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DNS in the Cloud
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Habeeb Rahman
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presented @ AWS User Group Bangalore Meetup (21-12-2013)
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Presented during Jan 2016 edition of AWS User Group Bangalore Meetup.
Dns on Cloud [route53]
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Both Apache Pulsar and Apache Flink share a similar view on how the data and the computation level of an application can be “streaming-first” with batch as a special case streaming. With Apache Pulsar’s Segmented-Stream storage and Apache Flink’s steps to unify batch and stream processing workloads under one framework, there are numerous ways of integrating the two technologies to provide elastic data processing at massive scale, and build a real streaming warehouse. In this talk, Sijie Guo from the Apache Pulsar community will share the latest integrations between Apache Pulsar and Apache Flink. He will explain how Apache Flink can integrate and leverage Pulsar’s built-in efficient schemas to allow users of Flink SQL query Pulsar streams in realtime.
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In this presentation, Yijie Shen presents how to build a unified platform for real-time storage and processing using Apache Pulsar and Apache Spark. He demonstrates the solution using Apache Pulsar as the Stream Storage and Apache Spark for Processing, and deep-dives into the implementation details of the integration between Apache Pulsar and Apache Spark.
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Presented during Jan 2016 edition of AWS User Group Bangalore Meetup.
Dns on Cloud [route53]
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Habeeb Rahman
Both Apache Pulsar and Apache Flink share a similar view on how the data and the computation level of an application can be “streaming-first” with batch as a special case streaming. With Apache Pulsar’s Segmented-Stream storage and Apache Flink’s steps to unify batch and stream processing workloads under one framework, there are numerous ways of integrating the two technologies to provide elastic data processing at massive scale, and build a real streaming warehouse. In this talk, Sijie Guo from the Apache Pulsar community will share the latest integrations between Apache Pulsar and Apache Flink. He will explain how Apache Flink can integrate and leverage Pulsar’s built-in efficient schemas to allow users of Flink SQL query Pulsar streams in realtime.
Query Pulsar Streams using Apache Flink
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HashiCorp at Just Eat
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In this presentation, Yijie Shen presents how to build a unified platform for real-time storage and processing using Apache Pulsar and Apache Spark. He demonstrates the solution using Apache Pulsar as the Stream Storage and Apache Spark for Processing, and deep-dives into the implementation details of the integration between Apache Pulsar and Apache Spark.
A Unified Platform for Real-time Storage and Processing
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We are very glad to see the Apache Pulsar community has successfully released the wonderful 2.4.0 release after a few months of accumulated hard works. It is a great milestone for this fast-growing project and the whole Pulsar community. Sijie shares a selection of some of the most interesting and important features the community added to this new release.
What's new in apache pulsar 2.4.0
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In Apache Pulsar Meetup, Jia Zhai from StreamNative presents KoP (Kafka-on-Pulsar) which bring native Kafka protocol support on Pulsar broker. He gave a demo about how to use Kafka clients and Pulsar clients can work seamlessly on same data, and how Kafka Connectors can work on a Pulsar cluster.
Kafka on Pulsar
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StreamNative
More and more applications are using Flink for low-latency data processing. Flink unifies batch and stream processing using one computation engine. However in reality, in order to really unify batch and stream processing, it requires a data system offers one unified data representation for both batch and streaming data. Nowadays, streaming data is typically stored in a log storage or messaging system, while batch data is stored in distributed filesystem and object stores. That means that data scientists still need write two different computing jobs to access same data stored in different data systems. Apache Pulsar is the next generation messaging and streaming data system. It was originally built at Yahoo, and has graduated from Apache Incubator and become a Top-Level-Project. Pulsar separates messaging serving and data storage into two layers. Such layered architecture provides high throughput and low-latency while ensuring high availability and scalability. Pulsar’s segment centric storage design along with layered architecture makes Pulsar a perfect unbounded streaming data system, which can well fit into Flink’s computation model. In this talk, Sijie Guo from Apache Pulsar PMC, will introduce Pulsar and its layered architecture and segment-centric storage, detailing how this architecture can well integrate with Flink to provide elastic unified batch and stream processing.
