Editor’s note: Below is the final recap from last year’s event. There’s still time to join us live for the upcoming Distributed SQL Summit, Jan 20-22 in India Standard Time.
At the Distributed SQL Summit 2020, DaShaun Carter, formerly a Tanzu Solution Engineer at VMware presented the talk, “Cloud Native Spring for Relational Databases”.
In the talk, DaShaun takes us down about a possible path to distributed SQL,
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At the Distributed SQL Summit 2020, Tobias Meixner – CTO & Co-Founder at BRIKL, presented the talk, “A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura.”
Switching databases is painful, even more so when going from NoSQL to SQL. In this talk Tobias gave us insights into BRIKL’s two key elements of their migration path. First, migrating from Apollo Server and Amazon DynamoDB over to Hasura and YugabyteDB.
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At the Distributed Summit 2020 , Allison Kunz, Solutions Engineer at Hasura, presented the talk “Modernizing Application Development with Planet-scale GraphQL and Distributed SQL”. In the talk she covered what is GraphQL, why GraphQL, why Hasura GraphQL Engine, and a checklist of what it takes to have enterprise-grade GraphQL APIs in production, focusing on performance, security, and reliability. She also showed a demo of Hasura Cloud in action.
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Serverless applications allow developers to run code without having to provision or manage any servers; developers can just concentrate on implementing the business logic of their applications.
As workloads move to the cloud, serverless applications are gaining tremendous popularity with developers. Serverless frameworks allow developers to program for the cloud to take advantage of elastic scaling for workloads and provide cost benefits of using pay-for-use features, only getting billed for compute time they consume.
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Today, we are pleased to announce the public beta release of the Heroku Yugabyte Cloud add-on. With new accessibility to the Heroku marketplace, the process of deploying a fully-managed distributed SQL database in the cloud is now radically simple. For those of you who are new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud native distributed SQL database that is 100% open source. It puts a premium on high performance, data resilience, and geographic distribution,
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Layer 7 proxies like NGINX and HAProxy have been popular since the mid-2000s. The term “proxy” refers to their role as an intermediary for the traffic between an application client and an application server. The “layer 7” classification comes from the fact that these proxies take routing decisions based on URLs, IPs, TCP/UDP ports, cookies, or any information present in messages sent over a layer 7 (aka application layer) networking protocol like HTTP and gRPC.
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For those of you who missed last week’s YugabyteDB Community Q&A session, which covered GraphQL fundamentals, here’s the playback:
If you are interested in further exploring the possibilities of Hasura GraphQL and Distributed SQL, check out these resources.
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Remote joins in Hasura GraphQL extend the concept of joining data across tables, to being able to join data across tables and remote data sources. In this blog post we are going to demonstrate this capability by configuring the following set up.
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Hasura is one of the leading vendors in the GraphQL ecosystem. They offer an open source engine that connects to your databases and microservices, and then auto-generates a production-ready GraphQL backend. GraphQL is a query language (more specifically a specification) for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL is often used for microservices, mobile apps, and as an alternative to REST.
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Java developers know that Spring Data makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. When YugabyteDB is combined with Spring, Java developers are able to leverage their familiarity with PostgreSQL while gaining the added benefits of distributed SQL. These “out-of-the-box” benefits include geo-data distribution, high performance, and horizontal scalability, which are impossible or difficult to achieve with monolithic SQL databases.
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