This document summarizes the features of Cloudlytics, a service for analyzing Amazon S3, CloudFront, and ELB logs. It provides analytics on geographic traffic sources, browsers, operating systems, HTTP status codes, costs and price optimization, latency, and custom report generation. Visualizations include heat maps, timelines, and geo maps. The goal is to help users track global content delivery, optimize costs, and monitor application performance and security.
Analytics & Reporting for Amazon Cloud LogsCloudlytics
A deep dive into the Cloudytics Reports section, with the Following reports in detail & how they can help you with your business use case:
- Geo Tracker Report
- IP Tracker Report
- Timeline Report
- ELB Tracker
- CloudFront Cost Analyzer
- Custom Function
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
by Dario Rivera, Solutions Architect, AWS
The world is producing an ever-increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Intro to Amazon Redshift Spectrum: Quickly Query Exabytes of Data in S3 - Jun...Amazon Web Services
Learning Objectives:
- Learn about Redshift Spectrum, a new feature that allows you to run Redshift queries directly against your data in Amazon S3 - Understand common use cases for Redshift Spectrum
- Identify strategies for improving performance and saving costs when querying your data in Amazon S3
Amazon Redshift Spectrum is a new feature that extends Amazon Redshift’s analytics capabilities beyond the data stored in your data warehouse to also query your data in Amazon S3. You can use Amazon Redshift and your existing business intelligence tools to run SQL queries against exabytes of data.
In this session, we will show you how you can easily start querying your data stored in Amazon S3 with Redshift Spectrum. You can run Amazon Redshift queries on Amazon S3 data on its own, or you can run queries that join together data in S3 with data already in your Redshift data warehouse. We will highlight technical details of query execution and implementation of Redshift Spectrum. We will talk about supported queries, data formats, and strategies to save cost by compressing or transforming your data into a columnar format.
Streaming Data Analytics with Amazon Redshift and Kinesis FirehoseAmazon Web Services
Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to transform and load streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this session, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively.
Data Warehousing in the Era of Big Data: Intro to Amazon RedshiftAmazon Web Services
An overview of how Amazon Redshift uses columnar technology, massively parallel processing, and other techniques to deliver fast query performance on petabyte-size datasets.
Getting started with billing files, what are the AWS billing files, how Atlassian does AWS Cost Allocation and what types of things you can expect to find when you dig deeper into the detailed billing files provided by AWS.
Analytics & Reporting for Amazon Cloud LogsCloudlytics
A deep dive into the Cloudytics Reports section, with the Following reports in detail & how they can help you with your business use case:
- Geo Tracker Report
- IP Tracker Report
- Timeline Report
- ELB Tracker
- CloudFront Cost Analyzer
- Custom Function
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
by Dario Rivera, Solutions Architect, AWS
The world is producing an ever-increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Intro to Amazon Redshift Spectrum: Quickly Query Exabytes of Data in S3 - Jun...Amazon Web Services
Learning Objectives:
- Learn about Redshift Spectrum, a new feature that allows you to run Redshift queries directly against your data in Amazon S3 - Understand common use cases for Redshift Spectrum
- Identify strategies for improving performance and saving costs when querying your data in Amazon S3
Amazon Redshift Spectrum is a new feature that extends Amazon Redshift’s analytics capabilities beyond the data stored in your data warehouse to also query your data in Amazon S3. You can use Amazon Redshift and your existing business intelligence tools to run SQL queries against exabytes of data.
In this session, we will show you how you can easily start querying your data stored in Amazon S3 with Redshift Spectrum. You can run Amazon Redshift queries on Amazon S3 data on its own, or you can run queries that join together data in S3 with data already in your Redshift data warehouse. We will highlight technical details of query execution and implementation of Redshift Spectrum. We will talk about supported queries, data formats, and strategies to save cost by compressing or transforming your data into a columnar format.
Streaming Data Analytics with Amazon Redshift and Kinesis FirehoseAmazon Web Services
Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to transform and load streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this session, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively.
Data Warehousing in the Era of Big Data: Intro to Amazon RedshiftAmazon Web Services
An overview of how Amazon Redshift uses columnar technology, massively parallel processing, and other techniques to deliver fast query performance on petabyte-size datasets.
Getting started with billing files, what are the AWS billing files, how Atlassian does AWS Cost Allocation and what types of things you can expect to find when you dig deeper into the detailed billing files provided by AWS.
In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
During a Big Data Warehousing Meetup in NYC, Elliott Cordo, Chief Architect at Caserta Concepts discussed emerging trends in real time data processing. The presentation included processing frameworks such as Spark and Storm, as well datastore technologies ranging from NoSQL to Hadoop. He also discussed exciting new AWS services such as Lambda, Kenesis, and Kenesis Firehose.
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)Amazon Web Services
During this session Greg Brandt and Liyin Tang, Data Infrastructure engineers from Airbnb, will discuss the design and architecture of Airbnb's streaming ETL infrastructure, which exports data from RDS for MySQL and DynamoDB into Airbnb's data warehouse, using a system called SpinalTap. We will also discuss how we leverage Spark Streaming to compute derived data from tracking topics and/or database tables, and HBase to provide immediate data access and generate cleanly time-partitioned Hive tables.
