AWS M-Power Academy has played an instrumental role in informing, engaging and building conversations within ITDMs, developers and the larger tech community within the startup ecosystem and digitally-native organisations through their interactive, engaging and tech-intensive events.
After the massive success of AWS M-Power Academy sessions since 2021, AWS M-Power Academy is back with another interesting session on game data analysis - AWS M-Power Academy Season 2 - GameTech.
Games collect a lot of data from their players’ gameplay and activities performed on the client side. This data is processed to extract insights for the studio leadership, as well as to help producers and game-designers to balance the game, or improve the game design. The data also helps game developers to troubleshoot client-side issues that are difficult to reproduce. Instead of sending all such valuable data to a third-party provider who accesses all your raw data and presents templatised insights, here’s how you can deploy a custom AWS solution to ingest-store-process-visualise your data and extract information and insights from it, and visualise it through engaging and interactive graphs. The solution has benefitted numerous game studios of all scales and sizes, running one or multiple games, and without burning a hole in their pockets.
This session will be led by Nirav Doshi, Principal Tech Strategist (APJ Game Tech) at AWS. With over two decades of experience in the IT industry, Nirav has been working with game studios across APJ Game Tech at Amazon Web Services.
Nirav has been at AWS for over 6 years and has worked in the IT industry for over 26 years, developing software apps and leading dev teams. At AWS, he is the Principal Technical Strategist in Sydney (Australia), and works with game studios across APJ, advising them on their business and technical challenges, as well as guiding them on industry/tech trends. The studio teams benefit from his expertise across a spectrum of verticals such as game design, cloud-native game development, game operations, data analytics, game community hygiene, real money gaming, Web3, and esports/tournaments. Prior to joining AWS, he has worked on console & mobile game backends, and online casinos and poker systems, for over 10 years.
To be a part of this tech-intensive session and learn from the AWS expert, register now
AWS M-Power Academy has informed, engaged and built conversations within ITDMs, developers and the larger tech community within the startup ecosystem and digitally-native organisations through their interactive, engaging and tech-intensive events.
After 12 in-depth events since 2021 with more than 20 AWS tech experts from the key tech levers of Databases, Containers, Analytics, Security and AI/ML, AWS M-Power Academy is here with AWS M-Power Academy Maximise Cloud Summit this year. AWS M-Power Academy Maximise Cloud Summit – a 3-day event with 2 interactive sessions each day – focuses on strategic services like EKS/Karpenter, Containers (EKS/ECS/ECR), Graviton, Glue S3 Kinesis Athena, Redshift and Shield Advanced, WAF. These sessions highlight how businesses can take full advantage of the cloud, secure their cloud, and achieve the best price performance for their cloud workloads.
The first two sessions of the event highlight how businesses can improve application scalability with reduced
cost using Karpenter on Amazon EKS and secure containerised workloads using AWS security.
The first session of the day will highlight how Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters.
The session will show how Karpenter automatically launches the right compute resources needed to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters.
This session will be hosted by Chetan Dharma, who is working as a Senior Solutions Architect at AWS. Chetan will give an overview of Karpenter and guide you to set it up along with showcasing a working demo of Karpenter on EKS-managed node groups.
The last part of the session will be dedicated to a live Q&A round with Chetan.
Chetan Dharma is working as a Senior Solutions Architect at AWS. He has over 17 years of experience in IT. Working out of the Mumbai office, Chetan focuses on how to build solutions for scale with modern and cloud-native application designs using microservices, containers and serverless.
The second session will show how you can secure containerised workloads with AWS Security Services. This session will help you activate AWS Security Services to address the most common Container Security uses identified for Amazon ECS, Amazon EKS and Amazon ECR.
This session will be hosted by Ramprasad G, who is a Senior Solutions Architect at AWS with more than 16 years of experience in IT. During this session, Ramprasad will talk about the rise of Containerised Workloads, Container Security Risks, Container Security Foundations, AWS Security Services for Containers, Use Cases by Domain and Data Protection.
