<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Events on Netdata</title><link>https://www.netdata.cloud/events/</link><description>Recent content in Events on Netdata</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.netdata.cloud/events/index.xml" rel="self" type="application/rss+xml"/><item><title>Netdata at AWS Cloud Days 2023</title><link>https://www.netdata.cloud/events/aws-cloud-days-2023/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/aws-cloud-days-2023/</guid><description>&lt;p>Ralph Meijer, VP of Technology at Netdata, joined a panel at AWS Cloud Days Athens 2023 on October 10. The session, &amp;ldquo;Running Managed Containers in AI-Powered Startups,&amp;rdquo; ran from 16:45 to 17:15 and focused on the operational side of containerized workloads in fast-moving companies.&lt;/p>
&lt;p>The discussion covered what it actually takes to run containers in production when your team is small and your infrastructure is changing weekly. Observability came up repeatedly &amp;ndash; specifically the gap between what managed container services give you out of the box and what you actually need to debug a problem at 2 AM. Ralph brought Netdata&amp;rsquo;s perspective: auto-detection of containers, per-second metrics without manual configuration, and the ability to monitor ephemeral workloads that spin up and disappear before traditional tools finish their first collection cycle.&lt;/p></description></item><item><title>Netdata at Civo Navigate 2023</title><link>https://www.netdata.cloud/events/civo-navigate-2023/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/civo-navigate-2023/</guid><description>&lt;p>Netdata sent two speakers to Civo Navigate Europe 2023 in London on September 5&amp;ndash;6. Ralph Meijer, VP of Technology, opened with &amp;ldquo;Opinionated Observability&amp;rdquo; at noon on day one &amp;ndash; a talk about the design trade-offs behind monitoring defaults and why those choices matter more than most vendors admit. The argument: when your tool ships with good opinions about what to collect, how to visualize it, and when to alert, you remove an entire class of configuration toil.&lt;/p></description></item><item><title>Netdata at Conf42 Cloud Native 2024</title><link>https://www.netdata.cloud/events/conf42-cloud-native-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/conf42-cloud-native-2024/</guid><description>&lt;p>Costa Tsaousis spoke at Conf42 Cloud Native 2024 (virtual, March 2024) with &amp;ldquo;Practical AI with Machine Learning for Observability in Netdata.&amp;rdquo; The talk was a technical walkthrough of how Netdata applies unsupervised machine learning to metrics &amp;ndash; not as a feature checkbox, but as a way to surface problems that static thresholds miss.&lt;/p>
&lt;p>The key insight Costa presented: individual anomalies on individual metrics are often noise. A CPU spike on one node, a latency bump on one service &amp;ndash; these happen constantly and mean nothing on their own. But when anomalies converge across multiple metrics and services simultaneously, that convergence is a strong signal that something unusual is actually happening. As he put it: &amp;ldquo;The power of ML becomes evident when seemingly noisy anomalies converge across various services, serving as indicators of something exceedingly unusual.&amp;rdquo;&lt;/p></description></item><item><title>Netdata at Conf42 DevOps 2024</title><link>https://www.netdata.cloud/events/conf42-devops-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/conf42-devops-2024/</guid><description>&lt;p>Costa Tsaousis spoke at Conf42 DevOps 2024 on January 25 with a talk titled &amp;ldquo;Observability Standardization: the elephant is still in the room!&amp;rdquo; The event was virtual, so the audience was global.&lt;/p>
&lt;p>The premise of the talk was blunt: the industry talks endlessly about open standards and protocol compatibility for observability, but the real question is whether we actually need custom monitoring solutions for every infrastructure scenario. OpenTelemetry, Prometheus exposition format, StatsD, SNMP &amp;ndash; there is no shortage of standards. The problem is not the number of protocols. It is that the underlying data models, collection patterns, and retention strategies are so different across tools that &amp;ldquo;standardization&amp;rdquo; often just means another translation layer rather than true interoperability.&lt;/p></description></item><item><title>Netdata at Conf42 DevOps 2025</title><link>https://www.netdata.cloud/events/conf42-devops-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/conf42-devops-2025/</guid><description>&lt;p>Shyam Sreevalsan spoke at Conf42 DevOps 2025 on January 23 (virtual) about the future of observability. The talk covered three threads: AI-driven anomaly detection, real-time processing at the edge, and predictive analytics as a replacement for reactive alerting.&lt;/p>
