Building a Connected Value Chain with MongoDB and AWS
Jump-start your digital transformation journey by learning about industrial IoT, immersive visualization, and AI, and discover how MongoDB and AWS bring all of these technologies together to allow for a seamless flow of data from connected vehicles to the factory floor and back. In this video we’ll demonstrate how our 3D factory digital twin - powered by MongoDB and AWS - simulates equipment performing complex maneuvers to uncover the most efficient processes and mimic the behavior of a real production process. We’ll also show how MongoDB Atlas facilitates uninterrupted data flow from a connected vehicle to the virtual factory through real-time data transmission. Explore the possibilities of this cutting-edge technology and learn how you can leverage MongoDB and AWS to build your own connected value chain and transform your manufacturing process. Key technologies covered in this session include: MongoDB Atlas, Realm, Atlas Device Sync, AWS IoT Core and Sagemaker.
Generative AI with MongoDB Atlas and BigQuery: A Developer’s Guide
Join Stanimira Vlaeva, Developer Advocate at MongoDB, and Abirami Sukumaran, Developer Advocate at Google, for this developer-friendly webinar. Discover how to leverage Gen AI with MongoDB Atlas and BigQuery for generative natural language tasks. We will walk you through a practical use case, step-by-step, covering: Moving subsets of operational MongoDB Atlas data into BigQuery. Creating machine learning models in BigQuery ML. Using Generative AI models to perform generative natural language tasks, such as generating text, translating languages, and writing different kinds of creative content.
MongoDB.local Kuala Lumpur: Setel
Fueling The Future: Scaling Setel with MongoDB & Project Fission Watch this insightful session as Indra Gunawan, Engineer Manager of Setel, takes you through Setel's scaling journey with MongoDB and their very own Project Fission. As the pioneers behind Malaysia's fuel e-payment application, Setel encountered unique challenges over the past few years in managing exponential growth and delivering seamless user experiences. In this presentation, you will learn how Setel leveraged MongoDB's powerful capabilities and spearheaded Project Fission to overcome these hurdles. Indra will also share best practices and lessons learnt from Setel’s scaling efforts, offering valuable takeaways for developers, engineers and businesses to build scalable and robust platforms.
Ascend Group reaches new heights with real-time scalability
Formed in 2014 as a spin-off of communications conglomerate True Corporation, Ascend Group is an e-commerce specialist headquartered in Bangkok. The rapidly growing group recently launched affiliates in the Philippines, Indonesia, Vietnam, Myanmar, and Cambodia. The Ascend Commerce subsidiary specialises in e-commerce, logistics, and procurement, and its DevOps and site reliability engineering (SRE) team is responsible for developing and managing numerous e-commerce websites. “Every day brings different challenges,” says Sachin Yadav, head of DevOps at Ascend Group, speaking at the MongoDB.local event in Bangkok. “My team of 40 works on multiple projects – some in e-commerce, some in logistics. The team works mainly on how to automate processes while ensuring that systems are reliable and fast enough to avoid lagging.” **For Sachin, data is the critical aspect of any e-commerce system – and of primary importance is the speed at which data can be delivered to end users. ** **“We think five years ahead,” says Sachin. “An RDBMS may be fast enough today, but when your customer grows to maybe 10,000 requests per minute, you realise that whatever architecture you’re building also impacts how your application grows.” ** **It was this forward-thinking approach that led Sachin to non-relational databases, and to MongoDB in particular. “We certainly need to think about what the best architecture is for data modelling,” he adds. “Our developers are fascinated by the speed at which you can work with NoSQL and MongoDB.” ** An RDBMS may be fast enough today, but when your customer grows to maybe 10,000 requests per minute, you realise that whatever architecture you’re building also impacts how your application grows. -Sachin Yadav, Head of DevOps, Ascend Group With Ascend Group operating as an IT and software hub for multiple different companies, the use cases for MongoDB are varied and demanding. From handling last-mile deliveries for Thai grocery giant Lotus, to managing the online mobile phone store for True, MongoDB is an increasingly important part of Ascend Group’s stack. **The business took MongoDB to the next level in 2020 when it switched from a self-managed instance to MongoDB Atlas. In e-commerce environments characterised by sharp spikes in demand when, for example, a new iPhone is launched, it was a logical choice. ** “We are in an era of saving costs, but at the same time you have to provide the same levels of speed and reliability to end users,” says Sachin. “MongoDB Atlas helps to scale up quickly and on demand. We can auto-scale storage and clusters, and also have zero-downtime auto-scaling.” MongoDB is also allowing Ascend Group to drive real-time analytics, which is proving highly valuable for Lotus’s Go Fresh same-day delivery offering. “Most Go Fresh products have short shelf-lives, so you need sales data available to plan inventory for the next day,” says Sachin. “We use multiple secondary nodes in MongoDB Atlas which don't impact our production workloads, so we can meet the demands of businesses and enable data-driven decisions in real time.”
