Catchpoint Customer Case Studies

Event: AppDev Field Day 1

Appearance: Catchpoint Presents at AppDev Field Day 1

Company: Catchpoint

Video Links:

Personnel: Brandon DeLap

This presentation covers Catchpoint customer use cases, with various customers enhancing their internet resilience. It highlights the platform’s widespread adoption among top digital companies, cloud providers, and CDN providers. A specific case study of SAP is presented, illustrating their transition from a reactive to a proactive approach in managing their hybrid cloud platform. This shift resulted in significant improvements, including a reduction in time to identify issues from 180 minutes to 3 minutes, a decrease in SLA violations from 16% to 0.1%, and a drop in total incidents from 25,000 to 2,000 per year. The discussion emphasizes the importance of a cultural change towards proactive management and the potential benefits of incentivizing IT performance, suggesting the establishment of a chief resilience officer to prioritize resilience at the executive level.


Catchpoint Internet Resilience Platform Demo

Event: AppDev Field Day 1

Appearance: Catchpoint Presents at AppDev Field Day 1

Company: Catchpoint

Video Links:

Personnel: Brandon DeLap, Mehdi Daoudi

This section shows the secret sauce of how Internet Resilience can be achieved. In this demonstration, Brandon showcases the capabilities of the Catchpoint IPM platform. Seamless Internet Stack telemetry integration reinforces how signals from the different telemetry combine to quickly find root cause, contributing factors, or fault isolation. This demonstration is conducted without leaving the Catchpoint portal for its products, but it does discuss integration capabilities using APIs and webhooks for data, visuals, and alerts.


Catchpoint Incident Analysis User Scenario

Event: AppDev Field Day 1

Appearance: Catchpoint Presents at AppDev Field Day 1

Company: Catchpoint

Video Links:

Personnel: Brandon DeLap

In this section, Brandon eloquently describes a sample Catchpoint Platform flow for end-to-end navigation of a hypothetical incident. The flow starts with how an incident symptom may present itself followed by a drilldown of top-line service health, through stack components, an inspection of user journeys, and down to lines of code. The flow continues with a post-incident communication which includes answers to critical questions like “What was the impact?” and “What was the duration?” The flow then concludes with Blameless postmortems and optimizations/recommendations to reduce the frequency, duration, and impact of future incidents.


Catchpoint Platform, Solution, and Product Overview

Event: AppDev Field Day 1

Appearance: Catchpoint Presents at AppDev Field Day 1

Company: Catchpoint

Video Links:

Personnel: Mehdi Daoudi

Mehdi talks through the escalator construct of how Catchpoint’s unique monitoring and observability telemetry are foundational to mitigating incident impact and providing businesses with a resilient internet. The Catchpoint IPM Platform offers five experience-based solutions for your customers (Customer Experience solution), workforce (Workforce Experience solution), applications (Application Experience solution), networks (Network Experience solution), and websites (Website Experience solution). These solutions are comprised of the following products: Synthetics, Internet Synthetics, Real User Monitoring ‘RUM’, BGP Monitoring, the gold standard WebPageTest, Endpoint Monitoring, Internet Sonar, Internet Stack Map, and Tracing (based on OTeL). For the non-real user products, Mehdi discusses the importance and duty of why Catchpoint offers the largest, most diverse, and commercial active monitoring network in the world. Is then discussed how these solutions, products, and active monitoring network give the widest end-to-end visibility from an outside-in perspective before explaining why this approach is critical compared with traditional inside-out approaches.


Who is Catchpoint and What Do We Do?

Event: AppDev Field Day 1

Appearance: Catchpoint Presents at AppDev Field Day 1

Company: Catchpoint

Video Links:

Personnel: Mehdi Daoudi

Listen as Mehdi Daoudi talks through their humble beginnings and the origin of the need for Internet Performance Monitoring (IPM). Mehdi elaborates on the pervasive nature of digital experiences and how they are shaped by the world’s biggest brands. The presentation then posits the criticality of The Internet as your new application infrastructure before continuing to explain both the limitations of traditional Application Performance Monitoring (APM) and how IPM is purpose built to give deeper visibility into The Internet Stack – where agent-based APM has no reach. These critical points are catalyzed by a discrete explanation of The Internet Stack versus the application stack before asking a critical question: “What are you prepared to lose?” when Internet outages occur.