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for 1/10th the traditional cost. This session will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs. We’ll also cover the recently announced Redshift Spectrum, which allows you to query unstructured data directly from Amazon S3.
This talk is aimed at understanding how ranking of documents works with Solr and ways to improve relevancy your search application.
The first part of the talk will cover how a user query gets parsed in Solr and the default scoring which comes with it.
The second part of the talk covers how to customize scoring to work better with your dataset by experimenting with the available similarity implementations and writing your own similarity implementation.
Finally I will talk about adding different relevancy signals into your ranking algorithm and customizing results for your top N queries.
Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
Webinar | Accessing Your Data Lake Assets from Amazon Redshift SpectrumMatillion
In the third webinar in our Amazon Redshift Spectrum Series, learn more about how you can accessing your data lake assets from Amazon Redshift Spectrum.
Spectrum allows you to use the analytic capabilities of Amazon Redshift beyond the data which is in your data warehouse to query large amounts of semistructured and structured data in your “data lake,” without having to load or transform it into Amazon Redshift.
In this webinar learn:
- How to launch Amazon Redshift On-Demand
- About Amazon Redshift Spectrum from Greg Khairallah (AWS)
- More about Matillion's Spectrum features
- Through demonstration, how to accessing your data lake assets from Amazon Redshift Spectrum
Watch the full webinar: https://youtu.be/mOKWovh5l4g
Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. In this webinar, developers will learn how to build and deploy a streaming data processing application with Amazon Kinesis. We will cover the following: - A brief overview of Amazon Kinesis and drill down on key technical concepts. - Amazon Kinesis Client Library capabilities that enable customers to build fault tolerant, continuous processing applications that scale elastically. - The role of the supporting connector library for moving data into stores like S3 and Redshift. - Best practices for streaming data ingestion and processing with Amazon Kinesis.
Deep Dive Amazon Redshift for Big Data Analytics - September Webinar SeriesAmazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas, and tune query and database performance.
Learning Objectives:
• Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
• Learn how to migrate from existing data warehouses, optimize schemas, and load data efficiently
• Learn best practices for managing workload, tuning your queries, and using Amazon Redshift's interleaved sorting features
Interested in learning about event-driven programming? In this session we will introduce you to some of the basics of using Amazon DynamoDB, its newly launched Streams feature and AWS Lambda. We will provide an overview of both AWS products and walk you through the process of building a real-world application using AWS Triggers, which combines DynamoDB Streams and AWS Lambda.
Best Practices for Migrating your Data Warehouse to Amazon RedshiftAmazon Web Services
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process. We’ll learn about AWS Database Migration Service and AWS Schema Migration Tool, which were recently enhanced to import data from six common data warehouse platforms.
Beeswax, which provides real time Bidder as a Service for programmatic digital advertising solutions, will talk about how they built a feature-rich, real-time streaming data solution on AWS using Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon Data Pipeline. Beeswax will discuss key components of their solution including scalable data capture, messaging hub for archival, data warehousing, near real-time analytics, and real-time alerting.
(ARC202) Real-World Real-Time Analytics | AWS re:Invent 2014Amazon Web Services
Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. This session will use practical examples to discuss architectural best practices and lessons learned when solving real-time social media analytics, sentiment analysis, and data visualization decision-making problems with AWS. Learn how you can leverage AWS services like Amazon RDS, AWS CloudFormation, Auto Scaling, Amazon S3, Amazon Glacier, and Amazon Elastic MapReduce to perform highly performant, reliable, real-time big data analytics while saving time, effort, and money. Gain insight from two years of real-time analytics successes and failures so you don't have to go down this path on your own.
by Joyjeet Banerjee, Solutions Architect, AWS
Amazon Athena is a new serverless query service that makes it easy to analyze data in Amazon S3, using standard SQL. With Athena, there is no infrastructure to setup or manage, and you can start analyzing your data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3. Level 200
In this session, we will show you how easy it is to start querying your data stored in Amazon S3, with Amazon Athena. First we will use Athena to create the schema for data already in S3. Then, we will demonstrate how you can run interactive queries through the built-in query editor. We will provide best practices and use cases for Athena. Then, we will talk about supported queries, data formats, and strategies to save costs when querying data with Athena.
This presentation from the AWS Lab at Cloud Expo Europe 2014 contains details of newly announced services from Amazon Web Services, including Amazon Kinesis, Amazon WorkSpaces, AWS CloudTrail (beta), Amazon AppStream and Amazon RDS for PostgreSQL (beta)
This presentation talks about how you can optimize your Application Architecture on AWS Cloud and create a Fault Tolerant Architecture that will have Zero Down Time! The best practices for a fault tolerant Web Applicaiton.
In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
During a Big Data Warehousing Meetup in NYC, Elliott Cordo, Chief Architect at Caserta Concepts discussed emerging trends in real time data processing. The presentation included processing frameworks such as Spark and Storm, as well datastore technologies ranging from NoSQL to Hadoop. He also discussed exciting new AWS services such as Lambda, Kenesis, and Kenesis Firehose.
