ... 17:00: Ende der Veranstaltung Wir freuen uns auf Sie!

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  • T4 Performance Counters explained

    - by user13346607
    Now that T4 is out for a few month some people might have wondered what details of the new pipeline you can monitor. A "cpustat -h" lists a lot of events that can be monitored, and only very few are self-explanatory. I will try to give some insight on all of them, some of these "PIC events" require an in-depth knowledge of T4 pipeline. Over time I will try to explain these, for the time being these events should simply be ignored. (Side note: some counters changed from tape-out 1.1 (*only* used in the T4 beta program) to tape-out 1.2 (used in the systems shipping today) The table only lists the tape-out 1.2 counters) 0 0 1 1058 6033 Oracle Microelectronics 50 14 7077 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} pic name (cpustat) Prose Comment Sel-pipe-drain-cycles, Sel-0-[wait|ready], Sel-[1,2] Sel-0-wait counts cycles a strand waits to be selected. Some reasons can be counted in detail; these are: Sel-0-ready: Cycles a strand was ready but not selected, that can signal pipeline oversubscription Sel-1: Cycles only one instruction or µop was selected Sel-2: Cycles two instructions or µops were selected Sel-pipe-drain-cycles: cf. PRM footnote 8 to table 10.2 Pick-any, Pick-[0|1|2|3] Cycles one, two, three, no or at least one instruction or µop is picked Instr_FGU_crypto Number of FGU or crypto instructions executed on that vcpu Instr_ld dto. for load Instr_st dto. for store SPR_ring_ops dto. for SPR ring ops Instr_other dto. for all other instructions not listed above, PRM footnote 7 to table 10.2 lists the instructions Instr_all total number of instructions executed on that vcpu Sw_count_intr Nr of S/W count instructions on that vcpu (sethi %hi(fc000),%g0 (whatever that is))  Atomics nr of atomic ops, which are LDSTUB/a, CASA/XA, and SWAP/A SW_prefetch Nr of PREFETCH or PREFETCHA instructions Block_ld_st Block loads or store on that vcpu IC_miss_nospec, IC_miss_[L2_or_L3|local|remote]\ _hit_nospec Various I$ misses, distinguished by where they hit. All of these count per thread, but only primary events: T4 counts only the first occurence of an I$ miss on a core for a certain instruction. If one strand misses in I$ this miss is counted, but if a second strand on the same core misses while the first miss is being resolved, that second miss is not counted This flavour of I$ misses counts only misses that are caused by instruction that really commit (note the "_nospec") BTC_miss Branch target cache miss ITLB_miss ITLB misses (synchronously counted) ITLB_miss_asynch dto. but asynchronously [I|D]TLB_fill_\ [8KB|64KB|4MB|256MB|2GB|trap] H/W tablewalk events that fill ITLB or DTLB with translation for the corresponding page size. The “_trap” event occurs if the HWTW was not able to fill the corresponding TLB IC_mtag_miss, IC_mtag_miss_\ [ptag_hit|ptag_miss|\ ptag_hit_way_mismatch] I$ micro tag misses, with some options for drill down Fetch-0, Fetch-0-all fetch-0 counts nr of cycles nothing was fetched for this particular strand, fetch-0-all counts cycles nothing was fetched for all strands on a core Instr_buffer_full Cycles the instruction buffer for a strand was full, thereby preventing any fetch BTC_targ_incorrect Counts all occurences of wrongly predicted branch targets from the BTC [PQ|ROB|LB|ROB_LB|SB|\ ROB_SB|LB_SB|RB_LB_SB|\ DTLB_miss]\ _tag_wait ST_q_tag_wait is listed under sl=20. These counters monitor pipeline behaviour therefore they are not strand specific: PQ_...: cycles Rename stage waits for a Pick Queue tag (might signal memory bound workload for single thread mode, cf. Mail from Richard Smith) ROB_...: cycles Select stage waits for a ROB (ReOrderBuffer) tag LB_...: cycles Select stage waits for a Load Buffer tag SB_...: cycles Select stage waits for Store Buffer tag combinations of the above are allowed, although some of these events can overlap, the counter will only be incremented once per cycle if any of these occur DTLB_...: cycles load or store instructions wait at Pick stage for a DTLB miss tag [ID]TLB_HWTW_\ [L2_hit|L3_hit|L3_miss|all] Counters for HWTW accesses caused by either DTLB or ITLB misses. Canbe further detailed by where they hit IC_miss_L2_L3_hit, IC_miss_local_remote_remL3_hit, IC_miss I$ prefetches that were dropped because they either miss in L2$ or L3$ This variant counts misses regardless if the causing instruction commits or not DC_miss_nospec, DC_miss_[L2_L3|local|remote_L3]\ _hit_nospec D$ misses either in general or detailed by where they hit cf. the explanation for the IC_miss in two flavours for an explanation of _nospec and the reasoning for two DC_miss counters DTLB_miss_asynch counts all DTLB misses asynchronously, there is no way to count them synchronously DC_pref_drop_DC_hit, SW_pref_drop_[DC_hit|buffer_full] L1-D$ h/w prefetches that were dropped because of a D$ hit, counted per core. The others count software prefetches per strand [Full|Partial]_RAW_hit_st_[buf|q] Count events where a load wants to get data that has not yet been stored, i. e. it is still inside the pipeline. The data might be either still in the store buffer or in the store queue. If the load's data matches in the SB and in the store queue the data in buffer takes precedence of course since it is younger [IC|DC]_evict_invalid, [IC|DC|L1]_snoop_invalid, [IC|DC|L1]_invalid_all Counter for invalidated cache evictions per core St_q_tag_wait Number of cycles pipeline waits for a store queue tag, of course counted per core Data_pref_[drop_L2|drop_L3|\ hit_L2|hit_L3|\ hit_local|hit_remote] Data prefetches that can be further detailed by either why they were dropped or where they did hit St_hit_[L2|L3], St_L2_[local|remote]_C2C, St_local, St_remote Store events distinguished by where they hit or where they cause a L2 cache-to-cache transfer, i.e. either a transfer from another L2$ on the same die or from a different die DC_miss, DC_miss_\ [L2_L3|local|remote]_hit D$ misses either in general or detailed by where they hit cf. the explanation for the IC_miss in two flavours for an explanation of _nospec and the reasoning for two DC_miss counters L2_[clean|dirty]_evict Per core clean or dirty L2$ evictions L2_fill_buf_full, L2_wb_buf_full, L2_miss_buf_full Per core L2$ buffer events, all count number of cycles that this state was present L2_pipe_stall Per core cycles pipeline stalled because of L2$ Branches Count branches (Tcc, DONE, RETRY, and SIT are not counted as branches) Br_taken Counts taken branches (Tcc, DONE, RETRY, and SIT are not counted as branches) Br_mispred, Br_dir_mispred, Br_trg_mispred, Br_trg_mispred_\ [far_tbl|indir_tbl|ret_stk] Counter for various branch misprediction events.  Cycles_user counts cycles, attribute setting hpriv, nouser, sys controls addess space to count in Commit-[0|1|2], Commit-0-all, Commit-1-or-2 Number of times either no, one, or two µops commit for a strand. Commit-0-all counts number of times no µop commits for the whole core, cf. footnote 11 to table 10.2 in PRM for a more detailed explanation on how this counters interacts with the privilege levels

