Sendbird chose AWS to power conversations for SMB
Sendbird, the leading chat & messaging platform for web and mobile applications, leverages AWS to support SMB customers at scale.
Sendbird, the leading chat & messaging platform for web and mobile applications, leverages AWS to support SMB customers at scale.
Connect your users with one another to increase engagement, and facilitate faster transactions.
Provide a fully customizable messaging based support experience that increases CSAT and operational efficiency.
Engage users when they’re most receptive to transactional and marketing messages.
Sendbird helps SMB businesses host modern, secure, and scalable messaging experiences directly in their web and mobile apps.
With Sendbird in-app chat & messaging powered by the AWS cloud, engage your users, convert more, deliver marketing offers and notifications at scale, and support customers in the way they prefer.
Sendbird uses AWS Auto Scaling to monitor applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
Sendbird uses AWS EC2 to handle traffic surges instantly from over 300M monthly active users globally.
Sendbird uses AWS Elastic Load Balancing to monitor and distribute chat traffic to global targets automatically.
Sendbird uses Amazon Route 53 highly available and scalable cloud domain name system (DNS) service and geolocation function to distribute traffic reliably across regions.
Sendbird uses AWS CloudFormation to simplify the setup and management of its cloud resources.
Sendbird uses AWS IAM to control engineer permissions so that only the resources required for development can be accessed.
Sendbird uses Amazon ElastiCache to enable microsecond latency and massive scale using Redis.
Sendbird uses Amazon Aurora to store 200TB of user data and make 200 queries per second reliably.
Sendbird uses AWS Kinesis scalable and durable real-time data streaming service to make around 80K Kinesis PutRecords requests per minute, and Kinesis streams process around 10TB of log data per day.
Sendbird users Amazon Athena to analyze data in Amazon S3.
Steve Lee, Head of Engineering Infrastructure at Sendbird
Member group chats supported
MAUs
Implementation of basic chat
Improved latency
Revenue growth
User base growth
Saved in product roadmap
Implementation of chat
Raised for small orgs to date
Patients
Doctors
Patients willing to leave WhatsApp