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)Amazon Web Services
During this session Greg Brandt and Liyin Tang, Data Infrastructure engineers from Airbnb, will discuss the design and architecture of Airbnb's streaming ETL infrastructure, which exports data from RDS for MySQL and DynamoDB into Airbnb's data warehouse, using a system called SpinalTap. We will also discuss how we leverage Spark Streaming to compute derived data from tracking topics and/or database tables, and HBase to provide immediate data access and generate cleanly time-partitioned Hive tables.
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for 1/10th the traditional cost. This session will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs. We’ll also cover the recently announced Redshift Spectrum, which allows you to query unstructured data directly from Amazon S3.
This talk is aimed at understanding how ranking of documents works with Solr and ways to improve relevancy your search application.
The first part of the talk will cover how a user query gets parsed in Solr and the default scoring which comes with it.
The second part of the talk covers how to customize scoring to work better with your dataset by experimenting with the available similarity implementations and writing your own similarity implementation.
Finally I will talk about adding different relevancy signals into your ranking algorithm and customizing results for your top N queries.
Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
Webinar | Accessing Your Data Lake Assets from Amazon Redshift SpectrumMatillion
In the third webinar in our Amazon Redshift Spectrum Series, learn more about how you can accessing your data lake assets from Amazon Redshift Spectrum.
Spectrum allows you to use the analytic capabilities of Amazon Redshift beyond the data which is in your data warehouse to query large amounts of semistructured and structured data in your “data lake,” without having to load or transform it into Amazon Redshift.
In this webinar learn:
- How to launch Amazon Redshift On-Demand
- About Amazon Redshift Spectrum from Greg Khairallah (AWS)
- More about Matillion's Spectrum features
- Through demonstration, how to accessing your data lake assets from Amazon Redshift Spectrum
Watch the full webinar: https://youtu.be/mOKWovh5l4g
Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. In this webinar, developers will learn how to build and deploy a streaming data processing application with Amazon Kinesis. We will cover the following: - A brief overview of Amazon Kinesis and drill down on key technical concepts. - Amazon Kinesis Client Library capabilities that enable customers to build fault tolerant, continuous processing applications that scale elastically. - The role of the supporting connector library for moving data into stores like S3 and Redshift. - Best practices for streaming data ingestion and processing with Amazon Kinesis.
Deep Dive Amazon Redshift for Big Data Analytics - September Webinar SeriesAmazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas, and tune query and database performance.
Learning Objectives:
• Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
• Learn how to migrate from existing data warehouses, optimize schemas, and load data efficiently
• Learn best practices for managing workload, tuning your queries, and using Amazon Redshift's interleaved sorting features
Interested in learning about event-driven programming? In this session we will introduce you to some of the basics of using Amazon DynamoDB, its newly launched Streams feature and AWS Lambda. We will provide an overview of both AWS products and walk you through the process of building a real-world application using AWS Triggers, which combines DynamoDB Streams and AWS Lambda.
Best Practices for Migrating your Data Warehouse to Amazon RedshiftAmazon Web Services
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process. We’ll learn about AWS Database Migration Service and AWS Schema Migration Tool, which were recently enhanced to import data from six common data warehouse platforms.
Beeswax, which provides real time Bidder as a Service for programmatic digital advertising solutions, will talk about how they built a feature-rich, real-time streaming data solution on AWS using Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon Data Pipeline. Beeswax will discuss key components of their solution including scalable data capture, messaging hub for archival, data warehousing, near real-time analytics, and real-time alerting.
(ARC202) Real-World Real-Time Analytics | AWS re:Invent 2014Amazon Web Services
Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. This session will use practical examples to discuss architectural best practices and lessons learned when solving real-time social media analytics, sentiment analysis, and data visualization decision-making problems with AWS. Learn how you can leverage AWS services like Amazon RDS, AWS CloudFormation, Auto Scaling, Amazon S3, Amazon Glacier, and Amazon Elastic MapReduce to perform highly performant, reliable, real-time big data analytics while saving time, effort, and money. Gain insight from two years of real-time analytics successes and failures so you don't have to go down this path on your own.
by Joyjeet Banerjee, Solutions Architect, AWS
Amazon Athena is a new serverless query service that makes it easy to analyze data in Amazon S3, using standard SQL. With Athena, there is no infrastructure to setup or manage, and you can start analyzing your data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3. Level 200
In this session, we will show you how easy it is to start querying your data stored in Amazon S3, with Amazon Athena. First we will use Athena to create the schema for data already in S3. Then, we will demonstrate how you can run interactive queries through the built-in query editor. We will provide best practices and use cases for Athena. Then, we will talk about supported queries, data formats, and strategies to save costs when querying data with Athena.
This presentation from the AWS Lab at Cloud Expo Europe 2014 contains details of newly announced services from Amazon Web Services, including Amazon Kinesis, Amazon WorkSpaces, AWS CloudTrail (beta), Amazon AppStream and Amazon RDS for PostgreSQL (beta)
This presentation talks about how you can optimize your Application Architecture on AWS Cloud and create a Fault Tolerant Architecture that will have Zero Down Time! The best practices for a fault tolerant Web Applicaiton.