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The event, held on 27th April 2019, was part of the Global Azure Bootcamp and covered Microsoft's Cosmos DB, more specifically: - Introduction to Cosmos DB, its features, internals, resource models, and request units. - DEMO: Create an SQL API. Download sample .NET app. Simple queries. - Covered Change Feed and showcased various use case scenarios. - Detailed Global Distribution and Consistency Models implications. - DEMO: Mongo - Lift and shift. Run simple .NET code against a MongoDB (in docker container) and cosmos. - Introduction to Tinkerpop graphs - DEMO: Graphs API. Download sample .NET app. Simple queries. https://techspark.mt/global-azure-bootcamp-27th-april-2019/
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You will learn how Orange Financial combats financial fraud over 50M transactions a day using Apache Pulsar. The presentation is shared at Strata Data Conference at New York, US, 2019/09.
How Orange Financial combat financial frauds over 50M transactions a day usin...
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The highest message delivery guarantee that Apache Pulsar provides is 'exactly-once', producing at a single partition via Idempotent Producer. Users are guaranteed that every message produced to a single partition via an Idempotent Producer will be persisted exactly once, without data loss. However, there is no 'atomicity' when a producer attempts to produce messages to multiple partitions. From the consumer side, acknowledgment is a best-effort operation, which results in message redelivery, hence consumer will receive duplicate messages. Pulsar only guarantees 'at-least-once' consumption for consumers. It creates inconvenience and brings in complexity when you use Pulsar to build mission-critical services (such as billing services). We introduce Transaction support in Pulsar 2.8.0 release, to simplify the process of building reliable and fault resilient services using Apache Pulsar and Pulsar Functions. It provides the capability to achieve end-to-end exactly-once for streaming jobs in other stream processing engines. This presentation deep dives into the details of Pulsar transaction and how Pulsar transaction is applied to Pulsar Functions and other processing engines to achieve transactional event streaming. We will cover how Pulsar transaction works and how Pulsar Functions offers transaction support using Pulsar transaction.
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Both Apache Pulsar and Apache Flink share a similar view on how the data and the computation level of an application can be “streaming-first” with batch as a special case streaming. With Apache Pulsar’s Segmented-Stream storage and Apache Flink’s steps to unify batch and stream processing workloads under one framework, there are numerous ways of integrating the two technologies to provide elastic data processing at massive scale, and build a real streaming warehouse. In this talk, Sijie Guo from Apache Pulsar community will given an overview of Apache Pulsar and how it provides the unified data view to fully leverage Apache Flink unified computation runtime for elastic data processing. He will share the latest integrations between Apache Pulsar and Apache Flink, especially around effectively-once processing and schema integration.
When apache pulsar meets apache flink
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In Apache Pulsar Beijing Meetup, Yijieshen gave a presentation of the current state of Apache Pulsar integrating with Big Data Ecosystem. He explains why and how Pulsar fits into current big data computing and query engines, and how Pulsar integrates with Spark, Flink and Presto for unified data processing system.
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At Librato, a Solarwinds company, we run hundreds of Cassandra instances across multiple rings and use it as our primary data store. In the past year, we embarked on a process to upgrade our fleet of Cassandra Amazon EC2 instances from instance store to instances using Amazon EBS and attached elastic network interfaces (ENIs). We find running Cassandra on EBS gives us the flexibility to choose the best instances for the best performance of our workload while saving us significant costs on infrastructure. In this session, we discuss how Librato operates Cassandra on EBS. Topics include how we chose the right instance for our workload, use detached EBS volumes and ENI mobility to reduce MTTR, use mixed EBS storage types for the best cost/performance tradeoff, debug performance issues, and continuously monitor Cassandra to get the most from AWS. We also look at performance tradeoffs made in the implementation of storage engines of large data systems like Cassandra.
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We are very glad to see the Apache Pulsar community has successfully released the wonderful 2.4.0 release after a few months of accumulated hard works. It is a great milestone for this fast-growing project and the whole Pulsar community. Sijie shares a selection of some of the most interesting and important features the community added to this new release.
