Twin sons of different mothers latency and bandwidth 2
•Download as PPTX, PDF•
0 likes•104 views
High volume (ex: Iot) and large rich packet applications are driving requirements for ever lower latency and increased bandwidth. This presentation discusses the issues and remedies to address these two important data center considerations.
Report
Share
Report
Share
Recommended
Smart Data for Smart Meters - Presentation at Pilod2 Meeting 2013-11-13
On 2013-11-13 I gave a presentation on the use of the energy labels dataset of the Dutch Ministry of Economic Affairs. I first turned their XML dataset into 5-star LOD (by linking it to the BAG) and then created a Web application that runs on top of it.
Beitarie, "Toward Service-Oriented Librarianship"
This presentation was provided by Oren Beit-Arie of Ex Libris, Inc. during the NISO event, "Library Resource Management Systems: New Challenges, New Opportunities," held October 8 - 9, 2009.
Linking Open Data in Ireland's Digital Ocean
A presentation given during the Marine Institute's in-company event as part of the Galway AtlanTEC Festival of Technology, May 2016.
Mongodb Presentation
The document discusses 10gen, the company behind MongoDB, and MongoDB features. 10gen provides commercial services like training, consulting, and support subscriptions for MongoDB. MongoDB is an open-source, document-oriented database that is easy to use, scalable, and supports rich data models. It provides features like auto-sharding, replication, and indexing. MongoDB is well-suited for applications with electronic health records due to its ability to handle sparse and evolving data schemas.
Give your microservices a bus ride with MassTransit
Microservices architecture is still a hot topic but many do not do it right. Challenges like cross-service dependencies, orchestration and load balancing require more and more bike-shedding instead of concentrating on the business capabilities. Using asynchronous messages, many of technical issues can be solved. Learn how to use advanced messaging patterns in your services.
Slides are from a workshop given at Progressive .NET Tutorials 2017. Repository is on Github: https://github.com/alexeyzimarev/ProgNet2017.MassTransit
Kuliah5sejarahsenidimalaysiasia1 120926064926-phpapp02
This document discusses Malaysian artists and their works from the early to mid 20th century. It lists the names of various artists such as Yong Mun Sen, Abdullah Arif, Tay Hooi Kiat, Lai Fong Moi, and Chen Wen Hsi. It also lists the titles and dates of their paintings, which often depicted Malaysian village scenes, landscapes, and daily life. Some of the paintings mentioned include "Untitled" by Yong Mun Sen from 1953, "Sea Side Village" by Yong Mun Sen from 1950, and "Fishing Net" by Yong Mun Sen from 1949.
The Six Month Data Center
In this presentation Chris Crosby discusses the elements necessary to deliver a data center in six months
Cloud computing: Legal and ethical issues in library and information services
Provides an overview of what is cloud computing and its role in library networking and automation. It presents the legal and ethical issues facing library and information specialists when using cloud computing including confidentiality, privacy and licensing.
Recommended
Smart Data for Smart Meters - Presentation at Pilod2 Meeting 2013-11-13
On 2013-11-13 I gave a presentation on the use of the energy labels dataset of the Dutch Ministry of Economic Affairs. I first turned their XML dataset into 5-star LOD (by linking it to the BAG) and then created a Web application that runs on top of it.
Beitarie, "Toward Service-Oriented Librarianship"
This presentation was provided by Oren Beit-Arie of Ex Libris, Inc. during the NISO event, "Library Resource Management Systems: New Challenges, New Opportunities," held October 8 - 9, 2009.
Linking Open Data in Ireland's Digital Ocean
A presentation given during the Marine Institute's in-company event as part of the Galway AtlanTEC Festival of Technology, May 2016.
Mongodb Presentation
The document discusses 10gen, the company behind MongoDB, and MongoDB features. 10gen provides commercial services like training, consulting, and support subscriptions for MongoDB. MongoDB is an open-source, document-oriented database that is easy to use, scalable, and supports rich data models. It provides features like auto-sharding, replication, and indexing. MongoDB is well-suited for applications with electronic health records due to its ability to handle sparse and evolving data schemas.
Give your microservices a bus ride with MassTransit
Microservices architecture is still a hot topic but many do not do it right. Challenges like cross-service dependencies, orchestration and load balancing require more and more bike-shedding instead of concentrating on the business capabilities. Using asynchronous messages, many of technical issues can be solved. Learn how to use advanced messaging patterns in your services.
Slides are from a workshop given at Progressive .NET Tutorials 2017. Repository is on Github: https://github.com/alexeyzimarev/ProgNet2017.MassTransit
Kuliah5sejarahsenidimalaysiasia1 120926064926-phpapp02
This document discusses Malaysian artists and their works from the early to mid 20th century. It lists the names of various artists such as Yong Mun Sen, Abdullah Arif, Tay Hooi Kiat, Lai Fong Moi, and Chen Wen Hsi. It also lists the titles and dates of their paintings, which often depicted Malaysian village scenes, landscapes, and daily life. Some of the paintings mentioned include "Untitled" by Yong Mun Sen from 1953, "Sea Side Village" by Yong Mun Sen from 1950, and "Fishing Net" by Yong Mun Sen from 1949.
The Six Month Data Center
In this presentation Chris Crosby discusses the elements necessary to deliver a data center in six months
Cloud computing: Legal and ethical issues in library and information services
Provides an overview of what is cloud computing and its role in library networking and automation. It presents the legal and ethical issues facing library and information specialists when using cloud computing including confidentiality, privacy and licensing.