Don’t Limit What You Log But Optimize What You Analyze with Mezmo

Event: AppDev Field Day 1

Appearance: Mezmo Presents at AppDev Field Day 1

Company: Mezmo

Video Links:

Personnel: Bill Meyer

In this demo by Mezmo, you will learn steps DevOps, SREs, and Platform Engineers can take to understand their telemetry data (logs, metrics, traces, events) by data profiling, optimize it for cost and volume for observability platforms, and respond to changing application context using alerts on data-in-motion or routing data through alternate paths in case of any incident. In this session, you’ll learn how a telemetry pipeline can help lower observability costs, improve security and compliance, and provide business insights to maximize the outcomes of your data strategy.

The session will demonstrate:

  1. Data profiling to identify meaningful application logs vs. OS, repetitive, and redundant logs, separating signal from noise.
  2. How stateful pipelines help with the real-time detection of data aberrations.
  3. Strategies to reduce log volumes, and capture and process any sensitive data/PII in logs before it reaches observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk.


Control Your Telemetry Data with Confidence with Mezmo

Event: AppDev Field Day 1

Appearance: Mezmo Presents at AppDev Field Day 1

Company: Mezmo

Video Links:

Personnel: Bill Meyer, Tucker Callaway

Controlling telemetry data (logs, metrics, events, traces) has been a fundamental challenge as the data volumes increase and budgets decrease. Data’s continuous growth and dynamic nature cause DevOps and security teams to lose confidence in the data captured. On the other hand application developers are under pressure to minimize log generation to limit observability costs but are held responsible when the absence of logs increases MTTx for debugging and troubleshooting. This session discusses how Mezmo telemetry pipelines help organizations have confidence in their data by enabling them to understand telemetry data, optimize it for observability and security, and deliver responsiveness by detecting aberrations while data is in motion. This approach ensures cost control, business insights, and faster incident response.

The presentation by Mezmo at AppDev Field Day, led by Tucker Callaway, CEO, and supported by Bill Meyer, a principal sales engineer, focused on the challenges and solutions related to managing telemetry data (logs, metrics, events, traces) in organizations. Tucker introduced Mezmo’s role in solving observability problems since 2015, highlighting their experience with large-scale data handling and their partnership with major organizations like IBM Cloud.

The core discussion revolved around the increasing volume of telemetry data and the associated costs, which do not correspond to the value derived from the data. Mezmo addresses this issue through their telemetry pipelines, which allow organizations to take control of their telemetry data by enabling functionalities such as understanding, optimizing, and responding to data in real-time. This approach facilitates cost control, enhances business insights, and accelerates incident response times.

Tucker elaborated on the concept of telemetry data, emphasizing its unique characteristics compared to business data. He introduced the telemetry pipeline as a new control point for enterprises, enabling them to manage data effectively by routing, normalizing, enriching, and transforming it according to their needs. This system prevents over-reliance on external vendors and promotes internal management of data, ensuring compliance and reducing costs.

The presentation also touched on the challenges application developers face in balancing the generation of logs with observability costs and the pressures of debugging and troubleshooting. Mezmo’s solution helps bridge the communication gap between developers and platform engineers/SREs, facilitating better data management and operational efficiency.

Bill Meyer contributed by discussing the technical aspects of Mezmo’s platform, including data profiling, in-stream data aggregation, and dynamic adjustments to data handling in response to changes in the system or data structure. He also highlighted the importance of owning and understanding telemetry data to leverage it fully for operational and business insights.


What’s New with Google Cloud Run?

Event: AppDev Field Day 1

Appearance: Google Cloud Presents at AppDev Field Day 1

Company: Google Cloud

Video Links:

Personnel: Sridhar Venkatakrishnan, Yunong Xiao

Cloud Run: The Serverless Platform for Developer Velocity and Enterprise-Grade Workloads. In this session, discover how Cloud Run, Google Cloud’s serverless platform, empowers developers to rapidly build and scale websites, APIs, and data processing workloads. Explore Cloud Run’s key features and learn how its latest advancements make it an enterprise-ready solution for your applications.

The presentation by Yunong Xiao and Sridhar Venkatakrishnan at AppDev Field Day focused on Google Cloud’s serverless platform, Cloud Run. They highlighted Cloud Run’s ability to empower developers to rapidly build and scale applications such as websites, APIs, and data processing workloads without managing infrastructure. Key features include its integration with Google’s AI products, leading developer experience, strong compliance and security posture, and the scalability derived from Google’s infrastructure.

