distributed system

MinBFT, Hyperledger Lab - Open Source Project to Develop Efficient Consensus Protocol

MinBFT, Hyperledger Lab - Open Source Project to Develop Efficient Consensus Protocol

February 29, 2020

Blockchain technologies are attracting a lot of attention from various communities. A consensus protocol is one of key parts; it is a process to make an agreement on a value among distributed nodes. I …
Scalable and Flexible Software-Platform for High-performance ECUs

Scalable and Flexible Software-Platform for High-performance ECUs

February 29, 2020

Scalable and flexible software-platform for high-performance ECUs (Philipp Viktorin, Elektrobit Japan K.K.) - The car is becoming the most complex internet device we have known so far and it will beco …
Chaos engineering: When the network breaks (sponsored by Gremlin)

Chaos engineering: When the network breaks (sponsored by Gremlin)

February 28, 2020

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.
Moving to a Service Mesh

Moving to a Service Mesh

February 25, 2020

Historically, Indeed has used Boxcar (Indeeds proprietary framework) to build distributed systems. Over the last year, we have been shifting several of our systems to use gRPC over anEnvoy service m …
Peeling Layers: A Deep Dive into Kubernetes Networking

Peeling Layers: A Deep Dive into Kubernetes Networking

February 25, 2020

Kubernetes is a platform that offers great extensibility and flexibility to its users. However, like most distributed systems, managing Kubernetes comes with its own set of challenges. Ensuring resili …
Service Mesh in a Nutshell

Service Mesh in a Nutshell

February 25, 2020

Software applications have evolved from monoliths to microservices in a move towards becoming Cloud Native. The Cloud provides numerous benefits over traditional platforms. However, transitioning towa …
The ultimate guide to complicated systems

The ultimate guide to complicated systems

February 25, 2020

Building and maintaining distributed systems is hard. Industry tools and recommended practices are evolving at an ever-increasing velocity. New platform choices reduce infrastructure management and add operational complexity obscuring the value of operation skills. Often, bureaucratic decisions drive practices and tool choices.
Kubernetes Housekeeping

Kubernetes Housekeeping

February 20, 2020

One of the big challenges of running large scale distributed systems like Kubernetes is managing resources. The efficiency and long term operational readiness of such systems depends on how well the r …
Service Mesh Up and Running in 5 Minutes

Service Mesh Up and Running in 5 Minutes

February 13, 2020

Service Mesh technology is super powerful and super complicated at the same time.With a service mesh, we are able to add complex network routing, telemetry and reporting, TLS security, fault injection …
Channel into the universe of eventually perfect distributed systems

Channel into the universe of eventually perfect distributed systems

January 22, 2020

Lena Hall takes you on an adventure into the multifaceted universe of ever-changing distributed systems.
Cultivating production excellence

Cultivating production excellence

January 21, 2020

Join Liz Fong-Jones to explore several practices core to production excellence: giving everyone a stake in production, collaborating to ensure observability, measuring with service level objectives, and prioritizing improvements using risk analysis.
Kubernetes APIs under the hood

Kubernetes APIs under the hood

January 20, 2020

Kubernetes provides a powerful set of APIs and abstractions for building distributed systems, and it provides users with the ability to build and install their own extension APIs alongside the core APIs. Phillip Wittrock covers how core Kubernetes APIs are designed and built and teaches the basics of writing an installable custom Kubernetes API.
Systems Tracing and Trace Visualization Lab

Systems Tracing and Trace Visualization Lab

January 20, 2020

The Trace Visualization lab introduces participants to system and application tracing and trace visualizations that are an invaluable techniques to understand in-depth system behavior and reach root-c …
Scaling teams with technology (or is it the other way around?)

Scaling teams with technology (or is it the other way around?)

