This document summarizes a presentation given by Emile Aben from RIPE NCC about tools and data available to network operations centers from RIPE. It discusses RIPE Atlas, Routing Information Service, RIPEstat, and opportunities for collaboration between RIPE and NOCs. The goal is to understand how well these resources meet NOC needs and how they could be improved.
How does LinkedIn monitor its network infrastructure.
Slides from the talk: Infrastructure Engineering @Scale, Meetup (https://www.meetup.com/Infrastructure-Engineering-Scale/events/243011551/)
4th Nov 2017
Bangalore, IN
Kentik Detect Engine - Network Field Day 2017gvillain
Dan Ellis (CTO@Kentik) presents and discusses the technology and platform behind Kentik Detect Engine.
Links to the video of the presentation: https://kentik.com/nfd14
How does LinkedIn monitor its network infrastructure.
Slides from the talk: Infrastructure Engineering @Scale, Meetup (https://www.meetup.com/Infrastructure-Engineering-Scale/events/243011551/)
4th Nov 2017
Bangalore, IN
Kentik Detect Engine - Network Field Day 2017gvillain
Dan Ellis (CTO@Kentik) presents and discusses the technology and platform behind Kentik Detect Engine.
Links to the video of the presentation: https://kentik.com/nfd14
The Apache Way - Building Open Source Community in China - Luke HanLuke Han
My presentation at ApacheCon 2016 NA, talking about our practices to build open source community (Apache Kylin) in China, about the challenge, the culture different, the language and so on.
Also have a overview about Open Source in China, about the changing happening now there.
It's good reference for people have interesting to extend their community in China, to engage more Chinese even Asia developers to double their open source community and adoption.
How Disney+ uses fast data ubiquity to improve the customer experience Martin Zapletal
Disney+ uses Amazon Kinesis to drive real-time actions like providing title recommendations for customers, sending events across microservices, and delivering logs for operational analytics to improve the customer experience. In this session, you learn how Disney+ built real-time data-driven capabilities on a unified streaming platform. This platform ingests billions of events per hour in Amazon Kinesis Data Streams, processes and analyzes that data in Amazon Kinesis Data Analytics for Apache Flink, and uses Amazon Kinesis Data Firehose to deliver data to destinations without servers or code. Hear how these services helped Disney+ scale its viewing experience to tens of millions of customers with the required quality and reliability.
Learn more about re:Invent 2020 at http://bit.ly/3c4NSdY
If your business is heavily dependent on the Internet, you may be facing an unprecedented level of network traffic analytics data. How to make the most of that data is the challenge. This presentation from Kentik VP Product and former EMA analyst Jim Frey explores the evolving need, the architecture and key use cases for BGP and NetFlow analysis based on scale-out cloud computing and Big Data technologies.
Using InfluxDB for Full Observability of a SaaS Platform by Aleksandr Tavgen,...InfluxData
Aleksandr Tavgen from Playtech, the world’s largest online gambling software supplier, will share how they are using InfluxDB 2.0, Flux, and the OpenTracingAPI to gain full observability of their platform. In addition, he will share how InfluxDB has served as the glue to cope with multiple sets of time series data, especially in the case of understanding online user activity — a use case that is normally difficult without the math functions now available with Flux.
Project Controls Expo, 13th Nov 2013 - "Loading Cost and Activity data into P...Project Controls Expo
Two Acronyms - CPI:
The Planners CPI – that is Crap/Planning index – how long do you spend on typing, begging for informaCon, reformaDng the informaCon prior to input, checking that what you typed was what you thought you typed, as opposed to actually planning?
The increasing availability of mobile phones with embedded GPS devices and sensors has spurred the use of vehicle telematics in recent years. Telematics provides detailed and continuous information of a vehicle such as the location, speed, and movement. Vehicle telematics can be further linked with other spatial data to provide context to understand driving behaviors at the detailed level. However, the collection of high-frequency telematics data results in huge volumes of data that must be processed efficiently. And the raw sensor and GPS data must be properly pre-processed and transformed to extract signal relevant to downstream processes. In addition, driving behavior often depends on the spatial context, and the analysis of telematics must be contextualized using spatial and real-time traffic data.
Our talk covers the promises and challenges of telematics data. We present a framework for large-scaled telematics data analysis using Apache big data tools (Hadoop, Hive, Spark, Kafka, etc). We discuss common techniques to load and transform telematics data. We then present how to use machine learning on telematics data to derive insights about driving safety.
Speakers
Yanwei Zhang, Senior Data Scientists II, Uber
Neil Parker, Senior Software Engineer, Uber
The Apache Way - Building Open Source Community in China - Luke HanLuke Han
My presentation at ApacheCon 2016 NA, talking about our practices to build open source community (Apache Kylin) in China, about the challenge, the culture different, the language and so on.