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  • SEM & Adwords: How many click without a sale before i should pause a keyword

    - by Thomas Jönsson
    I wonder how many clicks I optimally should let pass through every new keyword I try in Adwords before I find out that it's not making a profit and it should be paused! It's actually four question. 1: At which likelihood percentile should I pause a word? 2: How many clicks should I let through before I pause a word for those word which do not generate any lead? 3: How many clicks should I let through after one sale to consider the word not to be profitable? 4: Does the likelihood of the word becoming profitable affect the above? Conditions: -The clicks is normally distributed. (correct?) -A CR of 1% is break even, everything above is profit (1 sale/100 clicks=break even) Cost per Click(cpc) = 4$ -Marginal (profit per sale) = 400$ -Paybacktime = 1 year -Average click per word = 0,333 per day (121 + 2/3 per year) Exampel: After 1 click and no sale the keyword still has a high probability to be profitable. After 500 clicks and no sale it has almost no likelihood to not be profitable and should probably be paused. Thanks in advance!

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  • CFO Central

    - by antonella.buonagurio(at)oracle.com
    CFO Central è il portale web Oracle interamente dedicato ai temi di interesse del Chief Financial Officer. Un vero centro informazioni virtuale per i responsabili Amministrazione, Finanza e Controllo che comprende: le news selezionate a cura di CFO Market Watch, i piu' recenti casi di successo dei nostri clienti, i processi di management gestiti dal CFO e le soluzioni più innovative per gestirli e migliorarli, tutti gli eventi Oracle specificatamente focalizzati sulla funzione finanziaria ed un esclusivo Centro Risorse specialistico per il CFO. www.oraclecfo.com  

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  • Windows Embedded in Padua

    - by Valter Minute
    Martedì 8 Giugno, presso l’università di Padova terrò un intervento su Windows CE all’interno dell’evento: “Workshop sulle nuove architetture per sistemi embedded”. All’interno dello stesso evento altre sessioni tratteranno dell’architettura ARM e in particolare dei nuovi core Cortex A8, di applicazioni avanzate e di Linux Embedded. L’agenda (fitta e interessante) e il link per le iscrizioni potete trovarli qui: http://www.arrowitaly.it/training-events/training-events/dettaglio-training/article/workshop-sulle-nuove-architetture-per-sistemi-embedded/?tx_ttnews[backPid]=1336&cHash=ae34e269e1

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  • Hai mai pensato a quanto ti costa qualificare le tue opportunità commerciali?

