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Redis Workshop for Architects - Use Cases

H
HashedIn Technologies

The document describes a Redis workshop format used by HashedIn Technologies for their Redis conferences. The format involves dividing attendees into groups to discuss architectural solutions to different use cases. Each group is given 20 minutes to discuss a use case and develop a solution. Groups presenting the same use case will then present their solutions to the larger audience, moderated by a knowledgeable instructor. The goal is to encourage active participation over passive lectures and have attendees practice applying their Redis knowledge to real problems. Three sample use cases are provided for discussion: monitoring industrial sensors, personalizing a news website's content, and an image processing API.

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Redis​ ​Workshop  for​ ​Architects    ©​ ​​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Background  HashedIn​ ​organizes​ ​Redis​ ​conferences​ ​and​ ​meetups​ ​in​ ​multiple​ ​cities.​ ​These​ ​events​ ​attract  attendees​ ​from​ ​diverse​ ​backgrounds​ ​-​ ​developers,​ ​solution​ ​architects,​ ​managers,​ ​qa,  devops,​ ​system​ ​administrators,​ ​and​ ​HR/recruiters.​ ​It​ ​becomes​ ​extremely​ ​challenging​ ​to  arrange​ ​talks​ ​/​ ​presentations​ ​that​ ​cater​ ​to​ ​such​ ​a​ ​diverse​ ​audience.    Additionally,​ ​we​ ​realized​ ​attendees​ ​gained​ ​the​ ​most​ ​from​ ​the​ ​event​ ​when​ ​they​ ​were​ ​forced  to​ ​think​ ​and​ ​apply​ ​their​ ​knowledge.​ ​Active​ ​participation​ ​always​ ​trumped​ ​over​ ​passive​ ​talks  and​ ​presentations.     These​ ​two​ ​insights​ ​led​ ​us​ ​to​ ​architectural​ ​group​ ​discussions,​ ​with​ ​some​ ​guidance​ ​from​ ​a  knowledgeable​ ​moderator.  Architectural​ ​Group​ ​Discussions  Format The​ ​format​ ​is​ ​fairly​ ​simple,​ ​and​ ​works​ ​like​ ​this: 1. Divide​ ​the​ ​audience​ ​into​ ​even​ ​number​ ​of​ ​groups.​ ​Ideally,​ ​six​ ​groups​ ​of​ ​about​ ​6-8​ ​people work​ ​the​ ​best.​ ​You​ ​can​ ​scale​ ​up​ ​and​ ​down​ ​a​ ​bit. 2. Give​ ​two​ ​groups​ ​the​ ​same​ ​case​ ​study.​ ​So​ ​if​ ​you​ ​have​ ​6​ ​groups​ ​in​ ​total,​ ​you​ ​need​ ​3​ ​case studies.​ ​Group​ ​1​ ​and​ ​2​ ​work​ ​on​ ​use​ ​case​ ​A,​ ​Groups​ ​3​ ​and​ ​4​ ​on​ ​use​ ​case​ ​B​ ​and​ ​so​ ​on. 3. Give​ ​the​ ​groups​ ​about​ ​20​ ​minutes​ ​to​ ​discuss​ ​the​ ​solution​ ​for​ ​the​ ​problem. 4. After​ ​20​ ​minutes,​ ​you​ ​start​ ​the​ ​presentations 5. First,​ ​moderator​ ​explains​ ​use​ ​case​ ​A​ ​so​ ​that​ ​groups​ ​3​ ​through​ ​6​ ​understand​ ​it 6. Then​ ​Group​ ​1​ ​presents​ ​their​ ​solution,​ ​followed​ ​by​ ​Group​ ​2.​ ​In​ ​this​ ​way,​ ​you​ ​have potentially​ ​two​ ​different​ ​solutions​ ​presented 7. After​ ​this,​ ​the​ ​moderator​ ​intervenes​ ​and​ ​asks​ ​questions.​ ​At​ ​this​ ​point,​ ​the​ ​larger audience​ ​can​ ​also​ ​interject​ ​and​ ​share​ ​their​ ​thoughts 8. Finally,​ ​the​ ​moderator​ ​summarizes​ ​the​ ​entire​ ​discussion. 9. Repeat​ ​for​ ​other​ ​2​ ​use​ ​cases​ ​with​ ​the​ ​remaining​ ​groups Instructions​ ​to​ ​Participants 1. You​ ​have​ ​20​ ​minutes​ ​to​ ​discuss​ ​the​ ​solution,​ ​and​ ​2​ ​minutes​ ​to​ ​present​ ​your​ ​solution​ ​at the​ ​end.​ ​The​ ​presentation​ ​is​ ​verbal,​ ​no​ ​slides. 2. Choose​ ​the​ ​best​ ​technology​ ​for​ ​the​ ​job,​ ​don’t​ ​be​ ​limited​ ​to​ ​just​ ​Redis 3. Some​ ​requirements​ ​may​ ​not​ ​be​ ​clear.​ ​Use​ ​your​ ​judgement,​ ​make​ ​some​ ​assumptions, and​ ​build​ ​your​ ​solutions​ ​on​ ​the​ ​basis​ ​of​ ​those​ ​assumptions ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