Also have a overview about Open Source in China, about the changing happening now there.
It's good reference for people have interesting to extend their community in China, to engage more Chinese even Asia developers to double their open source community and adoption.
How Disney+ uses fast data ubiquity to improve the customer experience Martin Zapletal
Disney+ uses Amazon Kinesis to drive real-time actions like providing title recommendations for customers, sending events across microservices, and delivering logs for operational analytics to improve the customer experience. In this session, you learn how Disney+ built real-time data-driven capabilities on a unified streaming platform. This platform ingests billions of events per hour in Amazon Kinesis Data Streams, processes and analyzes that data in Amazon Kinesis Data Analytics for Apache Flink, and uses Amazon Kinesis Data Firehose to deliver data to destinations without servers or code. Hear how these services helped Disney+ scale its viewing experience to tens of millions of customers with the required quality and reliability.
Learn more about re:Invent 2020 at http://bit.ly/3c4NSdY
If your business is heavily dependent on the Internet, you may be facing an unprecedented level of network traffic analytics data. How to make the most of that data is the challenge. This presentation from Kentik VP Product and former EMA analyst Jim Frey explores the evolving need, the architecture and key use cases for BGP and NetFlow analysis based on scale-out cloud computing and Big Data technologies.
Using InfluxDB for Full Observability of a SaaS Platform by Aleksandr Tavgen,...InfluxData
Aleksandr Tavgen from Playtech, the world’s largest online gambling software supplier, will share how they are using InfluxDB 2.0, Flux, and the OpenTracingAPI to gain full observability of their platform. In addition, he will share how InfluxDB has served as the glue to cope with multiple sets of time series data, especially in the case of understanding online user activity — a use case that is normally difficult without the math functions now available with Flux.
Project Controls Expo, 13th Nov 2013 - "Loading Cost and Activity data into P...Project Controls Expo
Two Acronyms - CPI:
The Planners CPI – that is Crap/Planning index – how long do you spend on typing, begging for informaCon, reformaDng the informaCon prior to input, checking that what you typed was what you thought you typed, as opposed to actually planning?
The increasing availability of mobile phones with embedded GPS devices and sensors has spurred the use of vehicle telematics in recent years. Telematics provides detailed and continuous information of a vehicle such as the location, speed, and movement. Vehicle telematics can be further linked with other spatial data to provide context to understand driving behaviors at the detailed level. However, the collection of high-frequency telematics data results in huge volumes of data that must be processed efficiently. And the raw sensor and GPS data must be properly pre-processed and transformed to extract signal relevant to downstream processes. In addition, driving behavior often depends on the spatial context, and the analysis of telematics must be contextualized using spatial and real-time traffic data.
Our talk covers the promises and challenges of telematics data. We present a framework for large-scaled telematics data analysis using Apache big data tools (Hadoop, Hive, Spark, Kafka, etc). We discuss common techniques to load and transform telematics data. We then present how to use machine learning on telematics data to derive insights about driving safety.
Speakers
Yanwei Zhang, Senior Data Scientists II, Uber
Neil Parker, Senior Software Engineer, Uber
In this Meetup Yaar Reuveni – Team Leader & Nir Hedvat – Software Engineer from Liveperson Data Platform R&D team, will talk about the journey we made from early days of the data platform in production with high friction and low awareness to issues into a mature, measurable data platform that is visible and trustworthy.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
RIPE NCC Operations and Analysis Tools
1. Emile Aben | 27 November 2017 | SIG-NOC
RIPE NCC
Operations and
Analysis Tools
2. emile.aben@ripe.net | SIG-NOC | Nov 2017 2
My Goals
• Show you tools and data available from RIPE
NCC
• Do these meet your NOC needs?
• How can we make things better?
3. emile.aben@ripe.net | SIG-NOC | Nov 2017 3
Confession
• I don’t have a NOC background
• My assumptions about a NOC
- Has a very good view of their own network
- Affected by things happening outside of their own network
By Alan Levine from United States - Network Operations Center, CC
BY 2.0, https://commons.wikimedia.org/w/index.php?curid=2487597
9. emile.aben@ripe.net | SIG-NOC | Nov 2017 9
RIPE Atlas: Coverage by tag
10214 system-ipv4-capable
7738 system-ipv4-rfc1918
731 datacentre
213 academic
82 noc
1 datacenter
https://gist.github.com/emileaben/cfa43dd68193407911ef6f7daa866bc1
https://sg-pub.ripe.net/emile/tmp/tags.2017-11-22.txt
10. emile.aben@ripe.net | SIG-NOC | Nov 2017 10
RIPE Atlas near Internet users?