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StreamNative
In Apache Pulsar Meetup, Jia Zhai from StreamNative presents KoP (Kafka-on-Pulsar) which bring native Kafka protocol support on Pulsar broker. He gave a demo about how to use Kafka clients and Pulsar clients can work seamlessly on same data, and how Kafka Connectors can work on a Pulsar cluster.
Kafka on Pulsar
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StreamNative
More and more applications are using Flink for low-latency data processing. Flink unifies batch and stream processing using one computation engine. However in reality, in order to really unify batch and stream processing, it requires a data system offers one unified data representation for both batch and streaming data. Nowadays, streaming data is typically stored in a log storage or messaging system, while batch data is stored in distributed filesystem and object stores. That means that data scientists still need write two different computing jobs to access same data stored in different data systems. Apache Pulsar is the next generation messaging and streaming data system. It was originally built at Yahoo, and has graduated from Apache Incubator and become a Top-Level-Project. Pulsar separates messaging serving and data storage into two layers. Such layered architecture provides high throughput and low-latency while ensuring high availability and scalability. Pulsar’s segment centric storage design along with layered architecture makes Pulsar a perfect unbounded streaming data system, which can well fit into Flink’s computation model. In this talk, Sijie Guo from Apache Pulsar PMC, will introduce Pulsar and its layered architecture and segment-centric storage, detailing how this architecture can well integrate with Flink to provide elastic unified batch and stream processing.
Elastic Data Processing with Apache Flink and Apache Pulsar
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StreamNative
The event, held on 27th April 2019, was part of the Global Azure Bootcamp and covered Microsoft's Cosmos DB, more specifically: - Introduction to Cosmos DB, its features, internals, resource models, and request units. - DEMO: Create an SQL API. Download sample .NET app. Simple queries. - Covered Change Feed and showcased various use case scenarios. - Detailed Global Distribution and Consistency Models implications. - DEMO: Mongo - Lift and shift. Run simple .NET code against a MongoDB (in docker container) and cosmos. - Introduction to Tinkerpop graphs - DEMO: Graphs API. Download sample .NET app. Simple queries. https://techspark.mt/global-azure-bootcamp-27th-april-2019/
Tech-Spark: Exploring the Cosmos DB
Tech-Spark: Exploring the Cosmos DB
Ralph Attard
Flume and hdfs performance insights HDFS sink has alot of issues, attached a small test to prove it works and some metrics.
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Omid Vahdaty
Mitchell Hashimoto takes an in depth look at HashiCorp Nomad
London HUG 8/3 - Nomad
London HUG 8/3 - Nomad
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Apache Flume is a simple yet robust data collection and aggregation framework which allows easy declarative configuration of components to pipeline data from upstream source to backend services such as Hadoop HDFS, HBase and others.
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Apache flume - an Introduction
Erik Schmiegelow
You will learn how Orange Financial combats financial fraud over 50M transactions a day using Apache Pulsar. The presentation is shared at Strata Data Conference at New York, US, 2019/09.
How Orange Financial combat financial frauds over 50M transactions a day usin...
How Orange Financial combat financial frauds over 50M transactions a day usin...
JinfengHuang3
The highest message delivery guarantee that Apache Pulsar provides is 'exactly-once', producing at a single partition via Idempotent Producer. Users are guaranteed that every message produced to a single partition via an Idempotent Producer will be persisted exactly once, without data loss. However, there is no 'atomicity' when a producer attempts to produce messages to multiple partitions. From the consumer side, acknowledgment is a best-effort operation, which results in message redelivery, hence consumer will receive duplicate messages. Pulsar only guarantees 'at-least-once' consumption for consumers. It creates inconvenience and brings in complexity when you use Pulsar to build mission-critical services (such as billing services). We introduce Transaction support in Pulsar 2.8.0 release, to simplify the process of building reliable and fault resilient services using Apache Pulsar and Pulsar Functions. It provides the capability to achieve end-to-end exactly-once for streaming jobs in other stream processing engines. This presentation deep dives into the details of Pulsar transaction and how Pulsar transaction is applied to Pulsar Functions and other processing engines to achieve transactional event streaming. We will cover how Pulsar transaction works and how Pulsar Functions offers transaction support using Pulsar transaction.