This discussion will be followed by a demonstration and a live Q&A session.
Ramprasad is a Senior Solutions Architect at AWS. He has over 16 years of experience in IT. Based out of Chennai, he focuses on helping customers in building secure, scalable and highly available applications on AWS Cloud.
The first session of the second day will be led by Jayesh Vartak and Arun Pandey. During this session, Jayesh and Arun will give an introduction about Graviton, and talk about architecture and managed services supporting Graviton along with highlighting customer case studies. This session showcases how you can leverage Graviton instances to optimise the cost for AWS-managed services and EC2-based workloads.
AWS Graviton processors are custom-built by AWS using 64-bit Arm architecture, which provides up to 40 percent better price-performance, over comparable x64-based instances, of cloud workloads running in Amazon EC2 (Elastic Compute Cloud). It includes but is not limited to application servers, micro-services, high-performance computing, electronic design automation, gaming, open-source databases, and in-memory caches.
This discussion will be followed by a demonstration and a live Q&A session.
Jayesh Vartak is working as a Solutions Architect at AWS, who focuses on containers, application modernisation, infrastructure, big data and analytics. Jayesh helps customers create innovative solutions to address their business problems and accelerate their digital and cloud transformation journey.
Arun Pandey is a Senior Database Specialist Solutions Architect at AWS. With over 17 years of experience in application engineering and infra-architecture, Arun helps digitally-native companies in India build resilient and scalable database platforms, which aids in solving complex business problems and innovating faster on AWS.
The second session of the day will be hosted by Nikhil Khokhar, Solutions Architect at AWS. In this session, users will get an understanding of how to generate and ingest use-case-specific streaming data into the Kinesis stream, consume data from the Kinesis stream using Glue streaming job, and persist in S3 as Apache Hudi data set. It will also help users improve query performance by setting up Clustering inside a partition to achieve data locality.
The Hudi configurations within the Glue job will help you walk through the best practices – like reducing query scan scope by setting up nested partitioning for data using related schema attributes; improve query performance by setting up clustering inside a partition to achieve data locality (linear ordering & Z-Order); for large datasets, leverage Metadata-based file listing feature to avoid performance impact from book-keeping operations, and use Kafka commit call-backs to set up event-driven pipelines on existing Hudi-based S3 datasets.
This session will also be complemented with a service demonstration and a live Q&A session.
Nikhil has been a Solutions Architect at AWS since 2016. He specialises in building and supporting data streaming solutions that help customers analyse and get value out of their data.
The third day of the event comprises two sessions, which focus on strategic AWS services like Redshift and Shield Advanced, WAF. These sessions highlight how businesses can analyse curated nearly real-time data, defend against application layer attacks and block malicious requests using AWS services.
The first session of the day will highlight how companies can effectively use Redshift DWH. This session will present multiple architecture options ranging from joining DWH with OLTP, to ingesting almost real-time data to Redshift. It will be led by Priya Jathar and Akshaya Rawat. Priya is a Solutions Architect at AISPL, AWS Digital Native Business (DNB). Similarly, as a Solutions Architect working with the DNB segment, Akshaya is also focused on data analytics solutions.
During this session, the speakers will discuss defining near real-time analytics, the need for near real-time analytics, federated queries-based approaches, near real-time ingestion to Redshift and using Redshift spectrum with Transactional data lake. The last part of the session will be dedicated to a service demonstration and a live Q&A session.
Priya Jathar is a Solution Architect at AISPL, AWS. Based in Mumbai, Priya works with AWS Digital Native Business (DNB) customers and enables them to design and architect innovative solutions on AWS.
Akshaya Rawat is a Solutions Architect working with DNB segment at AWS. He is focused on data analytics solutions.
The second session of the day will be led by Arun Pandey, Sr. Database Specialist Solutions Architect at AWS and Punit Jain, Senior Solutions Architect at AWS. In this session, they will talk about how companies can use the AWS service – Shield Advanced, WAF – to protect their edge without any architectural changes.