    - by user812481
    Il successo delle attività di marketing è dovuto alla profonda conoscenza dei propri clienti: chi sono, cosa acquistano e perché, come preferiscono essere contattati. Se i dati sui clienti sono distribuiti su più sistemi, rispondere a queste domande diventa difficile ed oneroso. Hai bisogno di un mix di strumenti best-in-class per l'automazione della forza di vendita e per l'efficienza delle attività di marketing, facendo confluire i dati chiave in un unico punto di accesso, per una visione a 360 gradi dei clienti. Vorresti incrementare il ROI delle campagne di marketing, proponendo diversi messaggi in funzione dei differenti target, ottenendo così un maggior successo delle iniziative? Scopri come ottenere una conoscenza maggiore del target per creare campagne di successo, mirate e personalizzate, attraverso video in italiano e docuemtni da condividere con i vostri colleghi.

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  • Unisciti alla Customer Experience Revolution! 27 settembre 2012, Milano

    - by antonella.buonagurio
    Si tiene giovedì 27 settembre a Milano Oracle Customer Experience Briefing, un evento pensato per riflettere sulla Customer Experience vista come strategia per dare vita a processi più completi ed innovativi per generare e gestire l’interazione con i consumatori, su tutti i canali. I lavori si terranno in particolare dalle 10.30 alle 13.00 presso Casa dell’Energia (Piazza Po 3). Enrico Finzi, Sociologo e Presidente di AstraRicerche, condividerà la propria visione sul tema e ne discuterà insieme agli esperti di Accenture e Oracle. L'incontro, rivolto in particolare alle aziende dei settori Retail e Beni di Consumo, consentirà dunque di comprendere perché la Customer Experience sia diventata la componente più importante e strategica del business delle imprese e di scoprire come essa accelleri l’acquisizione di nuovi clienti, incrementi la fidelizzazione ad un brand/prodotto/servizio, migliori l’efficienza operativa e sostenga le vendite. L’evento darà inoltre la possibilità di capire come le soluzioni di Customer Experience possono aiutare le aziende a far vivere questa esperienza ai clienti in modo coerente e personalizzato, attraverso tutti i canali e su tutti i dispositivi, ottenendo risultati misurabili.La partecipazione è gratuita su invito ed è riservata alle aziende finali. Per registrarsi all’evento è possibile collegarsi a questo link.

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  • What's wrong with my ext4 partition?

    - by bumbling fool
    What is wrong with this picture? Top is output from "df -h", bottom is gparted. I suspect I'm missing a lot of free space. No problems other than that (yet). Can somebody suggest the best (non-destructive) way to correct this? sudo dumpe2fs -h /dev/sda3: (source http://pastebin.com/nAvrdT4E) Filesystem volume name: <none> Last mounted on: / Filesystem UUID: 9f6eff64-60d7-4eec-81d5-1e8acd818b38 Filesystem magic number: 0xEF53 Filesystem revision #: 1 (dynamic) Filesystem features: has_journal ext_attr resize_inode dir_index filetype needs_recovery extent flex_bg sparse_super large_file huge_file uninit_bg dir_nlink extra_isize Filesystem flags: signed_directory_hash Default mount options: (none) Filesystem state: clean Errors behavior: Continue Filesystem OS type: Linux Inode count: 1602496 Block count: 6406144 Reserved block count: 320306 Free blocks: 4842284 Free inodes: 1361222 First block: 0 Block size: 4096 Fragment size: 4096 Reserved GDT blocks: 1022 Blocks per group: 32768 Fragments per group: 32768 Inodes per group: 8176 Inode blocks per group: 511 RAID stride: 32692 Flex block group size: 16 Filesystem created: Sun Nov 8 18:18:13 2009 Last mount time: Tue Mar 1 01:04:27 2011 Last write time: Mon Feb 28 04:27:34 2011 Mount count: 16 Maximum mount count: 28 Last checked: Thu Feb 24 06:23:39 2011 Check interval: 15552000 (6 months) Next check after: Tue Aug 23 07:23:39 2011 Lifetime writes: 227 GB Reserved blocks uid: 0 (user root) Reserved blocks gid: 0 (group root) First inode: 11 Inode size: 256 Required extra isize: 28 Desired extra isize: 28 Journal inode: 8 First orphan inode: 268015 Default directory hash: half_md4 Directory Hash Seed: cc101517-e617-482b-a883-a72919419c84 Journal backup: inode blocks Journal features: journal_incompat_revoke Journal size: 128M Journal length: 32768 Journal sequence: 0x001d3000 Journal start: 7787 fdisk and parted output per requests: http://pastebin.com/EGVH7Ken

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  • Spotlight on GlassFish 4.1: #7 WebSocket Session Throttling and JMX Monitoring

    - by delabassee
    'Spotlight on GlassFish 4.1' is a series of posts that highlights specific enhancements of the upcoming GlassFish 4.1 release. It could be a new feature, a fix, a behavior change, a tip, etc. #7 WebSocket Session Throttling and JMX Monitoring GlassFish 4.1 embeds Tyrus 1.8.1 which is compliant with the Maintenance Release of JSR 356 ("WebSocket API 1.1"). This release also brings brings additional features to the WebSocket support in GlassFish. JMX Monitoring: Tyrus now exposes WebSocket metrics through JMX . In GF 4.1, the following message statistics are monitored for both sent and received messages: messages count messages count per second average message size smallest message size largest message size Those statistics are collected independently of the message type (global count) and per specific message type (text, binary and control message). In GF 4.1, Tyrus also monitors, and exposes through JMX, errors at the application and endpoint level. For more information, please check Tyrus JMX Monitoring Session Throttling To preserve resources on the server hosting websocket endpoints, Tyrus now offers ways to limit the number of open sessions. Those limits can be configured at different level: per whole application per endpoint per remote endpoint address (client IP address)   For more details, check Tyrus Session Throttling. The next entry will focus on Tyrus new clients-side features.

