1. The document appears to be a network diagram containing router and switch information including device names, interface numbers, and IP addresses.
2. A variety of devices are listed from different vendors such as NEC, Juniper, and Cisco.
3. The network diagram shows connections between devices in Japan, America, UK and other countries, and includes information on transit networks, peers, and internet exchange points.
This document contains network topology information for IDCF's data center in Tokyo, including device names, IP addresses, and connectivity between devices. Key infrastructure components include routers, switches, firewalls from vendors like Cisco, Juniper, Huawei, and Arista. The network connects to internet exchanges and transit providers to enable cloud and hosting services.
This document contains a list of numeric and alphanumeric codes, some separated by periods, hyphens, or slashes. There are also some Japanese and English terms interspersed throughout. The codes and terms relate to network devices, links, and services.
The document appears to be a list of alphanumeric codes and numbers that relate to network transit and peering relationships between internet service providers and networks. It includes codes for organizations like JPIXKDDI, JGN-XDIX-IE, OCN, JPNAP ntt.net, IIJ, NTTComWIDE, SoftBank, and BBIX as well as numeric codes that may represent autonomous system numbers or IP address blocks.
The document contains a list of alphanumeric strings that appear to be device identifiers or network addresses. It also includes numeric values that could be port numbers or other identifiers. The strings are interspersed with IP addresses, interface names, router names, location information and other networking-related terms.
This document contains technical information about networking equipment and configurations including interface, router, switch and other device names as well as IP addresses, protocols and other connectivity details. It discusses components such as BGP, VSS, ISSR and their roles in various locations including NTT, StarBED and conferences.
1. The document appears to be a network diagram containing router and switch information including device names, interface numbers, and IP addresses.
2. A variety of devices are listed from different vendors such as NEC, Juniper, and Cisco.
3. The network diagram shows connections between devices in Japan, America, UK and other countries, and includes information on transit networks, peers, and internet exchange points.
This document contains network topology information for IDCF's data center in Tokyo, including device names, IP addresses, and connectivity between devices. Key infrastructure components include routers, switches, firewalls from vendors like Cisco, Juniper, Huawei, and Arista. The network connects to internet exchanges and transit providers to enable cloud and hosting services.
This document contains a list of numeric and alphanumeric codes, some separated by periods, hyphens, or slashes. There are also some Japanese and English terms interspersed throughout. The codes and terms relate to network devices, links, and services.
The document appears to be a list of alphanumeric codes and numbers that relate to network transit and peering relationships between internet service providers and networks. It includes codes for organizations like JPIXKDDI, JGN-XDIX-IE, OCN, JPNAP ntt.net, IIJ, NTTComWIDE, SoftBank, and BBIX as well as numeric codes that may represent autonomous system numbers or IP address blocks.
The document contains a list of alphanumeric strings that appear to be device identifiers or network addresses. It also includes numeric values that could be port numbers or other identifiers. The strings are interspersed with IP addresses, interface names, router names, location information and other networking-related terms.
This document contains technical information about networking equipment and configurations including interface, router, switch and other device names as well as IP addresses, protocols and other connectivity details. It discusses components such as BGP, VSS, ISSR and their roles in various locations including NTT, StarBED and conferences.
The document contains technical network device and infrastructure information including networking equipment models, interface and port configurations, IP addresses, domains, and monitoring servers. Precautions are noted for pods 1, 5, and 7. Apologies are offered for any issues with the large amount of technical information provided.
The document contains a list of technical terms and identifiers related to networking equipment, interfaces, and addresses. It includes interface names, device models, IP addresses, autonomous system numbers, and other networking identifiers.
The document contains a network diagram and list of VLAN IDs and IP addresses for various devices in a data center network. Key details include pods for IPv6 migration, different areas of the data center like the NOC room, and VLANs/subnets assigned to switches, firewalls, and other network devices. Public peers and transit links to other networks are also mentioned.
The document contains a list of network connections and equipment located in the Otemachi area. It details various types of connections such as Gigabit Ethernet, OC-3, OC-12 and OC-48 links using both single mode fiber (SMF) and multi-mode fiber (MMF). Locations connected include Otemachi buildings, Mitsubishi Gas Chemical, and an international conference center.
The document contains a list of interface, device, and network identifiers. It includes interface names like ge-0-0, device names like cat4006 and manager, and network addresses like 10.101.1/24. The document also includes notes about network types and protocols like OSPF.
