Transforming the Next-Gen Firewall with Cisco Meraki Secure SD-WAN

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Networking Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

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Personnel: Chris Pacheco, Chris Weber

Join Cisco for an exclusive unveiling where the Meraki cloud’s capabilities meet the latest next-gen MX firewall advancements. Take a glimpse behind the scenes as Cisco reveals the industry’s first cloud-delivered orchestration behind the MX threat detection engine. Get an exclusive look at the Next-Gen MX operating system, featuring a security-centric architecture powered by Cisco’s VPP technology, offering unprecedented levels of scale and performance. The session concludes with insights into the seamless integration with Cisco XDR, designed to provide unparalleled threat visibility and response across your Meraki MX network landscape.


Cisco Catalyst SD-WAN for Industrial IoT Use Cases

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Meraki and Cisco Industrial IoT Present at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

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Personnel: Emmanuel Tychon

Watch this session to understand why Cisco is making the pivotal shift from traditional network management to Software-Defined Networking with SD-WAN for Industrial IoT customers. Although SD-WAN is already prevalent in enterprise networks, its application to industrial networks is a groundbreaking development. This session will delve into how this innovation improves automation, ease of use, and security, offering you valuable insights into the future of industrial networking. Don’t miss the opportunity to learn about these advancements and how they can benefit your network infrastructure.


Next Generation Cloud Management for Cisco Catalyst

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Meraki and Cisco Industrial IoT Present at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

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Personnel: Alex Burger, Mike Kendall, Stephen Orr

Join Cisco for an in-depth session as they unveil their latest innovation: the powerful IOS XE platform with integrated cloud management powered by Meraki. Cisco delves into how this architecture sets itself apart from the current generation and leverages this new design to expand into other Catalyst 9×00 hardware platforms, while automating and orchestrating the rich Catalyst features through the simplicity of the Meraki dashboard.

Cisco offers a behind-the-scenes tour of this cutting-edge architecture, highlighting its significance for your networks. They discuss the new use cases it facilitates, innovative network designs, and competitive advantages. Plus, Cisco provides an exclusive glimpse into what the future holds.


Cisco Networking Cloud Platform Vision with Juan Vela

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Meraki and Cisco Industrial IoT Present at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

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Personnel: Juan Vela

In this exclusive video, Juan Vela, Vice President of Marketing Strategy, dives into Cisco’s visionary approach to cloud networking, designed to revolutionize the way businesses connect, secure, and automate their operations in the cloud era.


Data Pipelines for AI – Qlik Connect 2024 Delegate Roundtable

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Connect 2024 Delegate Roundtable

Company: Qlik

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Personnel: Denny Cherry, Gina Rosenthal, Jay Cuthrell, Joey D'Antoni, Keith Townsend, Stephen Foskett

The roundtable discussion at Qlik Connect 2024, moderated by Stephen Foskett, featured Tech Field Day delegates Keith Townsend, Denny Cherry, Joey D’Antoni, Gina Rosenthal, and Jay Cuthrell. They discussed the intersection of data pipelines and AI, emphasizing the importance of data quality, sustainability, and community engagement.

Key takeaways included:

  • Sustainability and Business Context: The event highlighted NTT Data’s use of climate modeling data to make better business decisions, showcasing Qlik’s user-friendly approach to data-driven decisions.
  • AI Council and Data Protection: The Qlik AI Council was introduced at Qlik Connect, and the delegates praised Qlik’s longstanding commitment to sustainability and community.
  • Realistic AI Approach: The panelists appreciated Qlik’s nuanced approach to AI, balancing power consumption concerns with the potential benefits of AI in addressing climate change.
  • Data Quality Emphasis: Joey and Denny emphasized that the effectiveness of AI heavily depends on the quality of data, with Qlik focusing on transforming from a dashboard software company to a comprehensive data analytics provider.
  • Community and Ecosystem: The delegates noted Qlik’s strong community and ecosystem, which help users achieve business outcomes by simplifying complex problems through integrated solutions.
  • Data Governance and Security: The importance of data governance and security was stressed, with the acknowledgment that many organizations struggle with these foundational aspects.
  • Practical AI Implementation: The panelists discussed the importance of a progressive approach to AI, ensuring that business processes and data structures are well-defined before implementing advanced AI solutions.

Overall, the discussion highlighted Qlik’s commitment to providing a comprehensive, user-friendly platform for data and AI, while also addressing broader societal and environmental impacts.


