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Become part of a community passionate about building better apps. Designing GraphQL schemas This post made it to top 10 on HackerNews front page. Do engage in discussion there and show us love by giving us a GitHub star. GraphQL has taken the app development world by storm because of its immense benefits. GraphQL adoption by UI development teams has brought in a new wave of flexibility in API desi

Become part of a community passionate about building better apps. Introducing Ristretto: A High-Performance Go Cache This post made it to the top of Golang subreddit and is trending in top 10 on the front page of Hacker News. Do engage in discussion there and show us love by giving us a star. With over six months of research and development, we’re proud to announce the initial release of Ristretto

So, we can conclude that none of the cache libraries meet all the requirements. GroupCache and FreeCache fails on requirement 4 whereas BigCache fails on requirement 5. So, what are we left with? Well, nothing really. We are not aware of a smart memory-bounded cache in Go that can meet the entire list of requirements. If you know of one, do let us know in the comments. Meanwhile, we came across Ca

Become part of a community passionate about building better apps. Why Google Needed a Graph Serving System This post made it to #3 on HackerNews front page. Do engage in discussion there and show us love by giving us a GitHub star. When I introduce myself and explain what we are building at Dgraph Labs, I am typically asked if I worked at Facebook, or if what I’m building is inspired by Facebook.

Become part of a community passionate about building better apps. Badger vs LMDB vs BoltDB: Benchmarking key-value databases in Go If you have been following us, you may know that we released Badger a few months ago. Badger is a simple, efficient, and persistent key-value store, written in a hipster language. Even though it is not at v1.0 yet, we have already received a great response from the com

Introducing Badger: A fast key-value store written purely in Go We have built an efficient and persistent log structured merge (LSM) tree based key-value store, purely in Go language. It is based upon WiscKey paper included in USENIX FAST 2016. This design is highly SSD-optimized and separates keys from values to minimize I/O amplification; leveraging both the sequential and the random performance

Become part of a community passionate about building better apps. Golang: Run multiple services on one port Ever faced the problem of having multiple ports in an application, one for each service? In this post, I’m going to brief about how to run multiple services via the same listener port. At Dgraph , we used to have one port to serve HTTP requests, one for gRPC and one more for internal communi

Custom encoding: Go implementation in net/rpc vs grpc and why we switched At Dgraph , we aim to build a low latency, distributed graph database. This means our data is distributed among nodes in the cluster. Executing a query means multiple nodes are communicating with each other. To keep our latency of communication low, we use a new form of serialization library called Flatbuffers. What sets Fla