This document contains a list of interface names and identifiers from multiple networking devices, as well as IP addresses, subnets, wireless network names and other networking configuration information.
This document contains a list of interface names and numbers for various networking devices. It includes interface names starting with xg, gt, hg, and ge as well as interface numbers ranging from 1 to 2502. The interfaces seem to belong to switches, routers and other networking gear that are connected together to form a network fabric.
This document contains a list of networking device identifiers, IP addresses, and other technical information. It includes identifiers for routers, switches, firewalls, and other networking gear from various vendors like Cisco, Juniper, Fujitsu, and more. Locations and organizations are also referenced, such as NEC, Life Sciences, and NOC control rooms. Prefixes, subnets, and VLANs are defined throughout.
The document appears to be a list of networking equipment, locations, and configurations. It includes abbreviations and codes for different devices, ports, and network segments. Specific devices, ports, and addresses are listed along with location codes like "podx" and network prefixes like "45/8". Cost values and priority numbers are also included for certain network segments.
This diagram depicts the connectivity between various cloud providers and networks. It shows the physical connections between cloud platforms like AWS, Azure, Google Cloud, and others. It also illustrates the internet exchanges and network providers that interconnect these cloud networks globally.
ShowNet2021 展示会場内説明スライド(parapara)
DC
オンプレ/クラウド連携と柔軟なストレージで実現する高信頼サービス
・ShowNetを支えるハイブリッドクラウド構成の仮想化基盤
・NVMe over Fabrics を活用した高速コンテナストレージの実現
・オンプレ/マルチクラウドにまたがったKubernetesマルチクラスタによる柔軟なサービス管理
The document contains technical network device and infrastructure information including networking equipment models, interface and port configurations, IP addresses, domains, and monitoring servers. Precautions are noted for pods 1, 5, and 7. Apologies are offered for any issues with the large amount of technical information provided.
The document contains a list of technical terms and identifiers related to networking equipment, interfaces, and addresses. It includes interface names, device models, IP addresses, autonomous system numbers, and other networking identifiers.
The document contains a network diagram and list of VLAN IDs and IP addresses for various devices in a data center network. Key details include pods for IPv6 migration, different areas of the data center like the NOC room, and VLANs/subnets assigned to switches, firewalls, and other network devices. Public peers and transit links to other networks are also mentioned.
The document contains a list of network connections and equipment located in the Otemachi area. It details various types of connections such as Gigabit Ethernet, OC-3, OC-12 and OC-48 links using both single mode fiber (SMF) and multi-mode fiber (MMF). Locations connected include Otemachi buildings, Mitsubishi Gas Chemical, and an international conference center.
The document contains a list of interface, device, and network identifiers. It includes interface names like ge-0-0, device names like cat4006 and manager, and network addresses like 10.101.1/24. The document also includes notes about network types and protocols like OSPF.
This document contains a list of interface names and identifiers from multiple networking devices, as well as IP addresses, subnets, wireless network names and other networking configuration information.
This document contains a list of interface names and numbers for various networking devices. It includes interface names starting with xg, gt, hg, and ge as well as interface numbers ranging from 1 to 2502. The interfaces seem to belong to switches, routers and other networking gear that are connected together to form a network fabric.
This document contains a list of networking device identifiers, IP addresses, and other technical information. It includes identifiers for routers, switches, firewalls, and other networking gear from various vendors like Cisco, Juniper, Fujitsu, and more. Locations and organizations are also referenced, such as NEC, Life Sciences, and NOC control rooms. Prefixes, subnets, and VLANs are defined throughout.
The document appears to be a list of networking equipment, locations, and configurations. It includes abbreviations and codes for different devices, ports, and network segments. Specific devices, ports, and addresses are listed along with location codes like "podx" and network prefixes like "45/8". Cost values and priority numbers are also included for certain network segments.
This diagram depicts the connectivity between various cloud providers and networks. It shows the physical connections between cloud platforms like AWS, Azure, Google Cloud, and others. It also illustrates the internet exchanges and network providers that interconnect these cloud networks globally.
ShowNet2021 展示会場内説明スライド(parapara)
DC
オンプレ/クラウド連携と柔軟なストレージで実現する高信頼サービス
・ShowNetを支えるハイブリッドクラウド構成の仮想化基盤
・NVMe over Fabrics を活用した高速コンテナストレージの実現
・オンプレ/マルチクラウドにまたがったKubernetesマルチクラスタによる柔軟なサービス管理
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
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.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.