metrics

Contextualizing your Splunk logs

Contextualizing your Splunk logs

January 23, 2020

In a daily fight to secure organizations, security analysts are inundated with a massive log set (if one is so fortunate), but with it comes a high signal-to-noise ratio. Increase your signal by adding context to your logs. Join Quiessence Phillips to learn about the type of context that could be added and the value of its addition.
Community Health Analytics Open Source Software (CHAOSS): An Open Source Community for Advancing Project Transparency - Jesus M. Gonzalez-Barahona, Bitergia;

Community Health Analytics Open Source Software (CHAOSS): An Open Source Community for Advancing Project Transparency - Jesus M. Gonzalez-Barahona, Bitergia;

January 21, 2020

CHAOSS is a new Linux Foundation project aimed at producing integrated, open source software for analyzing software development, together with defining implementation-agnostic metrics for measuring co …
Shifting to security awareness 2.0

Shifting to security awareness 2.0

January 21, 2020

Jason Hoenich explores the risks related to delivering poor awareness programs rather than adapting to changing needs and demands of the attack surface and learning behaviors of humans. Incorporating the key fundamental behavioral psychology nodes for establishing true culture change, and making the experience of the end user will move our programs to Security Awareness 2.0.
Can we make developers care about operations?

Can we make developers care about operations?

January 20, 2020

Can we make developers care about operations? Jrgen Cito shares real-world experience of developers struggling with operations and details a journey to incorporate runtime performance aspects into the developer's daily workflow and reduce performance problems reaching production.
Turning the Network: Lessons learned from redeploying an ISP's network

Turning the Network: Lessons learned from redeploying an ISP's network

January 19, 2020

This talk will go through the process Cox Business went through to upgrade our internal network. At the beginning of the project, the network consisted of a number …
Increasing visibility of distributed systems in production

Increasing visibility of distributed systems in production

January 18, 2020

Understanding the state of a running application is the key to efficiently troubleshooting production issues and ultimately anticipating outages. Pierre Vincent demonstrates how to make monitoring an integral part of development, using health checks, metrics, tracing, and other patterns to get a clearer picture of applications in production.
Monitoring containers: Follow the data

Monitoring containers: Follow the data

January 18, 2020

Using real-world metrics data from thousands of organizations, Jason Yee explores the latest trends in container adoption and use, shares data on what types of applications organizations are running in containers, and explains how to best monitor these containerized applications.
Network Telemetry at Yahoo!

Network Telemetry at Yahoo!

January 18, 2020

Providing 1 billion monthly active users with responsive, rich applications requires a large scale network. Locked within processes running on network devices are …
Practical, team-focused operability techniques for distributed systems

Practical, team-focused operability techniques for distributed systems

January 17, 2020

Matthew Skelton shares five practical, tried-and-tested techniques for improving operability with many kinds of software systems, including the cloud, serverless, on-premises, and the IoT.
An Internet-Wide Analysis of Traffic Policing

An Internet-Wide Analysis of Traffic Policing

January 16, 2020

Abstract: Large flows like videos consume significant bandwidth. Some ISPs actively manage these high volume flows with techniques like policing, which enforces a …
OpenTracing: One Instrumentation for Metrics, Logs and Distributed Tracing

OpenTracing: One Instrumentation for Metrics, Logs and Distributed Tracing

January 16, 2020

Understanding how your microservices based application is executing in a highly distributed and elastic cloud environment can be complicated. CNCF OpenTracing is a new standard to help provide observa …
Three "last conversations"

Three "last conversations"

January 15, 2020

Last year, Mindaugas Mozras's company was in dire straits. Its strategy was not working. All the key metrics were drifting downward. People left. The company even did a reorg. During this time, he had many last conversationssometimes trying to stop people from leaving, other times to let them go. Mindaugas relates three such conversations, sharing lessons on honesty and delivering bad news.
A hands-on data science crash course for modeling and predicting the behavior of (large) distributed systems

A hands-on data science crash course for modeling and predicting the behavior of (large) distributed systems

January 9, 2020

Data science is a hot topic. Bart De Vylder and Pieter Buteneers offer a practical introduction that goes beyond the hype, exploring data analysis, visualization, and machine learning techniques using Python for modeling the behavior of distributed systems. You'll leave with a solid starting point to implement data science techniques in your infrastructure or domain of interest.
Customer-centric observability

Customer-centric observability

January 8, 2020

With the recent flourishing of observability systems, there's no shortage of things to monitor. Sadly, humans have limited capacity to process them all. Mark McBride outlines three key metricsrequest rate, success rate, and the latency histogramthat provide a high-level abstraction of the customer experience. If these three metrics are good, your system is healthy from a customer perspective.
Instrumenting systems for arbitrary observability