Exactly-Once Made Easy: Transactional Messaging in Apache Pulsar - Pulsar Sum...
Exactly-Once Made Easy: Transactional Messaging in Apache Pulsar - Pulsar Sum...
StreamNative
Monica ist Mit-Schöpferin von Elastic Beats. Bevor sie Beats erfand, arbeitete sie als Core Developer für IPTEGO, einem Start-Up Unternehmen aus Berlin, das eine komplette Monitoring und Trouble-Shooting Solution für VoIP Netzwerke anbietet. Das Produkt wurde weltweit verkauft, und wird derzeit von großen Firmen der Telekommunikationsbranche verwendet.
OSMC 2016 - Monitor your infrastructure with Elastic Beats by Monica Sarbu
OSMC 2016 - Monitor your infrastructure with Elastic Beats by Monica Sarbu
NETWAYS
Both Apache Pulsar and Apache Flink share a similar view on how the data and the computation level of an application can be “streaming-first” with batch as a special case streaming. With Apache Pulsar’s Segmented-Stream storage and Apache Flink’s steps to unify batch and stream processing workloads under one framework, there are numerous ways of integrating the two technologies to provide elastic data processing at massive scale, and build a real streaming warehouse. In this talk, Sijie Guo from Apache Pulsar community will given an overview of Apache Pulsar and how it provides the unified data view to fully leverage Apache Flink unified computation runtime for elastic data processing. He will share the latest integrations between Apache Pulsar and Apache Flink, especially around effectively-once processing and schema integration.
When apache pulsar meets apache flink
When apache pulsar meets apache flink
StreamNative
In Apache Pulsar Beijing Meetup, Yijieshen gave a presentation of the current state of Apache Pulsar integrating with Big Data Ecosystem. He explains why and how Pulsar fits into current big data computing and query engines, and how Pulsar integrates with Spark, Flink and Presto for unified data processing system.
Integrating Apache Pulsar with Big Data Ecosystem
Integrating Apache Pulsar with Big Data Ecosystem
StreamNative
At Librato, a Solarwinds company, we run hundreds of Cassandra instances across multiple rings and use it as our primary data store. In the past year, we embarked on a process to upgrade our fleet of Cassandra Amazon EC2 instances from instance store to instances using Amazon EBS and attached elastic network interfaces (ENIs). We find running Cassandra on EBS gives us the flexibility to choose the best instances for the best performance of our workload while saving us significant costs on infrastructure. In this session, we discuss how Librato operates Cassandra on EBS. Topics include how we chose the right instance for our workload, use detached EBS volumes and ENI mobility to reduce MTTR, use mixed EBS storage types for the best cost/performance tradeoff, debug performance issues, and continuously monitor Cassandra to get the most from AWS. We also look at performance tradeoffs made in the implementation of storage engines of large data systems like Cassandra.
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AWS re:Invent 2016: Case Study: Librato's Experience Running Cassandra Using ...
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Scalability strategies for cloud based system architecture
Scalability strategies for cloud based system architecture
SangJin Kang
The last few years have seen the emergence of Serverless as a paradigm for event streaming. Its very simple programming model has attracted developers in droves. At the same time, its ability to elastically scale has simplified operations significantly. Combined together with the ubiquity of their presence across all cloud providers, serverless today has become the leading choice to do event processing at scale for a lot of companies. In this talk, Sijie Guo from StreamNative will explore how the serverless paradigm is applied to event streaming in Apache Pulsar, a next-generation event streaming system. Pulsar provides native support for serverless functions where the events are processed as soon as they arrive in a streaming manner and that provides flexible deployment options (thread, process, container). He will describe how these serverless functions make data engineering easier and share the real world usage of Pulsar Functions.
