BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//HasGeek//NONSGML Funnel//EN
DESCRIPTION:Practical case studies\, experience reports and tooling use ca
 ses from startups and enterprises
X-WR-CALDESC:Practical case studies\, experience reports and tooling use c
 ases from startups and enterprises
NAME:Cloud Costs Optimization
X-WR-CALNAME:Cloud Costs Optimization
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Cloud Costs Optimization
TIMEZONE-ID:Asia/Kolkata
X-PUBLISHED-TTL:PT12H
X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:Check-in\; on the spot registrations
DTSTART:20230728T064000Z
DTEND:20230728T070000Z
DTSTAMP:20260421T083532Z
UID:session/8i5UUzGv8dMtxkNYyhYbBp@hasgeek.com
SEQUENCE:3
CREATED:20230725T093403Z
LAST-MODIFIED:20230725T112755Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Check-in\; on the spot registrations in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Introduction
DTSTART:20230728T070000Z
DTEND:20230728T071500Z
DTSTAMP:20260421T083532Z
UID:session/CJwcHN43DCGn1YE6ioU3cJ@hasgeek.com
SEQUENCE:0
CREATED:20230704T144646Z
LAST-MODIFIED:20230704T144646Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Introduction in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Flipkart's hybrid cloud infrastructure strategy for optimal cost e
 fficiency and business agility
DTSTART:20230728T071500Z
DTEND:20230728T074500Z
DTSTAMP:20260421T083532Z
UID:session/7fovzacbg1igbkuY2fU9iE@hasgeek.com
SEQUENCE:6
CATEGORIES:Talk is scheduled,Confirmed
CREATED:20230724T034841Z
DESCRIPTION:Over the years\, Flipkart has successfully operated a private 
 cloud infrastructure consisting of millions of cores across multiple regio
 ns. However\, the fluctuating compute requirements of 2x to 10x during maj
 or sale events such as "Big Billion Days\," "Independence Day\," and "Repu
 blic Day" often result in excessive underutilization of the infrastructure
  outside of these peak periods. While public cloud infrastructure offers f
 lexible capacity and streamlined integration with managed services\, its h
 igher cost compared to private cloud infrastructure poses a challenge.\n\n
 To address this challenge\, Flipkart is embarking on a journey towards a h
 ybrid cloud model. This approach aims to leverage the strengths of both pu
 blic and private clouds\, enabling Flipkart to optimize costs and enhance 
 business agility. In this talk\, we will talk about the specifics of Flipk
 art's hybrid cloud strategy\, highlighting the optimizations implemented a
 cross both private and public cloud environments.\n\n\n**Presentation Outl
 ine:**\n* Introduction to Flipkart: Business Overview and Infrastructure R
 equirements\n* Understanding the advantages and disadvantages of private\,
  public\, and hybrid cloud models.\n* Overview of Flipkart's decision to a
 dopt a hybrid cloud approach.\n* Building Blocks for Enabling Hybrid Cloud
  Applications\n* Private Cloud Optimizations - storage\, compute\, and man
 aged services\n* Public Cloud Optimizations for Big Data Workloads\n* Miti
 gating Risks in the Hybrid Cloud Environment\n* Conclusion and Key Takeawa
 ys\n* Questions & Answers\n
LAST-MODIFIED:20230810T143034Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/flipkar
 ts-hybrid-cloud-infrastructure-strategy-for-optimal-cost-efficiency-and-bu
 siness-agility-7fovzacbg1igbkuY2fU9iE
BEGIN:VALARM
ACTION:display
DESCRIPTION:Flipkart's hybrid cloud infrastructure strategy for optimal co
 st efficiency and business agility in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Maximizing cloud efficiency: Ozonetel's experience with AWS cloud 
 cost optimization
DTSTART:20230728T074500Z
DTEND:20230728T081500Z
DTSTAMP:20260421T083532Z
UID:session/Kkz6K3X4qP1zJpDDCNCwBi@hasgeek.com
SEQUENCE:4
CATEGORIES:Talk is scheduled,Confirmed
CREATED:20230724T035112Z
DESCRIPTION:Ozonetel is a pioneering company at the forefront of the cloud
  communications industry. With a commitment to delivering cutting-edge sol
 utions\, Ozonetel has revolutionized the way businesses communicate\, coll
 aborate\, and connect with their customers. We have a Substantial client b
 ase of 2500+ customers and foster a culture that encourages experimentatio
 n\, collaboration\, and the freedom to fail and learn. Having a huge custo
 mer base often comes with the challenge of managing unpredictable workload
 s. As the number of customers increases\, so does the variability in their
  demands\, which can put a strain on resources and operational efficiency.