Instrumenting systems for arbitrary observability

January 7, 2020

Observability (or lack thereof), like testability and maintainability, is a fundamental property of systems. But what does observable code look like? What instrumentation creates systems that are observable later in arbitrary ways, in circumstances you can't foresee? Baron Schwartz outlines the most useful things to know about observability in systems in production.
Automating cloud cluster deployment: Beyond the book

Automating cloud cluster deployment: Beyond the book

January 5, 2020

Speed and reliability in deploying big data clusters is key for effectiveness in the cloud. Drawing on ideas from his book Moving Hadoop to the Cloud, which covers essential practices like baking images and automating cluster configuration, Bill Havanki explains how you can automate the creation of new clusters from scratch and use metrics gathered using the cloud provider to scale up.
Applying Goals-Question-Metrics to Software Development Management

Applying Goals-Question-Metrics to Software Development Management

December 30, 2019

"If you can not measure it, you can not improve it". With that mantra on mind many people has tried to measure almost anything to success in their projects, and management tools usually provide tons o …
Next-generation intelligent applications require cognitive design.

Next-generation intelligent applications require cognitive design.

December 25, 2019

John Whalen explores the concept of cognitive design, describing how humans structure their commands to AI systems (syntax, word usage, prosody) and how to measure human reactions to AI responses using biometrics (facial emotion recognition, heart rate, GSR). Along the way, John shares insights into how to optimally architect the customer experience.
Accelerating data-driven culture at the largest media group in Latin America with Jupyter

Accelerating data-driven culture at the largest media group in Latin America with Jupyter

December 24, 2019

JupyterHub is an important tool for research and data-driven decisions at Globo.com. Diogo Munaro Vieira and Felipe Ferreira explain how data scientists at Globo.comthe largest media group in Latin America and second largest television group in the worlduse Jupyter notebooks for data analysis and machine learning, making decisions that impact 50 million users per month.
Defining a Metrics Strategy for Your Community

Defining a Metrics Strategy for Your Community

December 21, 2019

No metric is important but that one that is directly linked to the strategic goals of your community. Success is basically measured when the goals are achieved. Measuring things is 'easy' if you know …
Algorithms for hire

Algorithms for hire

December 20, 2019

Lindsey Zuloaga explains how machine learning from video interviews is disrupting the human resources space, bringing top candidates to the attention of recruiters and drastically reducing the time and energy companies spend finding and assessing potential employees.
A hands-on data science crash course for modeling and predicting the behavior of (large) distributed systems

A hands-on data science crash course for modeling and predicting the behavior of (large) distributed systems

December 17, 2019

Data science is a hot topic. Bart De Vylder offers a practical introduction that goes beyond the hype, exploring data analysis, visualization, and machine-learning techniques using Python for modeling the behavior of distributed systems. You'll leave with a solid starting point to implement data science techniques in your infrastructure or domain of interest.
Performance is about people, not metrics

Performance is about people, not metrics

December 17, 2019

Tammy Everts walks you through a brief history of UX and web performance research, highlighting key studies that connect the dots between performance and user experience and sharing some educated guesses about new metrics that are just around the corner.
How Shutterfly migrated 10+ billion photos to the cloud

How Shutterfly migrated 10+ billion photos to the cloud

December 15, 2019

Jack Chan describes how Shutterfly migrated metadata from over 10B photos from a private data center into AWS in 100 days and explores designs to absorb mountains of metadata, on-premises ecommerce integration, and parallel user experiences, all in a highly scalable fashion. Shutterfly Photos is now a hybrid cloud solution with images hosted on-premises and client-facing photos metadata on AWS.
Lessons and best practices learned from monitoring next-generation infrastructure (sponsored by SignalFx)

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.
Observability in a dynamically scheduled world

Observability in a dynamically scheduled world

December 14, 2019

Over the past year, DigitalOcean's Delivery team has been building a runtime platform based on Kubernetes with the goal of making shipping code easier. A core component of this system is a monitoring and alerting system based on Prometheus and Alertmanager. Sneha Inguva offers an overview of the system and shares problems encountered, potential solutions, and key lessons learned in the process.
Orchestrating multihomed cloud services for a fast and resilient edge

Orchestrating multihomed cloud services for a fast and resilient edge

December 14, 2019

With members in every corner of the world, LinkedIn has built services around six CDNs, numerous PoPs, and three DNS platforms. Samir Jafferali explains how LinkedIn uses big data to steer DNS intelligently, optimizes the CDNs for performance, mitigates DDoSes, and measures metrics using RUM and synthetic monitoring and shares best practices that edge teams of all sizes can benefit from.
Perception and bias and metrics, oh my! (sponsored by Catchpoint)

Perception and bias and metrics, oh my! (sponsored by Catchpoint)

December 14, 2019

Human perception and biases can influence how metrics are interpreted. While valid metrics can open lines of communication across and within teams, using vanity metrics or data to shame others can be counterproductive. Dawn Parzych explains how you can make a real and lasting impact on your organization by understanding the influence assumptions and biases have and how to present credible data.