&lt;p>The central argument was that monitoring is shifting from &amp;ldquo;tell me when something breaks&amp;rdquo; to &amp;ldquo;tell me before something breaks.&amp;rdquo; Proactive monitoring requires two things that most traditional tools lack: per-second data collection (because you cannot predict what you cannot see) and ML models that run continuously rather than on a query schedule. Shyam walked through how Netdata handles both &amp;ndash; distributed agents collecting every second, unsupervised ML training on each metric individually, and anomaly correlation that surfaces coordinated deviations before they become incidents.&lt;/p></description></item><item><title>Netdata at Data Centre World London 2025</title><link>https://www.netdata.cloud/events/data-centre-world-london-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/data-centre-world-london-2025/</guid><description>&lt;p>Netdata exhibited at Data Centre World London 2025, March 12&amp;ndash;13 at ExCeL London, at Booth DC476 in the co-located Tech Show London event. We ran live infrastructure monitoring demos throughout both days and held a LEGO draw that produced two winners.&lt;/p>
&lt;p>The audience here was different from a developer conference. Data centre operators and infrastructure managers care about things like power monitoring, cooling efficiency, network throughput, and server fleet health &amp;ndash; all at scale, all in real time. The conversations at the booth centered on three recurring pain points: the cost of existing observability tools (especially per-GB ingestion pricing), the complexity of maintaining multiple monitoring systems for different parts of the stack, and the time wasted on manual troubleshooting when dashboards show 60-second averages that hide the actual problem.&lt;/p></description></item><item><title>Netdata at DevOops Athens Meetup 2024</title><link>https://www.netdata.cloud/events/devops-athens-meetup-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/devops-athens-meetup-2024/</guid><description>&lt;p>Costa Tsaousis spoke at the DevOops Athens Meetup in December 2024, telling the origin story of Netdata. The project was born out of a production incident &amp;ndash; a real problem that existing monitoring tools failed to diagnose quickly enough. That experience shaped everything that followed: the insistence on per-second granularity, the zero-configuration philosophy, the decision to run monitoring at the edge rather than depending on a remote backend.&lt;/p>
&lt;p>For a local meetup in Athens, the tone was more personal than a typical conference talk. Costa could talk about the early days of the project, the decisions that felt risky at the time, and how those choices played out over the years. The audience was Athens-based DevOps practitioners &amp;ndash; people who work in the Greek tech ecosystem and, in many cases, had been following the project since its early days.&lt;/p></description></item><item><title>Netdata at DevOps Meetup Finland 2024</title><link>https://www.netdata.cloud/events/devops-meetup-finland-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/devops-meetup-finland-2024/</guid><description>&lt;p>Shyam Sreevalsan presented &amp;ldquo;Opinionated Observability&amp;rdquo; at the DevOps Finland Meetup in May 2024. The talk picked up a thread from Ralph Meijer&amp;rsquo;s earlier presentation at Civo Navigate and adapted it for a meetup audience &amp;ndash; shorter, more conversational, and grounded in specific examples.&lt;/p>
&lt;p>The core question: what happens when you move from collecting metrics to actually visualizing and alerting on them? That transition is where most monitoring setups break down. You install an agent, metrics flow into a database, and then you spend weeks building dashboards, tuning thresholds, and configuring notification rules. Shyam walked through the trade-offs involved in making those decisions for the user &amp;ndash; good defaults for visualization, sensible alert thresholds out of the box, and the risks of being too opinionated versus not opinionated enough.&lt;/p></description></item><item><title>Netdata at DevOps Summer Retreat Latvia 2024</title><link>https://www.netdata.cloud/events/devops-summer-retreat-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/devops-summer-retreat-2024/</guid><description>&lt;p>Shyam Sreevalsan spoke at the DevOps &amp;amp; Agile Summer Retreat in Latvia in July 2024. His talk, &amp;ldquo;The Future of DevOps: The Next 10 Years,&amp;rdquo; was an attempt to lay out a technical roadmap for where the discipline is heading &amp;ndash; not vague predictions, but specific shifts already underway.&lt;/p>