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  • It could be worse....

    - by Darryl Gove
    As "guest" pointed out, in my file I/O test I didn't open the file with O_SYNC, so in fact the time was spent in OS code rather than in disk I/O. It's a straightforward change to add O_SYNC to the open() call, but it's also useful to reduce the iteration count - since the cost per write is much higher: ... #define SIZE 1024 void test_write() { starttime(); int file = open("./test.dat",O_WRONLY|O_CREAT|O_SYNC,S_IWGRP|S_IWOTH|S_IWUSR); ... Running this gave the following results: Time per iteration 0.000065606310 MB/s Time per iteration 2.709711563906 MB/s Time per iteration 0.178590114758 MB/s Yup, disk I/O is way slower than the original I/O calls. However, it's not a very fair comparison since disks get written in large blocks of data and we're deliberately sending a single byte. A fairer result would be to look at the I/O operations per second; which is about 65 - pretty much what I'd expect for this system. It's also interesting to examine at the profiles for the two cases. When the write() was trapping into the OS the profile indicated that all the time was being spent in system. When the data was being written to disk, the time got attributed to sleep. This gives us an indication how to interpret profiles from apps doing I/O. It's the sleep time that indicates disk activity.

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  • Webcast su Fusion CRM – il primo appuntamento è adesso on demand!

    - by Silvia Valgoi
    Se non hai potuto seguire il webcast su Fusion CRM (in italiano!) o se lo vuoi rivedere, ecco qui il link. Il webcast rappresenta il primo appuntamento dedicato ad approfondire le novità di Fusion CRM, il nuovo standard per gestire Vendite e Marketing e per scoprire in che modo una revisione dei processi commerciali possa garantire produttività del team di vendita ed una efficace integrazione con i processi di marketing. Il prossimo appuntamento è per il 3 luglio sempre alle 12:00. In quell’occasione ci si focalizzerà più su un modulo specifico di Fusion CRM: Oracle Fusion Territory Management che rappresenta la più completa soluzione per la gestiore dei territori e delle aree. Registrati qui. Non perdere l’ultimo appuntamento prima delle vacanze!

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  • Answers to Conference Revenue Tweet Questions

    - by D'Arcy Lussier
    Originally posted on: http://geekswithblogs.net/dlussier/archive/2014/05/27/156612.aspxI tweeted this the other day… …and I had some people tweet back questioning/asking about the profit number. So here’s how I came to that figure. Total Revenue Let’s talk total revenue first. This conference has a huge list of companies/organizations paying some amount for sponsorship. Platinum ($1500) x 5 = $7500 Gold ($1000) x 3 = $3000 Silver ($500) x 9 = $4500 Bronze ($250) x 13 = $3250 There’s also a title sponsor level but there’s no mention of how much that is…more than $1500 though, so let’s just say $2500. Total Sponsorship Revenue: $20750.00 For registrations, this conference is claiming over 300 attendees. We’ll just calculate at 300 and the discounted “member rate” – $249. Total Registration Revenue: $74700.00 Booth space is also sold for a vendor area, but let’s just leave that out of the calculation. Total Event Revenue: $95450.00 Now that we know how much money we’re playing with, let’s knock out the costs for the event. Total Costs Hard Costs Audio/Visual Services $2000 Conference Rooms (4 Breakouts + Plenary) $2500 Insurance $700 Printing/Signage $1500 Travel/Hotel Rooms $2000 Keynotes $2000 So let’s talk about these hard costs first. First you may be asking about the Audio Visual. Yes those services can be that high, actually higher. But since there’s an A/V company touted as the official A/V provider, I gotta think there’s some discount for being branded as such. Conference rooms are actually an inflated amount of $500 per. Venues make money on the food they sell at events, not on room rentals. The more food, the cheaper the rooms tend to be offered at. Still, for the sake of argument, let’s set the rooms at $500 each knowing that they could be lower. For travel and hotel rooms…it appears that most of the speakers at this conference are local, meaning there’s no travel or hotel cost. But a few of them I wasn’t too sure…so let’s factor in enough to cover two outside speakers (airfare and hotel). There are two keynotes for this event and depending on the event those may be paid gigs. I’m not sure if they are or not, but considering the closing one is a comedian I’m going to add some funds here for that just in case. Total Hard Costs: $10700 Now that the hard costs are out of the way, let’s talk about the food costs. Food Costs The conference is providing a continental breakfast (YEEEESH!), some level of luncheon, and I have to assume coffee breaks in between. Let’s look at those costs. Continental Breakfast $12 per person Lunch Buffet $18 per person Coffee Breaks (2) $6 per person (or $3 a cup) Snacks (2) $10 per person (or $5 each) Note that the lunch buffet assumes a *good* lunch buffet – two entrees, starch, vegetable, salads, and bread. Not sure if there’ll be snacks during coffee breaks but let’s assume so. Total Food Cost Per Person: $46 Food Cost: $14950 Gratuity: $2691 Total Food Cost: $17641 Total food cost is based on the $46 per person cost x 325. 300 for attendance, 12 for speakers, extra 13 for volunteers/organizers. Gratuity is 18%. Grand Totals So let’s sum things up here. Total Costs Hard Costs: $10700.00 Food Costs: $17641.00 Total:          $28341.00 Taxes:         $3685.00 Grand Total  $32026.00 Total Revenue Sponsorship  $20750 Registration   $74700 Grand Total   $95450.00 Total Profit $63424.00 Now what if the registration numbers were lower and they only got 100 people to show up. In that scenario there’d still be a profit of just under $26000. Closing Comments A couple of things to note: - I haven’t factored in anything for prizes. Not sure if any will be given out - We didn’t add in the booth space revenue - We’re assuming speakers aren’t getting paid, but even if they were at the high end its $12000 ($1000 per session), which is probably an inflated number for local speakers. - Note that all registrations were set to the “member” discounted price. The non-member registration price is higher. There is also an option for those that just want to show up for the opening keynote. There you have it! Let me know if you have any questions. D

