AWSを使ったトラッキングログ収集

•Download as KEY, PDF•

2 likes•1,585 views

This document discusses several AWS services including Elastic Load Balancing, Auto Scaling, Amazon Elastic Compute Cloud (EC2), SimpleDB, Cassandra, MapReduce, and HDFS. It provides information on the features and capabilities of each service, how they can work together, and examples of architectures using multiple AWS services.

Technology Business

•
•
• ...

• ...

• Twitter @ryu_kobayashi

Elastic Load Amazon Elastic
Balancing Compute Cloud

Elastic Load Amazon Elastic
Balancing Compute Cloud

Auto Scaling

}
Amazon Elastic Amazon
Compute Cloud SimpleDB

SimpleDB
Domain size 10 GB per domain
Domain size 1 billion attributes per domain
Domain name 3-255 characters a-z, A-Z, 0-9, ‘_’, ‘-’, and ‘.’
Domain per account 100
Attribute name-value paris per item 256
Attribute name length 1024 bytes
Attribute values length 1024 bytes
Item name Length 1024 bytes
Attribute name, attribute value, and All UTF-8 characters that are valid in XML documents.
item allow characters
Attribute per PutAttributes operation 256
Attribute requested Per Select operation 256
Item per BatchPutAttributes operation 256
Maximum items in Select response 2500
Maximum query execution time 5 seconds
Maximum number of unique attributes per select 20
exception
Maximum number of comparisons per 20
Select exception
Maximum response size for Select 1MB

• PV/

•
• 100

• 1 1
...
• 8
10
• Item Attribute

}
Amazon Elastic Amazon
Compute Cloud SimpleDB

DC

Amazon EBS provides persistent block-level storage volumes for use with Amazon EC2 instances. In this technical session, you will discover how Amazon EBS can take your application deployments on EC2 to the next level. Session attendees will learn about the Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. We discuss how to maximize Amazon EBS performance, with a special emphasis on low-latency, high-throughput applications like transactional and NoSQL databases, and big data analysis frameworks like Hadoop and Kafka. We will also dive deep and discuss Elastic Volumes, our latest EBS feature that allows you to dynamically increase capacity, tune performance, and change the type of EBS volumes on the fly. Throughout, we share tips for success.

SRV413 Deep Dive on Elastic Block Storage (Amazon EBS)

Amazon Web Services

Understanding AWS Storage Options

Amazon Web Services

With AWS, you can choose the right storage service like including Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Block Storage (Amazon EBS) for the right use case. This session shows the range of AWS choices—from object storage to block storage—that are available to you. The sessions will also include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway. Reasons to attend: Learn how to select which storage options to use, based your requirements for cost, access pattern and use case. Understand why AWS is a perfect platform for the storage of digital assets, data, media and backups. Discover how Glacier can revolutionize your long term archive management by removing the need for costly and fragile media types. Hear about customer use cases and a rich partner ecosystem of services built on AWS storage services.

SRV413 Deep Dive on Elastic Block Storage (Amazon EBS)

Amazon Web Services

Media Content Ingest, Storage, and Archiving with AWS - John Downey, Amazon W...

Amazon Web Services

The document discusses various options for ingesting, storing, and archiving media content on AWS. It describes AWS services like S3, EBS, Glacier, and ingest options like Direct Connect, Import/Export, and Storage Gateway. It also discusses partner options for content ingestion, storage, and archiving like Aspera, CloudBeam, Signiant, and Avere/Panzura solutions. The document provides details on the capabilities, use cases, and pricing for each option.

Deep Dive on Amazon EBS - AWS Online Tech Talks

Amazon Web Services

Amazon Elastic Block Store (Amazon EBS) provides persistent block level storage for use with Amazon EC2 instances. In this technical session, we will present and demonstrate how you can increase capacity, tune performance, and modify volume types on the fly with the latest Amazon EBS innovation, Elastic Volumes. You will learn how Elastic Volumes can significantly reduce both operational complexity and downtime enabling you to right-size your deployment and dynamically adapt as your business needs change.

