RIPEstat & RIPE Atlas

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RIPE Atlas is an active measurements network with thousands of probes that run tests like ping, traceroute, and DNS to monitor the internet. RIPEstat is a toolbox that provides routing, registration, DNS, and geolocation data from various sources including RIPE Atlas. It has APIs and widgets to access the data. DNSMON is a new tool that monitors the quality of high-level DNS servers using measurements from RIPE Atlas anchors.

Technology

RIPE Atlas & RIPEstat
MENOG 14

!
Christian Teuschel
plus a taste of
DNSMON

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas - Active Measurements Network
https://atlas.ripe.net
!
• Next-generation Internet measurements network
_ Thousands of measurement vantage points
_ Probes run different measurements: ping, traceroute, SSL, DNS
!
• Instead of building small, individual, private infrastructures, build a
HUGE common infrastructure that serves both private and
community goals
2

RIPE Atas & RIPEstat, MENOG 14
• 5000+ active probes
• 7000+ active users worldwide
3
RIPE Atlas Update
Source: https://atlas.ripe.net/results/maps/network-coverage/

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas Probes per Country
4
Source: https://atlas.ripe.net/contrib/density.html
As of 05-03-2014

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas Probes per Country
5
* As of 05-03-2014
Source: https://atlas.ripe.net/contrib/density.html
*

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas Probes per Country
6
* As of 19-09-2013
Source: https://atlas.ripe.net/contrib/density.html
*

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas Probes per Country
7
* As of 05-03-2014
Source: https://atlas.ripe.net/contrib/density.html
*

RIPE Atas & RIPEstat, MENOG 14
• RIPE Atlas anchors
_ Collecting data as enhanced RIPE Atlas probes
_ Acting as targets for regional measurements
_ Production since October 2013
8
RIPE Atlas Anchors
40+ anchors (March 2014)
Source: https://atlas.ripe.net/contrib/density.html

RIPE Atas & RIPEstat, MENOG 14
• RIPE Atlas anchors
9
RIPE Atlas Anchors
Source: https://atlas.ripe.net/contrib/density.html

RIPE Atas & RIPEstat, MENOG 14
• RIPE Atlas anchors
_ https://atlas.ripe.net/get-involved/become-an-anchor-host/
_ Bandwidth requirements
_ 10 Mbit stated but actually around 200 kbit
10
RIPE Atlas Anchors

RIPE Atas & RIPEstat, MENOG 14
Recent Developments
• Status Checks
_ Use the power of Atlas to monitor your network
_ Simple steps:
1. Create a ping measurement => measurement ID
2. https://atlas.ripe.net/api/v1/status-checks/<measurementID>/
11

RIPE Atas & RIPEstat, MENOG 14
Recent Developments
• Status Checks
_ Usable in monitoring applications
!
!
_ Options to customise
_ maximum packet loss before triggering alarm
_ number of measurements included…
https://atlas.ripe.net/docs/status-checks/
- Beta status!
!
12

RIPE Atas & RIPEstat, MENOG 14
Recent Developments
• Zoomable ping graphs (build-ins)
13

RIPE Atas & RIPEstat, MENOG 14
Recent Developments
• Seismograph (UDMs)
14
RIPE
Labs article about
“Investing in slow
servers”
Source: https://labs.ripe.net/Members/suzanne_taylor_muzzin/
using-ripe-atlas-to-investigate-slow-servers

RIPE Atas & RIPEstat, MENOG 14
Recent Developments
• Quick Look available for DNS, traceroute and ping
!
!
!
!
!
• On-going discussion about HTTP measurement
_ Restricted to anchors as targets
15

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas Probes Map - Reachability of K-Root
16
Source: https://atlas.ripe.net/results/maps/reachability/?id=1001
As of 05-03-2014

RIPE Atas & RIPEstat, MENOG 14
RIPE Atlas Probes Map - DNS K-Root Instances
17
Source: https://atlas.ripe.net/contrib/root_anycast.html?msm_id=1

RIPE Atas & RIPEstat, MENOG 14
Introduction to RIPEstat
18
• Modular & extendable toolbox
• Single interface for Internet-related data
_ Routing data (collected by RRC network)
_ Registration data
_ DNS data
_ Geolocation data
_ Data collected by Atlas
_ ...
• RIPEstat is driven by user feedback