  However\, with the right strategies and tools in place\, we manage these 
 fluctuations and ensure a seamless customer experience. Also\, managing un
 predictable workloads on AWS requires a comprehensive approach to cost opt
 imization. By leveraging right tools\, we managed to strike the right bala
 nce between meeting workload demands and controlling costs.\n \n\nIntroduc
 tion:\n\n1.	Our journey of Setting up a local data center.\n2. Understandi
 ng the need of Migrating from a local data center to AWS.\n3. Leveraging t
 he power of cloud technology.\n5. Challenges of managing fluctuating compu
 ting requirements.\n6. Achieving operational excellence.\n7. Optimizing co
 sts while ensuring optimal performance and customer satisfaction.\n\n   \n
 Takeaway for Audience\n\n1.	Leverage AWS Well-Architected Framework\n2. Le
 verage AWS cost management tools and services\n3. Continuous optimization 
 though data analysis\n4. Right-Sizing and Resource Optimization\n5. Embrac
 e a Culture of Cost Optimization\n6. Take Advantage of Cost Optimization S
 trategies:\n7.	Continuous Monitoring and Governance\n8. Align Cost optimiz
 ation with business goals\n\n\n
LAST-MODIFIED:20230822T110840Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/maximiz
 ing-cloud-efficiency-ozonetels-expertise-in-aws-cloud-cost-optimization-Kk
 z6K3X4qP1zJpDDCNCwBi
BEGIN:VALARM
ACTION:display
DESCRIPTION:Maximizing cloud efficiency: Ozonetel's experience with AWS cl
 oud cost optimization in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Unleashing cost optimization : Freshworks' journey from start-up t
 o scale
DTSTART:20230728T081500Z
DTEND:20230728T084500Z
DTSTAMP:20260421T083532Z
UID:session/D3fa5bPcwcWuw9R7S4hPdj@hasgeek.com
SEQUENCE:5
CATEGORIES:Talk is scheduled,Confirmed
CREATED:20230724T035306Z
DESCRIPTION:Introduction\n\nIn this talk\, we will delve into the fascinat
 ing realm of cost optimization and walk through the journey of Freshworks 
 as it scales its operations. We will cover various strategies and techniqu
 es employed to optimize costs at each stage of growth\, from the early sta
 rtup phase to achieving scale and efficiency.\n\nGrowth Phase : Startup to
  Scale\n\nAs Freshworks started growing\, we encountered the need for arch
 itectural transformations to accommodate increasing demands. We will discu
 ss our tech stack evolution from a single product to a blue-green deployme
 nt approach\, highlighting the architectural changes made at each stage an
 d the driving factors behind them. These architectural changes brought abo
 ut a substantial impact on our overall cost structure\, necessitating the 
 need for effective cost optimization strategies.\n\nTo achieve cost optimi
 zation\, we implemented several techniques\, including booting up instance
 s in stages\, partial shutdown of instances\, and adopting time-based inst
 ances that align resource allocation with workload demands. Additionally\,
  we will deep dive into our Reserved Instance (RI) coverage strategy\, whi
 ch enables significant cost savings.\n\nNavigating the Transition Phase : 
 Agile Solutions\n\nAs the products scaled\, gaining visibility into cost a
 llocation became crucial. We will share insights on how we tagged resource
 s to track cost distribution and implemented Cloud Custodian policies to i
 dentify and manage unused resources in lower environments. Furthermore\, w
 e will discuss our successful adoption of spot instances\, leveraging thei
 r cost benefits.\n\nInfrastructure Improvements : Best Practices and Strat
 egies\n\nMigration from Opsworks to Kubernetes played a pivotal role in op
 timizing compute costs. We will discuss the cost savings achieved through 
 this transition and elaborate on our data transfer cost optimization effor
 ts\, including the use of VPC endpoints and interface endpoints for AWS se
 rvices. Preventing inter-Availability Zone data transfer and rectifying fa
 ulty VPC configurations further contributed to substantial cost reductions