Deep Dive on Amazon Elastic Block Store

Amazon Web Services

Amazon EBS provides persistent block storage volumes for use with EC2 instances. EBS volumes exist separately from instances in Availability Zones and can be attached to any instance type. There are several EBS volume types optimized for different use cases including SSD and HDD. EBS also supports automated snapshots for backup and long term archival storage in S3. Security best practices include encrypting EBS volumes using AWS KMS to protect data at rest.

Aws cost strategies

John Louis Garcia

This document discusses strategies for optimizing AWS costs, including right-sizing instances to match workload demands, taking advantage of reserved instances for discounts, leveraging tiered pricing as usage increases, and using the latest instance generations. It also covers AWS pricing policies of paying for what is used, reserving instances for lower prices, higher discounts with greater usage volumes, and decreasing prices over time. Finally, it summarizes the AWS Free Tier offering and how to maximize the benefits.

EC2 is Amazon's Elastic Compute Cloud that provides secure and scalable virtual computing resources. It offers virtual machines known as instances that customers can launch, manage, and terminate as needed. EC2 provides high performance, reliability and scalability by distributing instances across multiple regions and availability zones. Customers pay for instances based on factors like the instance type, region, operating system and amount of time the instances are running. EC2 integrates with other AWS services and provides features like automatic scaling of resources based on demand.

Serverless Microservices w/ AWS Lambda and node.js

Frank Valcarcel

This document discusses serverless microservices using AWS Lambda and Node.js. It begins by explaining that AWS Lambda is a serverless computing platform that runs code without provisioning or managing servers. It then discusses how serverless architectures can be used to build microservices and outlines some of the pros and cons of AWS Lambda, including event-driven automatic scaling, on-demand pricing model, and resource limits. It concludes by providing examples of serverless use cases and architectures using AWS Lambda and other AWS services.

High Performance MongoDB on Storage-Optimized AWS EC2

MongoDB

1) The document discusses high performance MongoDB deployments on Amazon EC2. It describes the evolution of different EC2 instance types optimized for storage I/O, memory, and hybrid workloads. 2) It analyzes storage options like EBS, EBS PIOPS, and instance storage, providing guidance on when to use each. Cost considerations are also discussed. 3) The document outlines several functional deployment patterns for MongoDB on EC2, including replica sets, sharding, and using the MongoDB Management Service for backups.

AWS Storage Services - AWS Presentation - AWS Cloud Storage for the Enterpris...

Amazon Web Services

Getting Started with Amazon DynamoDB

Amazon Web Services

This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. We will also explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service. Learn the fundamentals of DynamoDB and see the new DynamoDB console first-hand as we discuss common use cases and benefits of this high-performance key-value and JSON document store.

AWS EBS

Mahesh Raj

Amazon EBS provides highly available, reliable, durable, block-level storage volumes that can be attached to a running instance EBS as a primary storage device is recommended for data that requires frequent and granular updates for e.g. running a database or filesystems An EBS volume behaves like a raw, unformatted, external block device that can be attached to a single EC2 instance at a time EBS volume persists independently from the running life of an instance. An EBS volume can be attached to any instance within the same Availability Zone, and can be used like any other physical hard drive

CloudFork

ESUG

Overview and Best Practices for Amazon Elastic Block Store - September 2016 W...

Amazon Web Services

Amazon Elastic Block Store (Amazon EBS) provides persistent block level storage volumes for use with Amazon EC2 instances. In this technical session, we present the differences between the types of Amazon EBS block storage so that you can best understand which storage type to use for your different application deployments. We discuss how to maximize Amazon EBS performance with a special eye towards low-latency and high-throughput applications. We discuss Amazon EBS encryption and share best practices for Amazon EBS snapshot management. Throughout, we share tips for success. Learning Objectives: • Learn about the latest updates to EBS • Learn about best practices for using EBS. Who Should Attend: • Application admins, DBAs, database and big data architects

Deep Dive on Amazon EBS Elastic Volumes - March 2017 AWS Online Tech Talks

Amazon Web Services

This document provides an overview of Amazon Elastic Block Storage (EBS) elastic volumes, which allow customers to modify existing EBS volumes non-disruptively. The key capabilities include increasing volume size, changing volume types, and increasing or decreasing provisioned IOPS on io1 volumes. The modifications can be made using the AWS Management Console, command line interface, or SDKs. During a modification, volume performance is between the original and target characteristics. Customers should monitor the modification state and may need to extend the file system if increasing volume size. EBS elastic volumes provide an easy way to modify volumes without downtime or performance impact.