4. Choose​ ​one​ ​person​ ​from​ ​your​ ​group​ ​as​ ​the​ ​presenter.​ ​The​ ​presenter​ ​will​ ​summarize​ ​the solution​ ​and​ ​present​ ​it​ ​to​ ​the​ ​larger​ ​audience​ ​at​ ​the​ ​end. Instructions​ ​for​ ​Moderator 1. This​ ​group​ ​discussion​ ​is​ ​purposefully​ ​open​ ​ended.​ ​You​ ​can​ ​never​ ​be​ ​sure​ ​of​ ​the questions​ ​participants​ ​ask,​ ​or​ ​the​ ​solutions​ ​they​ ​present.​ ​Therefore,​ ​you​ ​really​ ​must​ ​have deep​ ​knowledge​ ​to​ ​be​ ​able​ ​to​ ​moderate​ ​successfully 2. It​ ​is​ ​important​ ​to​ ​create​ ​groups​ ​randomly.​ ​In​ ​particular,​ ​participants​ ​from​ ​the​ ​same company​ ​/​ ​similar​ ​backgrounds​ ​should​ ​be​ ​in​ ​different​ ​teams.​ ​In​ ​our​ ​conferences,​ ​we​ ​print participant​ ​lanyards​ ​/​ ​badges​ ​in​ ​6​ ​different​ ​colours,​ ​and​ ​this​ ​determines​ ​the​ ​group​ ​you belong​ ​to. 3. While​ ​the​ ​group​ ​discusses​ ​the​ ​solution,​ ​go​ ​around​ ​and​ ​speak​ ​to​ ​each​ ​team.​ ​Clarify​ ​the use​ ​cases,​ ​and​ ​help​ ​them​ ​in​ ​making​ ​assumptions​ ​on​ ​the​ ​requirements.​ ​But​ ​do​ ​not influence​ ​their​ ​solution,​ ​even​ ​if​ ​you​ ​know​ ​they​ ​are​ ​obviously​ ​wrong. 4. When​ ​teams​ ​present​ ​their​ ​solutions​ ​-​ ​maintain​ ​your​ ​private​ ​notes​ ​on​ ​the​ ​key technologies​ ​/​ ​decisions​ ​that​ ​are​ ​being​ ​presented. 5. After​ ​both​ ​teams​ ​have​ ​presented,​ ​summarize​ ​both​ ​their​ ​solutions.​ ​Contrast​ ​the technologies/approaches​ ​that​ ​are​ ​different​ ​between​ ​the​ ​teams.​ ​Bring​ ​to​ ​attention particular​ ​approaches​ ​you​ ​disagree​ ​with 6. Then​ ​open​ ​up​ ​to​ ​the​ ​audience​ ​by​ ​asking​ ​pointed​ ​questions: a. Is​ ​Kafka​ ​a​ ​good​ ​choice​ ​for​ ​running​ ​background​ ​jobs? b. Do​ ​you​ ​think​ ​you​ ​should​ ​use​ ​sorted​ ​sets​ ​for​ ​storing​ ​frequently​ ​visited​ ​articles? 7. As​ ​much​ ​as​ ​possible,​ ​let​ ​the​ ​two​ ​teams​ ​and​ ​the​ ​audience​ ​arrive​ ​at​ ​a​ ​solution 8. Finally​ ​though,​ ​intervene​ ​and​ ​summarize​ ​the​ ​conversation​ ​: a. For​ ​obviously​ ​wrong​ ​choices,​ ​explain​ ​why​ ​it​ ​is​ ​wrong​ ​and​ ​suggest​ ​a​ ​better approach b. For​ ​use​ ​cases​ ​that​ ​can​ ​be​ ​solved​ ​in​ ​multiple​ ​ways,​ ​explain​ ​the​ ​pros​ ​and​ ​cons​ ​of each​ ​approach,​ ​and​ ​suggest​ ​under​ ​what​ ​circumstances​ ​one​ ​solution​ ​works​ ​better than​ ​the​ ​other c. For​ ​solutions​ ​that​ ​were​ ​correct​ ​-​ ​acknowledge​ ​the​ ​solution​ ​and​ ​give​ ​credit​ ​to​ ​the teams 9. There​ ​will​ ​be​ ​distractions,​ ​people​ ​will​ ​ask​ ​tangential​ ​questions​ ​not​ ​related​ ​to​ ​the​ ​use case.​ ​Use​ ​your​ ​judgement​ ​-​ ​if​ ​the​ ​question​ ​is​ ​relevant​ ​to​ ​the​ ​larger​ ​audience,​ ​answer​ ​it.​ ​If it​ ​is​ ​very​ ​specific,​ ​discuss​ ​the​ ​question​ ​later​ ​with​ ​the​ ​individual.       ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Use​ ​Case​ ​:​ ​MONITRON  A​ ​monitoring​ ​company​ ​has​ ​deployed​ ​thousands​ ​of​ ​sensors​ ​across​ ​the​ ​country.​ ​These  sensors​ ​monitor​ ​heavy​ ​machinery​ ​and​ ​constantly​ ​capture​ ​the​ ​following​ ​data:  - GPS​ ​locations​ ​-​ ​latitudes​ ​/​ ​longitudes  - Temperature  - Vibration  - Signal​ ​Strength  - 20​ ​optional​ ​parameters,​ ​values​ ​​ ​between​ ​0.0​ ​to​ ​100.0​ ​double​ ​precision    These​ ​data​ ​are​ ​sent​ ​over​ ​HTTP​ ​to​ ​a​ ​central​ ​location​ ​and​ ​are​ ​then​ ​written​ ​to​ ​a​ ​relation  database.  The​ ​relation​ ​database​ ​is​ ​now​ ​under​ ​heavy​ ​load​ ​and​ ​we​ ​are​ ​now​ ​losing​ ​the​ ​metrics.    Additionally,​ ​the​ ​management​ ​wants​ ​a​ ​operational​ ​dashboard​ ​that​ ​shows​ ​the​ ​latest​ ​values  for​ ​each​ ​sensor​ ​in​ ​a​ ​fast​ ​and​ ​efficient​ ​manner.    As​ ​a​ ​consultant,​ ​how​ ​can​ ​you​ ​help​ ​this​ ​monitoring​ ​company​ ​to​ ​solve​ ​their​ ​problem?  You​ ​do​ ​not​ ​have​ ​to​ ​use​ ​only​ ​Redis.​ ​Pick​ ​the​ ​best​ ​technolog  y?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Use​ ​Case​ ​:​ ​NAYA​ ​NEWS  Naya​ ​News​ ​is​ ​a​ ​very​ ​popular​ ​offline​ ​newspaper.  Recently,​ ​they​ ​launched​ ​a​ ​digital​ ​online​ ​version​ ​of​ ​their​ ​paper.​ ​Their​ ​website​ ​became​ ​an  instant​ ​hit​ ​and​ ​they​ ​are​ ​now​ ​trying​ ​to​ ​scale​ ​/​ ​improve​ ​performance.    Here​ ​are​ ​the​ ​key​ ​points:  - About​ ​80%​ ​of​ ​their​ ​visitors​ ​view​ ​the​ ​articles​ ​anonymously  - .  - 20%​ ​login​ ​and​ ​they​ ​see​ ​personalized​ ​articles.  - 5​ ​recommended​ ​articles​ ​are​ ​shown​ ​along​ ​with​ ​each​ ​article.​ ​These​ ​articles​ ​can  change​ ​every​ ​5​ ​minutes​ ​and​ ​the​ ​database​ ​query​ ​to​ ​calculate​ ​this​ ​takes​ ​3​ ​sec​ ​to  execute.    How​ ​you​ ​recommend​ ​to​ ​architect​ ​the​ ​system​ ​so​ ​that​ ​the​ ​cache​ ​can​ ​be​ ​utilized​ ​the​ ​best.        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Use​ ​Case​ ​:​ ​RESIZER  Resizer​ ​is​ ​an​ ​online​ ​image​ ​processing​ ​API.  Clients​ ​can​ ​upload​ ​images.​ ​And​ ​​Resizer​​ ​can​ ​resize​ ​the​ ​images​ ​to​ ​the​ ​desired​ ​size.​ ​Clients  pay​ ​for​ ​the​ ​services​ ​depending​ ​on​ ​the​ ​number​ ​of​ ​the​ ​API​ ​calls​ ​they​ ​make.    Resizer​ ​has​ ​3​ ​challenges:  1. How​ ​do​ ​you​ ​perform​ ​authentication​ ​and​ ​authorization​ ​at​ ​high​ ​scale?  2. How​ ​do​ ​you​ ​prevent​ ​client​ ​A,​ ​from​ ​modifying​ ​images​ ​of​ ​client​ ​B?  3. How​ ​do​ ​you​ ​rate​ ​limit​ ​free​ ​trier​ ​users,​ ​so​ ​that​ ​they​ ​do​ ​not​ ​abuse​ ​the​ ​system?  4. How​ ​do​ ​you​ ​bill​ ​users​ ​at​ ​the​ ​end​ ​of​ ​every​ ​week?    Their​ ​current​ ​situation​ ​uses​ ​MySQL,​ ​but​ ​they​ ​are​ ​now​ ​facing​ ​challenges​ ​scaling​ ​this  solution.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Use​ ​Case​ ​:​ ​mediaStream​ ​SOLUTION  mediaStream​ ​is​ ​a​ ​large​ ​video​ ​management​ ​company.   Users​ ​can​ ​upload​ ​videos,​ ​manage/convert​ ​into​ ​different​ ​resolutions/​ ​formats​ ​and​ ​share  them.    The​ ​user​ ​dashboard​ ​provides​ ​the​ ​following​ ​functionality:  - User​ ​is​ ​able​ ​to​ ​upload​ ​high​ ​resolution​ ​video.  - Select​ ​the​ ​multiple​ ​formats​ ​of​ ​conversions​ ​/​ ​​ ​transcoding​ ​the​ ​videos.  - Then,​ ​parallel​ ​background​ ​jobs​ ​gets​ ​execution​ ​for​ ​video​ ​transcoding  - User​ ​gets​ ​the​ ​real​ ​time​ ​update​ ​on​ ​the​ ​progress​ ​for​ ​transcoding​ ​jobs.  - In​ ​case​ ​of​ ​heavy​ ​demand,​ ​the​ ​job​ ​can​ ​get​ ​queued​ ​up.​ ​In​ ​such​ ​cases,​ ​the​ ​user​ ​should  get​ ​the​ ​queue​ ​status  - Additionally,​ ​the​ ​estimated​ ​remaining​ ​time,​ ​is​ ​to​ ​be​ ​provided,​ ​based​ ​on​ ​the  format​ ​and​ ​size,​ ​of​ ​the​ ​items​ ​ahead​ ​in​ ​the​ ​queue.    Currently,​ ​their​ ​solution​ ​struggle​ ​to​ ​handle​ ​huge​ ​number​ ​of​ ​transcoding​ ​jobs​ ​and​ ​provide  real​ ​time​ ​updates​ ​on​ ​the​ ​transcoding​ ​progress.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Use​ ​Case​ ​:​ ​urbanStore​ ​Problem  urbanStore​ ​is​ ​a​ ​leading​ ​clothing​ ​retail​ ​store,​ ​with​ ​1000+​ ​retail​ ​chains​ ​globally​ ​as​ ​well​ ​as​ ​an  online​ ​portal.   The​ ​key​ ​selling​ ​point​ ​is,​ ​that​ ​they​ ​keep​ ​huge​ ​variety​ ​of​ ​clothes​ ​and​ ​with​ ​limited​ ​quantity,​ ​so  that​ ​the​ ​store​ ​always​ ​has​ ​new​ ​stuff​ ​to​ ​display.    As​ ​the​ ​business​ ​is​ ​growing,​ ​they​ ​want​ ​to​ ​update​ ​their​ ​business​ ​strategy.​ ​As​ ​per​ ​the​ ​new  business​ ​needs,​ ​they​ ​wanted​ ​to​ ​handle​ ​the​ ​following​ ​real​ ​time​ ​scenarios:  - Users​ ​should​ ​be​ ​given​ ​about​ ​5​ ​recommendations​ ​based​ ​on​ ​what​ ​user​ ​is​ ​searching  online.  - The​ ​product​ ​inventory​ ​is​ ​limited​ ​and​ ​should​ ​get​ ​updated​ ​in​ ​real​ ​time.  - The​ ​new​ ​pricing​ ​model,​ ​keeps​ ​updating​ ​the​ ​prices,​ ​discounts​ ​of​ ​each​ ​time,​ ​quite  frequently,​ ​and​ ​it​ ​needs​ ​to​ ​be​ ​visible​ ​in​ ​all​ ​global​ ​retail​ ​outlets​ ​in​ ​real​ ​time.  - Manage​ ​user​ ​score​ ​-​ ​Scoring​ ​business​ ​model​ ​has​ ​been​ ​devised​ ​and​ ​they​ ​want​ ​to​ ​use  that​ ​to​ ​manage​ ​score​ ​of​ ​each​ ​user,​ ​based​ ​on​ ​his​ ​interests​ ​and​ ​purchasing​ ​habits.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
Use​ ​Case​ ​:​ ​​ ​savaari​ ​Problem  Savaari​ ​is​ ​a​ ​leading​ ​taxi​ ​booking​ ​solution​ ​provider.​ ​Using​ ​their​ ​mobile​ ​app,​ ​users​ ​can​ ​search  nearby​ ​taxis​ ​and​ ​book​ ​them.     Following​ ​are​ ​the​ ​keys​ ​features​ ​of​ ​the​ ​customer​ ​support​ ​dashboard:  - Able​ ​to​ ​identify​ ​taxis​ ​in​ ​a​ ​given​ ​location,​ ​in​ ​real​ ​time.  - Manage​ ​communication​ ​with​ ​the​ ​driver.​ ​Such​ ​as​ ​chat,​ ​accept​ ​/​ ​decline​ ​rides.  - Manage​ ​real​ ​time​ ​stats​ ​for​ ​a​ ​taxi,​ ​as​ ​in  - Current​ ​location.  - Any​ ​speed​ ​violations​ ​done​ ​by​ ​the​ ​driver.  - How​ ​many​ ​successful​ ​rides​ ​done  - Total​ ​amount​ ​of​ ​travel​ ​done,​ ​in​ ​miles​ ​and​ ​in​ ​hours.  - Overall​ ​rating​ ​and​ ​feedbacks  - Driver’s​ ​history    The​ ​current​ ​solution​ ​is​ ​struggling​ ​to​ ​scale​ ​up,​ ​as​ ​the​ ​number​ ​of​ ​taxis​ ​they​ ​are​ ​managing​ ​in  real​ ​time​ ​has​ ​increased​ ​to​ ​around​ ​12000.  Some​ ​of​ ​the​ ​other​ ​challenges​ ​are:  - Some​ ​of​ ​the​ ​drivers​ ​don’t​ ​get​ ​enough​ ​rides,​ ​while​ ​the​ ​others​ ​get.  - Real​ ​time​ ​communication​ ​with​ ​the​ ​drivers​ ​in​ ​sluggish,​ ​especially,​ ​during​ ​repeated  speed​ ​violations,​ ​has​ ​real​ ​time​ ​dashboard​ ​is​ ​not​ ​performant.  - Users​ ​are​ ​not​ ​able​ ​to​ ​find​ ​the​ ​nearby​ ​taxis​ ​quickly,​ ​as​ ​the​ ​api​ ​is​ ​performing​ ​slowly,  during​ ​peak​ ​hours.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?    ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 

