WEB LOG ANALYSIS

Written by mannem on . Posted in Achitectures

emremr

Amazon Web Services provides services and infrastructure to build reliable, fault-tolerant, and highly available web applications in the cloud. In production environments, these applications can generate huge amounts of log information. This data can be an important source of knowledge for any company that is operating web applications. Analyzing logs can reveal information such as traffic patterns, user behavior, marketing profiles, etc.

However, as the web application grows and the number of visitors increases, storing and analyzing web logs becomes increasingly challenging. This diagram shows how to use Amazon Web Services to build a scalable and reliable large-scale log analytics platform. The core component of this architecture is Amazon Elastic MapReduce, a web service that enables analysts to process large amounts of data easily and cost-effectively using a Hadoop hosted framework.


Tags: , , , ,

Trackback from your site.

Leave a comment

  • cloudformation

    cloudformation

    pipeline

    Data-pipelines

    directoryservice

    directoryservicez

    cloudtrail

    cloudtrail

    config

    config

    trustedadvisor

    Trustedadvisor

  • snap

    Snapshot

    glacier

    Glacie

    storagegw

    Storage Gatewa

    s3

    S3

    cloudFront

    Cloud Front

  • r53

    Route 53

    lambda

    lambd

    directConnect

    DirectConnect

    vpc

    VPC

    kinesis

    Kinesis

    emr

    Emr

  • sns

    SNS

    transcoder

    Transcoder

    sqs

    SQS

    cloudsearch

    Cloud Search

    appstream

    App Stream

    ses

    SES

  • opsworks

    opsworks

    cloudwatch

    Cloud Watch

    beanstalk

    Elastic Beanstalk

    codedeploy

    Code Deploy

    IAM

    IAM

  • dynamodb

    dynamodb

    rds

    RDS

    elasticache

    ElastiCache

    redshift

    Redshift

    simpledb

    simpledb