• http://sg-pub.ripe.net/petros/population_coverage/table.html
11. emile.aben@ripe.net | SIG-NOC | Nov 2017 11
Most Popular Features
• Six types of measurements: ping, traceroute,
DNS, SSL/TLS, NTP and HTTP (to anchors)
• APIs to start measurements and get results
• Powerful and informative visualisations
• CLI tools
• Streaming data for real-time results
• “Time Travel”, LatencyMON
12. emile.aben@ripe.net | SIG-NOC | Nov 2017 12
NOC perspective?
• 10k RIPE Atlas probes =
- 10k remote Looking Glasses for some standard network
debugging tools: ping, traceroute
- Ability to look at your network outside-in
• Does this satisfy NOC needs?
• How can we make things better?
13. emile.aben@ripe.net | SIG-NOC | Nov 2017 13
Traceroute for Checking Reachability
• To start traceroute: GUI, API & CLI
• Results available as
• visualised on the map, as a list of details, LatencyMon
• download via API
• Real-time data streaming
• Many visualisations available
• List of probes: sortable by RTT
• Map: colour-coded by RTT
• LatencyMON: compare multiple latency trends
14. emile.aben@ripe.net | SIG-NOC | Nov 2017 14
RIPE Atlas CLI ToolSet
• Network troubleshooting from command line
• Familiar output (ping, dig, traceroute)
• Installation for Linux/OSX & Windows
[experimental]
• Included in many BSD and Linux distros
• Documentation
• Source code available, contributions welcome!
22. emile.aben@ripe.net | SIG-NOC | Nov 2017 22
“Paying” for your measurements
• Running your own measurements cost credits
- Ping = 10 credits, traceroute = 20, etc.
• Why? Fairness and to avoid overload
• Limited by daily spending limit and
measurement results limits
• Hosting a RIPE Atlas probe earns credits
• Earn extra credits by being RIPE NCC
members, hosting an anchor or sponsoring
24. emile.aben@ripe.net | SIG-NOC | Nov 2017 24
Data, Data, Data
• Don’t spend credits - Use Existing Data!
- For instance: DNS,ping,traceroute to DNS root-servers
25. emile.aben@ripe.net | SIG-NOC | Nov 2017 25
Status Checks
• Status checks work on ping measurements
• You define alert parameters, for example:
- Threshold for percentage of probes that successfully
received a reply
- How many of the most recent measurements to base it on
- Maximum packet loss acceptable
• Documentation:
- https://atlas.ripe.net/docs/api/v2/manual/measurements/
status-checks.html
https://atlas.ripe.net/api/v2/measurements/10275975/status-check/?
lookback=10&median_rtt_threshold=20&show_all=1&permitted_total_alerts=11&max_packet_loss=50
26. emile.aben@ripe.net | SIG-NOC | Nov 2017 26
Icinga Integration
• Community of operators contributed
configuration code!
- Making use of the built-in “check_http” plugin
• GitHub examples:
- https://github.com/RIPE-Atlas-Community/ripe-atlas-
community-contrib/blob/master/
scripts_for_nagios_icinga_alerts
• Post on Icinga blog:
- https://www.icinga.org/2014/03/05/monitoring-ripe-atlas-
status-with-icinga-2/
27. emile.aben@ripe.net | SIG-NOC | Nov 2017 27
Community
• Many community-contributed pieces of code
- https://github.com/RIPE-Atlas-Community/ripe-atlas-
community-contrib
- Example: https://github.com/pierky/ripe-atlas-monitor
• RIPE Labs
- https://labs.ripe.net
• Hackathons
28. emile.aben@ripe.net | SIG-NOC | Nov 2017 28
Challenges In Using RIPE Atlas
• Select the right vantage points
- Already possible: By ASN, country, tag, probe_id, geoloc
- As dissimilar as possible?
- Where eyeballs are?
- By AS-SET?
• Select the right destinations
• Timeliness of data
30. emile.aben@ripe.net | SIG-NOC | Nov 2017
• 18 BGP collectors and growing
• 600+ peers
• 150+ full-feed peers
30
Routing Data (RIS)
31. emile.aben@ripe.net | SIG-NOC | Nov 2017 31
Raw BGP data!
• 15+ years of raw data (5.8 TB) available to
download and analyse yourself :)
- https://www.ripe.net/analyse/internet-measurements/
routing-information-service-ris/ris-raw-data
• Readable using BGPdump utility
- open source, maintained by RIPE NCC
- https://bitbucket.org/ripencc/bgpdump
• …and by other tools
- CAIDA BGPStream: http://bgpstream.caida.org/
32. emile.aben@ripe.net | SIG-NOC | Nov 2017 32
Live stream demo
• Prototype!!