Yunong Xiao emphasized Cloud Run’s efficiency in getting applications from development to production, its seamless integration with Google’s AI tools like Gemini Code Assist, and its fully managed environment which abstracts underlying complexities, allowing developers to focus on application logic rather than infrastructure.

Sridhar Venkatakrishnan discussed Cloud Run’s enterprise capabilities, explaining how it meets the needs of large organizations through features like direct VPC connectivity, allowing enterprises to securely connect their Cloud Run services to their private network. He also mentioned new features like automatic security updates for containers and multi-region deployment capabilities to enhance availability and security.

Visit https://cloud.google.com/run for more information.


Running GenAI Apps on Google Cloud

Event: AppDev Field Day 1

Appearance: Google Cloud Presents at AppDev Field Day 1

Company: Google Cloud

Video Links:

Personnel: Lisa Shen, Steren Giannini

Deploy Generative AI Apps with Cloud Run in Google Cloud with confidence and speed: In this session, you will learn about Gen AI use cases in Cloud Run and how to combine LangChain on Cloud Run with Cloud SQL’s pgvector and Vertex Endpoints to create generative AI applications.

In the presentation, Steren Giannini and Lisa Shen from Google Cloud discuss deploying Generative AI (GenAI) applications using Cloud Run on Google Cloud. They highlight how GenAI is transforming interactions with technology, both in AI-assisted development and in applications that incorporate language and other AI models.

The presenters introduced GenAI apps, emphasizing their transformative role in technology interaction. They specifically mentioned LangChain, a popular framework for building language-based applications, which integrates seamlessly with Cloud Run for easy and fast deployment. They also discussed the architecture of GenAI apps, focusing on a model called Retrieval-Augmented Generation (RAG). This model enriches language model responses by querying a database with context data, improving accuracy.

Lisa Shen demonstrated the deployment process and operation of a GenAI app using Cloud Run, showcasing the ease of integrating with other Google Cloud services like Cloud SQL and Vertex AI. The demo involved setting up a web app to answer queries about Cloud Run features using data indexed from release notes stored in a vector database. They emphasized Cloud Run’s scalability, cost-effectiveness (scaling down to zero when not in use), and ease of use, which simplifies the deployment and management of containerized applications without the need to manage infrastructure.

Colab for the demo: https://codelabs.developers.google.com/codelabs/build-and-deploy-a-langchain-app-on-cloud-run


Juniper Mist Wired Assurance with Sunalini Sankhavaram

Event: Mobility Field Day 11

Appearance: Juniper Networks Presents at Mobility Field Day 11

Company: Juniper Networks

Video Links:

Personnel: Sunalini Sankhavaram

Wired Assurance is the fastest way to deploy and the easiest way to scale and manage switching. Learn about the most recent SLE enhancements and Wired Dynamic Packet Capture.


Juniper Mist Indoor Location Services and Premium Analytics

Event: Mobility Field Day 11

Appearance: Juniper Networks Presents at Mobility Field Day 11

Company: Juniper Networks

Video Links:

Personnel: Sunalini Sankhavaram

In this video, we’ll discuss the latest AIOps innovations including multifloor AP placement, client session enhancements, and business insights for IT & LOB.


Juniper Mist Access Assurance (NAC)

Event: Mobility Field Day 11

Appearance: Juniper Networks Presents at Mobility Field Day 11

Company: Juniper Networks

Video Links:

Personnel: Slava Dementyev

Discover how simplified posture validation offers visibility and enforcement for device compliance and access policies. We’ll also explore the power of cloud-native Eduroam.


Juniper Mist Wireless Updates and Innovations with Wes Purvis

Event: Mobility Field Day 11

Appearance: Juniper Networks Presents at Mobility Field Day 11

Company: Juniper Networks

Video Links:

Personnel: Jussi Kiviniemi, Wes Purvis

In this session, Wes Purvis discussess in-depth Wi-Fi 6E troubleshooting, AFC power considerations, and new innovations for RF design and troubleshooting for Juniper Mist wireless environments.