This session will help users identify common external threats, leverage Layer 7 protection and enable auto-mitigation using AWS WAF among other best security practices. This session will also be complemented with demonstrations and Q&A sessions.
Punit Jain is a Senior Solutions Architect at AWS working with digital-native businesses. He is passionate about technology, helping customers architect and build innovative, secure, resilient and efficient solutions for complex business problems. He is also known as a regional security expert for his contributions to improving the security posture of many AWS customers.
Arun Pandey is a Senior Database Specialist Solutions Architect at AWS. With over 17 years of experience in application engineering and infra-architecture, Arun helps digitally-native companies in India build resilient and scalable database platforms, which aids in solving complex business problems and innovating faster on AWS.
After a successful first season of M-Power Academy, with 12 in-depth events, 20+ seasoned AWS expert speakers and over 2,500 registrations, we are back with Season 2.
This year, M-Power Academy has a new avatar. 2022 is the year where we highlight the incredible contributions, innovations and developments within the ITDM, developer, and tech community. Season 2 will provide a platform for nominated speakers to showcase AWS architecture they have leveraged in their organisations.
Shortlisted winners will secure a chance to present their innovative solutions at different AWS-led events and community programs to key stakeholders in the startup ecosystem. Winners will also receive cash rewards, trophies, certifications, and more as one of the two finalists of M-Power Academy’s 2022 series.
Event 5 on September 7, 2022 is all about Amazon DocumentDB. From an overview of Amazon DocumentDB architecture, to cost optimisation and best practices, console overview to Amazon DocumentDB with live demos, this 90-minute session explores why Amazon DocumentDB provides exceptional scalability, durability and availability.
Amazon DocumentDB- September 7, 3:00 PM to 4:30 PM
Amazon DocumentDB is a highly scalable, durable, fully managed database service that can be leveraged for JSON data management. As a type of NoSQL database, Amazon DocumentDB makes it easy to insert, query, index, and perform aggregations over JSON data. It lets you set up, secure, and scale MongoDB-compatible databases without
worrying about running cluster management software, configuring backups, or monitoring production workloads.
With Amazon DocumentDB, storage scales automatically to 64 TB so you don't need to provision excess storage for your NoSQL database to handle future growth. It supports millions of requests per second with up to 15 low latency read replicas in minutes and does so without any downtime. Compatible with MongoDB, Amazon DocumentDB
supports millions of document read requests, automates database management risks and so much more.
In this session, Arun Pandey, Senior Database Specialist Solutions Architect, AWS will go deep into Amazon DocumentDB service architecture and share how Amazon DocumentDB enables customers to really scale on cloud native database architecture. Following this, he will dive into cost optimisation techniques and best practices on Amazon DocumentDB by leveraging purpose-built databases. The session will also help you understand the factors that go into Amazon DocumentDB cost and the best practices for right sizing Amazon DocumentDB instances and IO.
The third part of the session will be an overview of the DocumentDB console. The final part of the session will focus on a new feature - getting started with Amazon DocumentDB JDBC driver: How to access Amazon DocumentDB data using SQL interface with a demo. Since SQL is the standard language used for storing, manipulating and retrieving data in databases and is preferred by many engineers and data analysts, Amazon DocumentDB JDBC driver provides an SQL interface. The JDBC driver for Amazon DocumentDB provides an SQL-relational interface for developers and enables
connectivity from BI tools such as Tableau and DbVisualizer. You can visualise JSON datawith Business Intelligence (BI) tools like Tableau and run SQL queries on JSON data with developer tools like DBVisualizer.
The last 10 minutes will be a live Q&A session with Arun.
A Senior Database Specialist Solution Architect at AWS, Arun Pandey primarily focuses
on guiding and helping digital-native companies build resilient and scalable database
platforms. As a Solutions Architect with over 17 years of experience in application
engineering and infrastructure architecture, he also helps Indian companies solve
complex business problems and innovate faster on AWS.