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  • On-Premises to Office 365: Identity

    - by Sahil Malik
    SharePoint, WCF and Azure Trainings: more information “Run your business, not your mail server.” I am not sure where I read that, but it makes so much sense! Every organization is moving to the cloud, and some just haven’t started their journey yet. One of the fastest and most compelling online cloud based offerings is Office 365. Available in various SKUs, you can get SharePoint, Lync, Exchange, and Office professional as cloud-based offerings. The subscriptions are as low as $2 per user per month to $20 something per user per month. Also, with SharePoint 2013, if you buy Office 365 subscriptions for your users, you don’t need to buy CALs (Client Access Licenses) for on-premises use. Read full article here. Read full article ....

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  • MySQL - Sort on a calculated value based on two dates

    - by Petter Magnusson
    I have the following problem that needs to be solved in a MySQL query: Fields info - textfield date1 - a date field date2 - a date field offset1 - a text field with a number in the first two positions, example "10-High" offset2 - a text field with a number in the first two positions, example "10-High" I need to sort the records by the calculated "sortvalue" based on the current date (today): If today=date2 then sortvalue=offset1*10+offset2*5+1000 else sortvalue=offset1*10+offset2*5 I have quite good understanding of basic SQL with joins etc, but this I am not even sure if its possible...if it helps I could perhaps live with a single formula giving the same sort of effect as the IFs do....ie. before date1 = low value, after date2 = high value... Rgds PM

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  • Why is iTunes starting and stopping play randomly, and how do I stop it?

