Speaker
Abstract
Availability is a tricky thing. In order for your tier 0 endpoints to be available all their hard dependencies have to be available. For Stytch that means basically network, compute, database, and messaging providers. For many of these things there are degraded experiences we can provide that are better than being hard down, but for a fair assessment of availability we have to define some minimum standard of functionality and measure our availability against that standard. In this session we'll cover all the measures we take to ensure that our databases stay up at least 99.999% of the time and that we can recover them gracefully in the event of many different disaster scenarios.
Sponsored session
Session sponsored by
The most powerful identity platform built for developers.
QCon San Francisco 2023 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
Part of the track
Sponsored Solutions Track IVFrom the same track
Wednesday 4 October
10:35 Pacific LM Sponsored Designing AI Agents with System Thinking Logan Grasby Founder @Azule.ai AI agents are a perfect fit for serverless environments, as they can leverage the power of the cloud and the edge for fast and accurate decision making. It is often the case that AI applications do not require the costly vector database and compute solutions which are often used today, to… 11:45 Pacific LM Sponsored Can’t Apps and Databases All Just Get Along? Joshua Hight Software Engineer @Stytch Availability is a tricky thing. In order for your tier 0 endpoints to be available all their hard dependencies have to be available. For Stytch that means basically network, compute, database, and messaging providers. 13:35 Pacific LM Sponsored Introduction to Real-Time Training and Scoring in AI/ML Wes Wagner Solutions Engineer @Redpanda In the rapidly evolving landscape of AI/ML, the shift from batch to real-time data processing is significant. It impacts how quickly and dynamically we can learn from data, leading to more responsive AI applications. 14:45 Pacific LM Sponsored Simple Platform Engineering and Simply High Cardinality Observability Piyush Verma Co-Founder and CTO @Last9 Platform engineering transforms repetitive Engineering requirements into standardised and dependable services, or "paved roads". These paved roads offer engineering teams a smooth way to develop and deploy business logic layers continuously. 15:55 Pacific LM Sponsored LLMs + Knowledge Graphs = Better Together Mark Quinsland Senior Field Engineer @Neo4j LLMs are often like the know-it-all at a bar - they can quickly and confidently produce realistic sounding answers to just about any question - even if the answers are complete fabrications.