Research, the Cloud, and the IRB
This document discusses the opportunities and challenges of using cloud computing technologies in research. It begins with an overview of cloud computing, including the three layers of cloud services. It then explores how researchers can leverage various cloud applications, platforms, and infrastructures. However, it also notes several new ethical issues that arise regarding subject privacy, data security, ownership and control. The document suggests researchers and IRBs face conceptual gaps and policy vacuums in dealing with these issues as cloud technologies continue to evolve rapidly. It emphasizes the need for education, guidance and careful consideration of terms of service agreements.
IETF 112: Internet centrality and its impact on routing
APNIC Chief Scientist Geoff Huston presents on Internet centrality and its impact on routing at IETF 112, held online from 6 to 12 November 2021.
Single page interface challenges in modern web applications
This document discusses challenges in modern single-page web applications. It covers navigation within a single page interface using the HTML5 History API or libraries like BBQ. Module communication can be done through direct method calls, events with callbacks, or publishing/subscribing. Data management and caching are also discussed, including using a centralized data manager to isolate data access and caching strategies.
Science DMZ as a Service: Creating Science Super- Facilities with GENI
Inder Monga, Chin Guok, Eric Pouyoul: ESnet
Ilya Baldin, Paul Ruth: RENCI
Simon Patton, Craig E. Tull: Berkeley Lab
Research data zone: veilige en geoptimaliseerde netwerkomgeving voor onderzoe...
This document discusses using dedicated servers called data transfer nodes (DTNs) to improve data transfer speeds between research institutions. DTNs are part of a network architecture called a Science DMZ that optimizes high-speed transfers. The document recommends:
- Deploying high-performance DTNs with fast storage in a separate network zone dedicated to research data and services.
- Configuring lossless connections and security policies that don't impede transfers between DTNs and research networks.
- Educating IT departments on maintaining and supporting the infrastructure to improve end-user performance for data-intensive research collaborations.
MongoDB IoT City Tour LONDON: Why your Dad's database won't work for IoT. Joe...
This document discusses why relational databases are not suitable for Internet of Things applications and proposes MongoDB as a better alternative. The key points are:
1) Relational databases make assumptions that do not apply to IoT such as expensive storage, centralized architecture, and static schemas, which IoT applications require distributed, flexible schemas to handle massive amounts of real-time sensor data.
2) MongoDB is a more suitable database as it uses a document model with dynamic schemas, auto-sharding for horizontal scalability, text search, aggregation capabilities, and replication for high availability, which are better suited to the demands of storing, filtering, and distributing millions of events per minute from IoT devices.
3) MongoDB
Cloud and grid computing by Leen Blom, Centric
This document discusses cloud and grid computing. It begins by defining cloud and grid computing and comparing their similarities and differences. Cloud computing focuses on servicing multiple users through virtualization at several levels, while grid computing focuses on coordinating shared resources to solve large problems. Both concepts utilize on-demand self-service, broad network access, resource pooling, and measured service. The document then provides examples of current grid implementations and major cloud service providers. It concludes by discussing privacy and security considerations for private versus public clouds.
Cloud and Grid Computing
This document discusses cloud and grid computing. It begins by defining cloud and grid computing and comparing their similarities and differences. Cloud computing focuses on servicing multiple users through virtualization at several levels, while grid computing focuses on coordinating shared resources to solve large problems. Both utilize on-demand access to pooled computing resources over a network. The document then provides examples of current grid implementations in the Netherlands, Europe, and for scientific research. It also discusses some of the largest cloud companies and considerations around privacy and security in the cloud.
Cloud Computing - Halfway through the revolution
This document discusses the ongoing revolution of cloud computing and its impacts. It notes how cloud computing has made infrastructure resources like storage, bandwidth and compute power effectively unlimited and commoditized through services with simple APIs. It also discusses how cloud computing and software as a service have disrupted industries like print journalism, education and manufacturing. Finally, it raises several key ongoing challenges around privacy, data organization and control in the cloud era.
My PhD thesis defense presentation
PhD thesis defense presentation for my topic "Improving Content Delivery and Service Discovery in Networks" for wireless and other networks. Columbia University, 2016.
Cloud Computing Basics
This document provides an overview of cloud computing, including its definition, history, key properties, usage, and pros and cons. Cloud computing allows large groups of users to access software, platforms, and infrastructure over the internet. It provides users flexibility and scalability compared to traditional personal computing. While security and speed issues remain challenges, cloud computing is expected to continue expanding and becoming more dominant in the future.
Building Robust Production Data Pipelines with Databricks Delta
"Most data practitioners grapple with data quality issues and data pipeline complexities—it's the bane of their existence. Data engineers, in particular, strive to design and deploy robust data pipelines that serve reliable data in a performant manner so that their organizations can make the most of their valuable corporate data assets.
Databricks Delta, part of Databricks Runtime, is a next-generation unified analytics engine built on top of Apache Spark. Built on open standards, Delta employs co-designed compute and storage and is compatible with Spark API’s. It powers high data reliability and query performance to support big data use cases, from batch and streaming ingests, fast interactive queries to machine learning. In this tutorial we will discuss the requirements of modern data pipelines, the challenges data engineers face when it comes to data reliability and performance and how Delta can help. Through presentation, code examples and notebooks, we will explain pipeline challenges and the use of Delta to address them. You will walk away with an understanding of how you can apply this innovation to your data architecture and the benefits you can gain.