&lt;p>Three themes anchored the talk. First, AI-driven automation: not replacing engineers, but handling the repetitive diagnostic and remediation tasks that consume on-call time. Second, DevSecOps becoming the default rather than the exception &amp;ndash; security as a continuous, embedded practice rather than a gate at the end of a pipeline. Third, decentralized autonomous teams with decentralized tools and workflows, where each team owns its full stack including observability, rather than relying on a central platform team to configure monitoring for them.&lt;/p></description></item><item><title>Netdata at DevOpsDays Geneva 2024</title><link>https://www.netdata.cloud/events/devops-days-geneva-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/devops-days-geneva-2024/</guid><description>&lt;p>Costa Tsaousis spoke at DevOpsDays Geneva 2024 with a talk that had one of the more specific titles we have brought to a conference: &amp;ldquo;A powerful logs management solution we all have and use, but we underestimate: systemd-journal.&amp;rdquo; We also had a booth.&lt;/p>
&lt;p>The argument was simple. Every Linux system running systemd already has a structured, indexed, binary log store built in. Most teams ignore it and ship logs to an external system immediately, paying for ingestion, storage, and query infrastructure that duplicates something the OS already provides. Costa walked through how systemd-journal works, what it stores, how Netdata integrates with it for log exploration and correlation with metrics, and where it falls short (multi-node aggregation being the obvious gap).&lt;/p></description></item><item><title>Netdata at DEVworld Amsterdam 2025</title><link>https://www.netdata.cloud/events/devworld-amsterdam-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/devworld-amsterdam-2025/</guid><description>&lt;p>Netdata exhibited at DEVworld Conference in Amsterdam in February 2025, at Booth 18E. No talk at this one &amp;ndash; just the team at the booth, running live demos and talking to developers.&lt;/p>
&lt;p>DEVworld attracts a broad developer audience, not just infrastructure or DevOps specialists. That meant explaining Netdata to people who might not have thought much about monitoring beyond &amp;ldquo;is my app up or down.&amp;rdquo; The live demos worked well for this: showing real-time, per-second dashboards to someone who has only ever seen delayed, aggregated metrics makes the difference immediately obvious.&lt;/p></description></item><item><title>Netdata at FOCS 2026 — The Future of Cybersecurity Summit</title><link>https://www.netdata.cloud/events/focs-malaysia-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/focs-malaysia-2026/</guid><description>&lt;p>Netdata is at the 7th Future of Cybersecurity Summit (FOCS) 2026, organized by the PIKOM Cybersecurity Chapter in Petaling Jaya, Malaysia, alongside our regional partner &lt;a href="https://www.cloudengined.com/">Cloud Engine Digital (CED)&lt;/a>. CED is an exhibition partner at FOCS and brings expertise in cloud infrastructure, security, and data engineering across Southeast Asia. This year&amp;rsquo;s theme is &amp;ldquo;Cybersecurity 2030: Building Resilience in an AI-Driven, Borderless World,&amp;rdquo; and the agenda covers AI-driven security operations, predictive risk management, and the regulatory landscape across the region.&lt;/p></description></item><item><title>Netdata at FOSDEM 2024</title><link>https://www.netdata.cloud/events/fosdem-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/fosdem-2024/</guid><description>&lt;p>Costa Tsaousis presented in the Observability Devroom at FOSDEM 2024 in Brussels, starting at 16:30. The talk covered the journey of Netdata &amp;ndash; how it started, the architectural decisions that shaped it, and the challenges of building a distributed monitoring system in the open.&lt;/p>