RIPE Atas & RIPEstat, MENOG 14
Introduction to RIPEstat
• https://stat.ripe.net 
!
• RIPEstat Widget API 
!
• RIPEstat Data API / RIPEstat Text API
19
https://stat.ripe.net/data/routing-status/data.json?resource=AS3333

RIPE Atas & RIPEstat, MENOG 14
RIPEstat
20
Live Demo
https://stat.ripe.net

RIPE Atas & RIPEstat, MENOG 14
Update on DNSMON
21
• Measures quality of high-level DNS servers
- root serves & some TLD servers
• Based on Atlas anchor measurement data
• Current and historical data
• Public beta:
https://atlas.ripe.net/dnsmon/

RIPE Atas & RIPEstat, MENOG 14
• RIPE Atlas
_ atlas@ripe.net
• RIPEstat
_ stat@ripe.net
• DNSMON
_ dnsmon@ripe.net
• Past/Current/Future Developments
_ http://roadmap.ripe.net/
22
Feedback

The document provides an overview of recent developments and new features on tools from the RIPE NCC, including RIPE Labs, the Statistics Dashboard, the RIPE NCC Roadmap, IPv6 statistics, RIPEstat, and RIPE Atlas. RIPE Labs is a platform for testing new tools, sharing research, and discussion. The Statistics Dashboard consolidates metrics in one place with tags. The Roadmap outlines future plans. IPv6 adoption is tracked. RIPEstat integrates data sources and a new interface. RIPE Atlas now has over 3,000 probes for network measurements.

RIPE Atlas Monitoring Tutorial

APNIC

This document summarizes a presentation about using RIPE Atlas, a global network measurement platform. It discusses creating measurements using the web interface or API to monitor networks and troubleshoot issues. Integration with monitoring systems like Nagios is covered, along with real-time streaming of measurement results. New features like LatencyMON for long-term monitoring and a CLI toolset for accessing RIPE Atlas from the terminal are also summarized. Hands-on exercises are included to have attendees create measurements and set up status checks.

RIPE Atlas Tutorial

RIPE NCC

Here are the steps to create a ping measurement using the web interface: 1. Log into https://atlas.ripe.net/ and go to "My Atlas" > "Measurements" 2. Click "New Measurement" and select "Ping" 3. Enter a target IP or hostname of your choice 4. Set the number of probes to 10 5. Select the SANOG region 6. Set the measurement duration to 2 days 7. Click "Create Measurement" 8. Copy the "API Compatible Specification" and paste it into a text file for later use with the API. 9. Take note of the new measurement ID (MSM-

RIPE Atlas Update

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RIPE Atlas is a global measurement platform consisting of over 8,300 volunteer-hosted devices that run tests like ping, traceroute, and DNS to monitor and map the internet. The devices are open for anyone to run custom measurements from. While coverage is good in Europe, device distribution is lacking in many major cities and networks in South Asia. Prototype applications have been developed on top of Atlas data to analyze concepts like keeping local traffic local within countries. Individuals and organizations are encouraged to host devices or sponsor Atlas to help expand coverage and allow more robust internet analyses.

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Network Visualisation: Focus on RIPE Atlas

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This document provides an overview of the RIPE Atlas network measurement platform and tools for visualizing network data. It describes the RIPE Atlas probe network and available measurements, including built-in and custom measurements. Tools are presented for visualizing latency data from ping measurements (LatencyMON), DNS performance (DNSMON), and domain name server data (DomainMON). The document also discusses using the RIPE Atlas command line interface and APIs to interact with the platform and build custom visualizations. An invitation is extended to experiment with these tools.

RIPE NCC Measurement Data and Tools

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This document discusses measurement data and tools provided by RIPE NCC. It describes registry data from the regional internet registries and internet routing registry. It also describes routing data collected from RIPE NCC's Routing Information Service with over 18 collectors. Further, it discusses RIPE Atlas, a global network for internet measurements with over 10,000 probes. Tools like RIPEstat and visualizations are described that provide access and visualization of this measurement data.

The document discusses several measurement and analysis tools provided by RIPE NCC, including RIPE Atlas, RIPEstat, and IPv6 RIPEness. RIPE NCC aims to engage network operators in using these tools and providing feedback to build a community around improving Internet measurements. Key tools discussed include RIPE Atlas for an Internet measurement network, RIPEstat for accessing statistics and status of IP addresses and ASNs, and IPv6 RIPEness for measuring IPv6 capabilities of networks. RIPE NCC encourages community involvement to further develop and utilize these tools.

