If so please press the ' Accept as Best Answer ' button to help others find it. Still stuck? Ask me a question! Questions asked in the community will likely receive an answer within 4 hours! View solution in original post. Daphne Community Moderator Dropbox dropbox. If so, please give it a Like below. Thanks for the link. I had gone through the same yesterday.
But i didn't get the exact answer. Actually my question is regarding the architecture pattern used by Dropbox. For example when i go through the link you attached it feels its a Publisher Subscriber pattern, but some say it as a Observer pattern with central server pushing the changes to the client.
Could you please help me with the same? As i have chosen this topic to present in my class.. I was reading about the Dropbox architecture. Streaming File Sync. And in my search for the backend database details I found this thread. Is it fair to understand that the block storage where the actual files is on the cloud S3? Sorry to jump in here, but quoting from the relevant resource I just wanted to let you know that sic once a file is added to your Dropbox , it's synced to our secure online servers.
All files stored online by Dropbox are encrypted and kept in secure storage servers. Storage servers are located in data centers across the United States. Additionally, storage servers are available in Germany, Australia, and Japan for some Dropbox Business users.
Walter Community Moderator Dropbox dropbox. In addition, our responsible disclosure policy promotes the discovery and reporting of security vulnerabilities. Dropbox corporate and production systems are housed at third-party subservice organization data centers and managed service providers located in the United States.
These third-party service providers are responsible for the physical, environmental, and operational security controls at the boundaries of Dropbox infrastructure. Dropbox is responsible for the logical, network, and application security of our infrastructure housed at third-party data centers. Dropbox does certificate pinning in modern browsers that support the HTTP Public Key Pinning specification, and on our desktop and mobile clients in most scenarios and implementations.
We use it to guard against other ways that skilled hackers may try to spy on your activity. For endpoints we control desktop and mobile and modern browsers, we use strong ciphers and support perfect forward secrecy. This adds extra protection to encrypted communications with Dropbox, essentially disconnecting each session from all previous sessions.
Encryption key generation, exchange, and storage is distributed for decentralized processing. File encryption keys are created, stored, and protected by production system infrastructure security controls and security policies.
Access to production systems is restricted with unique SSH key pairs. Security policies and procedures require protection of SSH keys. An internal system manages the secure public key exchange process, and private keys are stored securely.
Find more details about our control and visibility features in our Dropbox Business Security Whitepaper. Under the hood: Architecture overview Dropbox is designed with multiple layers of protection, including secure data transfer, encryption, network configuration, and application-level controls distributed across a scalable, secure infrastructure.
Corporate Compliance for Data Storage in the Cloud. Now anyone building a web app on our platform can easily integrate Dropbox as their backend without having to do the hard work themselves. Uploading a file to Dropbox. Next, we created a file selector field and an onchange event that will upload the file. Do something here with the percent complete. Centralized controller. A centralized controller can dynamically schedule load distribution based on real-time request rates and backend server loads.
This approach requires a data collection pipeline to gather information, advanced algorithms in the controller to optimize load distribution, and an infrastructure to distribute load balancing policies to LB instances.
Shared states. States can be shared or exchanged across LB instances so that the information stored is closer to the real-time server status, however, keeping these states in sync at request rates can be challenging and complicated. Piggybacking server-side information in response messages. Instead of trying to aggregate stats based on local information, we could embed server-side information in response messages e.
Additionally, active probing i. Enhancing Bandaid Load Balancing. As the service proxy at Dropbox, Bandaid is responsible for load balancing the vast majority of our user requests to backend services. Because of the high request rates, the Bandaid production deployment consists of a large number of instances to handle the load, making itself a truly distributed load balancing layer.
Bandaid, the service proxy at Dropbox. Our Design We considered the approaches discussed earlier and decided to start with the third one because it was simpler to implement and worked well with the random N choices LB method that Bandaid already supported.
Bandaid Each Bandaid instance receives roughly the same number of requests thanks to our downstream LB configurations , which reduces one factor of consideration. We have services that have Bandaid configured to send requests to all backend servers as well as ones where Bandaid is configured with randomly selected subsets of servers.
Hence, we can easily validate the effectiveness of the solution in both scenarios. Backend servers for each service Each backend server is already configured with a maximum number of requests that can be concurrently served, and the number of active requests is also tracked in the server. As a result, it was straightforward to define the capacity and utilization of a backend server.
The backend servers have homogeneous configurations, making it simpler to reason about load balancing among them. We believe the design should also work for heterogeneous configurations and will experiment with this as one of our future projects.
Traffic patterns Because of the high QPS of our services, passively collecting piggybacked load information in response messages is sufficient to keep the stored information fresh and we do not have to implement active probing. Server utilization The server utilization is defined as the number of active requests over the maximum number of requests that can be concurrently processed at each server, ranging from 0.
The utilization value is computed and stored in the X-Bandaid-Utilization header when a response is about to be sent to Bandaid. The figure below shows an example of the response message flow. Handling HTTP errors Server side errors with HTTP status code 5xx need to be taken into consideration, otherwise when a server fast fails requests, it may attract and fail more requests than expected due to the perceived lower load.
In our case, we keep track of the timestamp of the latest observed error, and an additional weight is added to the score if the error happened recently. Consequently, the stored server utilization value could get stuck and become stale.
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