&lt;p>FOSDEM is not a vendor event. The audience is developers and maintainers who care about how things work, not how they are marketed. Costa&amp;rsquo;s talk leaned into that: the early design goal of per-second granularity, the choice to run everything at the edge rather than relying on a centralized backend, and the ongoing tension between keeping the project simple for individual users while scaling it for organizations with thousands of nodes.&lt;/p></description></item><item><title>Netdata at FOSSCOMM 2024</title><link>https://www.netdata.cloud/events/fosscomm-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/fosscomm-2024/</guid><description>&lt;p>Costa Tsaousis spoke at FOSSCOMM 2024, held November 9&amp;ndash;10 at the University of Macedonia in Thessaloniki. FOSSCOMM is Greece&amp;rsquo;s largest open-source conference, and for Netdata &amp;ndash; a project with Greek roots &amp;ndash; it was a homecoming of sorts.&lt;/p>
&lt;p>The talk, &amp;ldquo;Netdata: Open Source, Distributed Observability Pipeline &amp;ndash; Journey and Challenges,&amp;rdquo; covered the full arc: how the project started, the architectural decisions that defined it, the community that grew around it, and the ongoing challenges of maintaining a large open-source codebase that millions of nodes depend on. Costa did not shy away from the hard parts &amp;ndash; the difficulty of balancing open-source community expectations with commercial product development, and the engineering cost of supporting an agent that runs on everything from a Raspberry Pi to a 256-core production server.&lt;/p></description></item><item><title>Netdata at Gartner IOCS Las Vegas 2025</title><link>https://www.netdata.cloud/events/gartner-iocs-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/gartner-iocs-2025/</guid><description>&lt;p>Netdata exhibited at the Gartner IT Infrastructure, Operations &amp;amp; Cloud Strategies Conference (IOCS) 2025, December 9&amp;ndash;11 at The Venetian in Las Vegas. We were at Booth #636 in the Solution Village: Operations section, running live demos every 30 minutes and meeting with IT leaders from enterprises and mid-market organizations.&lt;/p>
&lt;p>The highlight was Costa Tsaousis&amp;rsquo;s talk on December 11 at 12:30 PM PST in Theater 3: &amp;ldquo;Why 80% of Organizations Will Overspend for Observability in 2026.&amp;rdquo; The thesis was direct. Legacy observability tools have a broken economic model &amp;ndash; they charge by data volume, which means the more you monitor, the more you pay. That creates a perverse incentive to sample, average, and reduce data, which in turn creates blind spots. Organizations end up paying more for less visibility. Costa walked through how sampling at 15&amp;ndash;60 second intervals masks the very spikes and anomalies that cause incidents, and how that hidden cost &amp;ndash; longer MTTR, more outages, more manual investigation &amp;ndash; often exceeds the monitoring bill itself.&lt;/p></description></item><item><title>Netdata at GITEX AI ASIA 2026</title><link>https://www.netdata.cloud/events/gitex-asia-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/gitex-asia-2026/</guid><description>&lt;p>Netdata is at GITEX AI ASIA 2026, April 9–10 at Marina Bay Sands in Singapore, together with our regional partner &lt;a href="https://www.cloudengined.com/">Cloud Engine Digital (CED)&lt;/a>. GITEX AI ASIA is the region&amp;rsquo;s largest tech and AI event, drawing enterprise leaders, startups, and investors from over 110 countries.&lt;/p>
&lt;p>We&amp;rsquo;re showing live demos of Netdata&amp;rsquo;s real-time monitoring—per-second granularity across infrastructure, from Kubernetes clusters to bare metal servers. For teams running AI and ML workloads, this means capturing GPU utilization spikes, training pipeline anomalies, and inference latency fluctuations that 15–60 second sampling intervals simply cannot see.&lt;/p></description></item><item><title>Netdata at Howard Conference and Expo 2026</title><link>https://www.netdata.cloud/events/howard-expo-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/howard-expo-2026/</guid><description>&lt;p>Netdata exhibited at the Howard Conference and Expo &amp;ldquo;Game On&amp;rdquo; event, February 24&amp;ndash;26 at the Grand Hotel Marriott Resort in Fairhope, Alabama. Constantine Nikitiadis and Stuart McMurran were on the ground, running demos and talking with IT leaders attending the conference.&lt;/p>