The Presentation Talks about how Cloud Computing is Big Data's Best Friend and How AWS Cloud Components Fit in to complete your Big Data Life Cycle.
Agenda:
- How Big is Big Data Actually growing?
- How Cloud has the potential to become Big Data's Best Friend
- A tour on The Big Data Life Cycle
- How AWS Cloud Components Fit in to this Life Cycle
- A Case Study of Our Log Analytics Tool Cloudlytics, using Big Data Implementation
on AWS Cloud.
Video Content Asset Management & Publishing Workflow is a BlazeClan's 4 Step Media Solution Stack to Upload, Transcode, Publish & Archive all your Digital Media across multiple channels like YouTube, Vimeo, Brightcove & Dailymotion.
It is built on top of AWS Services and is listed in the AWS Test Drive Program. AWS Test Drive is a private IT sandbox environment which enables rapid provisioning & deployment of preconfigured server based solutions.
We are organizing a webinar on the same where will be discussing on how media companies can benefit from our Video Content Asset Management & Publishing Workflow and Automate their Video Media Management.
What are the technical specifications i.e the services on which the Workflow is built on. We will also be giving a demo on how the solution stack works.
It is a joint webinar from BlazeClan Technologies & Amazon Web Services.
Also a Company that we worked for is the Leading TV Channel Group in India for which BlazeClan Developed and Implemented a Content Asset Workflow Application to manage the Transcoding, Publishing and Archiving of Video Content Assets and their related Metadata for a leading Television Channel Group in India.
Learn how Cloud Computing is changing applications deployment.
See how software deployment is moving away from traditional on-premise installable, license based software to consuming software applications as services, on a subscription based models.
Learn about different SaaS application architectures that can help you convert your on-premise single tenant installable application to an online multi-tenant application.
Find out how to avoid huge capital expenditures upfront and do away with managing applications and dealing with software licenses, there are obvious benefits of running a SaaS business on Cloud for ISVs as well.
The conference was hosted exclusively for accomplished CIO's to facilitate an excellent platform to help gauge organization's readiness for transition to the cloud, identify and address any gaps or areas of concern and develop an actionable cloud strategy and roadmap for the future.
Cloudlytics Helps You analyze Amazon Cloud Logs -
- Amazon S3
- Amazon CloudFront
- Amazon ELB
This Presentation Gives a Basic overview of Cloudlytics Features, Pricing Details, Offers to AWS Activate Customers, AWS Marketplace Info & A Sneak Preview of All the Analytics ( The Reports Section will be covered in Detail in our Next Presentation.)
TechTalks is BlazeClan Technologies' platform provided to all engineers and technology enthusiasts where they can learn and explore new technologies,connect with peers, network with industry experts and discover new opportunities to grow.
The Agenda for this TechTalks is as below:
Overview of Basics & some Debugging Techniques
Peer Communication in Salt
Events, Orchestration & Reactors
Mine
Beacons
Multi-master & Syndic
Basic Salt Cloud
Migrating minimal databases with minimal downtime to AWS RDS, Amazon Redshift and Amazon Aurora
Migration of databases to same and different engines and from on premise to cloud
Schema conversion from Oracle and SQL Server to MySQL and Aurora
The conference was hosted exclusively for accomplished CIO's to facilitate an excellent platform to help gauge organization's readiness for transition to the cloud, identify and address any gaps or areas of concern and develop an actionable cloud strategy and roadmap for the future.
TechTalks is BlazeClan Technologies' platform provided to all engineers and technology enthusiasts where they can learn and explore new technologies,connect with peers, network with industry experts and discover new opportunities to grow.
Hosted on 31st October 2015, the agenda for this TechTalks is as below:
Introduction to UI/ UX
Types/ Approaches to UI/UX Design
What differentiates a Good design from a Bad one
Factors to remember while creating a Good UI/UX design
Effects of UI/ UX on Customer Behaviour
Use cases of increased Customer Satisfaction & Loyalty
This Presentation has been exported from the recent Joint Webinar we had with Amazon Web Services. The overall webinar agenda:
1) AWS CloudFront Solving your Content Distribution needs with respect to Latency, Edge Locatons, POPs, On Demand & Live Streaming.
2) BlazeClan's Solution Stack Architecture Completing the CloudFront Story.
3) How this company with more than 15 Million Downloads benefited using CloudFront.
4) A comparative Study between Just-Dial on CloudFront Vs Rediff.
5) If You're already on CloudFront, You might want to check this Log analyzing Tool Cloudlytics to optimize your End User Performance!
Overview: Big Data Use Cases in Telecom, Retail, Insurance, Automotive, Media & Banking & Finances Industry Segments. How can we map these business challenges to Solutions on AWS Cloud? Let's Find Out!
Big Data is Growing Bigger & Bigger with a prediction of 40 Zeta Bytes of Data by 2020.
> What are the 4 Vs of Big Data?