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Redis Workshop for Architects - Use Cases

  • 1. Redis​ ​Workshop  for​ ​Architects    ©​ ​​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 2. Background  HashedIn​ ​organizes​ ​Redis​ ​conferences​ ​and​ ​meetups​ ​in​ ​multiple​ ​cities.​ ​These​ ​events​ ​attract  attendees​ ​from​ ​diverse​ ​backgrounds​ ​-​ ​developers,​ ​solution​ ​architects,​ ​managers,​ ​qa,  devops,​ ​system​ ​administrators,​ ​and​ ​HR/recruiters.​ ​It​ ​becomes​ ​extremely​ ​challenging​ ​to  arrange​ ​talks​ ​/​ ​presentations​ ​that​ ​cater​ ​to​ ​such​ ​a​ ​diverse​ ​audience.    Additionally,​ ​we​ ​realized​ ​attendees​ ​gained​ ​the​ ​most​ ​from​ ​the​ ​event​ ​when​ ​they​ ​were​ ​forced  to​ ​think​ ​and​ ​apply​ ​their​ ​knowledge.​ ​Active​ ​participation​ ​always​ ​trumped​ ​over​ ​passive​ ​talks  and​ ​presentations.     These​ ​two​ ​insights​ ​led​ ​us​ ​to​ ​architectural​ ​group​ ​discussions,​ ​with​ ​some​ ​guidance​ ​from​ ​a  knowledgeable​ ​moderator.  Architectural​ ​Group​ ​Discussions  Format The​ ​format​ ​is​ ​fairly​ ​simple,​ ​and​ ​works​ ​like​ ​this: 1. Divide​ ​the​ ​audience​ ​into​ ​even​ ​number​ ​of​ ​groups.​ ​Ideally,​ ​six​ ​groups​ ​of​ ​about​ ​6-8​ ​people work​ ​the​ ​best.​ ​You​ ​can​ ​scale​ ​up​ ​and​ ​down​ ​a​ ​bit. 2. Give​ ​two​ ​groups​ ​the​ ​same​ ​case​ ​study.​ ​So​ ​if​ ​you​ ​have​ ​6​ ​groups​ ​in​ ​total,​ ​you​ ​need​ ​3​ ​case studies.​ ​Group​ ​1​ ​and​ ​2​ ​work​ ​on​ ​use​ ​case​ ​A,​ ​Groups​ ​3​ ​and​ ​4​ ​on​ ​use​ ​case​ ​B​ ​and​ ​so​ ​on. 3. Give​ ​the​ ​groups​ ​about​ ​20​ ​minutes​ ​to​ ​discuss​ ​the​ ​solution​ ​for​ ​the​ ​problem. 4. After​ ​20​ ​minutes,​ ​you​ ​start​ ​the​ ​presentations 5. First,​ ​moderator​ ​explains​ ​use​ ​case​ ​A​ ​so​ ​that​ ​groups​ ​3​ ​through​ ​6​ ​understand​ ​it 6. Then​ ​Group​ ​1​ ​presents​ ​their​ ​solution,​ ​followed​ ​by​ ​Group​ ​2.​ ​In​ ​this​ ​way,​ ​you​ ​have potentially​ ​two​ ​different​ ​solutions​ ​presented 7. After​ ​this,​ ​the​ ​moderator​ ​intervenes​ ​and​ ​asks​ ​questions.​ ​At​ ​this​ ​point,​ ​the​ ​larger audience​ ​can​ ​also​ ​interject​ ​and​ ​share​ ​their​ ​thoughts 8. Finally,​ ​the​ ​moderator​ ​summarizes​ ​the​ ​entire​ ​discussion. 9. Repeat​ ​for​ ​other​ ​2​ ​use​ ​cases​ ​with​ ​the​ ​remaining​ ​groups Instructions​ ​to​ ​Participants 1. You​ ​have​ ​20​ ​minutes​ ​to​ ​discuss​ ​the​ ​solution,​ ​and​ ​2​ ​minutes​ ​to​ ​present​ ​your​ ​solution​ ​at the​ ​end.​ ​The​ ​presentation​ ​is​ ​verbal,​ ​no​ ​slides. 2. Choose​ ​the​ ​best​ ​technology​ ​for​ ​the​ ​job,​ ​don’t​ ​be​ ​limited​ ​to​ ​just​ ​Redis 3. Some​ ​requirements​ ​may​ ​not​ ​be​ ​clear.​ ​Use​ ​your​ ​judgement,​ ​make​ ​some​ ​assumptions, and​ ​build​ ​your​ ​solutions​ ​on​ ​the​ ​basis​ ​of​ ​those​ ​assumptions ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 3. 