MongoDB.local Bangkok: KASIKORN-Business Technology Group
**KBank Migration Journey: From Self-Hosted MongoDB to Atlas ** In 2020, MAKE By KBank was launched as a financial application with innovative design that aims to empower users and their communities. Since then, the user base has grown exponentially; the app was set to achieve one million users by the end of 2022. With the anticipated growth, the team decided to migrate MongoDB databases to MongoDB Atlas, all while ensuring security with VPC network. Watch this video to find out the process of migration and how Atlas has helped MAKE By KBank grow further.
MongoDB.local Jakarta: Bank Jago
Building Analytics Capabilities using MongoDB Discover Bank Jago's innovative use of MongoDB and Google Cloud in "Building Analytics Capabilities using MongoDB." Learn how Bank Jago addressed challenges including schema standardization, data retention, streamlined data governance, and accelerated query speeds. Gain invaluable insights into how they are harnessing Google BigQuery's advanced analytics, all while leveraging MongoDB's flexibility. Speaker: Yosira Ayu Jawatam, Corporate Performance Analyst Lead, Bank Jago
MongoDB.local Bangkok 2023 TD Tawandang
Fireside Chat: Elevating Innovation: TD Shop’s Journey with MongoDB Atlas on Google Cloud Watch this engaging fireside chat that delves into the remarkable journey of TD Shop, as it takes innovation to new heights through its collaboration with MongoDB Atlas on Google Cloud. Moderated by MongoDB, this enlightening conversation will feature experts from Google Cloud and TD Tawandang, offering a firsthand account of how cutting-edge technology can drive transformative business evolution. Moderator: Angkana Chananon, Enterprise Account Executive, MongoDB Witthayakon Chaemkan, Head of Infrastructure and Cloud, TD Tawandang Pheeraphong Ajchariyavaranon, Customer Solutions Consultant, Google
MongoDB.local Jakarta Ministry of Health Indonesia
Unlocking the Future: Building a Secure & Scalable Data Platform in the Public Sector Hear from Reza Rudyanto Pramono, Chief Technology Officer at the Ministry of Health's Digital Transformation Office, as he delves deep into the core essentials of scalability, security, and data residency. Explore how to fortify your data fortress against cyber threats while seamlessly scaling infrastructure to meet evolving workloads. Gain invaluable insights into navigating the intricate landscape of data residency, ensuring regulatory adherence without compromising data accessibility and availability.
AirAsia flies Superapp into the cloud
AirAsia is a Malaysian low-cost airline that operates domestic and international flights to more than 165 destinations in 25 countries. It is the largest airline in Malaysia by fleet size and destinations served. AirAsia Launched Superapp in October 2020. The mobile app for Android and Apple originally focused on flights and related services, but as the Covid-19 pandemic severely restricted international travel, it was clear that AirAsia needed to broaden its scope. Adding services such as food delivery, taxis, and hotels to Superapp proved to be highly successful. To date, the app has been downloaded 40 million times, with 13 million monthly active users, and 15 product and service offerings. “Most of our services are on Google Kubernetes Engine (GKE), so everything we run is in containers,” says Danial Hui, Head of Software Engineering at AirAsia at MongoDB.local Kuala Lumpur. “For Superapp and the AirAsia.com website, all our applications are connected to APIs and microservices.” **With Superapp’s rapid rise in popularity, the previous database’s scalability and quota limits were causing problems. ** **“Superapp is really a collection of apps that work quite differently and have different database needs. We switched to MongoDB because it has integration and geospatial functions that work very well for us,” adds Hui. “Most of our microservices are now on MongoDB. It’s flexible, it’s agile, and it complements our microservice architecture.” ** “ We realized that as a growing company, we might not be able to invest so much energy, skill sets or resources into managing MongoDB,” Hui explains. “That was one of the main drivers of why we went for MongoDB Atlas. **Time to market was also an important factor. With AirAsia looking to scale to five countries in 15 months, representing a 1,000% growth rate, being able to automatically set up multiple clusters in different countries was a substantial benefit. ** Another key feature that attracted Hui was the multi-cloud capabilities of MongoDB Atlas. AirAsia’s cloud provider of choice is Google Cloud Platform, but in territories where demand for resources can be unusually high, such as Singapore, the ability to switch to AWS has been highly advantageous. “The multi-cloud aspect of MongoDB Atlas is excellent; it works seamlessly,” concludes Hui. “We only use it when we absolutely have to, but it ensures that we never have any issues.”