&lt;p>The demos focused on two things: per-second granularity versus the 15&amp;ndash;60 second sampling that most monitoring tools default to, and AI-assisted troubleshooting that turns hours of dashboard investigation into minutes of directed analysis. For an audience of IT practitioners managing diverse infrastructure &amp;ndash; bare metal, VMs, cloud, some Kubernetes &amp;ndash; the &amp;ldquo;works everywhere&amp;rdquo; message landed well. One agent, one install, coverage across the full stack.&lt;/p></description></item><item><title>Netdata at India DevOps Show 2025</title><link>https://www.netdata.cloud/events/india-devops-show-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/india-devops-show-2025/</guid><description>&lt;p>Netdata was a Co-Presenting Partner at the 7th Edition India DevOps Show on May 23, 2025 at the Holiday Inn in Mumbai. Satyadeep Ashwathnarayana, Constantine Nikitiadis, and Shyam Sreevalsan represented the team.&lt;/p>
&lt;p>The talk &amp;ndash; &amp;ldquo;Stop Building Dashboards. Start Solving Problems.&amp;rdquo; &amp;ndash; challenged the default approach to observability that most DevOps teams fall into: install a monitoring tool, spend weeks building dashboards, and then stare at those dashboards during incidents trying to find the problem. The argument is that dashboards are a means, not an end. If your monitoring tool can surface the problem directly &amp;ndash; through anomaly detection, automated correlation, and AI-driven investigation &amp;ndash; then the dashboard becomes a verification step, not a diagnostic one.&lt;/p></description></item><item><title>Netdata at India DevOps Show 2026</title><link>https://www.netdata.cloud/events/india-devops-show-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/india-devops-show-2026/</guid><description>&lt;p>Netdata participated as a Silver Partner at the 10th Edition India DevOps Show on February 13, 2026 at the Aloft ORR Hotel in Bengaluru. Shyam Sreevalsan and Constantine Nikitiadis represented the team, meeting with DevOps practitioners and tech leaders from across India.&lt;/p>
&lt;p>The focus was on showing how per-second metrics change the way teams respond to deployments and incidents. When you can see the impact of a deployment within seconds rather than waiting for the next polling interval, rollback decisions get faster and more confident. We demonstrated Netdata&amp;rsquo;s AI-assisted troubleshooting &amp;ndash; how it analyzes anomalies across the stack and produces actionable investigation reports in minutes rather than the hours of manual dashboard-digging that most teams are used to.&lt;/p></description></item><item><title>Netdata at ObservabilityCon 2023</title><link>https://www.netdata.cloud/events/observabilitycon-2023/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/observabilitycon-2023/</guid><description>&lt;p>Netdata had a booth at ObservabilityCon 2023 in London, hosted by Grafana Labs. No talk this time &amp;ndash; just the team at a booth, ready for deep-dive conversations about how different observability tools fit together.&lt;/p>
&lt;p>The event drew people who are already invested in open-source observability, many of them running Grafana alongside other tools. That made for pointed, technical conversations. A common thread: people were interested in how Netdata handles high-resolution metrics collection at the edge without requiring a heavy backend. The idea of collecting per-second data, running ML-based anomaly detection locally, and then feeding results into Grafana dashboards resonated with teams already comfortable in that ecosystem.&lt;/p></description></item><item><title>Netdata at Open Source Monitoring Conference 2024</title><link>https://www.netdata.cloud/events/open-source-monitoring-conference-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/open-source-monitoring-conference-2024/</guid><description>&lt;p>Costa Tsaousis opened the final day of the Open Source Monitoring Conference (OSMC) 2024 in Nuremberg on November 21, speaking from 9:30 to 10:00 at the Jacobi venue. His talk, &amp;ldquo;Netdata: Open Source, Distributed Observability Pipeline &amp;ndash; Journey and Challenge,&amp;rdquo; covered the project&amp;rsquo;s evolution and the architectural decisions that set it apart from other open-source monitoring tools.&lt;/p>
&lt;p>OSMC runs November 19&amp;ndash;21 and is one of the more established events in the European IT monitoring space. The attendees are people who run Icinga, Checkmk, Prometheus, Zabbix, and similar tools in production. They know monitoring. What they wanted to hear was how Netdata&amp;rsquo;s distributed approach &amp;ndash; agents collecting and processing data at the edge, with no mandatory centralized storage &amp;ndash; compares to the centralized architectures they are used to.&lt;/p></description></item><item><title>Netdata at Open Source Observability Day 2024</title><link>https://www.netdata.cloud/events/open-source-observability-day-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/open-source-observability-day-2024/</guid><description>&lt;p>Costa Tsaousis spoke at Open Source Observability Day 2024 on October 24. The talk focused on the evolution of Netdata and the broader challenges facing open-source observability tooling.&lt;/p>