4. Choose​ ​one​ ​person​ ​from​ ​your​ ​group​ ​as​ ​the​ ​presenter.​ ​The​ ​presenter​ ​will​ ​summarize​ ​the solution​ ​and​ ​present​ ​it​ ​to​ ​the​ ​larger​ ​audience​ ​at​ ​the​ ​end. Instructions​ ​for​ ​Moderator 1. This​ ​group​ ​discussion​ ​is​ ​purposefully​ ​open​ ​ended.​ ​You​ ​can​ ​never​ ​be​ ​sure​ ​of​ ​the questions​ ​participants​ ​ask,​ ​or​ ​the​ ​solutions​ ​they​ ​present.​ ​Therefore,​ ​you​ ​really​ ​must​ ​have deep​ ​knowledge​ ​to​ ​be​ ​able​ ​to​ ​moderate​ ​successfully 2. It​ ​is​ ​important​ ​to​ ​create​ ​groups​ ​randomly.​ ​In​ ​particular,​ ​participants​ ​from​ ​the​ ​same company​ ​/​ ​similar​ ​backgrounds​ ​should​ ​be​ ​in​ ​different​ ​teams.​ ​In​ ​our​ ​conferences,​ ​we​ ​print participant​ ​lanyards​ ​/​ ​badges​ ​in​ ​6​ ​different​ ​colours,​ ​and​ ​this​ ​determines​ ​the​ ​group​ ​you belong​ ​to. 3. While​ ​the​ ​group​ ​discusses​ ​the​ ​solution,​ ​go​ ​around​ ​and​ ​speak​ ​to​ ​each​ ​team.​ ​Clarify​ ​the use​ ​cases,​ ​and​ ​help​ ​them​ ​in​ ​making​ ​assumptions​ ​on​ ​the​ ​requirements.​ ​But​ ​do​ ​not influence​ ​their​ ​solution,​ ​even​ ​if​ ​you​ ​know​ ​they​ ​are​ ​obviously​ ​wrong. 4. When​ ​teams​ ​present​ ​their​ ​solutions​ ​-​ ​maintain​ ​your​ ​private​ ​notes​ ​on​ ​the​ ​key technologies​ ​/​ ​decisions​ ​that​ ​are​ ​being​ ​presented. 5. After​ ​both​ ​teams​ ​have​ ​presented,​ ​summarize​ ​both​ ​their​ ​solutions.​ ​Contrast​ ​the technologies/approaches​ ​that​ ​are​ ​different​ ​between​ ​the​ ​teams.​ ​Bring​ ​to​ ​attention particular​ ​approaches​ ​you​ ​disagree​ ​with 6. Then​ ​open​ ​up​ ​to​ ​the​ ​audience​ ​by​ ​asking​ ​pointed​ ​questions: a. Is​ ​Kafka​ ​a​ ​good​ ​choice​ ​for​ ​running​ ​background​ ​jobs? b. Do​ ​you​ ​think​ ​you​ ​should​ ​use​ ​sorted​ ​sets​ ​for​ ​storing​ ​frequently​ ​visited​ ​articles? 7. As​ ​much​ ​as​ ​possible,​ ​let​ ​the​ ​two​ ​teams​ ​and​ ​the​ ​audience​ ​arrive​ ​at​ ​a​ ​solution 8. Finally​ ​though,​ ​intervene​ ​and​ ​summarize​ ​the​ ​conversation​ ​: a. For​ ​obviously​ ​wrong​ ​choices,​ ​explain​ ​why​ ​it​ ​is​ ​wrong​ ​and​ ​suggest​ ​a​ ​better approach b. For​ ​use​ ​cases​ ​that​ ​can​ ​be​ ​solved​ ​in​ ​multiple​ ​ways,​ ​explain​ ​the​ ​pros​ ​and​ ​cons​ ​of each​ ​approach,​ ​and​ ​suggest​ ​under​ ​what​ ​circumstances​ ​one​ ​solution​ ​works​ ​better than​ ​the​ ​other c. For​ ​solutions​ ​that​ ​were​ ​correct​ ​-​ ​acknowledge​ ​the​ ​solution​ ​and​ ​give​ ​credit​ ​to​ ​the teams 9. There​ ​will​ ​be​ ​distractions,​ ​people​ ​will​ ​ask​ ​tangential​ ​questions​ ​not​ ​related​ ​to​ ​the​ ​use case.​ ​Use​ ​your​ ​judgement​ ​-​ ​if​ ​the​ ​question​ ​is​ ​relevant​ ​to​ ​the​ ​larger​ ​audience,​ ​answer​ ​it.​ ​If it​ ​is​ ​very​ ​specific,​ ​discuss​ ​the​ ​question​ ​later​ ​with​ ​the​ ​individual.       ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 4. Use​ ​Case​ ​:​ ​MONITRON  A​ ​monitoring​ ​company​ ​has​ ​deployed​ ​thousands​ ​of​ ​sensors​ ​across​ ​the​ ​country.​ ​These  sensors​ ​monitor​ ​heavy​ ​machinery​ ​and​ ​constantly​ ​capture​ ​the​ ​following​ ​data:  - GPS​ ​locations​ ​-​ ​latitudes​ ​/​ ​longitudes  - Temperature  - Vibration  - Signal​ ​Strength  - 20​ ​optional​ ​parameters,​ ​values​ ​​ ​between​ ​0.0​ ​to​ ​100.0​ ​double​ ​precision    These​ ​data​ ​are​ ​sent​ ​over​ ​HTTP​ ​to​ ​a​ ​central​ ​location​ ​and​ ​are​ ​then​ ​written​ ​to​ ​a​ ​relation  database.  