AWS Webcast - Introduction to EBS

Amazon Web Services

This presentation provides an overview of Amazon Elastic Block Store (EBS) and key performance concepts. EBS provides persistent block level storage volumes for use with EC2 instances. It discusses the different volume types (standard and provisioned IOPS), factors that impact performance like block size and queue depth, and best practices for architecting storage for performance and availability. The presentation also provides examples of how enterprises and applications use EBS and guidelines for minimum, production and large-scale usage.

(STG403) Amazon EBS: Designing for Performance

Amazon Web Services

Advanced EBS Snapshot Management (STG402) | AWS re:Invent 2013

Amazon Web Services

Amazon EBS Snapshot is an easy to use feature that backs up your data on an Amazon EBS volume. This session covers filesystem selection (XFS, ext*, etc.), quiescing of the filesystem, tagging of snapshots, and life-cycle management of snapshots. In this session, we introduce two new OSS tools. One tool manages arrays of snapshots using tagging, making it easier to snapshot and recover a RAID array of Amazon EBS volumes; another tool manages snapshots of root volumes across an AWS account, and automatically snapshotting and applying lifecycle management to root volume snapshots.

EC2 Performance, Spot Instance ROI and EMR Scalability

Jesse Anderson

AWS Summit London 2014 | Maximising EC2 and EBC Performance (400)

Amazon Web Services

Aws Elastic Block Storage

Dhananjay Aloorkar

Elastic Block Storage (EBS) is a storage service from AWS that provides persistent block storage volumes for use with EC2 instances. EBS volumes behave like physical hard drives attached to instances and can be mounted, formatted, etc. EBS volumes are available in different types (SSD, magnetic) with varying performance characteristics and pricing. EBS snapshots provide point-in-time copies of volumes stored in S3 for backup/disaster recovery. An upcoming related service is Elastic File System (EFS) which provides a common file system accessible to multiple EC2 instances.

Cómputo en AWS

Amazon Web Services LATAM

DAT102 Introduction to Amazon DynamoDB - AWS re: Invent 2012

Amazon Web Services

Amazon DynamoDB is a fully managed NoSQL database service provided by AWS that delivers single-digit millisecond performance at any scale. It provides fast and predictable performance with seamless scalability and flexible data modeling. DynamoDB allows users to provision the necessary throughput capacity and pay only for what they use, with no upfront costs and no need to provision, operate, or scale the underlying database infrastructure.

Deep Dive on Amazon DynamoDB

Amazon Web Services

The document provides an overview of Amazon DynamoDB, including its key capabilities like auto scaling, on-demand throughput capacity, and integration with other AWS services; it also discusses DynamoDB fundamentals like data modeling techniques, partitioning strategies to scale workload, and using secondary indexes to enable richer queries. Use cases that benefit from DynamoDB include applications that require massive scale, predictable low latency, or flexible schemas to support unstructured or semi-structured data like IoT, gaming metadata, social feeds, and e-commerce cart data.

Scaling MongoDB on Amazon Web Services (DAT209) | AWS re:Invent 2013

Amazon Web Services

This document provides a summary of a presentation on scaling MongoDB on Amazon Web Services. The presentation covered why MongoDB should be scaled on AWS due to its ability to rapidly scale on demand in a cost effective manner. It also discussed planning considerations for MongoDB and AWS topologies as well as selecting appropriate EC2 instances and storage options. The presentation then covered deploying MongoDB on AWS using DevOps tools like CloudFormation, Chef, and Puppet. It also discussed security, monitoring options like MongoDB Monitoring Service and CloudWatch, and backup strategies using snapshots.

AWS - an introduction to bursting (GP2 - T2)

Rasmus Ekman

Amazon Web Services OverView

Ariel K

This document provides an overview of Amazon Web Services (AWS). It begins by defining cloud computing as a utility service that provides on-demand access to technology resources over the internet. It then discusses how organizations can benefit from AWS through attributes like true elastic capacity, no upfront costs, and the ability to focus on their business instead of managing infrastructure. The document outlines several AWS building blocks, including compute (EC2), storage (S3, EBS), database (RDS, SimpleDB), and platform services (SQS, SWF). It provides examples of how these services can be used and integrated via APIs and software development kits.

