NightDragon’s Dave DeWalt Joins LogDNA Board to Advance DevSecOps Vision

4 MIN READ
MIN READ

LogDNA is now Mezmo but the product you know and love is here to stay.

Over the past few years, I’ve witnessed the incredible impact that our platform has on DevOps teams. 

Both customers and employees have high expectations for superior functionality and unparalleled user experiences. Software teams are churning out more code than ever before in support of the growing demand for digital services and applications, and this rapid development brings increased risk for security vulnerabilities and software flaws. Having secure code is imperative, and there is an industry-wide call to shift security left into DevOps practices

This movement to DevSecOps is driving massive demand for solutions that enable cross-team insight and collaboration. Every team — from security to development to operations — needs tools and a common language to communicate and work together to ensure the health and security of their applications. 

It’s this intersection where LogDNA delivers substantial value. By providing critical, real-time data right into developer workflows, teams are empowered to more quickly resolve problems and mitigate risk earlier in the software development life cycle. 

Answering the Growing Demand for DevSecOps Tools


Growing demand for DevSecOps methodologies and platforms and the role LogDNA plays in solving key challenges represent huge opportunities for market expansion and scale. In support of this effort, we are thrilled to welcome security industry veteran Dave DeWalt to our board of directors, where he will serve as vice chair. 

Dave brings more than 25 years of industry experience, most notably serving as the CEO of FireEye, McAfee, and Documentum, where he collectively drove more than $20 billion of shareholder value. As founder and managing director of NightDragon, he now invests and advises the world’s most innovative cybersecurity, safety, security, and privacy companies and also sits on the board of directors for leading companies like Delta Airlines, Five9 and Optiv.

In addition to expertise, Dave brings the power of the NightDragon network and advisory capabilities. The venture capital firm has led many companies to greatness, including Forescout, ObserveIT, Five9, Jask and Jive. NightDragon's rich network of companies and industry relationships will provide a massive advantage for LogDNA as it scales to execute on its vision. 


The Next Horizon

At LogDNA, we understand the power of machine data as a critical resource to drive business impact and create superior customer experiences. We are building solutions that enable the frictionless consumption and actionability of this data by anyone—from the application developer to the security engineer to the business line executive. Simply put: We empower people who create the solutions that shape the world.

Today, the LogDNA platform delivers critical, real-time insights seamlessly into developer workflows, driving dramatic gains in productivity that ensure developers spend less time troubleshooting their apps and more time building new products and features that move their businesses forward. And, as new types of structured and unstructured data sources explode—and new data consumers expand—we see the power of handling all types of data from every type of application to meet the needs of developers and businesses. 

For example, our customer Sysdig has been able to reduce the time it takes for them to access and use log data by 80%. And this is just one of many use cases where we give developers time back in their workdays for innovation, not administration. 

The challenge we are solving isn’t unique to developers—it persists across the enterprise. In the race to innovate, develop rapidly and support new work models, businesses face a massive data pipeline problem. Not all data is equal. Companies need control over how to get the right data to the right person, at the right time, and this is precisely where LogDNA unlocks the true value of data. 

Legacy solutions weren’t built for this moment. Bloated platforms with cloud functionality bolted on lack the ability to scale, perform, and integrate data from the plethora of sources in a modern enterprise. Teams shouldn’t have to make tradeoffs when it comes to having access to the data they need to fully understand what is happening in their environments.

LogDNA is among a unique class of companies. With the ability to hyperscale and connect to a host of cloud and developer tools, we are winning because we meet major pain points while empowering companies to create their own best products—adding unprecedented value to businesses. With support from Dave DeWalt and NightDragon, we will continue to expand our use cases and accelerate our market traction.