This tutorial will be both instructor-led and hands-on interactive session. Instructions in how to get tutorial materials will be covered in class. WHAT
YOU’LL LEARN:
– Understand the key data reliability and performance data pipelines challenges
– How Databricks Delta helps build robust pipelines at scale
– Understand how Delta fits within an Apache Spark™ environment – How to use Delta to realize data reliability improvements
– How to deliver performance gains using Delta
PREREQUISITES:
– A fully-charged laptop (8-16GB memory) with Chrome or Firefox
– Pre-register for Databricks Community Edition"
Speakers: Steven Yu, Burak Yavuz
Building Robust Production Data Pipelines with Databricks Delta
"Most data practitioners grapple with data quality issues and data pipeline complexities—it's the bane of their existence. Data engineers, in particular, strive to design and deploy robust data pipelines that serve reliable data in a performant manner so that their organizations can make the most of their valuable corporate data assets.
Databricks Delta, part of Databricks Runtime, is a next-generation unified analytics engine built on top of Apache Spark. Built on open standards, Delta employs co-designed compute and storage and is compatible with Spark API’s. It powers high data reliability and query performance to support big data use cases, from batch and streaming ingests, fast interactive queries to machine learning. In this tutorial we will discuss the requirements of modern data pipelines, the challenges data engineers face when it comes to data reliability and performance and how Delta can help. Through presentation, code examples and notebooks, we will explain pipeline challenges and the use of Delta to address them. You will walk away with an understanding of how you can apply this innovation to your data architecture and the benefits you can gain.
This tutorial will be both instructor-led and hands-on interactive session. Instructions in how to get tutorial materials will be covered in class.
WHAT YOU’LL LEARN:
– Understand the key data reliability and performance data pipelines challenges
– How Databricks Delta helps build robust pipelines at scale
– Understand how Delta fits within an Apache Spark™ environment
– How to use Delta to realize data reliability improvements
– How to deliver performance gains using Delta
PREREQUISITES:
– A fully-charged laptop (8-16GB memory) with Chrome or Firefox
– Pre-register for Databricks Community Edition
"
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
This talk describes the Fermilab Virtual Facility project, which incorporates bare-metal machines, our OpenNebula-based private cloud, and commercial clouds. After a number of years of research and development we are now doing stable production of data-intensive analysis and simulation for High Energy Experiments on the cloud.
I will pay special attention to the auxiliary services such as code caching, data caching, job submission, autoscaling, and load balancing that we are launching in the cloud. I will also review other significant developments by others in the field with which Fermilab is not directly involved.
Author Biography
Steven Timm has worked on cloud and virtualization issues for the Scientific Computing Division at Fermilab. The new Virtual Facility Project is a way to transparently extend Fermilab’s facility onto commercial and community clouds.
What ya gonna do?
This document discusses how organizations will need to adapt their data infrastructure and software models as Moore's Law ends and data volumes continue growing exponentially. It outlines how traditional clustering, databases, and application servers will no longer scale to meet these new demands. New distributed, dynamically adaptive approaches like NoSQL data stores, functional programming, and eventual consistency models are needed. Hardware is also evolving to support exabyte storage, tens of thousands of CPU cores, and networked memory, requiring new software architectures.
Peer-to-peer Systems.ppt
This document discusses peer-to-peer systems and their advantages over traditional client-server models. It describes how peer-to-peer networks distribute resources and control among nodes that are equals rather than centralized on servers. A key feature is decentralization, which provides redundancy and fault tolerance. Various peer-to-peer network types and applications are also outlined.
Why cloud native matters
This document discusses why cloud native computing matters and provides three case studies. It begins by explaining how infrastructure is changing with the rise of containerization solutions in the 2010s. It then discusses why people use cloud native technologies because they work well and have a great community behind them. Three case studies are presented where companies moved workloads to cloud native solutions on Kubernetes to increase agility, reduce costs, and improve developer productivity. The document concludes by noting that while technology challenges can be solved, changing organizational culture can be the hardest challenge to address.
Cloud technologies
This document discusses various topics related to cloud technologies. It begins with innovations enabled by cloud computing, such as artificial intelligence, smart cities, driverless cars, and the internet of things. It then defines cloud computing and describes its key characteristics, service models (infrastructure as a service, platform as a service, software as a service), and deployment models (public, private, hybrid). The document outlines advantages and disadvantages of cloud computing, as well as trends like edge computing and opportunities for careers as cloud architects. It also touches on cloud forensics, statistics, and some interesting facts about cloud data storage and usage.
Big data and cloud computing 9 sep-2017
It describe cloud infrastructure required for big data. It discusses the object storage and virtualization required for big data. Ceph is discussed as example.
Evolution of network - computer networks
This presentation clearly explains how the network evolved till now.
this will be helpful to explore the internet world. How do we connect over the internet?
what's the beginning of the network.
More about OSI Models, TCP models protocols, and frame relay concepts.
if you have any queries/suggestions please visit: https://sabarish.techcodes.in/
Just add water: The Resource Issues of Water Based Cooling
The use of water-based cooling methods is becoming an increasingly important decision for new data centers and their operators. This presentation discusses the issues associated with water based cooling and other cooling alternatives
The Stratification of Data Center Responsibilities
New end user standards of satisfaction are forcing the traditional data center network structure to change. This presentation discusses the new multi-tiered structure that will define data center networks in the coming years.