Fast Data at Scale - AWS Summit Tel Aviv 2017

Amazon Web Services

AWS provides a wide set of services to manage your data, which allow our customers to choose the right tool to the right workload. Learn how to make your databases up to 10x faster and less expensive with Amazon ElastiCache for Redis and utilize DynamoDB Accelerator (DAX) to access your data on DynamoDB faster with no additional development efforts. If you need fast access to your data, these services might be the right services for your workload.

What's hot

Introduction to EC2 (AWS)

NodeXperts

Serverless Microservices w/ AWS Lambda and node.js

Frank Valcarcel

High Performance MongoDB on Storage-Optimized AWS EC2

MongoDB

AWS Storage Services - AWS Presentation - AWS Cloud Storage for the Enterpris...

Amazon Web Services

Getting Started with Amazon DynamoDB

Amazon Web Services

AWS EBS

Mahesh Raj

CloudFork

ESUG

Overview and Best Practices for Amazon Elastic Block Store - September 2016 W...

Amazon Web Services

Deep Dive on Amazon EBS Elastic Volumes - March 2017 AWS Online Tech Talks

Amazon Web Services

AWS Webcast - Introduction to EBS

Amazon Web Services

(STG403) Amazon EBS: Designing for Performance

Amazon Web Services

Advanced EBS Snapshot Management (STG402) | AWS re:Invent 2013

Amazon Web Services

EC2 Performance, Spot Instance ROI and EMR Scalability

Jesse Anderson

AWS Summit London 2014 | Maximising EC2 and EBC Performance (400)

Amazon Web Services

Aws Elastic Block Storage

Dhananjay Aloorkar

Cómputo en AWS

Amazon Web Services LATAM

DAT102 Introduction to Amazon DynamoDB - AWS re: Invent 2012

Amazon Web Services

Deep Dive on Amazon DynamoDB

Amazon Web Services

Scaling MongoDB on Amazon Web Services (DAT209) | AWS re:Invent 2013

Amazon Web Services

AWS - an introduction to bursting (GP2 - T2)

Rasmus Ekman

What's hot (20)

Introduction to EC2 (AWS)

Serverless Microservices w/ AWS Lambda and node.js

High Performance MongoDB on Storage-Optimized AWS EC2

AWS Storage Services - AWS Presentation - AWS Cloud Storage for the Enterpris...

Getting Started with Amazon DynamoDB

AWS EBS

CloudFork

Overview and Best Practices for Amazon Elastic Block Store - September 2016 W...

Deep Dive on Amazon EBS Elastic Volumes - March 2017 AWS Online Tech Talks

AWS Webcast - Introduction to EBS

(STG403) Amazon EBS: Designing for Performance

Advanced EBS Snapshot Management (STG402) | AWS re:Invent 2013

EC2 Performance, Spot Instance ROI and EMR Scalability

AWS Summit London 2014 | Maximising EC2 and EBC Performance (400)

Aws Elastic Block Storage

Cómputo en AWS

DAT102 Introduction to Amazon DynamoDB - AWS re: Invent 2012

Deep Dive on Amazon DynamoDB

Scaling MongoDB on Amazon Web Services (DAT209) | AWS re:Invent 2013

AWS - an introduction to bursting (GP2 - T2)

Similar to AWSを使ったトラッキングログ収集

Amazon Web Services OverView

Ariel K

Fast Data at Scale - AWS Summit Tel Aviv 2017

Amazon Web Services

Scale, baby, scale

Julien SIMON

This document discusses how to scale applications hosted on Amazon Web Services (AWS) as user demand grows over time from 1 user to millions of users. It recommends starting with a single EC2 instance and expanding horizontally by adding more instances, separating application tiers, using managed database services like RDS, and leveraging auto-scaling and serverless technologies like AWS Lambda. Several case studies are presented showing how companies like Supercell and Airbnb have scaled to support tens or hundreds of millions of users daily using these AWS strategies and services.