 . Moreover\, we will share how intelligent routing and inter-product/platf
 orm communication optimization techniques minimized data transfer costs.\n
 \nWe will deep dive into our log optimization strategies\, including enabl
 ing compression on log shipping agents and implementing retention policies
  for logs stored in CloudWatch and S3. Additionally\, we will discuss VPC 
 flow logs optimization\, highlighting the learnings from custom formatting
 \, dropping unnecessary fields\, and the Parquet conversion process.\n\nEB
 S optimization techniques such as migrating from GP2 to GP3\, right-sizing
  volume sizes\, and configuring IOPS settings will be examined. Furthermor
 e\, we will discuss how Keda autoscaling and resource optimization in Kube
 rnetes and RDS improved efficiency and cost effectiveness.\n\nCost Control
  and Proactive Monitoring\n\nProactive monitoring played a vital role in c
 ost optimization. We will share insights on how we have tailored our optim
 izations by automating processes for lower environments and implementing t
 argeted alerts for production. We will also deep dive into how lambda func
 tions are implemented alongside our Cloud Custodian policies\, and how we 
 harness the capabilities of tools like Mailer to deliver notifications via
  SNS\, email\, or Slack.\n\nWe will also share insights on how we set up a
 lerts for cost anomalies and budget utilization\, leveraged AWS Cost Explo
 rer for insights and debugging cost anomalies\, and utilized Power BI dash
 boards to gain comprehensive visibility into cost trends. Regular architec
 tural reviews became a cornerstone of our cost optimization process.\n\nLo
 oking Ahead : Future Initiatives\n\nWe will discuss potential future initi
 atives\, including the adoption of SQS long polling\, exploration of Gravi
 ton and Intel instances for enhanced performance and cost benefits\, and t
 he implementation of a cell-based architecture to optimize communication w
 ithin Availability Zones. Additionally\, we will explore the automation of
  resource rightsizing as a focus area for further improvement and consider
  spot instance adoption in production environments.\n\n\nIn conclusion\, t
 his talk will provide valuable insights into the cost optimization journey
  of Freshworks\, highlighting strategies\, techniques\, and lessons learne
 d as we transitioned from startup to scale.\n\nDraft Document : https://do
 cs.google.com/document/d/1-8ZxHUkiitSRXaxL_wBBsGFmJSEzzH-Cf8YGWKolG5Y/edit
 ?usp=sharing\n\nDraft Presentation (In Progress) : https://docs.google.com
 /presentation/d/1CYyFzRzTp_8hNz_pV6-DN4L4al_hJ5VJaQG9yKvJo6w/edit?usp=shar
 ing
LAST-MODIFIED:20230808T043526Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/unleash
 ing-cost-optimization-freshworks-journey-from-startup-to-scale-D3fa5bPcwcW
 uw9R7S4hPdj
BEGIN:VALARM
ACTION:display
DESCRIPTION:Unleashing cost optimization : Freshworks' journey from start-
 up to scale in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q/A Session
DTSTART:20230728T084500Z
DTEND:20230728T090000Z
DTSTAMP:20260421T083532Z
UID:session/2StFyHmt938zKqpKzYfyNL@hasgeek.com
SEQUENCE:0
CREATED:20230704T103044Z
LAST-MODIFIED:20230704T103044Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Q/A Session in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Break
DTSTART:20230728T090000Z
DTEND:20230728T091500Z
DTSTAMP:20260421T083532Z
UID:session/A8R9MSnezbdTxpBDTfs4b3@hasgeek.com
SEQUENCE:0
CREATED:20230704T103059Z
LAST-MODIFIED:20230704T103059Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Break in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Everybody loves cloud cost savings - experiences from the trenches
  at Rubrik
DTSTART:20230728T091500Z
DTEND:20230728T094500Z
DTSTAMP:20260421T083532Z
UID:session/JZTcynHAgT5JJMaP2V3Pzo@hasgeek.com
SEQUENCE:6
CATEGORIES:Talk is scheduled,Shortlisted
CREATED:20230724T035417Z
DESCRIPTION:CTO: “Reduce cloud costs now !”\nMe: “How much ? When ? 