• Let’s see if it works
• http://stream-dev.ris.ripe.net/demo
• Live stream enables new applications
- BGP hijack detection
- Real time anomaly analysis
- Live monitoring of your routes
33. emile.aben@ripe.net | SIG-NOC | Nov 2017 33
NOC perspective?
• Big Looking Glass
• Useful for post-mortems?
• Monitoring around changes?
• Event signaling?
- THE INTERNET IS ON FIRE
- Something is happening near you
35. emile.aben@ripe.net | SIG-NOC | Nov 2017 35
RIPEstat
• Access to these datasets:
- RIPE Database (INR, IRR) and other RIRs
- BGP routing data (RIS)
- RIPE Atlas, M-Lab, Speedchecker, etc.
- Geolocation
- Blacklist
• New datasets are constantly added!
…
36. emile.aben@ripe.net | SIG-NOC | Nov 2017 36
Registry Data
• Registry of Internet number resources (INR)
• Five Regional Internet Registries
5,655 members
https://www.arin.net/about_us/membership/index.html - Nov 2017
7,222 members
http://www.lacnic.net/1009/2/lacnic/members-list - Nov 2017
17,402 members
https://labs.ripe.net/statistics/number-of-lirs - Nov 2017
1,540 members
http://www.afrinic.net/en/about/our-members - Nov 2017
6,436 members
https://www.apnic.net/get-ip/apnic-membership/who-are-our-members - Nov 2017
37. emile.aben@ripe.net | SIG-NOC | Nov 2017 37
Registry Data
• Internet Routing Registry (IRR)
• Purpose to facilitate routing (RPSL)
http://www.irr.net/docs/list.html
38. emile.aben@ripe.net | SIG-NOC | Nov 2017 38
RIPEstat
• https://stat.ripe.net
• RIPEstat widget API
• RIPEstat data API
- https://stat.ripe.net/data/routing-status/data.json?
resource=…
39. emile.aben@ripe.net | SIG-NOC | Nov 2017 39
RIPEstat Supported resources:
* IP address/prefix (v4/v6)
* ASN
* Domain names
* Country
40. emile.aben@ripe.net | SIG-NOC | Nov 2017 40
RIPEstat - Data API
• More than 50 data calls
• Documentation:
https://stat.ripe.net/docs/data_api
• Building blocks
• Integration in open tools
41. emile.aben@ripe.net | SIG-NOC | Nov 2017 41
RIPEstat - Widget API
• HTML5/CSS/JS applications
• Standard Javascript
• JQuery
• Require.js
• More than 50 widgets
• Documentation
• https://stat.ripe.net/docs/widget_api
• Embed into NOC dashboards?
46. emile.aben@ripe.net | SIG-NOC | Nov 2017 46
Internet Events
• Something is happening on the Internet!
- Global impact
- Local impact
- Your topological neighbors
- Your geographical area
- What events do you want to be signalled on?
- How? Email, Social media (Twitter), App …
47. Presenter name | Event | Date 47
An Internal Alerting System
• We have internal alerts
on BGP weirdness
- A country drops >10% ASNs
- An ASN adds 200+ prefixes
- Total pfx count changes >500
• It’s noisy and messy
• 5 minutes delay is a
life-time when turds-hit-
the-fan
at 17:54Z:
48. emile.aben@ripe.net | SIG-NOC | Nov 2017 48
Example: Level3 - 2017-11-06
• Did it affect you?
• What actionable
signals do you want?
By Alan Levine from United States - Network Operations Center, CC
BY 2.0, https://commons.wikimedia.org/w/index.php?curid=2487597
49. emile.aben@ripe.net | SIG-NOC | Nov 2017 49
Research Collaborations
• Goal: Make research more useful to Internet
operations
• How?
- Actively collaborate with external researchers
- Internships
- Draw researchers attention to operational needs we hear
from RIPE community
- Make operations aware of useful research
- Focus on code and tools
- Your idea here!
50. emile.aben@ripe.net | SIG-NOC | Nov 2017 50
Interesting NOC Data for Research
• Correlate RIPE Atlas, RIS and other data to
NOC data
- “Did something happen near AS23456 5 mins ago?”
- “Did something happen near Hamburg in the last hour?”
- “We changed our network at 13:55, did something change
near us?”
- Receiving these questions from NOCs might be interesting
data in itself!
• Structural data on events in your networks
- Maintenance windows? DDoS events?