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Talk at rootconf - A conference at Bangalore for sysadmins. Gist of the talk:- Puppet is a great configuration management tool and git is great at version controlling.AWS lets you create instances in few clicks. But when it comes to large deployments only automation(where tools come together) can make you productive and happy. I will take you through following.. Fog - The Ruby cloud services library and how it helps you to create vendor neutral cloud deployments, Puppet- Multi region puppet masters, Ruby- How Ruby pulls the strings together in EC2/ELB/RDS creation, Security group creation, IP authorization, Route53 DNS etc, Git- how we use git to version control deployment configs/configurations.
Cloud meets Fog & Puppet A Story of Version Controlled Infrastructure
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Introduction to puppet
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Goal: Demonstrate popular practices when mining big dissimilar texts Object of mining: texts from site: http://blogs.korrespondent.net Tool: R
TextMining with R
TextMining with R
Aleksei Beloshytski
제10회 개발자를 위한 ‘共感(공감)’ 세미나 - Session 5 Vagrant와 Chef로 개발서버 구축 자동화하기의 장표입니다. 규모가 있는 자바 웹 프로젝트는 대부분 개발, 테스트, 이관, 운영 등 n개의 서버로 배포/관리가 된다. 테스트, 이관, 운영과 같은 서버는 별도의 서버가 마련되어 구축되지만 개발서버는 일반적으로 개발자 자신의 PC에 구축해서 진행하는 경우가 많다. 이러다보니 개발자별로 조금씩 미묘하게 다른 서버 환경이 자신의 PC에서는 잘 되는 기능이 다른 서버에 배포되면 구동되지 않는 경우도 많고, 프로젝트에 참여하는 개발자들이 개발서버를 구축하기 위해서 들이는 비용도 만만치 많이 들어간다. Vagrant와 Chef라는 도구를 사용하면 개발자들이 자신의 PC에 개발서버를 구축하고 관리하는데 들어가는 비용을 획기적으로 줄일 수 있다. 예제에 보여준 동영상 : http://youtu.be/W28iX5WFRXU 예제에 사용된 소스 : https://gist.github.com/4366784
Vagrant와 chef로 개발서버 구축 자동화하기
Vagrant와 chef로 개발서버 구축 자동화하기
Arawn Park
This webinar will be discussing how to use DNS Failover to a range of high-availability architectures, from a simple backup website to advanced multi-region architectures.
AWS Webcast - High Availability with Route 53 DNS Failover
AWS Webcast - High Availability with Route 53 DNS Failover
Amazon Web Services
Content caching is one of the most effective ways to dramatically improve the performance of a web site. In this webinar, we’ll deep-dive into NGINX’s caching abilities and investigate the architecture used, debugging techniques and advanced configuration. By the end of the webinar, you’ll be well equipped to configure NGINX to cache content exactly as you need. View full webinar on demand at http://nginx.com/resources/webinars/content-caching-nginx/
NGINX High-performance Caching
NGINX High-performance Caching
NGINX, Inc.
2013-02-23, 13th JCO Conference
Nginx Testing in NAVER
Nginx Testing in NAVER
형근 송
도커 무작정 따라하기 - 도커가 처음인 사람도 60분이면 웹 서버를 올릴 수 있습니다! 도커의 기본 개념부터 설치와 사용 방법까지 설명합니다. 더 자세한 내용은 가장 빨리 만나는 도커(Docker)를 참조해주세요~ http://www.pyrasis.com/private/2014/11/30/publish-docker-for-the-really-impatient-book
도커 무작정 따라하기: 도커가 처음인 사람도 60분이면 웹 서버를 올릴 수 있습니다!
도커 무작정 따라하기: 도커가 처음인 사람도 60분이면 웹 서버를 올릴 수 있습니다!
pyrasis
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
Amazon Route 53 - Webinar Presentation 9.16.2015
Amazon Route 53 - Webinar Presentation 9.16.2015
Amazon Web Services
Talk for SCaLE13x. Video: https://www.youtube.com/watch?v=_Ik8oiQvWgo . Profiling can show what your Linux kernel and appliacations are doing in detail, across all software stack layers. This talk shows how we are using Linux perf_events (aka "perf") and flame graphs at Netflix to understand CPU usage in detail, to optimize our cloud usage, solve performance issues, and identify regressions. This will be more than just an intro: profiling difficult targets, including Java and Node.js, will be covered, which includes ways to resolve JITed symbols and broken stacks. Included are the easy examples, the hard, and the cutting edge.