RIPEstat, RIPE Atlas and the new DNSMON

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This document discusses RIPEstat and RIPE Atlas network monitoring tools. It provides an overview of RIPEstat's features for searching Internet resource data and integrating data from various sources. RIPE Atlas allows network operators to monitor their networks from outside using probes in over 5,000 locations. The document outlines how to schedule measurements in RIPE Atlas and create status checks to integrate with monitoring systems like Nagios. It also reviews DNS monitoring and new features like the zoomable ping graph.

RIPE Labs Operator Tools, Ideas, Analysis

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This document summarizes a presentation given at an AMS-IX meeting about RIPE Labs and related operator tools. It discusses how RIPE Labs serves as a platform for the operator community to test new tools, share ideas and research, and provide feedback. Specific projects highlighted include measurements of IPv6 readiness, World IPv6 Day data, and tools like RIPE Atlas and RIPEstat that provide network measurement and analysis. The presenter encourages participation in RIPE Labs and feedback to help guide its further development.

Using RIPE Atlas and RIPEstat for Network Analysis

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RIPEstat Public demo 21 February 2012

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RIPEstat is a tool that provides lookup and statistics for IP addresses, autonomous system numbers (ASNs), and related Internet number resources. This document discusses new features added to RIPEstat, including reverse DNS lookup functionality, an improved AS routing consistency widget, and AS neighbors information. Future focus areas include expanding the data and widget APIs, improving the AS neighbors widget, and integrating RIPE NCC Access for user personalization and comments. Feedback is encouraged to further improve RIPEstat.

ION Ljubljana - Nathalie Trenaman: World IPv6 Launch and RIPE Atlas Visualisa...

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RIPE NCC conducted active measurements of the 2012 World IPv6 Launch from May 19 to June 18 using 53 vantage points to measure DNS records, ping, traceroute, and HTTP performance over IPv6 for 60 participating networks. The results showed that most sites kept IPv6 enabled as intended, though some did not enable it during the event. RIPE also demonstrated tools for visualizing IPv6 connectivity and performance using its RIPE Atlas probes to trace routes to networks, with options to view results by autonomous system or get raw data. Feedback was sought on the traceroute visualization tool to help improve debugging of network issues.

RIPE NCC Tools and Measurements

RIPE NCC

RIPE NCC tools and measurements include RIPE Atlas and RIPEstat. RIPE Atlas is a global Internet measurement network with over 5,000 probes that can monitor network performance and outages. RIPEstat provides information about Internet number resources by integrating data from the RIPE Database, routing data, and measurements from RIPE Atlas and other external sources. The presentation discussed features of these tools and how individuals and organizations can participate in and benefit from RIPE Atlas and RIPEstat.

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Tools & Measurements

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Network Monitoring Using RIPE Atlas

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Network operators can monitor the health of their networks using tools like Nagios and Icinga that can receive input from RIPE Atlas via its API. RIPE Atlas allows operators to do ping measurements from over 5,000 probes around the world to look at their network from the outside. Operators can integrate RIPE Atlas measurements into their existing monitoring practices. RIPE Atlas uses a credit system to ensure fairness when performing measurements like pings and traceroutes. The RIPE Atlas community on GitHub provides examples of configurations for monitoring tools like Icinga to integrate RIPE Atlas status checks.

Introduction to RIPE Atlas

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RIPE Atlas

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This document discusses RIPE Atlas, a global Internet measurement network. It summarizes the key features of RIPE Atlas including the six types of measurements it can perform. It also discusses how measurements are started through the GUI, APIs, and CLI tools. Visualizations of results are shown including maps, lists, and LatencyMON. Examples are given of research done using RIPE Atlas data, including measuring internet exchange points and identifying internet disruptions. Ways to participate in RIPE Atlas through hosting probes or attending events are also mentioned.

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RIPE Routing Information Service

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The document discusses the Routing Information Service (RIS) maintained by RIPE NCC, which collects and stores BGP routing data from routers located at Internet exchange points worldwide. It has evolved over 15+ years from a single server to a large distributed system using Apache Hadoop to store and process exabytes of routing data. The RIS data is freely available to network operators and researchers through raw data downloads, APIs, and web interfaces like RIPEstat to enable analysis of routing behavior, anomalies, and internet infrastructure trends over time.