The​ ​relation​ ​database​ ​is​ ​now​ ​under​ ​heavy​ ​load​ ​and​ ​we​ ​are​ ​now​ ​losing​ ​the​ ​metrics.    Additionally,​ ​the​ ​management​ ​wants​ ​a​ ​operational​ ​dashboard​ ​that​ ​shows​ ​the​ ​latest​ ​values  for​ ​each​ ​sensor​ ​in​ ​a​ ​fast​ ​and​ ​efficient​ ​manner.    As​ ​a​ ​consultant,​ ​how​ ​can​ ​you​ ​help​ ​this​ ​monitoring​ ​company​ ​to​ ​solve​ ​their​ ​problem?  You​ ​do​ ​not​ ​have​ ​to​ ​use​ ​only​ ​Redis.​ ​Pick​ ​the​ ​best​ ​technolog  y?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 5. Use​ ​Case​ ​:​ ​NAYA​ ​NEWS  Naya​ ​News​ ​is​ ​a​ ​very​ ​popular​ ​offline​ ​newspaper.  Recently,​ ​they​ ​launched​ ​a​ ​digital​ ​online​ ​version​ ​of​ ​their​ ​paper.​ ​Their​ ​website​ ​became​ ​an  instant​ ​hit​ ​and​ ​they​ ​are​ ​now​ ​trying​ ​to​ ​scale​ ​/​ ​improve​ ​performance.    Here​ ​are​ ​the​ ​key​ ​points:  - About​ ​80%​ ​of​ ​their​ ​visitors​ ​view​ ​the​ ​articles​ ​anonymously  - .  - 20%​ ​login​ ​and​ ​they​ ​see​ ​personalized​ ​articles.  - 5​ ​recommended​ ​articles​ ​are​ ​shown​ ​along​ ​with​ ​each​ ​article.​ ​These​ ​articles​ ​can  change​ ​every​ ​5​ ​minutes​ ​and​ ​the​ ​database​ ​query​ ​to​ ​calculate​ ​this​ ​takes​ ​3​ ​sec​ ​to  execute.    How​ ​you​ ​recommend​ ​to​ ​architect​ ​the​ ​system​ ​so​ ​that​ ​the​ ​cache​ ​can​ ​be​ ​utilized​ ​the​ ​best.        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 6. Use​ ​Case​ ​:​ ​RESIZER  Resizer​ ​is​ ​an​ ​online​ ​image​ ​processing​ ​API.  Clients​ ​can​ ​upload​ ​images.​ ​And​ ​​Resizer​​ ​can​ ​resize​ ​the​ ​images​ ​to​ ​the​ ​desired​ ​size.​ ​Clients  pay​ ​for​ ​the​ ​services​ ​depending​ ​on​ ​the​ ​number​ ​of​ ​the​ ​API​ ​calls​ ​they​ ​make.    Resizer​ ​has​ ​3​ ​challenges:  1. How​ ​do​ ​you​ ​perform​ ​authentication​ ​and​ ​authorization​ ​at​ ​high​ ​scale?  2. How​ ​do​ ​you​ ​prevent​ ​client​ ​A,​ ​from​ ​modifying​ ​images​ ​of​ ​client​ ​B?  3. How​ ​do​ ​you​ ​rate​ ​limit​ ​free​ ​trier​ ​users,​ ​so​ ​that​ ​they​ ​do​ ​not​ ​abuse​ ​the​ ​system?  4. How​ ​do​ ​you​ ​bill​ ​users​ ​at​ ​the​ ​end​ ​of​ ​every​ ​week?    Their​ ​current​ ​situation​ ​uses​ ​MySQL,​ ​but​ ​they​ ​are​ ​now​ ​facing​ ​challenges​ ​scaling​ ​this  solution.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 7. Use​ ​Case​ ​:​ ​mediaStream​ ​SOLUTION  mediaStream​ ​is​ ​a​ ​large​ ​video​ ​management​ ​company.   Users​ ​can​ ​upload​ ​videos,​ ​manage/convert​ ​into​ ​different​ ​resolutions/​ ​formats​ ​and​ ​share  them.    The​ ​user​ ​dashboard​ ​provides​ ​the​ ​following​ ​functionality:  - User​ ​is​ ​able​ ​to​ ​upload​ ​high​ ​resolution​ ​video.  - Select​ ​the​ ​multiple​ ​formats​ ​of​ ​conversions​ ​/​ ​​ ​transcoding​ ​the​ ​videos.  - Then,​ ​parallel​ ​background​ ​jobs​ ​gets​ ​execution​ ​for​ ​video​ ​transcoding  - User​ ​gets​ ​the​ ​real​ ​time​ ​update​ ​on​ ​the​ ​progress​ ​for​ ​transcoding​ ​jobs.  - In​ ​case​ ​of​ ​heavy​ ​demand,​ ​the​ ​job​ ​can​ ​get​ ​queued​ ​up.