Linux Profiling at Netflix
Linux Profiling at Netflix
Brendan Gregg
Destacado
(20)
Cloud meets Fog & Puppet A Story of Version Controlled Infrastructure
Cloud meets Fog & Puppet A Story of Version Controlled Infrastructure
Get on with git
Get on with git
Accept paradigm shifts to Accelerate devops
Accept paradigm shifts to Accelerate devops
AMAZON AWS S3,C/F, Route53, SSL 연동하기
AMAZON AWS S3,C/F, Route53, SSL 연동하기
コンテンツ配信: CloudFront & 名前解決サービス: Route 53 詳細 -ほぼ週刊AWSマイスターシリーズ第3回-
コンテンツ配信: CloudFront & 名前解決サービス: Route 53 詳細 -ほぼ週刊AWSマイスターシリーズ第3回-
WordPress + NGINX Best Practices with EasyEngine
WordPress + NGINX Best Practices with EasyEngine
AWS CSA Associate 04-07
AWS CSA Associate 04-07
Amazon Route53へのドメイン移管
Amazon Route53へのドメイン移管
확률 통계 (파이썬)
확률 통계 (파이썬)
덤프 파일을 통한 사후 디버깅 실용 테크닉 NDC2012
덤프 파일을 통한 사후 디버깅 실용 테크닉 NDC2012
Docker기반 분산 플랫폼
Docker기반 분산 플랫폼
Introduction to puppet
Introduction to puppet
TextMining with R
TextMining with R
Vagrant와 chef로 개발서버 구축 자동화하기
Vagrant와 chef로 개발서버 구축 자동화하기
AWS Webcast - High Availability with Route 53 DNS Failover
AWS Webcast - High Availability with Route 53 DNS Failover
NGINX High-performance Caching
NGINX High-performance Caching
Nginx Testing in NAVER
Nginx Testing in NAVER
도커 무작정 따라하기: 도커가 처음인 사람도 60분이면 웹 서버를 올릴 수 있습니다!
도커 무작정 따라하기: 도커가 처음인 사람도 60분이면 웹 서버를 올릴 수 있습니다!
Amazon Route 53 - Webinar Presentation 9.16.2015
Amazon Route 53 - Webinar Presentation 9.16.2015
Linux Profiling at Netflix
Linux Profiling at Netflix
Similar a DNS in the Cloud
documents for kali linux
Tools kali
Tools kali
ketban0702
MySQL Cluster Carrier Grade Edition
MYSQL
MYSQL
gilashikwa
An overview of Niara/IntroSpect's data correlation solution implemented using PySpark and HDFS.
Data correlation using PySpark and HDFS
Data correlation using PySpark and HDFS
John Conley
In This Presentation, Following Topics for BIND DNS Basics to advanced, with details of E// IPWorks Implemenation, are clarified and presented. (o) DNS Basics (o) Architecture, HW Details (o) Role of DNS in Data Network ( 3G/LTE ) (o) ZONE, Query and TPS (o) SW Platforms, DB, ASDNS (o) Configuration (o) O&M And Backup
BIND DNS IPWorks Introduction To Advanced
BIND DNS IPWorks Introduction To Advanced
Mustafa Golam
Building Linux IPv6 DNS Server (Complete Presentation)
Building Linux IPv6 DNS Server (Complete Presentation)
Building Linux IPv6 DNS Server (Complete Presentation)
Hari
Gluster for sysadmins_dustin_black
Gluster for sysadmins
Gluster for sysadmins
Gluster.org
RedisConf19
Scaling Redis To 1M Ops/Sec: Jane Paek
Scaling Redis To 1M Ops/Sec: Jane Paek
Redis Labs
Passive DNS Collection -- the 'dnstap' approach, by Paul Vixie. A presentation given at APNIC 38 during the APOPS 2 session.
Passive DNS Collection -- the 'dnstap' approach, by Paul Vixie [APNIC 38 / AP...