MongoDB.local Singapore: Terrascope
Unleashing the Power of Technology to Accelerate Sustainability & Climate Action Hear from Terrascope, an enterprise-grade, end-to-end decarbonisation SaaS platform, for an insightful session on the transformative power of technology in driving corporate climate action. In this presentation, Terrascope CTO Mathavan Arugalaimuthu will explore common challenges faced by companies in their quest to reduce their carbon footprint, and the unique opportunities technology offers to overcome them. Speaker: Mathavan Arugalaimuthu, Chief Technology Officer, Terrascope
Globe Group turbocharges digital overhaul with multi-cloud approach
Globe Group is one of the largest telecommunications companies in the Philippines, with almost 87 million customers. A cloud-native since its 2014 launch, 70-80% of its workload is on AWS. Globe’s focus has always been rapid digital delivery. With 800 applications across 7,000 servers and 5.8 petabytes of storage on public and private clouds, a recent incident galvanized Globe to re-energize its cloud usage and innovate faster. Presenting at MongoDB.local Singapore, Ricky Mohan, Globe Telecom’s Head of Cloud Enablement and Service Operations, told the story. **On December 25th, 2022, Ricky got notification of what appeared to be a distributed denial-of-service (DDoS) attack. Customers in huge numbers were attempting to visit Globe’s website and apply to register their SIM cards, as they were required by a new government mandate to do. If they failed within a given time, they’d lose their phone number. ** But Globe hadn’t designed the system to have millions of customers accessing its call systems downstream. Each time they solved one point of failure, another would fail behind it. The incident lasted over two days. Emerging from the crisis, Ricky and the team realized that most of Globe’s legacy systems had backend synchronous dependency, so that only once one operational task was completed could the next be tackled. They began to rethink how to ‘do digital at Globe.’ **The team started small, with an auto-capturing site for SIM-card-only registration. They wanted the customer journey to take a zero-negative path, meaning that if a particular system failed, instead of customers receiving a ‘try again later’ message, Globe could capture the order and process it themselves. The aims were to: ** ** ⁃ never go offline ⁃ Zero-touch provisioning ⁃ reduce human involvement ** To meet the challenge, Globe formed a cross-functional engineering group with MongoDB –MongoDB Atlas was already supporting several of Globes products and services – as a key partner. Already running on AWS, the team chose Google Cloud Platform (GCP) for the project from a multi-cloud perspective. “It benefits us to have healthy competition between multiple partners,” explains Ricky, “and MongoDB Atlas being multi-cloud by default allows us to use data across multiple cloud vendors.” The infrastructure was configured with a multi-cloud platform engineering mindset, creating patterns that could be re-used by developer teams so they could be quicker to realize business value. **Typically, at a large-scale enterprise, a project of such complexity, involving SAP, provisioning systems, and Operational Support Systems (OSS) and Business Support Systems (BSS) layers, would take at least nine months to deliver. The Globe team nicknamed their effort, ‘Project Impossible.’ Here’s why: ** ** ⁃ 4 months to delivery ⁃ Nearly 90% reduction in opertational running costs ⁃ 70% reduction in human involvement to process orders ** “We were able to deliver so quickly because of the technology choices we made to reduce the work of developers, and MongoDB played a major part in that,” says Ricky.
MongoDB.local Singapore: Affyn
Building Atlas on Atlas This session is designed to provide technical insights on Affyn's multi-cloud architecture (AWS, GCP and Azure) and features how MongoDB Atlas skillfully supported their ambitious geolocation-based metaverse game to life. Affyn's head engineer and security lead will share how they designed and implemented a cloud strategy to create a game that overlays an entire planet. They will give exclusive insights into the challenges and strategies used, as well as implementation and cost-saving tips and tricks that unlock the potential of the cloud and MongoDB Atlas. Speakers: David Seow, Chief Information and Security Officer, Affyn Hejun Wong, Technical Lead, Affyn