    - by Chris R
    Since yesterday morning my copy of iTunes has been starting and stopping randomly. If iTunes is not running, then it opens and sometimes begins playing, other times sits idle. Eventually, after a random interval it will begin playing a song, and then stop, and so on... Needless to say, it's driving me mad. (Mac OSX, 10.6.3, on a new-ish (< 1 year old) 24" iMac) I've made five changes to my system that may or may not be connected to this: My office phone was replaced with a Linksys IP Phone, which necessitated a change to my networking; where previously my Mac was connected directly to the office network port, now it is connected through the phone. My network connection now uses auto link detection in lieu of forcing 100Mbit I unpaired my bluetooth headset. I removed the USB audio device associated with another headset. I upgraded to Safari 5. I don't use it as a primary browser, but it's often open to run web apps that I'm developing. All of these things happened in pretty close proximity to each other, so one or more of them may be the culprit. One other thing that may or may not be related; for some reason my built-in microphone is no longer picking up audio. It seems like this might be connected to the iTunes issue, because it happened around the same time. In terms of things that I've tried in order to solve this, I'm at a bit of a loss. I followed the instructions at http://developer.apple.com/mac/library/technotes/tn2004/tn2124.html#SECLAUNCHDLOGGING to enable detailed launchd logging to see if I could track down which process was asking iTunes to open (when it's not already open) but I wasn't able to make heads or tails of the output. I'm not even sure if I'm looking in the right place, to be honest; it actually acts like something is activating the application with AppleScript, but I have no processes running that are doing that, as far as I know. I'm running a few apps that have iTunes integration: Adium, iChat with Chax, Quicksilver. None of these have been changed lately, so I consider them low risks of causing this, but it's not impossible. Moreover, I'm not using any of those features intentionally. This is a snippet of launchd debug logging from around the time it just launched: 10-06-09 9:14:29 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:29 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) Dispatching kevent callback. 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) EVFILT_PROC event for job: 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x1004076f0 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) fork()ed 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Conceived 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Created PID 22197 anonymously by PPID 26 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.system.notification_center 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.notification_center 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.CoreServices.coreservicesd 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.CoreServices.coreservicesd 10-06-09 9:14:29 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 22197 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_EXIT 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Dispatching kevent callback. 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) EVFILT_PROC event for job: 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100401720 data = 0x0 ident = 22197 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_EXIT 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Reaping 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Total rusage: utime 0.000000 stime 0.000000 maxrss 0 ixrss 0 idrss 0 isrss 0 minflt 0 majflt 0 nswap 0 inblock 0 oublock 0 msgsnd 0 msgrcv 0 nsignals 0 nvcsw 0 nivcsw 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Removed 10-06-09 9:14:30 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:30 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 22197 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR|EV_EOF|EV_ONESHOT fflags = NOTE_REAP 10-06-09 9:14:32 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:32 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:33 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:33 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 143 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Dispatching kevent callback. 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) EVFILT_PROC event for job: 10-06-09 9:14:33 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10041e9a0 data = 0x0 ident = 143 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) fork()ed 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.distributed_notifications.2 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.distributed_notifications.2 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.system.notification_center 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.notification_center 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.CoreServices.coreservicesd 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.CoreServices.coreservicesd 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.SystemConfiguration.configd 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.SystemConfiguration.configd 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.audio.coreaudiod 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.audio.coreaudiod 10-06-09 9:14:34 AM com.apple.launchd[1] System: Looking up service com.apple.system.logger 10-06-09 9:14:34 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.logger 10-06-09 9:14:35 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:35 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:35 AM com.apple.launchd[1] System: Looking up service com.apple.DiskArbitration.diskarbitrationd 10-06-09 9:14:35 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.DiskArbitration.diskarbitrationd 10-06-09 9:14:35 AM com.apple.launchd[1] System: Looking up service com.apple.system.logger 10-06-09 9:14:35 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.logger 10-06-09 9:14:36 AM com.apple.launchd[1] System: Looking up service com.apple.FSEvents 10-06-09 9:14:36 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.FSEvents 10-06-09 9:14:36 AM com.apple.launchd[1] System: Looking up service com.apple.SystemConfiguration.configd 10-06-09 9:14:36 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.SystemConfiguration.configd 10-06-09 9:14:38 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:38 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:39 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:39 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) Dispatching kevent callback. 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) EVFILT_PROC event for job: 10-06-09 9:14:39 AM com.apple.launchd[1] KEVENT[0]: udata = 0x1004076f0 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) fork()ed 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Conceived 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Created PID 22211 anonymously by PPID 26 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Looking up per user launchd for UID: 0 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Per user launchd job found for UID: 505 10-06-09 9:14:39 AM com.apple.launchd[1] System: Looking up service com.apple.system.notification_center 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.notification_center 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Looking up per user launchd for UID: 0 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Per user launchd job found for UID: 505 10-06-09 9:14:39 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.libinfo_v1

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  • Why from a virtualized Ubuntu system I can't discover the ip address of my router?

    - by AndreaNobili
    I am not into computer network and I have the following problem finding my router IP address. I have a Windows 8 PC on on which it is installed VmWare Workstation that virtualizes Linux Ubuntu. The network adapter settings of this Virtual Machine is setted as NAT. Now my problem is that if in the Windows 8 DOS shell I perform the ifconfig statment I obtain C:\Users\Andrea>ipconfig Configurazione IP di Windows Scheda Ethernet tap0: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: techub.lan Scheda Ethernet Connessione di rete Bluetooth: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: Scheda LAN wireless Connessione alla rete locale (LAN)* 11: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: Scheda LAN wireless Wi-Fi: Suffisso DNS specifico per connessione: DSL2750B Indirizzo IPv6 locale rispetto al collegamento . : fe80::89ff:6d12:49cf:4354%13 Indirizzo IPv4. . . . . . . . . . . . : 192.168.1.3 Subnet mask . . . . . . . . . . . . . : 255.255.255.0 Gateway predefinito . . . . . . . . . : 192.168.1.1 Scheda Ethernet Ethernet: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: Scheda Ethernet VMware Network Adapter VMnet1: Suffisso DNS specifico per connessione: Indirizzo IPv6 locale rispetto al collegamento . : fe80::edb3:8352:f954:2b0c%23 Indirizzo IPv4. . . . . . . . . . . . : 192.168.129.1 Subnet mask . . . . . . . . . . . . . : 255.255.255.0 Gateway predefinito . . . . . . . . . : Scheda Ethernet VMware Network Adapter VMnet8: Suffisso DNS specifico per connessione: Indirizzo IPv6 locale rispetto al collegamento . : fe80::d00b:8c6e:98b:f1ec%24 Indirizzo IPv4. . . . . . . . . . . . : 192.168.15.1 Subnet mask . . . . . . . . . . . . . : 255.255.255.0 Gateway predefinito . . . . . . . . . : Scheda Tunnel Teredo Tunneling Pseudo-Interface: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: Scheda Tunnel isatap.techub.lan: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: techub.lan Scheda Tunnel isatap.{5B95051D-79AB-4147-92CF-3A2E16698432}: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: Scheda Tunnel isatap.{340A5FAD-1597-402E-B658-29C37E8F7BC2}: Stato supporto. . . . . . . . . . . . : Supporto disconnesso Suffisso DNS specifico per connessione: Scheda Tunnel isatap.DSL2750B: Suffisso DNS specifico per connessione: DSL2750B Indirizzo IPv6 locale rispetto al collegamento . : fe80::5efe:192.168.1.3%26 Gateway predefinito . . . . . . . . . : So, looking at the previous output it appear clear that the default gateway (my router) is: 192.168.1.1, infact if I open it into a browser it apear to me the login mask to enter in the router settings.... Ok, if now I open the virtualized Ubuntu shell and perform the route command I obtain this output: andrea@andrea-virtual-machine:~$ route Tabella di routing IP del kernel Destination Gateway Genmask Flags Metric Ref Use Iface default 192.168.15.2 0.0.0.0 UG 0 0 0 eth0 link-local * 255.255.0.0 U 1000 0 0 eth0 192.168.15.0 * 255.255.255.0 U 1 0 0 eth0 So, here it say to me that the default gateway is 192.168.15.2 (that is not my router ip address), why? My idea is that it could depend by the NAT. Because my Windows system is connected using the wireless but in the virtualized Ubuntu I see that I am connected to a "wired network". So I think that the NAT virtualize a network adapter (or something like this) and that 192.168.15.2 could be the ip address of this network adapter... But it seems strange to me because, as you can see in the previous ipconfig output the VmWare network adapter addresses are: 192.168.129.1 and 192.168.15.1. So I have also 2 others doubts: 1) What device represents the 192.168.15.2 ip address that the virtualized Ubuntu see as Default gateway but that is not my router? 2) What exactly do the two VmWare network adapter that I have configured into my Windows 8 system? There is a way to discover my router ip from the virtualized Ubuntu system ? Tnx Andrea