More Related Content
Similar to Twin sons of different mothers latency and bandwidth 2
Research, the Cloud, and the IRB
This document discusses the opportunities and challenges of using cloud computing technologies in research. It begins with an overview of cloud computing, including the three layers of cloud services. It then explores how researchers can leverage various cloud applications, platforms, and infrastructures. However, it also notes several new ethical issues that arise regarding subject privacy, data security, ownership and control. The document suggests researchers and IRBs face conceptual gaps and policy vacuums in dealing with these issues as cloud technologies continue to evolve rapidly. It emphasizes the need for education, guidance and careful consideration of terms of service agreements.
IETF 112: Internet centrality and its impact on routing
APNIC Chief Scientist Geoff Huston presents on Internet centrality and its impact on routing at IETF 112, held online from 6 to 12 November 2021.
Single page interface challenges in modern web applications
This document discusses challenges in modern single-page web applications. It covers navigation within a single page interface using the HTML5 History API or libraries like BBQ. Module communication can be done through direct method calls, events with callbacks, or publishing/subscribing. Data management and caching are also discussed, including using a centralized data manager to isolate data access and caching strategies.
Science DMZ as a Service: Creating Science Super- Facilities with GENI
Inder Monga, Chin Guok, Eric Pouyoul: ESnet
Ilya Baldin, Paul Ruth: RENCI
Simon Patton, Craig E. Tull: Berkeley Lab
Research data zone: veilige en geoptimaliseerde netwerkomgeving voor onderzoe...
This document discusses using dedicated servers called data transfer nodes (DTNs) to improve data transfer speeds between research institutions. DTNs are part of a network architecture called a Science DMZ that optimizes high-speed transfers. The document recommends:
- Deploying high-performance DTNs with fast storage in a separate network zone dedicated to research data and services.
- Configuring lossless connections and security policies that don't impede transfers between DTNs and research networks.
- Educating IT departments on maintaining and supporting the infrastructure to improve end-user performance for data-intensive research collaborations.
MongoDB IoT City Tour LONDON: Why your Dad's database won't work for IoT. Joe...
This document discusses why relational databases are not suitable for Internet of Things applications and proposes MongoDB as a better alternative. The key points are:
1) Relational databases make assumptions that do not apply to IoT such as expensive storage, centralized architecture, and static schemas, which IoT applications require distributed, flexible schemas to handle massive amounts of real-time sensor data.
2) MongoDB is a more suitable database as it uses a document model with dynamic schemas, auto-sharding for horizontal scalability, text search, aggregation capabilities, and replication for high availability, which are better suited to the demands of storing, filtering, and distributing millions of events per minute from IoT devices.
3) MongoDB
Cloud and grid computing by Leen Blom, Centric
This document discusses cloud and grid computing. It begins by defining cloud and grid computing and comparing their similarities and differences. Cloud computing focuses on servicing multiple users through virtualization at several levels, while grid computing focuses on coordinating shared resources to solve large problems. Both concepts utilize on-demand self-service, broad network access, resource pooling, and measured service. The document then provides examples of current grid implementations and major cloud service providers. It concludes by discussing privacy and security considerations for private versus public clouds.
Cloud and Grid Computing
This document discusses cloud and grid computing. It begins by defining cloud and grid computing and comparing their similarities and differences. Cloud computing focuses on servicing multiple users through virtualization at several levels, while grid computing focuses on coordinating shared resources to solve large problems. Both utilize on-demand access to pooled computing resources over a network. The document then provides examples of current grid implementations in the Netherlands, Europe, and for scientific research. It also discusses some of the largest cloud companies and considerations around privacy and security in the cloud.
Cloud Computing - Halfway through the revolution
This document discusses the ongoing revolution of cloud computing and its impacts. It notes how cloud computing has made infrastructure resources like storage, bandwidth and compute power effectively unlimited and commoditized through services with simple APIs. It also discusses how cloud computing and software as a service have disrupted industries like print journalism, education and manufacturing. Finally, it raises several key ongoing challenges around privacy, data organization and control in the cloud era.
My PhD thesis defense presentation
PhD thesis defense presentation for my topic "Improving Content Delivery and Service Discovery in Networks" for wireless and other networks. Columbia University, 2016.
Cloud Computing Basics
This document provides an overview of cloud computing, including its definition, history, key properties, usage, and pros and cons. Cloud computing allows large groups of users to access software, platforms, and infrastructure over the internet. It provides users flexibility and scalability compared to traditional personal computing. While security and speed issues remain challenges, cloud computing is expected to continue expanding and becoming more dominant in the future.
Building Robust Production Data Pipelines with Databricks Delta
"Most data practitioners grapple with data quality issues and data pipeline complexities—it's the bane of their existence. Data engineers, in particular, strive to design and deploy robust data pipelines that serve reliable data in a performant manner so that their organizations can make the most of their valuable corporate data assets.