> Big Data Industry Use Cases:
- Telecommunications
- Retail
- Insurance
- Automotive
- Media
- Banking
Which AWS Components can be mapped to each stage of the Big Data Life Cycle:
AWS S3, AWS EC2, AWS EMR, AWS Redshift, Data Pipelines & many more.
Level 3 Certification: Setting up Sumo Logic - Oct 2018Sumo Logic
Get Certified as a Sumo Power Admin!
Designed for Administrators, this course shows you how to set up your data collection according to your organization’s data sources. Best practices around deployment options ensure you choose a deployment that scales as your organization grows. Because metadata is so important to a healthy environment, learn how to design and set up a naming convention that works best for your teams. Use Chef, Puppet or the likes? Learn how to automate your deployment. Test your deployment with simple searches, and learn to take advantage of optimization tools that can help you stay on top of your deployment.
This presentation talks about the Following -
-Working of AWS S3 & CloudFront Logs with respect to
Content Storing and Distribution.
-The hidden potential of your Stored S3 & CloudFront Logs
& Unlocking them with Cloudlytics
-Some of our Reports using Cloudlytics
Check the video embedded after the slideshare for a Live recording of our webinar conducted around this topic.
Your data has value for multiple business functions in your organization. Shorten your time to analytics and take faster, better decisions based on data.
In this session you will learn how you can access your data from a myriad of tools such as multiple EMR clusters, Athena & Redshift.
AWS Public Data Sets: How to Stage Petabytes of Data for Analysis in AWS (WPS...Amazon Web Services
AWS hosts a variety of public data sets that anyone can access for free. Previously, large data sets such as satellite imagery or genomic data have required hours or days to locate, download, customize, and analyze. When data is made publicly available on AWS, anyone can analyze any volume of data without downloading or storing it themselves. In this session, the AWS Open Data Team shares tips and tricks, patterns and anti-patterns, and tools to help you effectively stage your data for analysis in the cloud.
AWS re:Invent 2016: Introduction to Amazon CloudFront (CTD205)Amazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features like HTTP/2 and IPV6 support, pricing, and examples of how customers are using CloudFront.
AWS Webcast - Best Practices for Content Delivery using Amazon CloudFrontAmazon Web Services
Amazon CloudFront offers a simple, cost-effective way to improve the performance, reliability and global reach of your entire website for both static content and the dynamic portions of your site that change for each end user. In this webinar, you will learn some best practices for using Amazon CloudFront to architect a highly reliable and high-performing website. You will also learn how you can use Amazon CloudFront to deliver content securely, how you can customize content based on device or geo, and learn how use can use CloudFront tools such as our reports and analytics to help you continuously optimize your content. If you are an AWS customer, you will also learn some best practices on how you can use Amazon CloudFront to improve delivery of static or dynamic content originating from AWS services such as Amazon S3, Elastic Load Balancing (ELB), or Amazon EC2.
Learning Objectives:
• Best practices for delivering your whole website on Amazon CloudFront
• Best practices to deliver content securely via Amazon CloudFront
• Best practices to deliver content from AWS services such as Amazon S3, Amazon EC2 and Elastic Load Balancing using Amazon CloudFront
Who Should Attend:
• All AWS (S3, EC2, or ELB) customers who have some data transfer to internet
• All Amazon CloudFront customers
Deep Dive on Accelerating Content, APIs, and Applications with Amazon CloudFr...Amazon Web Services
Learn more about AWS Lambda@Edge (https://aws.amazon.com/lambda/edge/) and Amazon CloudFront (https://aws.amazon.com/cloudfront/).
Attend this session to dive deeper into AWS content delivery service and Amazon CloudFront. Learn how you can use CloudFront to accelerate the delivery of your APIs or applications, including content that cannot be cached, to global clients.
SRV206 Getting Started with Amazon CloudFront Content Delivery NetworkAmazon Web Services
Whether you are building an e-commerce site or a business application, security is a key consideration when architecting your website or application. In this session, you will learn more about some of the things CloudFront does behind the scenes to protect the delivery of your content such as OCSP Stapling and Perfect Forward Secrecy. We will also share best practices on how you can use CloudFront to securely deliver content end-to-end, control who accesses your content, how to shield your origins from the Internet, and getting a A+ on SSL labs.
In this session, storage experts will walk you through the object storage offering, Amazon S3, a bulk data repository that can deliver 99.999999999% durability and scale past trillions of objects worldwide. Learn about the different ways you can accelerate data transfer to S3 and get a close look at some of the new tools available for you to secure and manage your data more efficiently. Announced at re:Invent 2016, see how you can use Amazon Athena with S3 to run serverless analytics on your data and as a bonus, walk away with some code snippets to use with S3. Hear AWS customers talk about the solutions they have built with S3 to turn their data into a strategic asset, instead of just a cost center. And bring your toughest questions to our experts on hand and walk away that much smarter on how to use object storage from AWS.