&lt;p>The tension Costa addressed is one that every open-source monitoring project faces: how do you keep things simple for a developer who just wants to monitor a few servers, while also scaling to organizations with thousands of nodes and complex compliance requirements? Netdata&amp;rsquo;s answer has been a distributed architecture &amp;ndash; agents at the edge doing the heavy lifting, with optional cloud coordination &amp;ndash; but that comes with its own set of challenges around consistency, aggregation, and user experience.&lt;/p></description></item><item><title>Netdata at OpenConf 2025</title><link>https://www.netdata.cloud/events/openconf-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/openconf-2025/</guid><description>&lt;p>Costa Tsaousis spoke at OpenConf 2025, held November 21&amp;ndash;22 at Dais Events in Athens. The talk, &amp;ldquo;Practical AI and Machine Learning for Observability in Netdata,&amp;rdquo; presented a specific framing of anomaly detection that Costa has been developing across multiple conferences: ML as an advisor, not just an alert trigger.&lt;/p>
&lt;p>The distinction matters. Most ML-in-monitoring implementations boil down to &amp;ldquo;replace static thresholds with dynamic ones.&amp;rdquo; Netdata&amp;rsquo;s approach is different. Multiple independent ML models run on each node, each trained on a single metric&amp;rsquo;s behavior. When one model flags an anomaly, that is information but not necessarily action. When dozens of models across multiple services flag anomalies simultaneously, that convergence is a strong signal. The system acts as an advisor &amp;ndash; surfacing unusual patterns, predicting potential failures, and detecting early signs of security breaches &amp;ndash; rather than firing off yet another alert.&lt;/p></description></item><item><title>Netdata at QBITS 2025</title><link>https://www.netdata.cloud/events/qbits-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/qbits-2025/</guid><description>&lt;p>Netdata sponsored QBITS 2025 in Montreal, April 8&amp;ndash;10. Shyam Sreevalsan (VP - Product &amp;amp; Strategy) and Stuart McMurran (Enterprise Sales) represented the team at this Quadbridge event, which brings together IT leaders from across Canada and the US.&lt;/p>
&lt;p>The audience was heavily tilted toward infrastructure decision-makers &amp;ndash; CTOs, VPs of IT, directors of operations. These are people who sign off on monitoring tool purchases and live with the consequences. Three pain points came up in nearly every conversation at the booth: cost (observability bills that scale unpredictably with data volume), complexity (too many tools, too many dashboards, too much configuration), and manual troubleshooting (spending hours correlating data across systems during an incident).&lt;/p></description></item><item><title>Netdata at SREcon 2023</title><link>https://www.netdata.cloud/events/srecon-2023/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/srecon-2023/</guid><description>&lt;p>Costa Tsaousis, Netdata&amp;rsquo;s founder and CEO, joined a panel at SREcon23 Americas on October 11, 2023 in San Francisco. The session, &amp;ldquo;Open-source Development as a Full-time Pursuit,&amp;rdquo; ran from 16:50 to 17:30 and brought together maintainers who build open-source infrastructure tooling as their day job &amp;ndash; not as a side project.&lt;/p>
&lt;p>The panel dug into the realities of sustaining an open-source project when it is also the foundation of a company. Topics included funding models, the tension between community contributions and product roadmap, and the practical challenge of keeping a project healthy when you have both volunteer contributors and a paid engineering team pulling in potentially different directions.&lt;/p></description></item><item><title>Netdata at SREday London 2024</title><link>https://www.netdata.cloud/events/sreday-london-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/sreday-london-2024/</guid><description>&lt;p>Costa Tsaousis spoke at SREday London 2024 on September 19&amp;ndash;20 with &amp;ldquo;Practical AI with Machine Learning for Observability in Netdata.&amp;rdquo; The event ran a promo code &amp;ndash; COSTA10 &amp;ndash; for 10% off tickets, which brought some extra traffic our way.&lt;/p>