 What about my OKRs ?”\n\nSound familiar ? If you nodded & smiled\, you a
 re yet another tech leader / senior engineer juggling yet another business
  goal. Being cost-effective while serving a growing business is hard\, and
  raises multiple questions - especially if you are a platform used by mult
 iple functional teams:\n“What do I optimize ? Whom do I make unhappy ? H
 ow much time do I spend on cost optimization ?”\n\nLive almost everythin
 g else\, cost questions too can be addressed via focus on usage & ROI - su
 pported by a mix of tools\, analyses\, process changes and some code fixes
  too !\n\nIn this brief-ish talk\, we’ll look at how these challenges we
 re addressed against our data services & platform:\n* by a team of 5 engin
 eers\, over a short period of 3 months\n* and achieved 30% immediate & sus
 tainable cost savings\n  \n(PS: lets’ not forget the lessons learnt - wh
 at worked ? what didn’t ?)\n
LAST-MODIFIED:20230828T125756Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/everybo
 dy-loves-cloud-cost-savings-experiences-from-the-trenches-at-rubrik-JZTcyn
 HAgT5JJMaP2V3Pzo
BEGIN:VALARM
ACTION:display
DESCRIPTION:Everybody loves cloud cost savings - experiences from the tren
 ches at Rubrik in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Journey of AWS cost optimization
DTSTART:20230728T094500Z
DTEND:20230728T101500Z
DTSTAMP:20260421T083532Z
UID:session/CuFKtcP41sjGfJSDcsTnTE@hasgeek.com
SEQUENCE:4
CATEGORIES:Talk is scheduled,Confirmed
CREATED:20230724T035523Z
DESCRIPTION:\n## Background\n\nThe client is a platform which enables the 
 Shopify store owners to launch mobile apps with Shopify as the backend. Th
 e company saw rapid growth from its early days than the design and archite
 cture could catch up. The founding team did a great job on the backend and
  the frontend side however lacked the expertise in the cloud infrastructur
 e side. Things were in great shape until Covid-19 happened. E-commerce wor
 ldwide took a hit along with the revenue. \nIf revenue doesn’t grow heal
 thily\, naturally expenses have to be controlled and for any organization 
 for which software is a major part\, cloud infrastructure costs are one of
  the major expenses.       \nWe helped such a client to **bring the AWS co
 sts down by 41% (from $24\,653 to $14\,356 per month)** over a period of 6
  months while launching new features/services. \n\n\n## Time needed for th
 e talk\n20 mins\n\n## Takeaway (from audience’s perspective)\nAudience w
 ill learn about the journey of cost optimization and how it’s not just a
  responsibility of the DevOps team. Cost optimization is a continuous proc
 ess and primarily depends on the system architecture. \n\nThey will learn 
 about the pragmatic approach we took to reduce the costs. \n- Start with l
 owest hanging fruits to get the momentum going.\n- Then focus on the highe
 st expenses but be aware of the change that needs to be done. Downgrading 
 DB saves a lot but needs careful planning.\n- Use the techniques at hand (
 Bash scripts/Spreadsheet) to collect data such as CPU/Memory to make infor
 med decisions about proposed changes.\n- Think of cost as an engineering p
 roblem. Bring visibility into cost allocation and set up continuous proact