Databricks Delta, part of Databricks Runtime, is a next-generation unified analytics engine built on top of Apache Spark. Built on open standards, Delta employs co-designed compute and storage and is compatible with Spark API’s. It powers high data reliability and query performance to support big data use cases, from batch and streaming ingests, fast interactive queries to machine learning. In this tutorial we will discuss the requirements of modern data pipelines, the challenges data engineers face when it comes to data reliability and performance and how Delta can help. Through presentation, code examples and notebooks, we will explain pipeline challenges and the use of Delta to address them. You will walk away with an understanding of how you can apply this innovation to your data architecture and the benefits you can gain.
This tutorial will be both instructor-led and hands-on interactive session. Instructions in how to get tutorial materials will be covered in class. WHAT
YOU’LL LEARN:
– Understand the key data reliability and performance data pipelines challenges
– How Databricks Delta helps build robust pipelines at scale
– Understand how Delta fits within an Apache Spark™ environment – How to use Delta to realize data reliability improvements
– How to deliver performance gains using Delta
PREREQUISITES:
– A fully-charged laptop (8-16GB memory) with Chrome or Firefox
– Pre-register for Databricks Community Edition"
Speakers: Steven Yu, Burak Yavuz
Building Robust Production Data Pipelines with Databricks Delta
"Most data practitioners grapple with data quality issues and data pipeline complexities—it's the bane of their existence. Data engineers, in particular, strive to design and deploy robust data pipelines that serve reliable data in a performant manner so that their organizations can make the most of their valuable corporate data assets.
Databricks Delta, part of Databricks Runtime, is a next-generation unified analytics engine built on top of Apache Spark. Built on open standards, Delta employs co-designed compute and storage and is compatible with Spark API’s. It powers high data reliability and query performance to support big data use cases, from batch and streaming ingests, fast interactive queries to machine learning. In this tutorial we will discuss the requirements of modern data pipelines, the challenges data engineers face when it comes to data reliability and performance and how Delta can help. Through presentation, code examples and notebooks, we will explain pipeline challenges and the use of Delta to address them. You will walk away with an understanding of how you can apply this innovation to your data architecture and the benefits you can gain.
This tutorial will be both instructor-led and hands-on interactive session. Instructions in how to get tutorial materials will be covered in class.
WHAT YOU’LL LEARN:
– Understand the key data reliability and performance data pipelines challenges
– How Databricks Delta helps build robust pipelines at scale
– Understand how Delta fits within an Apache Spark™ environment
– How to use Delta to realize data reliability improvements
– How to deliver performance gains using Delta
PREREQUISITES:
– A fully-charged laptop (8-16GB memory) with Chrome or Firefox
– Pre-register for Databricks Community Edition
"
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
This talk describes the Fermilab Virtual Facility project, which incorporates bare-metal machines, our OpenNebula-based private cloud, and commercial clouds. After a number of years of research and development we are now doing stable production of data-intensive analysis and simulation for High Energy Experiments on the cloud.
I will pay special attention to the auxiliary services such as code caching, data caching, job submission, autoscaling, and load balancing that we are launching in the cloud. I will also review other significant developments by others in the field with which Fermilab is not directly involved.
Author Biography
Steven Timm has worked on cloud and virtualization issues for the Scientific Computing Division at Fermilab. The new Virtual Facility Project is a way to transparently extend Fermilab’s facility onto commercial and community clouds.
What ya gonna do?
This document discusses how organizations will need to adapt their data infrastructure and software models as Moore's Law ends and data volumes continue growing exponentially. It outlines how traditional clustering, databases, and application servers will no longer scale to meet these new demands. New distributed, dynamically adaptive approaches like NoSQL data stores, functional programming, and eventual consistency models are needed. Hardware is also evolving to support exabyte storage, tens of thousands of CPU cores, and networked memory, requiring new software architectures.
Peer-to-peer Systems.ppt
This document discusses peer-to-peer systems and their advantages over traditional client-server models. It describes how peer-to-peer networks distribute resources and control among nodes that are equals rather than centralized on servers. A key feature is decentralization, which provides redundancy and fault tolerance. Various peer-to-peer network types and applications are also outlined.
Why cloud native matters
This document discusses why cloud native computing matters and provides three case studies. It begins by explaining how infrastructure is changing with the rise of containerization solutions in the 2010s. It then discusses why people use cloud native technologies because they work well and have a great community behind them. Three case studies are presented where companies moved workloads to cloud native solutions on Kubernetes to increase agility, reduce costs, and improve developer productivity. The document concludes by noting that while technology challenges can be solved, changing organizational culture can be the hardest challenge to address.
Cloud technologies
This document discusses various topics related to cloud technologies. It begins with innovations enabled by cloud computing, such as artificial intelligence, smart cities, driverless cars, and the internet of things. It then defines cloud computing and describes its key characteristics, service models (infrastructure as a service, platform as a service, software as a service), and deployment models (public, private, hybrid). The document outlines advantages and disadvantages of cloud computing, as well as trends like edge computing and opportunities for careers as cloud architects. It also touches on cloud forensics, statistics, and some interesting facts about cloud data storage and usage.
Big data and cloud computing 9 sep-2017
It describe cloud infrastructure required for big data. It discusses the object storage and virtualization required for big data. Ceph is discussed as example.
Evolution of network - computer networks
This presentation clearly explains how the network evolved till now.
this will be helpful to explore the internet world. How do we connect over the internet?
what's the beginning of the network.