Qlik Self-Service AI Demo

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Company: Qlik

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Personnel: Kyle Jourdan

Demos of Qlik’s AI/ML enhancements include:

  • Auto ML: No-code Automated Machine Learning for analytics teams. Create ML experiments, identify key drivers, and train models to predict outcomes.
  • Qlik Answers: Generative AI-driven answers from unstructured data, delivering personalized, relevant answers for better decision-making.

At the Tech Field Day Experience at Qlik Connect 2024, Kyle Jourdan showcased Qlik’s latest AI/ML enhancements through a comprehensive demo. The presentation highlighted two primary features: Auto ML and Qlik Answers, both designed to streamline and enhance data analytics for users.

Auto ML is a no-code Automated Machine Learning tool that enables analytics teams to create ML experiments, identify key drivers, and train models to predict outcomes without needing deep technical expertise. Kyle demonstrated the process of building an experiment to predict customer churn, emphasizing the ease of use and automation built into the tool. The Auto ML feature automatically handles complex tasks such as feature pre-processing, algorithm selection, and model optimization. It ensures users can generate accurate predictive models quickly by leveraging Qlik’s distributed compute environment for efficient model training. The demo also showcased the new embedded analytics capability, which allows users to visualize and understand model insights directly within the ML experiment interface, further simplifying the journey from data to actionable insights.

Qlik Answers, on the other hand, leverages generative AI to provide answers from unstructured data. This tool is designed to deliver personalized and relevant answers to user queries in natural language, making it accessible even to those without technical expertise. Kyle explained the concept of Retrieval-Augmented Generation (RAG), which allows the system to access and utilize internal documents and data sources to provide accurate and contextually relevant answers. He demonstrated how users can create a knowledge base by indexing various documents and then querying the system to retrieve precise answers, complete with citations from the source documents. This approach minimizes the risk of misinformation and ensures users receive reliable information. Additionally, the system’s ability to provide feedback and track user interactions helps organizations continuously improve the accuracy and relevance of their knowledge bases.

Overall, the presentation underscored Qlik’s commitment to making AI accessible and practical for business applications. By integrating both structured and unstructured data analysis into a unified platform, Qlik aims to empower users to make informed decisions quickly and effectively. The demo highlighted the ease of use, powerful capabilities, and the potential for significant business impact through the use of Qlik’s AI-driven tools.


Qlik Self-Service AI Overview

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Company: Qlik

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Personnel: Kyle Jourdan, Ryan Welsh

Maximize the Value of Your Enterprise Data with AI. Everyone in your organization can leverage predictive and generative AI. Qlik’s AI solutions are seamless, self-service, and contextual, enabling better decision-making across the board.

  • Qlik AutoML: Make predictive insights available to your analytics teams. Use automated machine learning with Qlik AutoML® to create models, explore data, run experiments, and publish results without needing to be a data scientist.
  • Qlik Answers: This plug-and-play, Generative AI-powered Knowledge Assistant provides personalized, relevant answers from curated unstructured content. It supports real-time business decisions with reliable and consistent answers, ensuring full transparency and trust. Unlike other solutions, Qlik Answers is complete out-of-the-box, simplifying deployment and use.
  • Leverage Advanced AI Integration: Take advantage of third-party data science and generative AI models within Qlik applications for broader insight, context, and capabilities.

The presentation by Qlik at Tech Field Day Experience at Qlik Connect 2024, led by Ryan Welsh and Kyle Jourdan, focused on Qlik’s self-service AI solutions aimed at maximizing the value of enterprise data through predictive and generative AI.

Ryan Welsh, who joined Qlik through the acquisition of Kyndi, discussed the limitations of large language models (LLMs) in enterprise settings, particularly their tendency to produce inaccurate results due to outdated or incomplete data. He emphasized the necessity of combining LLMs with contextual enterprise data to create reliable AI solutions. Welsh introduced Qlik Answers, a Retrieval Augmented Generation (RAG) product designed to provide contextually relevant and trustworthy answers from unstructured content, addressing the pitfalls of traditional search engines.

Qlik Answers is a plug-and-play solution that simplifies deployment by integrating directly into existing applications, such as customer support systems, to offer direct, reliable answers. This system leverages advanced AI to link back to source documents, ensuring transparency and trustworthiness in the provided answers. Welsh highlighted the importance of focusing on specific user groups and repositories of information to enhance the system’s effectiveness and avoid the complexities of broad, enterprise-wide search systems.

Kyle Jourdan then demonstrated the capabilities of Qlik AutoML, which allows analytics teams to create predictive models, explore data, and run experiments without needing deep data science expertise. Together, these tools enable organizations to leverage both structured and unstructured data for better decision-making.

The presentation underscored Qlik’s commitment to providing seamless, self-service AI solutions that integrate advanced AI models and enterprise data, ultimately enhancing the efficiency and effectiveness of business operations.