Table of Contents

    Share Article

    RSS Feed

    Next blog post
    You're viewing our latest blog post.
    Previous blog post
    You're viewing our oldest blog post.
    Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)
    What is Active Telemetry
    Launching an agentic SRE for root cause analysis
    Paving the way for a new era: Mezmo's Active Telemetry
    The Answer to SRE Agent Failures: Context Engineering
    Empowering an MCP server with a telemetry pipeline
    The Debugging Bottleneck: A Manual Log-Sifting Expedition
    The Smartest Member of Your Developer Ecosystem: Introducing the Mezmo MCP Server
    Your New AI Assistant for a Smarter Workflow
    The Observability Problem Isn't Data Volume Anymore—It's Context
    Beyond the Pipeline: Data Isn't Oil, It's Power.
    The Platform Engineer's Playbook: Mastering OpenTelemetry & Compliance with Mezmo and Dynatrace
    From Alert to Answer in Seconds: Accelerating Incident Response in Dynatrace
    Taming Your Dynatrace Bill: How to Cut Observability Costs, Not Visibility
    Architecting for Value: A Playbook for Sustainable Observability
    How to Cut Observability Costs with Synthetic Monitoring and Responsive Pipelines
    Unlock Deeper Insights: Introducing GitLab Event Integration with Mezmo
    Introducing the New Mezmo Product Homepage
    The Inconvenient Truth About AI Ethics in Observability
    Observability's Moneyball Moment: How AI Is Changing the Game (Not Ending It)
    Do you Grok It?
    Top Five Reasons Telemetry Pipelines Should Be on Every Engineer’s Radar
    Is It a Cup or a Pot? Helping You Pinpoint the Problem—and Sleep Through the Night
    Smarter Telemetry Pipelines: The Key to Cutting Datadog Costs and Observability Chaos
    Why Datadog Falls Short for Log Management and What to Do Instead
    Telemetry for Modern Apps: Reducing MTTR with Smarter Signals
    Transforming Observability: Simpler, Smarter, and More Affordable Data Control
    Datadog: The Good, The Bad, The Costly
    Mezmo Recognized with 25 G2 Awards for Spring 2025
    Reducing Telemetry Toil with Rapid Pipelining
    Cut Costs, Not Insights:   A Practical Guide to Telemetry Data Optimization
    Webinar Recap: Telemetry Pipeline 101
    Petabyte Scale, Gigabyte Costs: Mezmo’s Evolution from ElasticSearch to Quickwit
    2024 Recap - Highlights of Mezmo’s product enhancements
    My Favorite Observability and DevOps Articles of 2024
    AWS re:Invent ‘24: Generative AI Observability, Platform Engineering, and 99.9995% Availability
    From Gartner IOCS 2024 Conference: AI, Observability Data, and Telemetry Pipelines
    Our team’s learnings from Kubecon: Use Exemplars, Configuring OTel, and OTTL cookbook
    How Mezmo Uses a Telemetry Pipeline to Handle Metrics, Part II
    Webinar Recap: 2024 DORA Report: Accelerate State of DevOps
    Kubecon ‘24 recap: Patent Trolls, OTel Lessons at Scale, and Principle Platform Abstractions
    Announcing Mezmo Flow: Build a Telemetry Pipeline in 15 minutes
    Key Takeaways from the 2024 DORA Report
    Webinar Recap | Telemetry Data Management: Tales from the Trenches
    What are SLOs/SLIs/SLAs?
    Webinar Recap | Next Gen Log Management: Maximize Log Value with Telemetry Pipelines
    Creating In-Stream Alerts for Telemetry Data
    Creating Re-Usable Components for Telemetry Pipelines
    Optimizing Data for Service Management Objective Monitoring
    More Value From Your Logs: Next Generation Log Management from Mezmo
    A Day in the Life of a Mezmo SRE
    Webinar Recap: Applying a Data Engineering Approach to Telemetry Data
    Dogfooding at Mezmo: How we used telemetry pipeline to reduce data volume
    Unlocking Business Insights with Telemetry Pipelines
    Why Your Telemetry (Observability) Pipelines Need to be Responsive
    How Data Profiling Can Reduce Burnout
    Data Optimization Technique: Route Data to Specialized Processing Chains
    Data Privacy Takeaways from Gartner Security & Risk Summit
    Mastering Telemetry Pipelines: Driving Compliance and Data Optimization
    A Recap of Gartner Security and Risk Summit: GenAI, Augmented Cybersecurity, Burnout
    Why Telemetry Pipelines Should Be A Part Of Your Compliance Strategy
    Pipeline Module: Event to Metric
    Telemetry Data Compliance Module
    OpenTelemetry: The Key To Unified Telemetry Data
    Data optimization technique: convert events to metrics
    What’s New With Mezmo: In-stream Alerting
    How Mezmo Used Telemetry Pipeline to Handle Metrics
    Webinar Recap: Mastering Telemetry Pipelines - A DevOps Lifecycle Approach to Data Management
    Open-source Telemetry Pipelines: An Overview
    SRECon Recap: Product Reliability, Burn Out, and more
    Webinar Recap: How to Manage Telemetry Data with Confidence
    Webinar Recap: Myths and Realities in Telemetry Data Handling
    Using Vector to Build a Telemetry Pipeline Solution
    Managing Telemetry Data Overflow in Kubernetes with Resource Quotas and Limits
    How To Optimize Telemetry Pipelines For Better Observability and Security
    Gartner IOCS Conference Recap: Monitoring and Observing Environments with Telemetry Pipelines
    AWS re:Invent 2023 highlights: Observability at Stripe, Capital One, and McDonald’s
    Webinar Recap: Best Practices for Observability Pipelines
    Introducing Responsive Pipelines from Mezmo
    My First KubeCon - Tales of the K8’s community, DE&I, sustainability, and OTel
    Modernize Telemetry Pipeline Management with Mezmo Pipeline as Code
    How To Profile and Optimize Telemetry Data: A Deep Dive
    Kubernetes Telemetry Data Optimization in Five Steps with Mezmo
    Introducing Mezmo Edge: A Secure Approach To Telemetry Data
    Understand Kubernetes Telemetry Data Immediately With Mezmo’s Welcome Pipeline
    Unearthing Gold: Deriving Metrics from Logs with Mezmo Telemetry Pipeline
    Webinar Recap: The Single Pane of Glass Myth
    Empower Observability Engineers: Enhance Engineering With Mezmo
    Webinar Recap: How to Get More Out of Your Log Data
    Unraveling the Log Data Explosion: New Market Research Shows Trends and Challenges
    Webinar Recap: Unlocking the Full Value of Telemetry Data
    Data-Driven Decision Making: Leveraging Metrics and Logs-to-Metrics Processors
    How To Configure The Mezmo Telemetry Pipeline
    Supercharge Elasticsearch Observability With Telemetry Pipelines
    Enhancing Grafana Observability With Telemetry Pipelines
    Optimizing Your Splunk Experience with Telemetry Pipelines
    Webinar Recap: Unlocking Business Performance with Telemetry Data
    Enhancing Datadog Observability with Telemetry Pipelines
    Transforming Your Data With Telemetry Pipelines
    6 Steps to Implementing a Telemetry Pipeline