More about OSI Models, TCP models protocols, and frame relay concepts.
if you have any queries/suggestions please visit: https://sabarish.techcodes.in/
Similar to Twin sons of different mothers latency and bandwidth 2 (20)
IETF 112: Internet centrality and its impact on routing
IETF 112: Internet centrality and its impact on routing
Single page interface challenges in modern web applications
Single page interface challenges in modern web applications
Science DMZ as a Service: Creating Science Super- Facilities with GENI
Science DMZ as a Service: Creating Science Super- Facilities with GENI
Research data zone: veilige en geoptimaliseerde netwerkomgeving voor onderzoe...
Research data zone: veilige en geoptimaliseerde netwerkomgeving voor onderzoe...
MongoDB IoT City Tour LONDON: Why your Dad's database won't work for IoT. Joe...
MongoDB IoT City Tour LONDON: Why your Dad's database won't work for IoT. Joe...
Building Robust Production Data Pipelines with Databricks Delta
Building Robust Production Data Pipelines with Databricks Delta
Building Robust Production Data Pipelines with Databricks Delta
Building Robust Production Data Pipelines with Databricks Delta
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
More from sflaig
Just add water: The Resource Issues of Water Based Cooling
The use of water-based cooling methods is becoming an increasingly important decision for new data centers and their operators. This presentation discusses the issues associated with water based cooling and other cooling alternatives
The Stratification of Data Center Responsibilities
New end user standards of satisfaction are forcing the traditional data center network structure to change. This presentation discusses the new multi-tiered structure that will define data center networks in the coming years.
Artificial Intelligence and the Data Center
Artificial Intelligence applications are proliferating within all areas of society. This presentation explores the potential AI applications within the data center and how they will impact applications and operations in the future.
Wearables in data centers
Wearable devices are revolutionizing data center operations. Information that traditionally was included in multiple volumes can now be made available at a technician's fingertips. This presentation provides a case study as to how one company is improving its operational performance thru wearable technology
Data Centers and IoT
The high volume data processing demands of IoT exceed the capabilities of the majority of today's data centers. This presentation examines the issues that must be addressed to ensure a successful IoT implementation.
The Impact of IoT on Data Centers
The document discusses how data centers and networks need to evolve to address the convergence of large video packets and billions of small IoT packets. A stratified structure with three levels - centralized hubs, regional edge data centers, and micro data centers located close to end users - is proposed to better support this new architecture. This hierarchical structure would improve processing capabilities, distribute infrastructure throughout locations based on customer demand, and maximize uptime at each mission critical level. Planning also needs to shift from tactical to more strategic, long-term thinking to accommodate evolving technical, network, application and user requirements over the next 5-10 years.
Creative destruction
In this presentation Chris Crosby discusses how the industry is evolving based on new technological innovations
Data center commissioning 101
In this presentation Chris Crosby provides an overview of the data center commissioning process and its importance for all data center end users
Codes and standards
In this presentation Chris Crosby presents how codes and standards adherence is essential to prevent serious data center issues such as arc flash
Unintended consequences
In this presentation Chris Crosby explains why some data center "enhancements" have some unpleasant side effects
Buyer beware
In this presentation Chris Crosby discusses the the issues that end users need to be aware of before they choose their next data center provider
Waste Not Want Not
Chris Crosby's 2013 Uptime Symposium presentation on the inherent inefficiencies (capital, land, natural resources and more) plaguing many of today's data center designs.
More from sflaig (12)