Qlik Talend Trust Score for AI with Demo

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Company: Qlik

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Personnel: Sharad Kumar, Tim Garrod

The Qlik Trust Score for AI is an innovative offering that helps establish and monitor key quality metrics for AI project data. It provides an easy-to-understand score reflecting the overall quality and trustworthiness of your AI data.

The Qlik Talend Trust Score for AI presentation at Tech Field Day Experience at Qlik Connect 2024, led by Sharad Kumar and Tim Garrod, introduced an innovative tool designed to ensure the quality and trustworthiness of AI project data. The Trust Score evaluates data across six principles: diversity, security, timeliness, consumability, accuracy, and discoverability, ensuring it is AI-ready.

Sharad Kumar emphasized the importance of a solid data foundation for AI systems, highlighting the need to prepare data meticulously. Tim Garrod demonstrated the practical aspects of data preparation, including data ingestion, transformation, cleansing, and feature engineering. The platform leverages AI capabilities to automate and accelerate data engineering tasks, such as detecting PII and recommending data quality rules.

The Trust Score for AI extends the traditional trust score concept, focusing on data diversity to prevent bias, ensuring data security, maintaining up-to-date data, making data easily consumable, ensuring data accuracy, and enabling data discoverability with appropriate business semantics.

The presentation also showcased a demo of the Trust Score for AI within Talend Studio, illustrating how it integrates AI workloads and supports various data integration scenarios. The framework captures metrics and KPIs, adaptable to different customer environments and regulatory requirements, and presents them through a customizable Qlik Sense dashboard.

Additionally, the concept of data products was introduced as a means to bridge the gap between data producers and consumers. This approach emphasizes federation and agility, with domain-specific data products managed by dedicated data product owners, ensuring accountability, trust, and lifecycle management. The presentation concluded with a discussion on the practical implementation of data products within Qlik Talend Cloud, aiming to enhance data reusability and reduce time to market.


Qlik Talend Overview and Demo of AI-Assisted Data Engineering

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Company: Qlik

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Personnel: Dan Potter, Tim Garrod

Qlik Talend Cloud merges advanced data integration with AI-augmented automation, ensuring data quality and accelerating AI adoption. With both no-code and pro-code options, it simplifies data handling, enabling your team to tackle AI projects with ease. Our ‘Modern Data Engineering’ capabilities support rapid setup and deployment of data pipelines, and our patented Qlik Talend Trust Score™ for AI measures data validity and quality, ensuring trustworthy AI-driven insights.

At Tech Field Day Experience at Qlik Connect 2024, Dan Potter and Tim Garrod from Qlik presented an overview and demo of Qlik Talend Cloud, emphasizing AI-assisted data engineering. Celebrating the one-year anniversary of Qlik’s acquisition of Talend, the presentation highlighted the integration of Qlik’s real-time ELT capabilities with Talend’s ETL, data quality, and application integration strengths.

The session focused on three main areas:

  1. Data Movement and Transformation: Tim Garrod demonstrated building robust data pipelines using Qlik Talend Cloud. He showcased the platform’s ability to handle diverse data sources and formats, supporting both real-time and batch processing. The demo included the use of Qlik’s change data capture (CDC) for real-time data replication and transformation, emphasizing the platform’s flexibility for both no-code and pro-code users.
  2. Data Trust: The presentation introduced the Qlik Talend Trust Score™, which measures data validity and quality. This feature ensures that data used for AI, analytics, and operations is reliable. Tim discussed the integration of data quality capabilities from Talend, including data stewardship for business user involvement in data remediation.
  3. Data Accessibility: The demo showcased how Qlik Talend Cloud makes data more accessible to business users and data scientists. This includes the generation of AI-ready data sets and documents, and the ability to deliver data to vector stores for AI applications. The platform also supports querying and interacting with data using natural language processing (NLP).

Throughout the presentation, the speakers emphasized the platform’s automation capabilities, reducing the need for manual coding and enhancing efficiency. They also highlighted future integrations and enhancements, including support for unstructured data and expanding capabilities across major cloud providers like AWS, Azure, and Google Cloud.

Recorded in Orlando, Florida at Qlik Connect 2024 on June 3, 2024. Watch the entire session at https://techfieldday.com/appearance/qlik-presents-at-tech-field-day-experience-at-qlik-connect-2024/ or visit https://Qlik.com for more information.