Passive DNS Collection -- the 'dnstap' approach, by Paul Vixie [APNIC 38 / AP...
APNIC
Introduction to Real Application Cluster RAC - Savior of DBA Oracle Clusterware (Platform on Platform) RAC Startup sequence RAC Architecture RAC Components Single Instance on RAC Node Eviction Important Log directories in RAC. Tips to monitor and improve the RAC environment.
RAC - The Savior of DBA
RAC - The Savior of DBA
Nikhil Kumar
Running Apache Traffic Control on Mobile Network
COSCUP 2019 - CDN in an Edge Box
COSCUP 2019 - CDN in an Edge Box
Shihta Kuan
Overview of the Domain Name System (DNS). In the early days of the Internet, hosts had a fixed IP address. Reaching a host required to know its numeric IP address. With the growing number of hosts this scheme became quickly awkward and difficult to use. DNS was introduced to give hosts human readable names that would be translated into a numeric IP addresses on the fly when a requesting host tried to reach another host. To facilitate a distributed administration of the domain names, a hierarchic scheme was introduced where responsibility to manage domain names is delegated to organizations which can further delegate management of sub-domains. Due to its importance in the operation of the Internet, domain name servers are usually operated redundantly. The databases of both servers are periodically synchronized.
DNS - Domain Name System
DNS - Domain Name System
Peter R. Egli
Zabbix Korea Community 주관 커뮤니티 세미나에서 오픈소스 Pacemaker 활용한 zabbix 이중화 방안 주제로 발표한 자료입니다.
[발표자료] 오픈소스 Pacemaker 활용한 zabbix 이중화 방안(w/ Zabbix Korea Community)
[발표자료] 오픈소스 Pacemaker 활용한 zabbix 이중화 방안(w/ Zabbix Korea Community)
동현 김
Name Based Net Architectures
Name Based Net Architectures
webhostingguy
Name Based Net Architectures
Name Based Net Architectures
webhostingguy
There's a big shift in both at the architecture and api level from Hadoop 1 vs Hadoop 2, particularly YARN and we had our first meetup to talk about this (http://www.meetup.com/Atlanta-YARN-User-Group/) on 10/13/2013.
Hadoop 1.x vs 2
Hadoop 1.x vs 2
Rommel Garcia
DHcP
DHCP
DHCP
viditsir
Dns protocol design attacks and security
Dns protocol design attacks and security
Michael Earls
Tungsten Fabric SDN Controller overview, Microservices Architecture, and Multi-Cloud feature overview
Osnug meetup-tungsten fabric - overview.pptx
Osnug meetup-tungsten fabric - overview.pptx
M.Qasim Arham
Presentation by Artyom Gavrichenkov at APRICOT 2018 on Monday, 26 February 2018.
DNS Survival Guide
DNS Survival Guide
APNIC
A contemporary network service heavily depends on domain name system operating normally. Yet, often issues and caveats of typical DNS setup are being overlooked. DNS (like BGP before) is expected to "just work" everywhere, however, just as BGP, this is a complex protocol and a complex solution where a lot of things could go wrong in multiple ways under different circumstances. This talk is supposed to provide some assistance both in maintaining your own DNS infrastructure and in relying on service providers doing this.
DNS Survival Guide.
DNS Survival Guide.
Qrator Labs
Similar a DNS in the Cloud
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Tools kali
Tools kali
MYSQL
MYSQL
Data correlation using PySpark and HDFS
Data correlation using PySpark and HDFS
BIND DNS IPWorks Introduction To Advanced
BIND DNS IPWorks Introduction To Advanced
Building Linux IPv6 DNS Server (Complete Presentation)
Building Linux IPv6 DNS Server (Complete Presentation)
Gluster for sysadmins
Gluster for sysadmins
Scaling Redis To 1M Ops/Sec: Jane Paek
Scaling Redis To 1M Ops/Sec: Jane Paek
Passive DNS Collection -- the 'dnstap' approach, by Paul Vixie [APNIC 38 / AP...