More Measurements: Expanding RIPE Atlas Anchors

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RIPE Atlas is a global network of Internet measurement probes that is used to monitor Internet connectivity and reachability in real-time. The presentation discusses expanding the network by increasing the number of probes and anchors. It provides examples of how RIPE Atlas is used for tasks like investigating network problems, monitoring domains, and researching the impact of Internet disruptions. The community is encouraged to get involved by hosting probes or anchors, contributing code to GitHub, and becoming an ambassador.

IPv6 in Finland - What Did We Measure?

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This document discusses measurements of IPv6 deployment in Finland. It finds that while IPv6 readiness among internet infrastructure organizations in Finland is high, actual end-user IPv6 usage was only around 4% until recently, when one major Finnish ISP increased their IPv6 customers to 11%. IPv6 performance measurements show IPv6 is sometimes faster but usually on par with IPv4, suggesting dual-stack networks can take advantage of both protocols for optimal performance. In conclusion, Finland is beginning to deploy IPv6 more broadly but significant latent IPv6 capacity remains among infrastructure and end-users.

Using RIPEstat

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This document provides an overview of the RIPEstat tool and its various interfaces: 1. The RIPEstat web interface allows users to search for network resources and view related data in widgets grouped by tabs. It includes features like custom views and comparing results. 2. The RIPEstat Widget API allows embedding widgets on external sites. 3. The RIPEstat Data API provides programmatic access to raw data for custom applications or scripts. Tasks and examples are provided for exploring features like analyzing routing data, finding abuse contacts, and creating monitoring checks using the RIPEstat APIs.

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APNIC

This document discusses how to use RIPE Atlas for network monitoring. It describes a three step process: 1) Creating a ping measurement in RIPE Atlas to monitor a target, 2) Creating status checks in RIPE Atlas to define alert parameters, 3) Integrating the status checks into monitoring systems like Icinga using the API and examples provided. The document provides links to documentation on scheduling measurements, defining status checks, and community contributed configuration code for Icinga.

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Know Your Network; why every network operator should host a RIPE Atlas probe

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Gerardo-Viviers-RPKI-presentation-DKNOG14.pdf

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LIA HESTINA - Minimising impact before incidents occur with RIPE Atlas and RIS

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This document discusses how network operators can minimize the impact of incidents on their networks using RIPE Atlas and Routing Information Services (RIS). It recommends strategically deploying RIPE Atlas probes and peering with RIS to continuously monitor the network. It also suggests setting up alerts to detect abnormalities and anomalies swiftly. Additional recommendations include maintaining low latency through debugging, and impressing customers by showcasing network performance.

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This document discusses RPKI (Resource Public Key Infrastructure) for securing Internet routing. It provides statistics on RPKI adoption in Luxembourg and neighboring countries, showing that while Luxembourg has over 65% of its address space covered by ROAs, not all networks have fully implemented RPKI. The goal is 100% RPKI implementation to validate all routes and prevent route hijacking, but obstacles still exist to full deployment. The presenter's contact information is provided for any questions.

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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security. Paper Link: https://eprint.iacr.org/2024/257

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Monitoring and Managing Anomaly Detection on OpenShift Overview Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices. Key Topics Covered 1. Introduction to Anomaly Detection - Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems. 2. Understanding Edge (IoT) - Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source. 3. What is ArgoCD? - Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices. 4. Deployment Using ArgoCD for Edge Devices - Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD. 5. Introduction to Apache Kafka and S3 - Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions. 6. Viewing Kafka Messages in the Data Lake - Learn how to view and analyze Kafka messages stored in a data lake for better insights. 7. What is Prometheus? - Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices. 8. Monitoring Application Metrics with Prometheus - Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system. 9. What is Camel K? - Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes. 10. Configuring Camel K Integrations for Data Pipelines - Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow. 11. What is a Jupyter Notebook? - Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text. 12. Jupyter Notebooks with Code Examples - Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.

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The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe

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Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market. Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.

“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/ Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit. The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers. Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.

Mutation Testing for Task-Oriented Chatbots

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Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots. To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.

