[TALK]@Telematika

Talks & Presentations Collection

PinTrace: A distributed tracing pipeline
December 14, 2019

PinTrace: A distributed tracing pipeline

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.

Predictive system performance data analysis (sponsored by Salesforce)

Predictive system performance data analysis (sponsored by Salesforce)

December 14, 2019

Jasmin Nakic and Samir Pilipovic examine the application of a linear regression predictive model on time series performance data, discussing and evaluating different models to find the optimal choice for a given dataset. All steps will be supported with Python-based scripts so that you can easily implement similar models on your own data.
Preventing cascading failures in a global network (sponsored by Verizon Digital Media Services)

Preventing cascading failures in a global network (sponsored by Verizon Digital Media Services)

December 14, 2019

Cascading failures are every team's worst nightmare. Without the right monitoring, alerting, and containment in place, the failure of a system's key part can quickly result in the entire system failing. Dave Andrews shares strategies for addressing cascading failures at various scales, on a single system, within a given data center and in a globally distributed environment.
Removing engineering friction: Creating an evolutionary culture (sponsored by SignalFx)

Removing engineering friction: Creating an evolutionary culture (sponsored by SignalFx)

December 14, 2019

Phillip Liu explores the one thing that has become a driver of ever better engineering: constant removal of friction for engineers to not only build and ship code but also understand how code is used and how it works and operates. The end result is a culture that promotes many possible ways to address given challenges and surfaces novel approaches, which may have never arisen otherwise.
Unified Monitoring of Containers and Microservices [I]

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 …
Using Containers for Continuous Integration and Continuous Delivery [I]

Using Containers for Continuous Integration and Continuous Delivery [I]

December 14, 2019

Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but it increases complexity when scaling to multiple nodes and clusters. Jenkins is an example …
Deploying to Kubernetes Thousands of Times Per/Day

Deploying to Kubernetes Thousands of Times Per/Day

December 13, 2019

Connecting all the pieces to make zero downtime continuous delivery happen at scale. We'll show real teams bring all the components come together to make high-velocity deployment to Kubernetes scale. …
DevOps Friendly Doc Publishing for APIs & Microservices

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 …
Establishing Container Trust at Scale [I]

Establishing Container Trust at Scale [I]

December 13, 2019

Quantifying risks in a container image is a critical aspect of production deployments. With orchestration clusters supporting thousands of nodes, any risk assessment solution must work at production s …
Full Stack Visibility with Elastic: Logs, Metrics and Traces

Full Stack Visibility with Elastic: Logs, Metrics and Traces

December 13, 2019

"With microservices every outage is like a murder mystery" is a common complaint. But it doesn't have to be! This talk gives an overview on how to monitor distributed applications. We dive into: Syst …
Kata Containers: Hypervisor-Based Container Runtime

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]

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 …
Prometheus Salon

Prometheus Salon

December 13, 2019

The Prometheus Salon will feature talks from Prometheus developers, including an introduction to Prometheus for beginners, a closer look at how you can use Prometheus to monitor your Kubernetes cluste …
Resiliency in a service provider world (sponsored by NS1)

Resiliency in a service provider world (sponsored by NS1)

December 13, 2019

Today we depend upon service providers (for storage, compute, network, DNS, CDN, and much more) to build and deliver our applications. Even when the most sophisticated service providers on the internet failand they doits still possible to build resilient applications. Kristopher Beevers explores how ops teams and developers are thinking about resiliency in a service provider world.
Scale it to a billion: How to build it, keep it safe, and keep it running

Scale it to a billion: How to build it, keep it safe, and keep it running

December 13, 2019

Pete Cheslock shares the operational and security practices that helped Threat Stack scale while staying stable and secure, covering technology and tools and the various scale points that forced hard decisions.
Scaling a user delivery network for real-time audience targeting

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.
Scaling HBase for big data (sponsored by Salesforce)

Scaling HBase for big data (sponsored by Salesforce)

December 13, 2019

Even though HBase is considered a highly scalable distributed solution, there are cases where the schema design of HBase tables or the way a client uses an HBase cluster may impact the scalability factor of HBase. Ranjeeth Karthik Selvan Kathiresan and Gurpreet Multani outline the most important things to consider when scaling your HBase cluster to accommodate high-volume and high-velocity data.
Scheduling containers with Kubernetes: Is it that different than other schedulers?

Scheduling containers with Kubernetes: Is it that different than other schedulers?

December 13, 2019

Kubernetes has emerged as one of the leading container orchestrators. Sebastien Goasguen explores its architecture and compares it with other orchestration/scheduling systems, outlining the similarities and explaining why Kubernetes API primitives make all the difference.
Scheduling deep dive for orchestration systems

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

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

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.
The Art of Documentation and Readme.md for Open Source Projects

The Art of Documentation and Readme.md for Open Source Projects

December 13, 2019

The Readme is becoming essential to successful Open Source projects. The Readme is a gateway to welcoming new users and potential contributors. It defines the tone of the project, how to get started a …
The Power of Application Intent Analysis for Container Security [I]

The Power of Application Intent Analysis for Container Security [I]

December 13, 2019

As containers gain mainstream momentum and cloud-native applications surge, practices such as DevOps culture, continuous delivery, cloud development and containerization require a reinvention of secur …
Would You Like Some Tracing With Your Monitoring?

Would You Like Some Tracing With Your Monitoring?

December 13, 2019

Understanding how your microservices based application is executing in a highly distributed and elastic cloud environment can be complicated. Distributed tracing has emerged as an invaluable technique …
14 ways to bounce a ball: A tour of the web animations ecosystem

14 ways to bounce a ball: A tour of the web animations ecosystem

December 12, 2019

There are more options than ever for animating things on the web. Bryan Braun leads a tour of the web animations ecosystem, comparing animation approaches in detail and exploring the principles that transcend them all. To do this, Bryan uses lessons learned from building and maintaining Bouncy Ball, a project that compares web animation approaches (think, a TodoMVC for web animation).
Bottoms-Up Adoption of a Microservices Workflow Using Kubernetes & Envoy

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 …
CRI-O: All the Runtime Kubernetes Needs, and Nothing More

CRI-O: All the Runtime Kubernetes Needs, and Nothing More

December 12, 2019

CRI-O is a brand new container runtime dedicated and optimized to support kubernetes workload. Its goal is to be a stable container runtime tied to kubernetes releases, replacing the docker daemon. H …
Distributed Workflows for Microservices-Style Applications [I] - Yun Qin, Nirmata

Distributed Workflows for Microservices-Style Applications [I] - Yun Qin, Nirmata

December 12, 2019

Microservices-style architectures solve several problems but also introduce new complexities. With Microservices, a best practice is to keep services isolated and loosely coupled. However, in the real …