== Intro == Telemetry / Monitoring, also known as Observability, as been a hot topic in the software industry for few years. With so many moving pieces, the mindse …

IPv6 anycast is increasingly being used to provide geoproximity, fault-tolerance and load balancing solutions for services that are available from multiple points …

Ho-Ming Li outlines how to use chaos engineering to accelerate your understanding of how your network can break (packet loss, black hole attacks, latency injection, and packet corruption) and impact your services.

Julia Biro explains technical solutions and insights from building a true multiregion active-active file service using Lambda@Edge and S3 (with buckets in multiple AWS regions).

Thoughts of system outages in multi-component and multi-environment REST architectures keep even hardened engineers and managers up at night. Managing the end-to-end validation to guard against this c …

Failures or issues in a product or service can negatively affect the business. Detecting issues in advance and recovering from them is crucial to keeping the business alive. Join Akshay Rai to learn more about LinkedIn's next-generation open source monitoring platform, an integrated solution for real-time alerting and collaborative analysis.

You're sick of grepping through logs, hunting down the cause of last night's outage. Your team dreams of refactoring to better architecture but struggles to get started amid the spaghetti code. Production meets all performance objectives only because you can't measure it. Join Isobel Redelmeier to learn how to apply distributed tracing for better debugging, performance analysis, and refactoring.

Alex Elman explains how Indeed used a site-wide outage as an opportunity to build resilience, improve reliability, and make lasting improvements to the engineering culture.

John Chapin explains howin this brave new world of managed services and platformsyou can use serverless technologies and an infrastructure-as-code mind-set to architect, build, and operate resilient systems that survive even massive vendor outages.

Osman Sarood and Chunky Gupta discuss Mists real-time data pipeline, focusing on Live Aggregators (LA)a highly reliable and scalable in-house real-time aggregation system that can autoscale for sudden changes in load. LA is 80% cheaper than competing streaming solutions due to running over AWS Spot Instances and having 70% CPU utilization.

So you think you can test your complex distributed application effectively just using your test environment? At Netflix, automated testing of client and server applications runs at scale in production. It has quickly gone from low-volume manual mode to automated continuous and voluminous mode. Vasanth Asokan offers a study of such testing at scale that will inform your overall testing strategy.

Disk speed screeches to a crawl, packets get dropped, connections time out: welcome to the cloud! Most of the time the cloud "just works", but when it doesnt, how does Kubernetes and etcd handle fail …

Learn how Target and Gremlin have built a resiliency engineering capability that enables teams to build more reliable systems. Hear how developing a strong culture around Chaos Engineering has paid of …

This talk is the EAGERLY-anticipated sequel to last year's "Kubernetes at Reddit: An Origin story". Whereas the saga's first installment focused on early results, thoughts, and a rough higher-level vi …

Kubernetes is a very powerful and complicated system, and many users dont understand the underlying systems. Come learn how your users can abuse container runtimes, overwhelm your control plane, and …

Historically, formal disaster recovery (DR) plans were only feasible for large enterprises. They could afford to allocate time, resources and the cost of duplicating a datacenter infrastructure. With …