Passive DNS Collection -- the 'dnstap' approach, by Paul Vixie [APNIC 38 / AP...
RAC - The Savior of DBA
RAC - The Savior of DBA
COSCUP 2019 - CDN in an Edge Box
COSCUP 2019 - CDN in an Edge Box
DNS - Domain Name System
DNS - Domain Name System
[발표자료] 오픈소스 Pacemaker 활용한 zabbix 이중화 방안(w/ Zabbix Korea Community)
[발표자료] 오픈소스 Pacemaker 활용한 zabbix 이중화 방안(w/ Zabbix Korea Community)
Name Based Net Architectures
Name Based Net Architectures
Name Based Net Architectures
Name Based Net Architectures
Hadoop 1.x vs 2
Hadoop 1.x vs 2
DHCP
DHCP
Dns protocol design attacks and security
Dns protocol design attacks and security
Osnug meetup-tungsten fabric - overview.pptx
Osnug meetup-tungsten fabric - overview.pptx
DNS Survival Guide
DNS Survival Guide
DNS Survival Guide.
DNS Survival Guide.
Último
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
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Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
lior mazor
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
wesley chun
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
apidays
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
In the thrilling conclusion to 2023, ransomware groups had a banner year, really outdoing themselves in the "make everyone's life miserable" department. LockBit 3.0 took gold in the hacking olympics, followed by the plucky upstarts Clop and ALPHV/BlackCat. Apparently, 48% of organizations were feeling left out and decided to get in on the cyber attack action. Business services won the "most likely to get digitally mugged" award, with education and retail nipping at their heels. Hackers expanded their repertoire beyond boring old encryption to the much more exciting world of extortion. The US, UK and Canada took top honors in the "countries most likely to pay up" category. Bitcoins were the currency of choice for discerning hackers, because who doesn't love untraceable money?
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
Overkill Security
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Último
(20)
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
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GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
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DNS in the Cloud
1.
DNS in the
Cloud Route53 & Dynect 21-12-2013, AWS User Group Bangalore Meetup Habeeb Rahman | Apigee | @habi_pk
2.
TTFB VS TTFDNSQR
3.
Time To First
Byte (TTFB)
4.
Time To First
DNS Query Response (TTFDNSQR)
5.
DNS Primer
6.
UDP & TCP Port
53
7.
BIND & POWERDNS
8.
DNS Types
9.
Primary(Master)
10.
Secondary(Slave)
11.
Caching
12.
Forwarding
13.
Authoritative
14.
Synergy
15.
DNS Appliances
16.
BT IPControl Sapphire
17.
Citrix Netscaler
18.
F5 Global Traffic Manager
19.
DNS in the
Cloud ( Managed DNS)
20.
21.
22.
23.
Hosted vs Cloud
24.
APIs
25.
Modules (Python,Ruby...)
26.
Unicast vs Anycast
27.
Unicast DNS 1 1.1.1.1 INDIA DNS CLIENT (INDIA) DNS CLIENT (USA)
28.
Anycast DNS 1 1.1.1.1 INDIA DNS CLIENT INDIA DNS 1 1.1.1.1 USA DNS CLIENT USA
29.
Same destination IP
but different routes 129.250.4.142
30.
Health Check
31.
Health Check Protocols http https smtp tcp ping
32.
Health Check -
Dynect
33.
Health Check -
Route53
34.
Round Robin
35.
Weighted Round Robin
36.
Active Failover
37.
Global Server Load
Balancer Traffic Manager (Dynect)
38.
Traffic Director (Dynect)
39.
Real Time Traffic Management
Service (Dynect)
40.
Alias Record (Route53)
41.
Latency Based Routing (Route53)
42.
Demo Route53 (Active Failover)
43.
Explore more... https://www.isc.org/downloads/bind/ https://www.powerdns.com/ http://aws.amazon.com/route53/ http://dyn.com/ http://www.f5.com/products/big-ip/big-ip-global-traffic-manager/overview/ http://btdiamondip.com/DNS_Appliances.aspx http://www.citrix.com/products/netscaler-application-delivery-controller/features/app-delivery/global-server-load-balancing.html
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