January 19, 2020

Microservices and cloud native technologies is the path for building large-scale, distributed systems. Can it do the same for teams? Chen Goldberg leads the Google engineering team building Kubernetes, Istio, GKE, and Anthos and explains how the same tech can help build happy teams.
Security precognition: A look at chaos engineering in security incident response

Security precognition: A look at chaos engineering in security incident response

January 19, 2020

Chaos engineering allows security incident response teams to proactively experiment on recurring incident patterns to derive new information about underlying factors that were previously unknown. Join Aaron Rinehart to explore the hidden costs of security incidents, learn a new technique for uncovering system weaknesses in systems security, and more.
How Open Networking can Manage Large-Scale VPCs on Top of Clos Network Architecture

How Open Networking can Manage Large-Scale VPCs on Top of Clos Network Architecture

January 7, 2020

Modern Data Centers are based on Clos Network Architecture, which is extremely simple yet unfriendly to applications. It is common to build Software Defined Data Centers on top of it and use VPCs to h …
Build, train, and deploy ML with Kubeflow: Using AI to label GitHub issues

Build, train, and deploy ML with Kubeflow: Using AI to label GitHub issues

January 2, 2020

Turning ML into magical products often requires complex distributed systems that bring with them a unique ML-specific set of infrastructure problems. Using AI to label GitHub issues as an example, Jeremy Lewi and Hamel Husain demonstrate how to use Kubeflow and Kubernetes to build and deploy ML products.
Scaling Resilient Systems: A Journey into Slack's Database Service

Scaling Resilient Systems: A Journey into Slack's Database Service

December 20, 2019

Monitoring and observability are important concepts, especially in complex and distributed systems. Redundancy and defensive programming are important as well, but sometimes they are not enough. Desig …
Service Mesh: There and Back Again

Service Mesh: There and Back Again

December 20, 2019

You might have heard about service mesh and its amazing benefits. Maybe you believe its the next big thing, but will it truly meet expectations? As any start to a relationship, things look fun and ea …
Anatomy of testing in production: A Netflix original case study

Anatomy of testing in production: A Netflix original case study

December 19, 2019

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.
Weighing a Cloud: Measuring Your Kubernetes Clusters

Weighing a Cloud: Measuring Your Kubernetes Clusters

December 14, 2019

Kubernetes is complicated. Instrumenting it can be worse. Measuring the components of a distributed system shouldn't be as daunting as being asked to weigh a literal cloud.In this talk, we'll go over …
A Series of Fortunate CloudEvents

A Series of Fortunate CloudEvents

December 10, 2019

Serverless and Eventing are two ultra-popular areas of tech right now, describing a broad set of ideas and capabilities that can service a range of possible systems. We are told that these concepts wi …
gRPC Deep Dive: Prevent Your Service From Overtaking Itself

gRPC Deep Dive: Prevent Your Service From Overtaking Itself

December 8, 2019

In any distributed system, it is very common to have mismatched processing power on sending (client) and receiving (server) side. This can result in failures or excessive buffering of messages on eith …
Beyond Getting Started: Using OpenTelemetry to Its Full Potential

Beyond Getting Started: Using OpenTelemetry to Its Full Potential

December 4, 2019

OpenTelemetry is a cloud-native set of APIs and libraries used to generate, collect, and export telemetry from distributed systems. This session goes beyond a basic introduction, and demonstrates how …
To Infinite Scale and Beyond: Operating Kubernetes Past the Steady State

To Infinite Scale and Beyond: Operating Kubernetes Past the Steady State

December 3, 2019

Operating large distributed systems at significant scale is challenging. Most discussions focus on scalability either at a single point in time under sustained load, or explore challenges related to c …
Wait, People Run Kubernetes on Mainframes?

Wait, People Run Kubernetes on Mainframes?

November 30, 2019

When you think of container orchestration mainframes probably aren't the first thing that come to mind.But modern mainframes run Linux as a first class citizen and KVM can be used for virtualization, …
Keynote: Finding the Joy in Chaos Engineering

Keynote: Finding the Joy in Chaos Engineering

November 28, 2019

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 …
Walk-through: Debugging an RBAC Problem in Istio (But Without the Swearing)

Walk-through: Debugging an RBAC Problem in Istio (But Without the Swearing)

November 24, 2019

A few months ago, I lost a whole day to debugging a problem with RBAC in Istio. I swore a lot, but I also learned a lot. I learned new tools, new interfaces, and the rabbit hole took me past most majo …