Reduce costs and improve performance by leveraging Amazon DocumentDB
September 7, 2022. 3:00 PM to 4.30 PM
Session 4 on August 18, 2022 takes us into the area of multi-player games, where issues of long wait times and unstable game sessions can seriously affect the gamer’s experience. This session looks at how you can amplify the gaming experience through Amazon GameLift.
Amazon Gamelift - August 18, 2:00 PM to 3:00 PM
It’s no secret that multi-player games are often hampered by a multitude of problems. Latency - an issue that seems to affect many games - can often become an issue of life or death in the game. Unstable wait times can result in an unsatisfactory experience for the player.
Join Juho Jantunen, Senior Game Tech Solutions Architect, Worldwide at AWS, for a session on Multiplayer game hosting on AWS. In this session, Juho will cover how you can host global low latency multiplayer game servers on AWS by harnessing Amazon GameLift. This dedicated game server hosting solution deploys, operates, and scales cloud servers for multiplayer games.
Delivering a smooth, low-latency experience - with all the multiplayer features that players expect - requires setting up of global infrastructure and orchestration. This can be a complex process. This session dives into Amazon GameLift, which simplifies infrastructure management and allows you to focus on what matters most - the game.
Let Amazon GameLift handle the heavy tasks of deploying and managing game servers
Amazon GameLift, a dedicated game server hosting solution, deploys, operates, and scales cloud servers for multiplayer games. From offering fully managed solutions to a single feature you require, Amazon GameLift offers the best latency possible (45 minutes global media latency), maximum cost savings (upto 70 percent as opposed to existing on-premises deployments), and low player wait times. Amazon GameLift harnesses the powerful AWS global infrastructure for managing game servers.
The last 15 minutes of the session will be dedicated to a live Q&A round with the speakers.
Juho - a Senior Solutions Architect in the worldwide AWS for Games team - specialises in game server hosting solutions and helps AWS customers around the world design scalable and resilient game server architectures. His experience branches out into a variety of roles - Solutions Architect, teacher, and leader.
He has an in-depth knowledge of game development on multiple platforms (from PC to mobile), he teaches game development and finally, leads a Europe-wide AWS consultancy practice. He is passionate about building hassle-free, seamless game backend solutions on AWS that can scale to millions of players. He also prioritises reusable solutions and reference architectures to help customers innovate faster on AWS.
Deliver a low-latency, seamless multiplayer game experience whenever and wherever gamers choose to play
August 18, 2022. 2:00 PM to 3.00 PM
We have a great third session that examines data bases, Apache Cassandra and Amazon Keyspaces in detail. In this session, our expert speakers will guide you on how to run a Cassandra workload on AWS, and how Amazon Keyspaces can help you optimise the performance, elasticity and enterprise features of a business-critical Cassandra workload.
Amazon Keyspace - July 27, 3 PM to 4.30 PM
Apache Cassandra is an open-source, NoSQL database, which offers continuous availability, easy data distribution across multiple data centres, is simple to operate, and can handle massive volumes of data. Amazon Keyspaces allows you to run your Cassandra workloads on AWS while utilising the same Cassandra application code and developer tools that you are currently using. Gone are the days when you need to patch or manage servers. Nor do you need to install, operate or maintain software. Amazon Keyspaces is serverless, allowing you to pay for the resources you use, while the application scales tables up and down in response to traffic.
In this session Arun Pandey, Senior Database Specialist Solution Architect, AWS and Gaurav Gupta, Principal Solution Architect, AWS will provide an overview of the Cassandra engine database, and the best practices you can use to run a Cassandra workload on AWS. The latter half of the session will dive deep into Amazon Keyspaces as a managed service for running Cassandra workloads. This will allow you to understand the architectural differences between Keyspaces and the self-managed Cassandra cluster. The session will also discuss the benefits that a managed service brings to the table.