Introducing S3 Batch Operations: Managing Billions of Objects in Amazon S3 at...Amazon Web Services
Amazon S3’s newest management feature S3 Batch Operations makes it simple to manage billions of objects with a single API request or a few clicks in the S3 Management Console. With this new feature, customers can change object properties and execute core storage management tasks across any number of their objects stored in Amazon S3. S3 Batch Operations include: copying objects between buckets, replacing tag sets, modifying access controls, applying retention dates, and restoring archived objects from Amazon Glacier. Customers can also use S3 Batch Operations to invoke AWS Lambda functions to execute more complex operations. Attend this session to learn more about S3 Batch Operations and how it can save up to 90% of time spent on managing your S3 objects at scale.
Deep Dive on Amazon S3: Manage Operations Across Amazon S3 Objects at Scale (...Amazon Web Services
As your data stores grow, managing and operating on your stored objects becomes increasingly difficult to scale. In this session, AWS experts demonstrate Amazon S3 features you can use to perform and manage operations across any number of objects, from hundreds to billions, stored in Amazon S3. Learn how to monitor performance, ensure compliance, automate actions, and optimize storage across all your Amazon S3 objects. We also provide relevant use cases that demonstrate the full range of Amazon S3 capabilities and options, such as copying objects across buckets to create development environments, restricting access to sensitive data, or restoring many objects from Amazon Glacier.
"How to" Webinar: Sending Data to Sumo LogicSumo Logic
Ready to send your data to Sumo Logic? Learn the details of data collection, including:
- Installed versus Hosted Collectors
- Deployment Options and Best Practices
- Creating your Sources
- Processing Rules
- Local File Configuration Management
- Collector Management API
** This webinar is intended for Administrators with access to create Data Collectors.
(STG206) Using Amazon CloudFront For Your Websites & AppsAmazon Web Services
"Amazon CloudFront, the AWS Content Delivery Network (CDN), can be used to deliver your entire website, including dynamic, static, streaming, and interactive content using a global network of edge locations.
In this technical session, learn directly from CloudFront engineers on how you can improve the performance, availability, and cacheability of your website or application. Several topics will be explored in a series of flash talks including: Best Practices for Setting up Your Origin, How to Gain Visibility into Your Distribution Using Real-Time Metrics & Analytics, How to Improve Cacheability, and How to Test Your Configuration. This session assumes a working knowledge of CDN."
Using AWS CloudTrail to Enhance Governance and Compliance of Amazon S3 - DEV3...Amazon Web Services
As organizations move their workloads to the cloud, companies must take steps to protect and audit their private and confidential information. This session focuses on Amazon S3 best practices and using AWS CloudTrail Data Events to help better protect data residing within Amazon S3. The session includes a demonstration to show how CloudTrail, in combination with other AWS services, can help with Amazon S3 governance and compliance requirements.
Similar to Cloudlytics Reporting: Analyze Amazon CloudFront, S3 & ELB Logs - Part 2 (20)
2019 has brought great success and pride for Blazeclan in most of its endeavors, ranging from the influx of new projects and growing user engagement.
We began as a product-based company with a team of 4 people, gradually evolving from being a product company into a renowned cloud service provider. It helped us grow up to a strength of over 430 people.
Hence, here are some highlights of 2019 reflecting the milestones, we achieved.
Running your infrastructure on AWS brings you various benefits. However, it also brings in a different set of Service Management Challenges.
With our Managed Services offering we help you running your AWS infrastructure in a highly optimized, secure & reliable way.
An Introduction to the Speakers & What BlazeClan as an AWS Advanced Consulting Partners does and how it has Evolved. Varoon, Our Solution Architect, Specializing on Amazon Redshift, Talks about the Key differentiators of Amazon Redshift. Learn why & how Exactly Redshift can optimize your Time and Efforts & reduce costs by 1/10th the cost of a traditional warehouse solution. A Demo of Amazon Redshift in action, processing 2billion records in a matter of seconds! A casestudy of one of our products, Cloudlytics, and how it extensively user Amazon Redshift.
We had conducted a webinar on Amazon Redshift, you can also view the Video of the Webinar along with the Q & A at the end of the Slideshare.
What are the various testing facilities that we offer to our clients during Cloud migration or Adoption. The three types of testing discussed here are Load testing, Availability testing & Vulnerability or Security Testing. Description of these types of testing along with detailed solution Architectural diagrams using Amazon Web Services Elements have been spoken about. Also a list of what major activities are present in each type of testing is also included in this presentation.
This Presentation is a call out to all in the Media Industry. We at Blazeclan have developed a complete Solution Stack powered by Amazon Web Services Elements designed to solve all your major Technology Challenges once your videos are created. We have talked about challenges and how we solve them in the following -
- Storage and Data Transfer
- Live Streaming
- Content Transcoding
- Content Distribution
- Usage Pattern Analysis
We have also spoken about how Blazeclan's feature product Cloudlytics can help in the entire content delivery cycle.
This was presented by Supratik Ghatak, Co-Founder Blazeclan, at the AWS Summit Mumbai 2013. CIO pain points, cloud migration reasons and strategies are the key focus of this presentation. CIOs and CTOs can gain insights into various ways of leveraging the AWS cloud. The presentation also talks about the priority areas for CIOs & CTOs to look at while using the cloud as well as how to plan their strategies around AWS cloud. Further case studies are depicted that show how organization
can benefit from AWS Cloud.