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  • Comparing Nginx+PHP-FPM to Apache-mod_php

    - by Rushi
    I'm running Drupal and trying to figure out the best stack to serve it. Apache + mod_php or Nginx + PHP-FPM I used ApacheBench (ab) and Siege to test both setups and I'm seeing Apache performing better. This surprises me a little bit since I've heard a lot of good things about Nginx + PHP-FPM. My current Nginx setup is something that is a bit out of the box, and the same goes for PHP-FPM What optimizations I can make to speed up the Nginx + PHP-FPM combo over Apache and mo_php ? In my tests using ab, Apache is outperforming Nginx significantly (higher requets/second and finishing tests much faster) I've googled around a bit, but since I've never using Nginx, PHP-FPM or FastCGI, I don't exactly know where to start PHP v5.2.13, Drupal v6, latest PHP-FPM and Nginx compiled from source. Apache v2.0.63 ApacheBench Nginx + PHP-FPM Server Software: nginx/0.7.67 Server Hostname: test2.com Server Port: 80 Concurrency Level: 25 ---> Time taken for tests: 158.510008 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 ---> Requests per second: 6.31 [#/sec] (mean) Time per request: 3962.750 [ms] (mean) Time per request: 158.510 [ms] (mean, across all concurrent requests) Transfer rate: 181.38 [Kbytes/sec] received ApacheBench Apache using mod_php Server Software: Apache/2.0.63 Server Hostname: test1.com Server Port: 80 Concurrency Level: 25 --> Time taken for tests: 63.556663 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 --> Requests per second: 15.73 [#/sec] (mean) Time per request: 1588.917 [ms] (mean) Time per request: 63.557 [ms] (mean, across all concurrent requests) Transfer rate: 103.94 [Kbytes/sec] received

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  • Difference in performance: local machine VS amazon medium instance

    - by user644745
    I see a drastic difference in performance matrix when i run it with apache benchmark (ab) in my local machine VS production hosted in amazon medium instance. Same concurrent requests (5) and same total number of requests (111) has been run against both. Amazon has better memory than my local machine. But there are 2 CPUs in my local machine vs 1 CPU in m1.medium. My internet speed is very low at the moment, I am getting Transfer rate as 25.29KBps. How can I improve the performance ? Do not know how to interpret Connect, Processing, Waiting and total in ab output. Here is Localhost: Server Hostname: localhost Server Port: 9999 Document Path: / Document Length: 7631 bytes Concurrency Level: 5 Time taken for tests: 1.424 seconds Complete requests: 111 Failed requests: 102 (Connect: 0, Receive: 0, Length: 102, Exceptions: 0) Write errors: 0 Total transferred: 860808 bytes HTML transferred: 847155 bytes Requests per second: 77.95 [#/sec] (mean) Time per request: 64.148 [ms] (mean) Time per request: 12.830 [ms] (mean, across all concurrent requests) Transfer rate: 590.30 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.5 0 1 Processing: 14 63 99.9 43 562 Waiting: 14 60 96.7 39 560 Total: 14 63 99.9 43 563 And this is production: Document Path: / Document Length: 7783 bytes Concurrency Level: 5 Time taken for tests: 33.883 seconds Complete requests: 111 Failed requests: 0 Write errors: 0 Total transferred: 877566 bytes HTML transferred: 863913 bytes Requests per second: 3.28 [#/sec] (mean) Time per request: 1526.258 [ms] (mean) Time per request: 305.252 [ms] (mean, across all concurrent requests) Transfer rate: 25.29 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 290 297 14.0 293 413 Processing: 897 1178 63.4 1176 1391 Waiting: 296 606 135.6 588 1171 Total: 1191 1475 66.0 1471 1684

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  • Nginx Slower than Apache??