Just add water: The Resource Issues of Water Based Cooling
Just add water: The Resource Issues of Water Based Cooling
The Stratification of Data Center Responsibilities
The Stratification of Data Center Responsibilities
Recently uploaded
假文凭国外(Adelaide毕业证)澳大利亚国立大学毕业证成绩单办理
购买澳大利亚国立大学毕业证>【微信176555708】办理澳大利亚国立大学毕业证成绩单【微信176555708】Adelaide毕业证成绩单Adelaide学历证书Adelaide文凭【Adelaide毕业套号文凭网认证澳大利亚国立大学毕业证成绩单】【哪里买澳大利亚国立大学毕业证文凭Adelaide成绩学校快递邮寄信封】【开版澳大利亚国立大学文凭】Adelaide留信认证本科硕士学历认证(诚招代理)微信：176555708办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理澳大利亚国立大学澳大利亚国立大学毕业证成绩单流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:176555708）欢迎咨询！
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
挂科购买☀【悉尼大学毕业证购买】【微信176555708】【USYD毕业证模板办理】加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围：
★、全套服务：毕业证、成绩单、化学专业毕业证书伪造【悉尼大学大学毕业证】微信176555708【USYD学位证书购买】◆◆◆◆◆ — — — 归国服务中心 — — -◆◆◆◆◆
【主营项目】
一.毕业证、成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
国外毕业证、学位证、成绩单办理流程：
1、客户提供办理信息：姓名、生日、专业、学位、毕业时间等（如信息不确定可以咨询顾问：【微信176555708】我们有专业老师帮你查询）；
2、开始安排制作毕业证、成绩单电子图；
3、毕业证、成绩单电子版做好以后发送给您确认；
4、毕业证、成绩单电子版您确认信息无误之后安排制作成品；
5、成品做好拍照或者视频给您确认；
6、快递给客户（国内顺丰，国外DHL、UPS等快读邮寄）。
专业服务，请勿犹豫联系我！本公司是留学创业和海归创业者们的桥梁。一次办理，终生受用，一步到位，高效服务。详情请在线咨询办理,欢迎有诚意办理的客户咨询!洽谈。
◆招聘代理：本公司诚聘英国、加拿大、澳洲、新西兰、加拿大、法国、德国、新加坡各地代理人员，如果你有业余时间，有兴趣就请联系我们咨询【微信176555708】
没文凭怎么找工作。让您回国发展信心十足！
★、真实教育部学历学位认证；（一对一专业服务，可全程监控跟踪进度）
★、真实使馆认证，可以通过大使馆查询确认；（即教育部留服认证，不成功不收费）
★、毕业证、成绩单等材料，从防伪到印刷、水印到钢印烫金，高精仿度都是跟学校原版100%相同的；（敬请放心使用）
★、可以提供钢印、水印、烫金、激光防伪、凹凸版、最新版的毕业证、百分之百让您绝对满意、
★、印刷，DHL快递毕业证、成绩单7个工作日，真实大使馆教育部认证1个月。为了达到高水准高效率。
Understanding User Behavior with Google Analytics.pdf
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
学位认证网(DU毕业证)迪肯大学毕业证成绩单一比一原版制作
24小时办理【微信176555708】【毕业证明信-推荐信做学费单】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！
degree，Transcripts（一对一服务包括毕业院长签字,专业课程,学位类型,专业或教育领域,以及毕业日期.不要忽视这些细节.这两份文件同样重要!毕业证成绩单文凭留信网学历认证！）如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方迪肯大学毕业证+微信176555708；
2、面对父母的压力，希望尽快拿到；
3、不清楚流程以及材料该如何准备；
4、回国时间很长，忘记办理毕业证丢失 学历认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书验证；
5、回国马上就要找工作，办给用人单位看；
6、企事业单位必须要求办理学历证书 英文《迪肯大学毕业证》微信176555708《DU学位证书购买》
本科毕业证书扫描件的；
微信176555708面向迪肯大学毕业留学生提供以下服务:
【★迪肯大学毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】
【★大学学历 硕士学位《迪肯大学毕业证》微信176555708《DU学位证书购买》
硕士毕业证】
【★毕业证书范本】
【★真实留信认证，留信网入库存档，可查】
主营项目：
a.办理海外毕业证认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书英文版，改成绩单，Offer、在读证明、学生卡、信封、证明信等全套材料，从防伪到印刷，从水印到钢印烫金，高精仿度跟学校原版100%相同.
b.真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认.
c.真实教育部国外学历学位认证，教育部存档，教育部留服网站100%可查.
d.留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查.
e.招聘中介代理：本公司诚聘各地代理人员以及留学生，如果你有业余时间，有兴趣就请联系我们，我们会给到您的回报！期待您的加盟：一朝办理，终身受益（本信息长期有效）互惠互利，为广大海内外学子及有需要的人士在事业上跨过这道门槛！
【业务选择办理准则】
1.如果您只是为了的应付父母亲戚朋友看下迪肯大学毕业证，那么办理一份学位即可
2.如果您是为了回国找工作，只是进私营企业或者外企，那么办理一份多大学历认证有时间限制吗《迪肯大学毕业证》微信176555708《DU学位证书购买》
毕业证丢失补办即可，因为私营企业或者外企是不能查询学位真假的！
3.如果您是要进国企银行事业单位考公务员等就需办理真实学历认证！
诚招代理：本公司诚聘当地合作代理人员，如果你有业余时间，有兴趣就请联系我们。
Should Repositories Participate in the Fediverse?
Presentation for OR2024 making the case that repositories could play a part in the "fediverse" of distributed social applications
制作毕业证书(ANU毕业证)莫纳什大学毕业证成绩单官方原版办理
在线办理莫纳什大学毕业证【微信：176555708】(ANU毕业证书)成绩单学位证【微信：176555708】，留信认证（真实可查，永久存档）纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。#一整套莫纳什大学文凭证件办理#—包含莫纳什大学莫纳什大学毕业证文凭证书学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：莫纳什大学莫纳什大学毕业证文凭证书毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理莫纳什大学莫纳什大学毕业证文凭证书信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信176555708
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
退学买【纽约大学毕业证认证】【办证微信176555708】【纽约大学文凭毕业证制作】【NYU学历学位证书哪里买】办理纽约大学学位证书扫描件、办理纽约大学雅思证书！
国际留学归国服务中心【如何办纽约大学毕业证认证】【NYU学位证书扫描件哪里买】实体公司，注册经营，行业标杆，精益求精！（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
国外证书(Lincoln毕业证)新西兰林肯大学毕业证成绩单不能毕业办理
退学办理新西兰林肯大学毕业证【微信176555708】学历认证怎么做：原版仿制新西兰林肯大学电子版成绩单毕业证认证【新西兰林肯大学毕业证成绩单】、新西兰林肯大学文凭证书成绩单复刻offer录取通知书、购买Lincoln圣力嘉学院本科毕业证、【新西兰林肯大学毕业证办理Lincoln毕业证书哪里买】、新西兰林肯大学 Offer在线办理Lincoln Offer新西兰林肯大学Bachloer Degree。1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信176555708我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：新西兰林肯大学新西兰林肯大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信176555708）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。
Discover the benefits of outsourcing SEO to India
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
Ready to Unlock the Power of Blockchain!