Anuj Singh Kanyal from BlazeClan technologies presents an overview of HTML5 and PhoneGap & how the next generation of web/mobile computing is going to change.
There are many questions on what are the best steps and ways to migrate to the cloud better. Enterprises need to have specific steps to follow when migrating to the cloud.
In this solution, we identify those specific steps and processes and how it can be adapted best.
To know more, please get in touch with us at info@blazeclan.com
More from Blazeclan Technologies Private Limited (11)
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. See How the Globe is Viewing Your Web Content
• Country & Edge Location Traffic
• Analyze Logs for Amazon CloudFront Web,
RTMP Distributions & S3
• Browser, OS & HTTP Stats
• Heat Maps – Success, Partial & Failed
• S3 Stem Browser
Track Global Footprints of End Users viewing Content & where
they are located across the world, with Country wise or Edge
Location wise Data for your AWS S3 & CloudFront Logs.
Hover over Heat Maps to know exactly how much data
transfer & requests are successfully or partially rendered &
which failed completely! Further You can drill down to get
details on Browsers, OS & HTTP Status Codes for all Content.
The S3 Stem Browser Feature allows you to pick & choose
specific folders of Objects stored in your S3 buckets or
delivered using Amazon CloudFront Downloads, Streaming
Distributions which gives you all drilldowns for selected
content.
Start Your FREE Trial
GEO TRACKER
Read how Mr.Cheer
used Geographic
Data Transfer Status – Success, Partial & Failed
3. See How the Globe is Viewing Your Web Content
Browser & OS Stats
Read how Mr.Cheer
used Geographic
GEO TRACKER
• Country & Edge Location Traffic
• Analyze Logs for Amazon CloudFront Web,
RTMP Distributions & S3
• Browser, OS & HTTP Stats
• Heat Maps – Success, Partial & Failed
• S3 Stem Browser
Track Global Footprints of End Users viewing Content & where
they are located across the world, with Country wise or Edge
Location wise Data for your AWS S3 & CloudFront Logs.
Hover over Heat Maps to know exactly how much data
transfer & requests are successfully or partially rendered &
which failed completely! Further You can drill down to get
details on Browsers, OS & HTTP Status Codes for all Content.
The S3 Stem Browser Feature allows you to pick & choose
specific folders of Objects stored in your S3 buckets or
delivered using Amazon CloudFront Downloads, Streaming
Distributions which gives you all drilldowns for selected
content.
Start Your FREE Trial
4. End to End Drill Down for all IPs Accessing Your Web Content
• IP Drill Down for Location & Downloads
• Track Browser, OS, HTTP Status & Referral
• Sort according to IP & Countries
• Track Potential IP Threats
IP TRACKER
IP Details Based on Country with Drilldowns
Monitor Your End Users by understanding their Access
patterns for OS, Browsers & Referrals for Effective S3
Analytics & CloudFront Analytics.
IP Drill Down to locate Country, City, Total Data Downloaded
& Requests served.
IP & Country wise Sorting for all IPs for different End Points
of Your Amazon CloudFront & S3 Content.
Read how Mr.Cheer
used IP Tracker
Start Your FREE Trial
5. IP TRACKER
OS, HTTP Status & Referral Tracking
Read how Mr.Cheer
used IP Tracker
End to End Drill Down for all IPs Accessing Your Web Content
• IP Drill Down for Location & Downloads
• Track Browser, OS, HTTP Status & Referral
• Sort according to IP & Countries
• Track Potential IP Threats
Monitor Your End Users by understanding their Access
patterns for OS, Browsers & Referrals for Effective S3
Analytics & CloudFront Analytics.
IP Drill Down to locate Country, City, Total Data Downloaded
& Requests served.
IP & Country wise Sorting for all IPs for different End Points
of Your Amazon CloudFront & S3 Content.
Start Your FREE Trial
6. Track Spikes in Content Popularity across any Date Range
• Timeline for All S3 & CloudFront Logging
• Zoom in Functionality
• Specific Stem Selection
TIMELINE CHECKER
Select Any Date Range & Stem
Track CloudFront Distribution & S3 Endpoints that you want
to get Timelines for & select any Custom Date Range for
Your CloudFront & S3 Content.
Select Specific Stems like Browser, Country, Referrer, Edge
Locations & many more to see the request counts & Data
Transfer.
Zoom in to specific Date ranges for a better day to day
tracking for your Log Buckets.
Read how Mr.Cheer
used Timeline
Start Your FREE Trial
7. Track Spikes in Content Popularity across any Date Range
Read how Mr.Cheer
used Timeline
Zoom in Functionality
TIMELINE CHECKER
• Timeline for All S3 & CloudFront Logging
• Zoom in Functionality
• Specific Stem Selection
Track CloudFront Distribution & S3 Endpoints that you want
to get Timelines for & select any Custom Date Range for
Your CloudFront & S3 Content.
Select Specific Stems like Browser, Country, Referrer, Edge
Locations & many more to see the request counts & Data
Transfer.