    - by ichilton
    Hi, I've just setup 2x identical Rackspace Cloud instances and am doing some comparisons and benchmarks to compare Apache and Nginx. I'm testing with a 3.4k png file and initially 512MB server instances but have now moved to 1024MB server instances. I'm very surprised to see that whatever I try, Apache seems to consistently outperform Nginx....what am I doing wrong? Nginx: Server Software: nginx/0.8.54 Server Port: 80 Document Length: 3400 bytes Concurrency Level: 100 Time taken for tests: 2.320 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 3612000 bytes HTML transferred: 3400000 bytes Requests per second: 431.01 [#/sec] (mean) Time per request: 232.014 [ms] (mean) Time per request: 2.320 [ms] (mean, across all concurrent requests) Transfer rate: 1520.31 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 11 15.7 3 120 Processing: 1 35 76.9 20 1674 Waiting: 1 31 73.0 19 1674 Total: 1 46 79.1 21 1693 Percentage of the requests served within a certain time (ms) 50% 21 66% 39 75% 40 80% 40 90% 98 95% 136 98% 269 99% 334 100% 1693 (longest request) And Apache: Server Software: Apache/2.2.16 Server Port: 80 Document Length: 3400 bytes Concurrency Level: 100 Time taken for tests: 1.346 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 3647000 bytes HTML transferred: 3400000 bytes Requests per second: 742.90 [#/sec] (mean) Time per request: 134.608 [ms] (mean) Time per request: 1.346 [ms] (mean, across all concurrent requests) Transfer rate: 2645.85 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 1 3.7 0 27 Processing: 0 3 6.2 1 29 Waiting: 0 2 5.0 1 29 Total: 1 4 7.0 1 29 Percentage of the requests served within a certain time (ms) 50% 1 66% 1 75% 1 80% 1 90% 17 95% 19 98% 26 99% 27 100% 29 (longest request) I'm currently using worker_processes 4; and worker_connections 1024; but i've tried and benchmarked different values and see the same behaviour on all - I just can't get it to perform as well as Apache and from what i've read previously, i'm shocked about this! Can anyone give any advice? Thanks, Ian

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  • FTP Server with advanced features

    - by Nikolas Sakic
    Hi, We supply zone-files to our customers. Some zone files are big about 300MB and some are quite small, maybe like 1MB. We had this issue that someone setup a script to continually download the file. Imagine downloading 300MB file a few hundred times a day. Since, we don't have packet-shaper to throttle the traffic, we need to upgrade ftp server and use add-on modules to limit the download somehow. We currently use proftpd server. Also note that there are different users for different domains - say, if you want to download zone file for .INFO domain, then you use a particular user. That user can't download any other zone's file. This is what we are looking for: Have maximum of 400MB download per user per day. Or even have different download limit for different users per day. Have one connection per user at any time. Max # of connection (non-simultaneous) per user per day is 5. Anyone trying to exceed that gets banned for 24 hours. Has anyone used FTP server with similar restrictions above? Does anyone have any ideas where I can start? Any help would be appreciated. Thanks. -N

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  • AWS elastic load balancer basic issues

    - by Jones
    I have an array of EC2 t1.micro instances behind a load balancer and each node can manage ~100 concurrent users before it starts to get wonky. i would THINK if i have 2 such instances it would allow my network to manage 200 concurrent users... apparently not. When i really slam the server (blitz.io) with a full 275 concurrents, it behaves the same as if there is just one node. it goes from 400ms response time to 1.6 seconds (which for a single t1.micro is expected, but not 6). So the question is, am i simply not doing something right or is ELB effectively worthless? Anyone have some wisdom on this? AB logs: Loadbalancer (3x m1.medium) Document Path: /ping/index.html Document Length: 185 bytes Concurrency Level: 100 Time taken for tests: 11.668 seconds Complete requests: 50000 Failed requests: 0 Write errors: 0 Non-2xx responses: 50001 Total transferred: 19850397 bytes HTML transferred: 9250185 bytes Requests per second: 4285.10 [#/sec] (mean) Time per request: 23.337 [ms] (mean) Time per request: 0.233 [ms] (mean, across all concurrent requests) Transfer rate: 1661.35 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 1 2 4.3 2 63 Processing: 2 21 15.1 19 302 Waiting: 2 21 15.0 19 261 Total: 3 23 15.7 21 304 Single instance (1x m1.medium direct connection) Document Path: /ping/index.html Document Length: 185 bytes Concurrency Level: 100 Time taken for tests: 9.597 seconds Complete requests: 50000 Failed requests: 0 Write errors: 0 Non-2xx responses: 50001 Total transferred: 19850397 bytes HTML transferred: 9250185 bytes Requests per second: 5210.19 [#/sec] (mean) Time per request: 19.193 [ms] (mean) Time per request: 0.192 [ms] (mean, across all concurrent requests) Transfer rate: 2020.01 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 1 9 128.9 3 3010 Processing: 1 10 8.7 9 141 Waiting: 1 9 8.7 8 140 Total: 2 19 129.0 12 3020

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