"How to optimize the architecture of your platform" by Julien Simon

TheFamily

You want to launch your online platform and from a technical perspective you are wondering where to start and how to optimize your architecture? Cloud Computing presents several advantages such as scaling whenever you want your app our your Website. The hardest part is to define where to begin! During this 45 minutes workshop, Julien Simon will share with you the best practices to scale your platform from 0 to millions of users. He will present: - How to combine efficiently the tools Amazon Web Services provides, - How to set up the best architecture for your platform - How to scale your infrastructure in the Cloud. Before joining AWS, Julien worked as CTO of Viadeo and Aldebaran Robotics. He also spent more than 3 years as VP Engineering at Criteo. He is particularly interested by architecture, performance, deployment, scalability and data.

Jeff Barr Amazon Services Cloud Computing

deimos

The document introduces Amazon Web Services and describes several core services including Amazon Simple Storage Service (S3) for storing and retrieving data, Amazon Elastic Compute Cloud (EC2) for running virtual servers in Amazon's data centers, and Amazon SimpleDB for storing and querying non-relational data. It explains how these services provide scalable computing and storage infrastructure as modular web services that developers can use to build sophisticated, robust applications.

Scaling up to Your First 10 Million Users

Amazon Web Services

by Martin Schade, Enterprise Solutions Architect, & Gareth Eagar, Solutions Architect, AWS Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.

Aws introduction tocloudstorage

kwittkopf

Amazon offers multiple cloud storage options including S3, EBS, and local instance storage. S3 provides scalable object storage, EBS provides block-level storage volumes for EC2 instances, and local storage provides temporary disk space. Each has different performance, durability, cost and management characteristics suited for various use cases. CloudFront provides a global content delivery network to distribute cached content from S3 across its worldwide edge locations.

Log Analysis At Scale

Amazon Web Services

This document discusses strategies for logging at scale. It notes that logging presents challenges around temporary storage, data capture, permanent storage, and visualization. The document recommends starting with SQL databases and using NoSQL like Elasticsearch for very large datasets or fast data ingest. It presents Amazon Kinesis, Firehose, and Elasticsearch Service as tools to help with data capture, transport, and search. Visualization can be done with Kibana or by loading data into Redshift for use with existing BI tools. The key lessons are to reuse existing technologies when possible and choose the right tools for each part of the logging pipeline.

(BDT307) Zero Infrastructure, Real-Time Data Collection, and Analytics

Amazon Web Services

This document summarizes a presentation given by Steve Abraham and Brian Filppu on collecting and analyzing large amounts of real-time data with zero infrastructure using AWS services. It discusses using Amazon API Gateway to ingest data, Amazon Kinesis to collect and store data, AWS Lambda to process data in real-time, and Amazon Redshift and Aurora for analytics and querying. It also provides a case study of how Zillow uses this architecture to collect and analyze mobile app metrics.

AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)

Amazon Web Services

Scaling up to your first 10 million users - Pop-up Loft Tel Aviv

Amazon Web Services

Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.

Using Amazon Simple Db With Rails

Akhil Bansal

The document provides an overview of Amazon SimpleDB, including how it can be used with Ruby on Rails. SimpleDB is a non-RDBMS database service that allows flexible storage and querying of data without a predefined schema. The document outlines SimpleDB concepts like domains, items, and attributes, and how to use the AWS SDB proxy plugin to interface SimpleDB with Rails models and perform CRUD operations.

The Enterprise Grade SQL Server Deployments in AWS

Amazon Web Services

AWS has a number of services that help enterprise customers deploy solutions that meet high performance, security, and reliability requirements. SQL Server is no exception. In this session, we will explore the different options that exist today to help enterprises meet those types of requirements. Another key capability in AWS is flexibility. Multiple options exist for how enterprises can deploy SQL Server in AWS. We will talk in detail about how to choose between a managed database model like Relational Database Service (RDS) or core compute model like Elastic Compute Cloud (EC2). Finally, we’ll wrap up with an exploration of different operational aspects of SQL Server in AWS.

Enterprise Grade SQL Server Deployments in AWS

Amazon Web Services

(ARC301) Scaling Up to Your First 10 Million Users

Amazon Web Services

AWSome Day Online 2020_Modul 2: Memulai dengan Cloud

Amazon Web Services

Log Analytics with Amazon Elasticsearch Service and Amazon Kinesis - March 20...

