infrastructure

Mini

December 16, 2019

The Network Automation & Orchestration Summit Mini-Summit schedule is below. 10:30am - 11:00amONAP Welcome - Message from the Chairman of the Board, Chris Rice, AT&T; President of the Board, Yachen …

OPEN-O DevOps Practice with Automation Tool Chain

December 16, 2019

In this talk, we will share the experience of integrating and testing for the OPEN-O project. The OPEN-O community were able to integrate 40 upstream project source code repositories and have the firs …

Genesis: Automating data center management with help from PXE and Chef

December 15, 2019

The flexibility and speed offered by cloud computing solutions have raised the bar for bare metal deployments. Automation is essential to speedy, reliable provisioning and capacity management. David Radcliffe explores the tools Shopify uses, such as Genesis, to automate its data center and empower developers to move quickly and keep up with the times.

Internet traffic growth: Why platforms are critical for developers (sponsored by Akamai)

December 15, 2019

Using statistics about internet traffic patterns and growth from the past decade as a backdrop, Corey Scobie shares insights as to how and why edge computing clouds are so critical to the success of builders of scalable apps.

Lessons and best practices learned from monitoring next-generation infrastructure (sponsored by SignalFx)

December 15, 2019

Modern infrastructure and DevOps practices are evolving rapidly. These trends pose a new set of monitoring challenges. Arijit Mukherji shares real-world examples demonstrating what these challenges are, some approaches that worked, and metrics system capabilities that helped SignalFx deal with the challenge.

Orchestrating chaos: Applying database research in the wild

December 14, 2019

Lineage-driven fault injection (LDFI), a novel approach to automating failure testing, can greatly reduce the number of faults that must be explored via fault injection. Peter Alvaro explores LDFIs theoretical roots in the database research notion of provenance and presents early results from the field and opportunities for near- and long-term future research.

PinTrace: A distributed tracing pipeline

December 14, 2019

Distributed tracing is an emerging field of monitoring distributed systems. Suman Karumuri shares the challenges of building and deploying distributed tracing at scale using PinTrace, one of the largest distributed tracing pipelines. Drawing on real-world examples, Suman explains how traces can be used to understand, debug, and optimize your production workflows.

Unified Monitoring of Containers and Microservices [I]

December 14, 2019

Microservices are become critical for enterprise strategy towards simplifying their IT landscape. For a successful journey of microservice adoption, Container management, DevOps and Monitoring play an …

DevOps Friendly Doc Publishing for APIs & Microservices

December 13, 2019

Microservices create an explosion of internal and external APIs. These APIs need great docs. Many organizations end up with a jungle of wiki pages, swagger docs and API consoles. Keeping docs updated …

Kata Containers: Hypervisor-Based Container Runtime

December 13, 2019

Kata Containers is a merge of 2 hypervisor based container runtime efforts: Hyper's runV and Intel's Clear Containers. With Kata Containers, each container is hypervisor isolated just like an EC2 or G …

Next Generation Services at Indeed Using gRPC [I]

December 13, 2019

At Indeed, we use an internal framework for interprocess communication called Boxcar. Boxcar was developed in 2010 and provides built-in advantages when used with Indeeds infrastructure. This framewo …

Scaling a user delivery network for real-time audience targeting

December 13, 2019

Adam Shepard peels back the covers on a user delivery networka worldwide distributed data store powering over 80 billion transactions a day at millisecond speed. Join in to learn about eventually consistent data architectures, tiered and hybrid storage layers, and what it takes to manage that much data at scale.

Scheduling deep dive for orchestration systems

December 13, 2019

Orchestration systems all have different design trade-offs. Despite best efforts, these choices are not always clear to developers using these systems. Dharmesh Kakadia describes the fundamentals of scheduling and explores the scheduling algorithms implemented by various orchestration systems, highlighting similarities, differences, and the consequences of the design choices for the users.

Software-defined culture

December 13, 2019

Conway's law tells us that "organizations which design systems. . .are constrained to produce designs which are copies of the communication structures of these organizations." What if we turn Conway's law around? Timothy Gross explores how to make technology choices that improve the culture of your organization.

Standing on the shoulders of giants: Unleashing the power of scriptable load balancers

December 13, 2019

Once reserved for companies large enough to write a load balancer from scratch, load balancer middleware can be a powerful tool for scaling applications. Emil Stolarsky and Justin Li explain how Shopify uses scriptable load balancers to solve difficult infrastructure problems, such as sharding across data centers, handling flash sales, and responding quickly to DDoS attacks.

Bottoms-Up Adoption of a Microservices Workflow Using Kubernetes & Envoy

December 12, 2019

Many organizations start their microservices journey by (re)designing their application architecture and operational infrastructure. We started building our cloud application using this approach. We d …

The false dichotomy of finders versus fixers (sponsored by SOASTA, now a part of Akamai)

December 12, 2019

Most tools designed to help you manage your systems fall into two categories: finders, such as monitoring services and log file analyzers, or fixers, such as cloud infrastructure providers or container orchestration. It's up to you to translate information from your finders into actions for your fixers. Cliff Crocker explains how to use intelligent analytics to connect data to actions.

The Mechanics of Deploying Envoy at Lyft

December 12, 2019

The idea of the "service mesh" is becoming very popular in microservice design circles. However, the mechanics of deploying one into an existing infrastructure are far from simple. In this talk we wil …

The True Costs of Running Cloud Native Infrastructure [B]

December 12, 2019

Never before have organizations wrestled with as much choice in how they compute and where they compute. The public cloud offers freedom from lead times and elasticity to manage changing workloads, bu …

WG Container Identity Update

December 12, 2019

Decomposing applications into containers and microservices has many advantages but it creates a foundational problem: we need a reliable and secure way to identify all of the pieces. Kubernetes runs y …

Building an Edge Computing Platform for Network Services Using Cloud Native Technology [I]

December 11, 2019

Edge computing have become increasingly important due to the demands of latency sensitive applications and explosion of data from end user devices in cases such as Internet of Things (IoT). One common …

Queueing Theory, In Practice: Performance Modelling in Cloud-Native Territory [I]

December 11, 2019

Kubernetes and similar cloud-native infrastructure make it easier than ever to adjust a service's capacity based on variable demand. In practice, it's still hard to take observed metrics, and translat …

Building a Secure, Multi-Protocol and Multi-Tenant Cluster for Internet-Facing Services [A]

December 10, 2019

Exposing internal HTTP-based services to the Internet is a well supported and documented feature of Kubernetes. What's less well understood is how to do it for thousands of services running on behalf …

If you Dont Monitor your Infrastructure, you Dont Own it! Regain Control Thanks to Prometheus [I]

December 10, 2019

In the French FedEx company we used Prometheus to monitor the infrastructure. It hosts a CQRS Architecture composed with Kafka, Spark, Cassandra, ElasticSearch, and microservices APIs in scala. This …

The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications to Kubernetes [B]

December 10, 2019

Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native ap …

Building a Cluster Management API using Kubicorn [A]

December 9, 2019

Kris Nova (Heptio) and Robert Bailey (Google) join forces and begin the difficult task of looking into the future of the infrastructure layer of Kubernetes. We start the talk with a brief summary of t …

Kubernetes Deconstructed: Understanding Kubernetes by Breaking It Down [I]

December 9, 2019

Understanding Kubernetes as a whole can be daunting. With so many different components working together it can be hard to know how the pieces work together or where new products and features fit in. I …

Preventing Attacks at Scale [I]

December 8, 2019

Security hardening for containers, clusters, and operating systems is a very important part of setting up infrastructure and always "Plan A". The world of "Plan A" defends the importance of making sur …