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
一比一原版制作UST毕业证【微信176555708】圣托马斯大学毕业证书原版↑制作圣托马斯大学学历认证文凭办理圣托马斯大学留信网认证,留学回国办理毕业证成绩单文凭学历认证【微信176555708】专业为海外学子办理毕业证成绩单、文凭制作，学历仿制，回国人员证明、做文凭，研究生、本科、硕士学历认证、留信认证、结业证、学位证书样本、美国教育部认证百分百真实存档可查】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
重新申请毕业证书(RMIT毕业证)皇家墨尔本理工大学毕业证成绩单精仿办理
不能毕业办理【RMIT毕业证【微信176555708】皇家墨尔本理工大学文凭学历】【微信176555708】【皇家墨尔本理工大学文凭学历证书】【皇家墨尔本理工大学毕业证书与成绩单样本图片】毕业证书补办 Fake Degree做学费单【毕业证明信-推荐信】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！全套服务：皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单真实回国人员证明 #真实教育部认证。让您回国发展信心十足#铸就十年品质！信誉！实体公司！可以视频看办公环境样板如需办理真实可查可以先到公司面谈勿轻信小中介黑作坊！
可以提供皇家墨尔本理工大学钢印 #水印 #烫金 #激光防伪 #凹凸版 #最新版的毕业证 #百分之百让您绝对满意
印刷DHL快递毕业证 #成绩单7个工作日真实大使馆教育部认证1个月。为了达到高水准高效率
请您先以qq或微信的方式对我们的服务进行了解后如果有皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单帮助再进行电话咨询。
国外毕业证学位证成绩单如何办理：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作皇家墨尔本理工大学毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdf
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
Search Result Showing My Post is Now Buried
Search results burying my post that used to rank before Google's March 2024 algorithm update.
可查真实(Monash毕业证)西澳大学毕业证成绩单退学买
办理假西澳大学毕业证【微信176555708】购买,办理Monash成绩单,Monash毕业证制作【微信176555708】【西澳大学毕业证】，Monash毕业证购买，Monash学位证，西澳大学学位证【Monash成绩单制作】【Monash毕业证文凭 Monash本科 澳洲学历认证原版制作【diploma certificate degree transcript 】【留信网认证，本科，硕士，海归，博士，排名，成绩单】代办国外（海外）澳洲、韩国、加拿大、新西兰等各大学毕业证。 ?我们对海外大学及学院的毕业证成绩单所使用的材料，尺寸大小，防伪结构（包括：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。 文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）都有原版本文凭对照。#一整套西澳大学文凭证件办理#—包含西澳大学西澳大学毕业证成绩单学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：西澳大学西澳大学毕业证成绩单毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理西澳大学西澳大学毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信176555708
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
官方原版办理宾夕法尼亚大学毕业证【微信176555708】学历认证怎么做：原版仿制宾夕法尼亚大学电子版成绩单毕业证认证【宾夕法尼亚大学毕业证成绩单】、宾夕法尼亚大学文凭证书成绩单复刻offer录取通知书、购买UPenn圣力嘉学院本科毕业证、【宾夕法尼亚大学毕业证办理UPenn毕业证书哪里买】、宾夕法尼亚大学 Offer在线办理UPenn Offer宾夕法尼亚大学Bachloer Degree。（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
Recently uploaded (20)
Understanding User Behavior with Google Analytics.pdf
Understanding User Behavior with Google Analytics.pdf
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdf
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdf
Twin sons of different mothers latency and bandwidth 2
- 1. Twin Sons of Different Mothers: Latency and Bandwidth Chris Crosby, CEO, Compass Datacenters
- 2. Related, But Not the Same
- 3. The Impact of Latency • Study by Akamai • 1 second delay in page load speed • 16% drop in customer satisfaction • Rich packet applications are more demanding • Ex: Netflix • IoT • “Instantaneous” packet processing • Critical for many applications • Ex: Real time inventory • Data reads and writes • No such thing as a multi-availability zone public cloud database 3
- 4. The Latency Factors 4 • Distance and contention
- 5. Latency: Factors • Operational requirements • Ex: Hypervisors add overhead to transmission speed • Contention for bandwidth (Public clouds) 5
- 6. Solving the Latency Issue • For now it’s geographical • Moving data as close to the end user as possible • Edge data centers • Emerging • Micro datacenters • Cisco FOG architecture • Any device can be a data collection point • Must have computing, storage and network connectivity 6
- 7. Insufficient Bandwidth • IDC • “50% of existing networks will be bandwidth constrained as a result of IoT” 7
- 8. The Traditional Network • Access via public means • Internet • Too many “chokepoints” 8 Source: Forrester
- 9. An Alternative Approach • Presented to a Compass customer • Direct Peering • Direct cloud connectivity • Eliminate public internet 9 Graphics courtesy of Equinix Internet Campus DC1 DC2 AWSEQIX DC Cloud Exchang e Internet Exchang e I2 Provider AzureI2
- 10. Eliminate the Internal Bottlenecks • Network only as fast as slowest component • Backplane contention • Considerations: • Top of rack switching • Faster switches • 10, 25, 40, 50, 100GB 10 Graphic courtesy of Mellanix
- 11. Summary 11 • Speed of delivery will only continue to grow • Lower latency • Higher bandwidth speeds • The important question: • Can the network support what you want to do? • Must eliminate contention/chokepoints • Internal and external • Failure to do so will result in: • Ineffective operation • Customer dissatisfaction • Must find partners agile enough to quickly adapt