Customer Needs Driving Qlik AI Announcements

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Company: Qlik

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Personnel: Nick Magnuson

AI offers unprecedented opportunities rooted in the power of data. To achieve smarter, faster outcomes in product launches, supply chains, customer experiences, and workforce productivity, organizations must address five key needs for enterprise AI adoption:

  • Move/Transform: Integrate and transform diverse data sources.
  • Trust: Ensure enhanced trust and explainability for AI applications.
  • Access: Provide internal consumers with ready access to data and insights.
  • Analyze/Predict/Answer: Use analytics, machine learning, and GenAI to extract insights from unstructured data.
  • Act: Empower confident actions based on reliable AI-driven insights.

At the Tech Field Day Experience at Qlik Connect 2024, Nick Magnuson highlighted three major AI-related announcements driven by customer needs. Firstly, he emphasized the importance of having AI-ready data. Despite 96% of organizations feeling unprepared, Qlik’s new Talent Cloud aims to simplify data readiness for AI by creating a modern data engineering stack that supports both no-code and code-based data preparation. Secondly, he addressed the challenge of unstructured data, which constitutes 80% of organizational data, with 70% of organizations having not yet utilized it. Qlik Answers was introduced to allow natural language queries on unstructured data, making it accessible without needing complex setups. Lastly, Magnuson discussed enhancements to Qlik’s AutoML, which has seen significant adoption with 250,000 AI models created and 11,000 in production. The improvements focus on deeper analytics and more efficient model optimization, aiming to reduce the gap between experimental and production-ready models. These announcements underscore Qlik’s commitment to making AI more accessible and actionable for businesses.


Qlik’s Comprehensive AI and Analytics Approach

Event: Tech Field Day Experience at Qlik Connect 2024

Appearance: Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Company: Qlik

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Personnel: Mary Kern

Qlik supports over 40,000 global customers, helping them unlock the true value of their data. Our mission is to reveal hidden patterns, tackle complex challenges, and seize new opportunities using our AI/ML tools, enabling better decisions and providing a competitive edge.

Mary Kern, Vice President of Portfolio Marketing for Analytics and AI at Qlik, opened the Tech Field Day Experience at Qlik Connect 2024 by emphasizing Qlik’s commitment to helping organizations leverage AI to mitigate risks, embrace complexity, and scale their impact. Qlik, a leader in data integration, quality, analytics, and AI solutions, supports over 40,000 customers globally. The company focuses on five key areas to accelerate AI adoption: moving and transforming data from various sources, ensuring trusted data, providing comprehensive data access, empowering users with advanced analytics, and enabling actionable decisions.

Mary introduced the agenda, highlighting contributions from key team members, including Nick Magnussen on AI innovation, and leaders from the Data Integration and Quality Product Team on building a trusted data foundation. Experts Ryan Welsh and Kyle Jourdan would discuss new self-service AI solutions.

Qlik’s recent announcements at the event included advanced generative AI capabilities and tools for both structured and unstructured data. The company aims to help organizations automate insights, apply natural language processing, and create custom AI solutions to drive business transformation.


The Impacts of the AppDev and DevOps on the SDLC – AppDev Field Day Roundtable

Event: AppDev Field Day 1

Appearance: Software Development Roundtable at AppDev Field Day 1

Company: The Futurum Group

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Personnel: Paul Nashawaty

In this AppDev Field Day roundtable discussion moderated by Paul Nashawaty, the conversation delved deep into the impacts of AppDev and DevOps on the Software Development Life Cycle (SDLC). Nashawaty started the discussion by highlighting the chief concern among CIOs: modernization of applications from legacy systems to new, more efficient models. The discussion underscored the complexity and challenges such as skill gaps and security issues that organizations face in modernization. The delegates discussed the transition from heritage applications to adopting new technologies like microservices, containerization, and possibly serverless frameworks in the future. The conversation also tackled the strategic decision-making involved in determining which parts of an application to refactor, emphasizing that modernization should be driven by clear business needs rather than just the pursuit of new technology.

As the conversation progressed, the delegates explored various facets of application development, including the balance between maintaining legacy systems and adopting new technologies to meet business goals. The discussion also touched on the practical aspects of cloud migration, where it was noted that moving to the cloud is not merely about cost-saving but also about enhancing flexibility and scalability of applications. Security emerged as a critical topic, with a consensus that modernization often necessitates a focus on tightening security to address vulnerabilities inherent in older systems. The roundtable highlighted that successful modernization requires a holistic approach, considering factors like application portability, the need for skilled personnel, and the overarching business objectives driving the need for change.


Catchpoint Customer Case Studies

Event: AppDev Field Day 1

Appearance: Catchpoint Presents at AppDev Field Day 1

Company: Catchpoint

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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

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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

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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

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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

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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

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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

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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

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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.


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