Amazon Web Services

Log analytics is a common big data use case that allows you to analyze log data from websites, mobile devices, servers, sensors, and more for a wide variety of applications including digital marketing, application monitoring, fraud detection, ad tech, gaming, and IoT. In this tech talk, we will walk you step-by-step through the process of building an end-to-end analytics solution that ingests, transforms, and loads streaming data using Amazon Kinesis Firehose, Amazon Kinesis Analytics and AWS Lambda. The processed data will be saved to an Amazon Elasticsearch Service cluster, and we will use Kibana to visualize the data in near real-time. Learning Objectives: 1. Reference architecture for building a complete log analytics solution 2. Overview of the services used and how they fit together 3. Best practices for log analytics implementation

Scale, baby, scale!

Julien SIMON

- The document outlines strategies for scaling applications on Amazon Web Services (AWS) from a single instance to support millions of users. - It describes starting with a single EC2 instance and database and scaling out by adding more instances, load balancers, and managed database services. - The document recommends leveraging serverless architectures using services like AWS Lambda and managed services to build highly scalable and available applications without having to manage servers.

4K Media Workflows on AWS

Amazon Web Services

This document discusses 4K media workflows on AWS. It introduces the concept of a "content lake" where all digital content is stored in Amazon S3 regardless of format or resolution. The content lake provides durable, scalable storage that can be accessed from anywhere. Content in the lake can be processed using auto-scaling compute resources like EC2 and then delivered to users. This infrastructure allows for cost-effective ingestion, processing, management and delivery of 4K and other high resolution content in the cloud.

AWS Storage and Database Architecture Best Practices (DAT203) | AWS re:Invent...

Amazon Web Services

Learn about architecture best practices for combining AWS storage and database technologies. We outline AWS storage options (Amazon EBS, Amazon EC2 Instance Storage, Amazon S3 and Amazon Glacier) along with AWS database options including Amazon ElastiCache (in-memory data store), Amazon RDS (SQL database), Amazon DynamoDB (NoSQL database), Amazon CloudSearch (search), Amazon EMR (hadoop) and Amazon Redshift (data warehouse). Then we discuss how to architect your database tier by using the right database and storage technologies to achieve the required functionality, performance, availability, and durability—at the right cost.

Similar to AWSを使ったトラッキングログ収集 (20)

Amazon Web Services OverView

Fast Data at Scale - AWS Summit Tel Aviv 2017

Scale, baby, scale

"How to optimize the architecture of your platform" by Julien Simon

Jeff Barr Amazon Services Cloud Computing

Scaling up to Your First 10 Million Users

Aws introduction tocloudstorage

Log Analysis At Scale

(BDT307) Zero Infrastructure, Real-Time Data Collection, and Analytics

AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)

Scaling up to your first 10 million users - Pop-up Loft Tel Aviv

Using Amazon Simple Db With Rails

The Enterprise Grade SQL Server Deployments in AWS

Enterprise Grade SQL Server Deployments in AWS

(ARC301) Scaling Up to Your First 10 Million Users

AWSome Day Online 2020_Modul 2: Memulai dengan Cloud

Log Analytics with Amazon Elasticsearch Service and Amazon Kinesis - March 20...

Scale, baby, scale!

4K Media Workflows on AWS

AWS Storage and Database Architecture Best Practices (DAT203) | AWS re:Invent...

More from Ryu Kobayashi

PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine

Ryu Kobayashi

Ryu Kobayashi gave a presentation on Plazma TD's Hive2 implementation. He discussed how they forked from Apache Hive due to bugs not being addressed quickly enough. Their storage uses PlazmaDB instead of HDFS. He highlighted how they have improved performance with vectorization support and fixed bugs. Upcoming plans include alpha/beta releases of their new PlazmaDB with CBO support, adding Tez execution, and supporting Hive3. Testing involves system-level and query-focused testing to address issues like schema mismatches and UDF incompatibilities.

Treasure Data on The YARN - Hadoop Conference Japan 2014

Ryu Kobayashi

Ryu Kobayashi from Treasure Data gave a presentation on using YARN (Yet Another Resource Negotiator) with Hadoop. Some key points: - YARN was introduced to improve Hadoop resource management by separating processing from scheduling. - Configuration changes are required when moving from MRv1 to YARN, including properties for memory allocation and scheduler configuration. - Container execution, directories, and other components were adapted in the transition from JobTracker to the ResourceManager and NodeManager architecture in YARN. - Proper configuration of YARN is important to avoid bugs, and tools from distributions can help with configuration.

Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter

Ryu Kobayashi

Huahin Framework is a general term for multiple Hadoop products including Huahin Core, Huahin Tools, and Huahin Manager. Huahin Core simplifies MapReduce programs and includes examples like calculating the top 10 most popular pages from log data. It handles basic functions like grouping, sorting, and joins. The page top 10 example is demonstrated using both natural MapReduce with over 300 lines of code, and the simplified Huahin MapReduce with under 100 lines of code.

Hadoop Conference Japan 2011 Fall

Ryu Kobayashi

Developers summit cassandraで見るNoSQL

Ryu Kobayashi

1) The document discusses Cassandra, a NoSQL database. It provides an overview of Cassandra's history and features. 2) Cassandra was originally developed at Facebook and is now an open source project. It is based on concepts from Bigtable and Dynamo. 3) The document covers Cassandra's data model, architecture including use of gossip protocols and consistency levels, and compares it with relational databases.

Hadoopソースコードリーディング第3回 Hadopo MR + Cassandra

Ryu Kobayashi

Hadoopソースコードリーディング MapReduce障害時のフロー

Ryu Kobayashi

More from Ryu Kobayashi (7)

PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine

Treasure Data on The YARN - Hadoop Conference Japan 2014

Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter

Hadoop Conference Japan 2011 Fall

Developers summit cassandraで見るNoSQL

Hadoopソースコードリーディング第3回 Hadopo MR + Cassandra

Hadoopソースコードリーディング MapReduce障害時のフロー

Recently uploaded

Introduction of Cybersecurity with OSS at Code Europe 2024

Hiroshi SHIBATA

I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems. The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS. Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application. I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.

Taking AI to the Next Level in Manufacturing.pdf

ssuserfac0301

Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as: 1. How quickly AI is being implemented in manufacturing. 2. Which barriers stand in the way of AI adoption. 3. How data quality and governance form the backbone of AI. 4. Organizational processes and structures that may inhibit effective AI adoption. 6. Ideas and approaches to help build your organization's AI strategy.

WeTestAthens: Postman's AI & Automation Techniques

Postman

Your One-Stop Shop for Python Success: Top 10 US Python Development Providers

akankshawande

Best 20 SEO Techniques To Improve Website Visibility In SERP

Pixlogix Infotech

5th LF Energy Power Grid Model Meet-up Slides

DanBrown980551

5th Power Grid Model Meet-up It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology. Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. What to expect For the upcoming meetup we are organizing, we have an exciting lineup of activities planned: -Insightful presentations covering two practical applications of the Power Grid Model. -An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024. -An interactive brainstorming session to discuss and propose new feature requests. -An opportunity to connect with fellow Power Grid Model enthusiasts and users.

How to use Firebase Data Connect For Flutter

Daiki Mogmet Ito

National Security Agency - NSA mobile device best practices

Quotidiano Piemontese

Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...

Jeffrey Haguewood

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 integration of Salesforce with Bonterra Impact Management. Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

TrustArc Webinar - 2024 Global Privacy Survey

TrustArc

How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024? In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe. This webinar will review: - The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey - The top challenges for privacy leaders, practitioners, and organizations in 2024 - Key themes to consider in developing and maintaining your privacy program

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

SitimaJohn

Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.

Skybuffer SAM4U tool for SAP license adoption

Tatiana Kojar

Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool. SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.

Energy Efficient Video Encoding for Cloud and Edge Computing Instances

Alpen-Adria-Universität

Main news related to the CCS TSI 2023 (2023/1695)

Jakub Marek

An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers. The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 . The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .

UiPath Test Automation using UiPath Test Suite series, part 6

DianaGray10

Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI. UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities. Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes. What will you get from this session? 1. Insights into integrating generative AI. 2. Understanding how this integration enhances test automation within the UiPath platform 3. Practical demonstrations 4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath Topics covered: What is generative AI Test Automation with generative AI and Open AI. UiPath integration with generative AI Speaker: Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

June Patch Tuesday

Ivanti

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

20240607 QFM018 Elixir Reading List May 2024

Matthew Sinclair

Recommendation System using RAG Architecture

fredae14

GenAI Pilot Implementation in the organizations

kumardaparthi1024

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

saastr

Recently uploaded (20)

Introduction of Cybersecurity with OSS at Code Europe 2024

Taking AI to the Next Level in Manufacturing.pdf

WeTestAthens: Postman's AI & Automation Techniques

Your One-Stop Shop for Python Success: Top 10 US Python Development Providers

Best 20 SEO Techniques To Improve Website Visibility In SERP

5th LF Energy Power Grid Model Meet-up Slides

How to use Firebase Data Connect For Flutter

National Security Agency - NSA mobile device best practices

Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...

TrustArc Webinar - 2024 Global Privacy Survey

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

Skybuffer SAM4U tool for SAP license adoption

Energy Efficient Video Encoding for Cloud and Edge Computing Instances

Main news related to the CCS TSI 2023 (2023/1695)

UiPath Test Automation using UiPath Test Suite series, part 6

June Patch Tuesday

20240607 QFM018 Elixir Reading List May 2024

Recommendation System using RAG Architecture

GenAI Pilot Implementation in the organizations

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

AWSを使ったトラッキングログ収集

1. AWS @ryu_kobayashi

2. • • • ... • ... • Twitter @ryu_kobayashi

3. 2010 • • •

5. •

6. •

10. Elastic Load Balancing

11. Elastic Load Amazon Elastic Balancing Compute Cloud

12. Elastic Load Amazon Elastic Balancing Compute Cloud Auto Scaling

13. Elastic Load Amazon Elastic Balancing Compute Cloud Auto Scaling {

14. Elastic Load Amazon Elastic Balancing Compute Cloud Auto Scaling {

15. Elastic Load Amazon Elastic Balancing Compute Cloud Auto Scaling {

16. } Amazon Elastic Compute Cloud

17. } Amazon Elastic Compute Cloud

18. } Amazon Elastic Amazon Compute Cloud SimpleDB

19. SimpleDB Domain size 10 GB per domain Domain size 1 billion attributes per domain Domain name 3-255 characters a-z, A-Z, 0-9, ‘_’, ‘-’, and ‘.’ Domain per account 100 Attribute name-value paris per item 256 Attribute name length 1024 bytes Attribute values length 1024 bytes Item name Length 1024 bytes Attribute name, attribute value, and All UTF-8 characters that are valid in XML documents. item allow characters Attribute per PutAttributes operation 256 Attribute requested Per Select operation 256 Item per BatchPutAttributes operation 256 Maximum items in Select response 2500 Maximum query execution time 5 seconds Maximum number of unique attributes per select 20 exception Maximum number of comparisons per 20 Select exception Maximum response size for Select 1MB

20. SimpleDB Domain size 10 GB per domain Domain size 1 billion attributes per domain Domain name 3-255 characters a-z, A-Z, 0-9, ‘_’, ‘-’, and ‘.’ Domain per account 100 Attribute name-value paris per item 256 Attribute name length 1024 bytes Attribute values length 1024 bytes Item name Length 1024 bytes Attribute name, attribute value, and All UTF-8 characters that are valid in XML documents. item allow characters Attribute per PutAttributes operation 256 Attribute requested Per Select operation 256 Item per BatchPutAttributes operation 256 Maximum items in Select response 2500 Maximum query execution time 5 seconds Maximum number of unique attributes per select 20 exception Maximum number of comparisons per 20 Select exception Maximum response size for Select 1MB

21.

22. • PV/

23. • PV/ •

24. • PV/ • • 100

25. • PV/ • • 100 • 1 1 ...

26. • PV/ • • 100 • 1 1 ... • 8 10

27. • PV/ • • 100 • 1 1 ... • 8 10 • Item Attribute

28. } Amazon Elastic Compute Cloud

29. } Amazon Elastic Compute Cloud

30. } Amazon Elastic Amazon Compute Cloud SimpleDB

31. } Amazon Elastic Amazon Compute Cloud SimpleDB DC

32. } Amazon Elastic Amazon Compute Cloud SimpleDB DC