 ive monitoring and alerting.\n\n\n\n\n\n## Talk about the implementation d
 etails\n\n- 1 dedicated SRE. Helped with operations as well as cost reduct
 ion activities.\n- We did an initial analysis of the cost explorer to figu
 re out the primary aws services responsible for cost. We found them to be 
 Compute\, RDS and Data Transfer.\n- For compute\n    - Removed numerous un
 attached EBS volumes due to terminated instances\, saving $2k/month. Also\
 , identified the root cause and refined the process for creating new insta
 nces.\n    - FIlter down EC2 instances which had low CPU utilization on Cl
 oudwatch. Then set up a simple memory monitoring script to write data into
  csv locally. Copy the data into a spreadsheet and then share with the eng
 ineering team. Suggest the alternate instance types for better utilization
  based on the CPU and Memory data.\n    - **For downgrading VMs we used ze
 ro downtime strategies for migration.**\n- For RDS\n    - Existing RDS whi
 ch were over provisioned for handling CPU spikes\, we enabled slow query l
 ogs and shared the insights with the dev team for optimizing the queries. 
  \n    - We downsized RDS instance types using a blue-green deployment str
 ategy so that there’s no business impact to users.\n    - We also renego
 tiated Reserved Instances plans due to the change in the instance types.\n
     - **Overall cost reduction for RDS was 56%.**\n- For DataTransfer char
 ges\n    - We analyzed the cost for intra region data transfer using VPC f
 low logs and moved the highest chatting resources in the zone.\n    - We a
 lso found out that there was a duplication of job processing for backgroun
 d workers. We worked with the dev team to identify the duplicate jobs and 
 stopped them.\n    - We also implemented VPC endpoints for Opensearch ther
 eby saving data transfer costs.\n    - **Overall cost reduction for the Da
 ta transfer costs was 90%**\nFor cloud governance\, \n- We streamlined the
  IAM access via groups and policies and ensured no direct permissions are 
 assigned to any AWS user.\n- We set billing alerts and cost anomaly alerts
  for important AWS services\n- We tagged all the important resources using
  labels which are understood by the team.\n\n\n## Notes for the reviewers\
 nWe will include the screenshots of the cost explorer and other graphs whe
 re we show before and after the optimizations done in the slides.\n\n\n## 
 About me\nI am Sitaram.    \nI come from fullstack engineering before movi
 ng into SRE so I feel comfortable talking about systems inside and out.   
   \nBlog: [sitaram.substack.com](https://sitaram.substack.com)    \nTwitte
 r: [sitaramshelke](https://twitter.com/sitaramshelke)     \nPast talks: [J
 ourney into Observability](https://drive.google.com/drive/folders/1QNK6egQ
 55DekLD3uJlC8Vfbgl-1UfROI) (Presented internally to my colleagues - Slides
 /Video available)
LAST-MODIFIED:20230817T084432Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/journey
 -of-aws-cost-optimization-CuFKtcP41sjGfJSDcsTnTE
BEGIN:VALARM
ACTION:display
DESCRIPTION:Journey of AWS cost optimization in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:How we cut cloud costs at IDfy and slept well at night.