​ ​In​ ​such​ ​cases,​ ​the​ ​user​ ​should  get​ ​the​ ​queue​ ​status  - Additionally,​ ​the​ ​estimated​ ​remaining​ ​time,​ ​is​ ​to​ ​be​ ​provided,​ ​based​ ​on​ ​the  format​ ​and​ ​size,​ ​of​ ​the​ ​items​ ​ahead​ ​in​ ​the​ ​queue.    Currently,​ ​their​ ​solution​ ​struggle​ ​to​ ​handle​ ​huge​ ​number​ ​of​ ​transcoding​ ​jobs​ ​and​ ​provide  real​ ​time​ ​updates​ ​on​ ​the​ ​transcoding​ ​progress.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 8. Use​ ​Case​ ​:​ ​urbanStore​ ​Problem  urbanStore​ ​is​ ​a​ ​leading​ ​clothing​ ​retail​ ​store,​ ​with​ ​1000+​ ​retail​ ​chains​ ​globally​ ​as​ ​well​ ​as​ ​an  online​ ​portal.   The​ ​key​ ​selling​ ​point​ ​is,​ ​that​ ​they​ ​keep​ ​huge​ ​variety​ ​of​ ​clothes​ ​and​ ​with​ ​limited​ ​quantity,​ ​so  that​ ​the​ ​store​ ​always​ ​has​ ​new​ ​stuff​ ​to​ ​display.    As​ ​the​ ​business​ ​is​ ​growing,​ ​they​ ​want​ ​to​ ​update​ ​their​ ​business​ ​strategy.​ ​As​ ​per​ ​the​ ​new  business​ ​needs,​ ​they​ ​wanted​ ​to​ ​handle​ ​the​ ​following​ ​real​ ​time​ ​scenarios:  - Users​ ​should​ ​be​ ​given​ ​about​ ​5​ ​recommendations​ ​based​ ​on​ ​what​ ​user​ ​is​ ​searching  online.  - The​ ​product​ ​inventory​ ​is​ ​limited​ ​and​ ​should​ ​get​ ​updated​ ​in​ ​real​ ​time.  - The​ ​new​ ​pricing​ ​model,​ ​keeps​ ​updating​ ​the​ ​prices,​ ​discounts​ ​of​ ​each​ ​time,​ ​quite  frequently,​ ​and​ ​it​ ​needs​ ​to​ ​be​ ​visible​ ​in​ ​all​ ​global​ ​retail​ ​outlets​ ​in​ ​real​ ​time.  - Manage​ ​user​ ​score​ ​-​ ​Scoring​ ​business​ ​model​ ​has​ ​been​ ​devised​ ​and​ ​they​ ​want​ ​to​ ​use  that​ ​to​ ​manage​ ​score​ ​of​ ​each​ ​user,​ ​based​ ​on​ ​his​ ​interests​ ​and​ ​purchasing​ ​habits.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?        ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd. 
  • 9. Use​ ​Case​ ​:​ ​​ ​savaari​ ​Problem  Savaari​ ​is​ ​a​ ​leading​ ​taxi​ ​booking​ ​solution​ ​provider.​ ​Using​ ​their​ ​mobile​ ​app,​ ​users​ ​can​ ​search  nearby​ ​taxis​ ​and​ ​book​ ​them.     Following​ ​are​ ​the​ ​keys​ ​features​ ​of​ ​the​ ​customer​ ​support​ ​dashboard:  - Able​ ​to​ ​identify​ ​taxis​ ​in​ ​a​ ​given​ ​location,​ ​in​ ​real​ ​time.  - Manage​ ​communication​ ​with​ ​the​ ​driver.​ ​Such​ ​as​ ​chat,​ ​accept​ ​/​ ​decline​ ​rides.  - Manage​ ​real​ ​time​ ​stats​ ​for​ ​a​ ​taxi,​ ​as​ ​in  - Current​ ​location.  - Any​ ​speed​ ​violations​ ​done​ ​by​ ​the​ ​driver.  - How​ ​many​ ​successful​ ​rides​ ​done  - Total​ ​amount​ ​of​ ​travel​ ​done,​ ​in​ ​miles​ ​and​ ​in​ ​hours.  - Overall​ ​rating​ ​and​ ​feedbacks  - Driver’s​ ​history    The​ ​current​ ​solution​ ​is​ ​struggling​ ​to​ ​scale​ ​up,​ ​as​ ​the​ ​number​ ​of​ ​taxis​ ​they​ ​are​ ​managing​ ​in  real​ ​time​ ​has​ ​increased​ ​to​ ​around​ ​12000.  Some​ ​of​ ​the​ ​other​ ​challenges​ ​are:  - Some​ ​of​ ​the​ ​drivers​ ​don’t​ ​get​ ​enough​ ​rides,​ ​while​ ​the​ ​others​ ​get.  - Real​ ​time​ ​communication​ ​with​ ​the​ ​drivers​ ​in​ ​sluggish,​ ​especially,​ ​during​ ​repeated  speed​ ​violations,​ ​has​ ​real​ ​time​ ​dashboard​ ​is​ ​not​ ​performant.  - Users​ ​are​ ​not​ ​able​ ​to​ ​find​ ​the​ ​nearby​ ​taxis​ ​quickly,​ ​as​ ​the​ ​api​ ​is​ ​performing​ ​slowly,  during​ ​peak​ ​hours.    Can​ ​you​ ​help​ ​them​ ​architect​ ​this​ ​solution?    ©​ ​2017​ ​HashedIn​ ​Technologies​ ​Pvt.​ ​Ltd.