The third portion of the event will be a live demo conducted by the speakers. You can watch as Arun Pandey and Gaurav Gupta illustrate how customers can transform and migrate data from the Cassandra cluster to the Amazon Keyspaces cluster. The demo will also cover design patterns of migrations online and offline, best practices for migration, provision and optimisation.
The last 10 minutes of the session will be dedicated to a live Q&A round with the speakers.
A Senior Database Specialist Solution Architect at AWS, Arun Pandey primarily focuses on guiding and helping digital-native companies build resilient and scalable database platforms. As a Solutions Architect with over 17 years of experience in application engineering and infrastructure architecture, he also helps Indian companies solve complex business problems and innovate faster on AWS.
Gaurav Gupta is a Principal Solutions Architect at AWS, as well as a self-proclaimed Blockchain and Quantum enthusiast. His focus is primarily on helping digital native companies in the efforts to build resilient, agile and scalable architecture. In this capacity, he strives to help customers build large-scale architecture with the best practices on AWS. His 19+ years of experience encompass a wide range of domains, including retail, manufacturing, insurance, healthcare and more.
Manage masses of data quickly and seamlessly with Amazon Keyspaces for Apache Cassandra
June 27, 2022. 3 PM to 4.30 PM
Our next episode dives deep into the world of containers, Amazon EKS (Elastic Kubernetes Service), and identity management. The speaker for the episode is Kayalvizhi Kandasamy, Senior Solutions Architect, AWS, who will be focussing on ‘Authenticate users for your Amazon EKS cluster from your OpenID Connect identity provider’.
Amazon EKS - June 30, 3.00 PM
A Senior Solutions Architect at AWS, Kayalvizhi works with digital-native companies, helping them to cultivate and grow their innovation. Years of experience and a wealth of information has aided Kayalvizhi as she helps people bring their ideas to life. Her main areas of expertise include microservices architecture and cloud-native solutions that leverage AWS container services. Outside of work, you can find her teaching her daughters to play chess as a FIDE (International Chess Federation)-rated chess player. Amazon EKS is a managed AWS Kubernetes service that manages, scales, and deploys containerised apps. Amazon EKS clusters are made of two components - worker nodes and a control plane. Each cluster runs independently. In session 2 of M-Power Academy, Kayalvizhi will focus on Amazon EKS clusters and how customers can use their existing identity management system through a new feature - user authentication from an external OpenID connect identity provider. This feature will allow customers the option to manage user access to their Amazon EKS clusters by leveraging their existing identity management lifecycle through their existing OIDC identity provider.
Gear up for bi-monthly episodes, with expert AWS speakers and top digital native tech speakers, on some of the most boundary-pushing technologies in the space of AI/ML, Databases, Containers, and Analytics. The month of June brings with it the first episode of M-Power Academy Season 2, on Common Design Patterns for ML Model Deployment with Amazon SageMaker. The session will examine Machine Learning models, as well Containers, helping you optimise your ML data.
Amazon SageMaker - June 2, 2022, 3:00 PM-4:00 PM
This one-hour hands-on session will examine different design patterns for ML Model Inference - the process of running live data into a Machine Learning model to calculate a certain output. The speaker - Joinal Ahmed, Solutions Architect, Digital Native Business, AWS - will discuss different design patterns such as Model Endpoint, MME, MCE, SIP, MVE etc, delving deep into the pros and cons of each pattern and when these patterns should be utilised. The speaker will also answer common FAQs from a design, scaling, and optimisation perspective.
Additionally, this session will also discuss containers. Very often Machine Learning models can be a heavy drain on resources. Containerisation is one way to deal with this issue. Joinal will share his expertise on the subject, including single containers, multi-containers, multi-Application Programming Interfaces (APIs) and single API. Finally, you will also learn about the importance of orchestrator logic for orchestrating ML workflows, compute/ network choices, single instance and multi-instance, Model Parallel Serving and more.
The session will close with a live interaction session with Joinal. You can send in your questions around Common Design Patterns around ML Model Deployment to Joinal during the session or in advance.