DTSTART:20230728T101500Z
DTEND:20230728T104500Z
DTSTAMP:20260421T083532Z
UID:session/BSboQfLAM5hKkbGXXz2toj@hasgeek.com
SEQUENCE:4
CATEGORIES:Rehearsal pending,Shortlisted
CREATED:20230724T035637Z
DESCRIPTION:## Background \n\n### About IDfy\n\nIDfy is a leader in the di
 gital onboarding and verification space. \nWe enable our customers to seam
 lessly onboard employees\, customers\, vendors\, users and more while prev
 enting fraud at the same time.\nWe are a 80 member tech team which contrib
 ute to multiple products on the platform. \n\n### About our Tech Platform\
 n\nWe \n- are multi-cloud capable and manage single and multi-tenant deplo
 yments in production.\n- run approximately 400 services across our platfor
 m primarily hosted on Google Cloud.\n- rely heavily on Kubernetes\, contai
 ners and several other cloud specific services.\n- operate multiple kinds 
 of workloads including ML training and inference workloads utilizing GPUs\
 n\n### About this presentation\n\nWe will talk about why and how we went o
 n our cost optimization journey and where we are today.\n\n## Cost optimiz
 ation at IDfy\n\nThe initial impetus came about when we saw month-on-month
  increase in infrastrucure costs without a linear increase in volumes. Thi
 s got us thinking that something had to change. \nSo in late May 2022\, we
  got around to optimizing our costs which paid off inside of 2 months.\n\n
 The entire set of activities can be summarized under\n\n- People\n- Proces
 s\n- Tools\n\n### People\n\n- Empowering team members to take decisions wh
 ere and how to optimize and then quickly execute changes in days\n- Define
 d ownership for continued cost monitoring and optimization\n\n### Process\
 n\n- We had a clear set of guiding principles for areas of optimization\n 
  - A baseline target was set\n  - Quick improvements and changes with high
  monetary impact were prioritized\n  - Then the more complex changes were 
 picked up\n- Knowing when to stop (not over-stretching so as to impact oth
 er deliverables)\n- Setting up practices for optimal setups\n- Continued m
 onitoring\n\n### Tools\n\n- Breaking down cost dashboards\n- Really unders
 tanding where costs come from (Service/SKU level breakdown)\n- Profiling\n
 \n## Putting it all into action\n\n- Our costs really came from a few clou
 d resources\n  - Compute\n  - Databases\n  - Logging\n  - Managed Services
 \n\n- Basic principles\n  - Stop what's not needed\, when not needed (Stag
 ing environments)\n  - Reduce replicas (fewer pods\, but nothing is impact
 ed)\n  - Cut the fat (overprovisioned cpu and memory from the good days)\n
   - Consolidate (shared resources)\n  - Reduce reliance on costly managed 
 services\n  - Optimize (queries)\n  - Clean up (unnecessary logs)\n\n- A f
 ew steps down the road\n  - Get a better deal from your cloud provider (di
 scounts\, cheaper performant hardware\, etc)\n  - Committments (pay upfron
 t for what you know you will need)\n  - Deeper view into costs (slice\, di
 ce and compare)\n  - Basic autoscaling\n\n- Today\n  - Nuanced Autoscaling
 \n  - Profiling and optimization before deploying to prod \n  - Continuous
  monitoring (with set ownership of monitoring and reporting)\n  - A proces
 s of delegated ownership and action with a monthly checkpoint with leads\n
  \n## Outcomes\n- A cost reduction of close to 40% inside of 2 months\n- S
 ome good practices and principles that have stuck with us\n- A sense of ow
 nership around cost and continuous optimization mindset\n- Per unit cost t
 hat has stayed the same or reduced since July 2022
LAST-MODIFIED:20230814T120541Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/how-we-
 cut-cloud-costs-at-idfy-and-slept-well-at-night-BSboQfLAM5hKkbGXXz2toj
BEGIN:VALARM
ACTION:display
DESCRIPTION:How we cut cloud costs at IDfy and slept well at night. in 5 m
 inutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q/A Session
DTSTART:20230728T104500Z
DTEND:20230728T110000Z
DTSTAMP:20260421T083532Z
UID:session/Y7nHh9esCeW4SaHVbdMYcT@hasgeek.com
SEQUENCE:0
CREATED:20230704T103351Z
LAST-MODIFIED:20230704T103351Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Q/A Session in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Break
DTSTART:20230728T110000Z
DTEND:20230728T111500Z
DTSTAMP:20260421T083532Z
UID:session/7eAveKqQwfWadtcVqcQJWk@hasgeek.com
SEQUENCE:0
CREATED:20230704T103416Z
LAST-MODIFIED:20230704T103416Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Break in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Role of FOSS in optimizing costs of cloud infrastructure
DTSTART:20230728T111500Z
DTEND:20230728T120000Z
DTSTAMP:20260421T083532Z
UID:session/Q5PrKvLABktZCwmNRfBpbe@hasgeek.com
SEQUENCE:3
CATEGORIES:Talk is scheduled,Confirmed
CREATED:20230724T040349Z
DESCRIPTION:The theme of the panel discussion is the role of FOSS in contr
 olling cloud costs. The panel will broadly cover the following topics:\n\n
 - Role of FOSS in controlling cloud costs\n- Challenges and risks in adopt
 ing FOSS tools\n- Issues with proprietary SAAS tools\n- Self hosting versu
 s managed hosting\n\n### Panel moderator\nKailash Nadh is the CTO of Zerod
 ha and one of the founders of FOSS United Foundation. Kailash will moderat
 e the panel discussion.\n\n### Panelists\n1. Deepti Agrawal works as Direc
 tor of Engineering at Flipkart. She leads the PAAS service group at Flipka
 rt\, providing managed services on their hybrid cloud to the engineering t
 eams. Their platform is built on FOSS tools\, with enterprise support for 
 some of them.\n\n2. Ram Bhavaraju is an engineering leader at Ather Energy
 . He has built Ather's data platform on GCP driving down the cost of data 
 collection considerably. He has interesting insights about running Kafka a
 nd Clickhouse in production\, and the pros and cons of self-hosting and us
 ing enterprise offerings of them.\n\n3. Santanu Sinha works as Chief Archi
 tect at PhonePe. He built the checkout system at Flipkart\, tracking syste
 m at Ola and transaction processing system at PhonePe. PhonePe self-hosts 
 most of their infrastructure and run on-premise.\n\n### Panel curator\nAna
 nd Chitipothu has curated this panel. He is the editor of the conference a
 long with Raghdip Singh Panesar.\n
LAST-MODIFIED:20231201T094744Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/cloud-costs-optimization/schedule/role-of
 -foss-in-optimizing-costs-of-cloud-infrastructure-Q5PrKvLABktZCwmNRfBpbe
BEGIN:VALARM
ACTION:display
DESCRIPTION:Role of FOSS in optimizing costs of cloud infrastructure in 5 
 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Birds of Feather session 1
DTSTART:20230728T120000Z
DTEND:20230728T123000Z
DTSTAMP:20260421T083532Z
UID:session/YbFmXJdeXYr7dgQAFgkfmD@hasgeek.com
SEQUENCE:2
CREATED:20230704T103613Z
LAST-MODIFIED:20230704T103651Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Birds of Feather session 1 in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Birds of Feather session 2
DTSTART:20230728T120000Z
DTEND:20230728T123000Z
DTSTAMP:20260421T083532Z
UID:session/BzhaQanWv8cAeB8Dd28TbD@hasgeek.com
SEQUENCE:0
CREATED:20230704T103645Z
LAST-MODIFIED:20230704T103645Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Birds of Feather session 2 in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Birds of Feather session 3
DTSTART:20230728T120000Z
DTEND:20230728T123000Z
DTSTAMP:20260421T083532Z
UID:session/FYAur9Hb9kQ6LhJmAv7j8A@hasgeek.com
SEQUENCE:0
CREATED:20230704T103709Z
LAST-MODIFIED:20230704T103709Z
LOCATION:Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Birds of Feather session 3 in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
END:VCALENDAR