Juniper Networks Marvis Update – Mini’s Digital Experience Twins

Event: Mobility Field Day 11

Appearance: Juniper Networks Presents at Mobility Field Day 11

Company: Juniper Networks

Video Links:

Personnel: Bob Friday, Sudheer Matta

Marvis, the industry’s first AI-Native VNA, provides extensive insight and guidance to IT staff via a natural language conversational interface. Learn about the latest innovations with Marvis Mini’s digital experience twins, updated SLE’s, and troubleshooting.


Juniper AI-Native Network Platform – Momentum and New Developments

Event: Mobility Field Day 11

Appearance: Juniper Networks Presents at Mobility Field Day 11

Company: Juniper Networks

Video Links:

Personnel: Jeff Aaron, Sujai Hajela

Juniper’s AI-Native Networking delivers seamless and secure Wi-Fi at scale with the fewest tickets, fastest deployments, and quickest problem resolution. Learn about the latest innovations that assure the best user experiences for users and IT teams in this update. Also, get an overview of the big announcements made during this session.


An Inside Look at Ubiquiti UniFi’s Software

Event: Mobility Field Day 11

Appearance: Ubiquiti Presents at Mobility Field Day 11

Company: Ubiquiti

Video Links:

Personnel: Andrew Pieper

Andrew explores the UniFi software experience, showcasing UniFi’s multi-site capabilities including global admin management and SD WAN traffic orchestration. He also talks more about UniFi’s design philosophy advocating for intuitive dashboards, rich analytics, and useful troubleshooting tools to facilitate network administration.


Exploring Wi-Fi 7 – Ubiquiti UniFi’s Latest Innovation

Event: Mobility Field Day 11

Appearance: Ubiquiti Presents at Mobility Field Day 11

Company: Ubiquiti

Video Links:

Personnel: Tom Hildebrand

Learn how UniFi is making Wi-Fi 7 accessible beyond just high-budget environments. Tom leads a comprehensive exploration of the 802.11be standard, examining groundbreaking features such as Multi-Link Operation (MLO), Preamble Puncturing, and Restricted Target Wake Time (RTWT). Understand how these enhancements address both current and future enterprise Wi-Fi challenges, with practical insights into PCAP and beacon analysis to ensure seamless integration with legacy devices.


What is Ubiquiti UniFi – Enabling Value-Driven IT Management for Enterprises

Event: Mobility Field Day 11

Appearance: Ubiquiti Presents at Mobility Field Day 11

Company: Ubiquiti

Video Links:

Personnel: Craig Wojtala

Craig discusses how UniFi evolved into a holistic IT platform, delivering Wi-Fi, networking, surveillance, VoIP, and more—all in one pane of glass, and license-free. UniFi prides itself on three pillars of value: quality hardware, a customer-centric business model, and accelerating software innovation. Despite its roots in the SMB space, UniFi’s delivery of high-capacity hardware, full-featured software, and premium support offerings has fueled rapid expansion in the enterprise space.


eino.ai Deep Dive and Demo From Digital Twins to AI-Assisted Design Automation

Event: Mobility Field Day 11

Appearance: Introducing eino at Mobility Field Day 11

Company: eino

Video Links:

Personnel: Payman Samadi

Join us for a focused exploration of eino.ai’s advanced network planning capabilities. We will begin with automated digital twin creation for both indoor layouts and outdoor terrain and clutter data. Our demonstration will highlight how our AI-Assistant enhances the design process based on specific coverage and capacity criteria, showcasing tailored solutions for diverse use cases and validation using site survey data. We will wrap up with a dynamic end-to-end demonstration across three scenarios: indoor WiFi, outdoor Private Cellular, and fixed wireless design, illustrating how eino.ai streamlines network planning to achieve efficient and effective outcomes.


Introducing eino.ai – Enhancing Network Planning with AI Assistance

Event: Mobility Field Day 11

Appearance: Introducing eino at Mobility Field Day 11

Company: eino

Video Links:

Personnel: Payman Samadi

The complexity of wireless network planning is escalating. As technologies like WiFi, Private Cellular, and LoRaWAN converge to meet the demands of Industry 4.0 and new digital experiences, they lead to extended planning cycles and increased costs due to the need for specialized expertise. Enter AI: a transformative force that can streamline and automate complex network planning workflows. eino.ai leverages artificial intelligence to automate routine tasks and infuse expert knowledge throughout the planning process, resulting in faster, more cost-effective network deployments without compromising quality. Discover how eino.ai can transform your network planning and validation, making it smarter and more economical.


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