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1. RIPE Atlas & RIPEstat MENOG 14 ! Christian Teuschel plus a taste of DNSMON

2. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas - Active Measurements Network https://atlas.ripe.net ! • Next-generation Internet measurements network _ Thousands of measurement vantage points _ Probes run different measurements: ping, traceroute, SSL, DNS ! • Instead of building small, individual, private infrastructures, build a HUGE common infrastructure that serves both private and community goals 2

3. RIPE Atas & RIPEstat, MENOG 14 • 5000+ active probes • 7000+ active users worldwide 3 RIPE Atlas Update Source: https://atlas.ripe.net/results/maps/network-coverage/

4. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas Probes per Country 4 Source: https://atlas.ripe.net/contrib/density.html As of 05-03-2014

5. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas Probes per Country 5 * As of 05-03-2014 Source: https://atlas.ripe.net/contrib/density.html *

6. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas Probes per Country 6 * As of 19-09-2013 Source: https://atlas.ripe.net/contrib/density.html *

7. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas Probes per Country 7 * As of 05-03-2014 Source: https://atlas.ripe.net/contrib/density.html *

8. RIPE Atas & RIPEstat, MENOG 14 • RIPE Atlas anchors _ Collecting data as enhanced RIPE Atlas probes _ Acting as targets for regional measurements _ Production since October 2013 8 RIPE Atlas Anchors 40+ anchors (March 2014) Source: https://atlas.ripe.net/contrib/density.html

9. RIPE Atas & RIPEstat, MENOG 14 • RIPE Atlas anchors 9 RIPE Atlas Anchors Source: https://atlas.ripe.net/contrib/density.html

10. RIPE Atas & RIPEstat, MENOG 14 • RIPE Atlas anchors _ https://atlas.ripe.net/get-involved/become-an-anchor-host/ _ Bandwidth requirements _ 10 Mbit stated but actually around 200 kbit 10 RIPE Atlas Anchors

11. RIPE Atas & RIPEstat, MENOG 14 Recent Developments • Status Checks _ Use the power of Atlas to monitor your network _ Simple steps: 1. Create a ping measurement => measurement ID 2. https://atlas.ripe.net/api/v1/status-checks/<measurementID>/ 11

12. RIPE Atas & RIPEstat, MENOG 14 Recent Developments • Status Checks _ Usable in monitoring applications ! ! _ Options to customise _ maximum packet loss before triggering alarm _ number of measurements included… https://atlas.ripe.net/docs/status-checks/ - Beta status! ! 12

13. RIPE Atas & RIPEstat, MENOG 14 Recent Developments • Zoomable ping graphs (build-ins) 13

14. RIPE Atas & RIPEstat, MENOG 14 Recent Developments • Seismograph (UDMs) 14 RIPE Labs article about “Investing in slow servers” Source: https://labs.ripe.net/Members/suzanne_taylor_muzzin/ using-ripe-atlas-to-investigate-slow-servers

15. RIPE Atas & RIPEstat, MENOG 14 Recent Developments • Quick Look available for DNS, traceroute and ping ! ! ! ! ! • On-going discussion about HTTP measurement _ Restricted to anchors as targets 15

16. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas Probes Map - Reachability of K-Root 16 Source: https://atlas.ripe.net/results/maps/reachability/?id=1001 As of 05-03-2014

17. RIPE Atas & RIPEstat, MENOG 14 RIPE Atlas Probes Map - DNS K-Root Instances 17 Source: https://atlas.ripe.net/contrib/root_anycast.html?msm_id=1

18. RIPE Atas & RIPEstat, MENOG 14 Introduction to RIPEstat 18 • Modular & extendable toolbox • Single interface for Internet-related data _ Routing data (collected by RRC network) _ Registration data _ DNS data _ Geolocation data _ Data collected by Atlas _ ... • RIPEstat is driven by user feedback

19. RIPE Atas & RIPEstat, MENOG 14 Introduction to RIPEstat • https://stat.ripe.net  ! • RIPEstat Widget API  ! • RIPEstat Data API / RIPEstat Text API 19 https://stat.ripe.net/data/routing-status/data.json?resource=AS3333

20. RIPE Atas & RIPEstat, MENOG 14 RIPEstat 20 Live Demo https://stat.ripe.net

21. RIPE Atas & RIPEstat, MENOG 14 Update on DNSMON 21 • Measures quality of high-level DNS servers - root serves & some TLD servers • Based on Atlas anchor measurement data • Current and historical data • Public beta: https://atlas.ripe.net/dnsmon/

22. RIPE Atas & RIPEstat, MENOG 14 • RIPE Atlas _ atlas@ripe.net • RIPEstat _ stat@ripe.net • DNSMON _ dnsmon@ripe.net • Past/Current/Future Developments _ http://roadmap.ripe.net/ 22 Feedback

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