Zoom in to specific Date ranges for a better day to day
tracking for your Log Buckets.
Start Your FREE Trial
8. Track CloudFront Costs & Optimize Price Class
CLOUDFRONT COST ANALYZER
Read how Mr.Cheer
used Cost Analyzer
• CloudFront Daily Cost Analysis
• Sort & Search Required Edge Locations
• Price Class Optimization
Calculate CloudFront Daily Costs & see which Edge
Locations are Serving more Data & Requests.
Sort & Search on Edge Locations and AWS Regions.
Optimize CloudFront Costs with Selecting the Appropriate
Price Class for Distributing Static & Dynamic Content.
Break Up for Total Data Transfer, Requests Served, Data Cost
& Request Cost
Sort & Search on AWS Regions
Start Your FREE Trial
9. Track CloudFront Costs & Optimize Price Class
CLOUDFRONT COST ANALYZER
Read how Mr.Cheer
used Cost Analyzer
Sort & Search on Edge Locations
• CloudFront Daily Cost Analysis
• Sort & Search Required Edge Locations
• Price Class Optimization
Calculate CloudFront Daily Costs & see which Edge
Locations are Serving more Data & Requests.
Sort & Search on Edge Locations and AWS Regions.
Optimize CloudFront Costs with Selecting the Appropriate
Price Class for Distributing Static & Dynamic Content.
Break Up for Total Data Transfer, Requests Served, Data Cost
& Request Cost
Start Your FREE Trial
10. Read how Mr.Cheer
Used ELB Analyzer
Status, Processing & Traffic Timelines
• HTTP Status Code Monitoring
• Tracking Latency Cycle for ELBs
• Monitoring IPs & their interaction
• Geographic Plotting of Traffic
Track HTTP Status Codes to check different error codes like
4xx, 2xx, 5xx & more, to check for unhealthy instances.
Detailed Latency Report to track Request Processing,
Backend Processing, Response Processing & respective
Timeline charts.
Traffic Reports highlighting backend IPs requesting &
sending data with Hit counts; useful for security in a VPC
environment.
Geo Heat Mapping of Traffic with Hit Counts & Data Sent in
Bytes for an overall ELB & Instance Health monitoring.
Detailed Log Analytics to Monitor the Health of Your Application backend
AWS ELB ANALYZER
Start Your FREE Trial
11. Read how Mr.Cheer
Used ELB Analyzer
Geo Heat Mapping
• HTTP Status Code Monitoring
• Tracking Latency Cycle for ELBs
• Monitoring IPs & their interaction
• Geographic Plotting of Traffic
Track HTTP Status Codes to check different error codes like
4xx, 2xx, 5xx & more, to check for unhealthy instances.
Detailed Latency Report to track Request Processing,
Backend Processing, Response Processing & respective
Timeline charts.
Traffic Reports highlighting backend IPs requesting &
sending data with Hit counts; useful for security in a VPC
environment.
Geo Heat Mapping of Traffic with Hit Counts & Data Sent in
Bytes for an overall ELB & Instance Health monitoring.
Detailed Log Analytics to Monitor the Health of Your Application backend
AWS ELB ANALYZER
Start Your FREE Trial
12. Complete Your CloudFront, S3 & ELB Log Analysis with Custom Reports
ARRAY OF CUSTOM FUNCTIONS
Custom Matrices
Create Your Custom Log Analytics Reports by selecting only
the Columns of Data you want, select folders from S3 Stem
& even add custom filters.
Your Most Popular Content, Countries, Devices & OS can be
tracked using the Popular Report for Total Requests & Data
Transfer.
CloudFront Spam Report allows you to monitor unusual
data transfer activities, tracking IPs for Potential Spam
Threats.
Additional Benefits of Reporting:
• CSV & PDFs for Sharing
• Multi Tenant Feature
• Weekly Emails Stats of Reports
• Custom Filters & Stem Browsers
Read how Mr.Cheer
Used Custom Reports
START Your FREE Trial
13. Top 10 & Spam Alerts
START Your FREE Trial
Additional Benefits of Reporting:
• CSV & PDFs for Sharing
• Multi Tenant Feature
• Weekly Emails Stats of Reports
• Custom Filters & Stem Browsers
Complete Your CloudFront, S3 & ELB Log Analysis with Custom Reports
ARRAY OF CUSTOM FUNCTIONS
Create Your Custom Log Analytics Reports by selecting only
the Columns of Data you want, select folders from S3 Stem
& even add custom filters.
Your Most Popular Content, Countries, Devices & OS can be
tracked using the Popular Report for Total Requests & Data
Transfer.
CloudFront Spam Report allows you to monitor unusual
data transfer activities, tracking IPs for Potential Spam
Threats.
Read how Mr.Cheer
Used Custom Reports
14. 14
Follow Us on
Blog: http://blog.cloudlytics.com
Web Link:https://www.cloudlytics.com/
Contact: support@cloudlytics.com
Cloudlytics Analytics for
Amazon S3, CloudFront
& ELB Logs
Thanks For
Watching!