&lt;p>The talk was tailored for an SRE audience. These are people who live in dashboards, write alert rules, and get paged at night. They are skeptical of ML claims because they have seen too many tools that promise &amp;ldquo;intelligent alerting&amp;rdquo; and deliver more noise. Costa focused on the mechanics: how Netdata trains unsupervised models per metric at the edge, why anomaly convergence across metrics matters more than any single anomaly score, and how this translates to fewer false positives in practice.&lt;/p></description></item><item><title>Netdata at stackconf 2024</title><link>https://www.netdata.cloud/events/stackconf-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/stackconf-2024/</guid><description>&lt;p>Costa Tsaousis spoke at stackconf 2024 in Berlin on June 19, in a 14:30&amp;ndash;15:00 slot. The talk traced the history of Netdata from its inception: the original goals, the architectural bets, and what held up over time.&lt;/p>
&lt;p>The starting point was straightforward. When Costa began building Netdata, the goal was high-resolution metrics &amp;ndash; per-second granularity, not the 10- or 60-second averages that were standard at the time. That required a fundamentally different collection architecture: lightweight agents that process data locally, real-time visualization that does not depend on a query round-trip to a central database, and auto-detection of services so that adding a new node does not require writing configuration files.&lt;/p></description></item><item><title>Netdata at Tech Show London 2026</title><link>https://www.netdata.cloud/events/techshow-london-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/techshow-london-2026/</guid><description>&lt;p>Netdata is exhibiting at Tech Show London 2026, March 4&amp;ndash;5 at ExCeL London. We are at Booth F223 in the Cloud &amp;amp; AI Infrastructure zone. Constantine Nikitiadis and Shyam Sreevalsan are running the booth, with 1:1 meetings available for anyone who wants dedicated time.&lt;/p>
&lt;p>The booth features live monitoring demos comparing per-second granularity against the 10&amp;ndash;60 second averages that most tools deliver. For teams running AI and cloud infrastructure, that difference is not academic &amp;ndash; GPU utilization spikes, model training anomalies, and container scheduling events happen on sub-second timescales that traditional monitoring simply misses. We are also showing Netdata&amp;rsquo;s AI-powered infrastructure observability: how unsupervised ML at the edge catches anomalies across your stack without requiring manual threshold configuration.&lt;/p></description></item><item><title>Netdata at WeAreDevelopers World Congress 2024</title><link>https://www.netdata.cloud/events/wearedevelopers-2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/wearedevelopers-2024/</guid><description>&lt;p>Netdata was at WeAreDevelopers World Congress 2024 in Berlin, July 17&amp;ndash;19. We had a booth in Hall A at stand A_S10, and Costa Tsaousis gave a talk on &amp;ldquo;Practical AI with Machine Learning in Observability.&amp;rdquo;&lt;/p>
&lt;p>The booth was packed for most of the event. We ran live demos of Netdata&amp;rsquo;s real-time dashboards, had a spin-the-wheel game, and did a prize draw. The wheel brought people in; the demos kept them. Developers who stopped by expecting a quick spin ended up watching per-second metrics streaming across a live infrastructure and asking how the anomaly detection works under the hood.&lt;/p></description></item><item><title>Netdata at WeAreDevelopers World Congress 2025</title><link>https://www.netdata.cloud/events/wearedevelopers-2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/events/wearedevelopers-2025/</guid><description>&lt;p>Netdata returned to WeAreDevelopers World Congress in Berlin as a partner for the 2025 edition, July 9&amp;ndash;11. Costa Tsaousis gave &amp;ldquo;Practical AI with Machine Learning in Observability&amp;rdquo; &amp;ndash; a talk he has been refining throughout 2024 and into 2025, each time sharpening the examples and responding to questions from previous audiences.&lt;/p>
&lt;p>The booth was busy all three days. WeAreDevelopers draws tens of thousands of developers, and the crowd skews younger and more curious than a typical infrastructure conference. Many visitors had not thought deeply about monitoring before &amp;ndash; they knew they needed it, but had not compared tools or architectures. Live demos of Netdata running on real infrastructure, showing per-second metrics with zero configuration, gave them a baseline to compare against whatever they try next.&lt;/p></description></item></channel></rss>