BENEFITS AND CHALLENGES WITH CLOUD COMPUTING Michael Holck Vice - - PowerPoint PPT Presentation

benefits and challenges with cloud computing
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BENEFITS AND CHALLENGES WITH CLOUD COMPUTING Michael Holck Vice - - PowerPoint PPT Presentation

BENEFITS AND CHALLENGES WITH CLOUD COMPUTING Michael Holck Vice President, Software Engineering ESAC Inc. Benefits of Cloud Computing - Scalability In the cloud model you pay for what you use so you can start small and scale quickly


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Michael Holck Vice President, Software Engineering ESAC Inc.

BENEFITS AND CHALLENGES WITH CLOUD COMPUTING

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§ In the cloud model you pay for what you use so you can start small and scale quickly

§ Nearly infinite scalability § Both Vertical and Horizontal scalability options

Benefits of Cloud Computing - Scalability

§ Cloud providers have a global presence

§ You can provide resources close to users anywhere in the world § Reduces latency for access to data

GCP Regions as of October 2019

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§ Cloud providers provide physical presence in multiple countries and multiple regions within countries

§ There are also multiple Availability Zones (AZ) in each region § Allows for very high fault tolerance in case of outage

§ Requires proper configuration

§ Cloud data centers provide physical redundancy

§ Power generators in case of long-term power outage § Multiple internet providers § Redundant HVAC systems

Benefits of Cloud Computing – High Availability

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§ To achieve the benefits of scalability and high availability you need to configure things properly

§ Requires knowledge of the Cloud provider platform and network configuration § Need to make use of multiple availability zones and possibly regions as well § Compute instances may require load balancing § Databases should be setup with at least a single master, and another read replica in different AZs § Make use of auto scaling capabilities

Challenges of Cloud Computing – High Availability

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§ To achieve the benefits of reducing data latency you need to know where your users are located

§ Need to make use of either servers in those regions or Content Delivery Network (CDN) nodes

Challenges of Cloud Computing – Data Latency

AWS CDN Locations as of December 2019

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§ Cloud object storage provides very large storage ability

§ Amazon Web Services (AWS) S3 or Google Cloud Platform (GCP) Storage

§ Organized using buckets

§ Single object limited to 5 TB for both GCP and AWS § Unlimited Objects allowed § Automatically replicated across AZs or regions for high availability

§ Depending on storage class and configuration

§ Structured Data in SQL

§ Very large single instance disk sizes

§ Single table size up to 16 TB

§ Can setup clusters for increased size and scalability

Benefits of Cloud Computing – Nearly Limitless Storage

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§ Cloud providers charge you only for what you use as far as computing power § You are charged per minute or less depending on the provider for uptime on the compute instances

§ A very large instance might cost several thousand dollars a month but if you only keep it up for a few hours to perform an analysis it might only cost $20

§ Reserved Instances and Spot Instances can also reduce cost further § Cloud Storage has different cost tiers for long term storage depending on how

  • ften the object is accessed

§ First several GB/month are often free, and costs after that are around $0.03/GB/Month

Benefits of Cloud Computing - Cost

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§ While object storage costs are reasonable on the cloud to maximize cost efficiency you need to know how often your data will be accessed and how quickly needed § Most cloud providers offer multiple tiers of storage where cost to store is less but access costs

Challenges of Cloud Computing – Storage Cost

AWS S3 Storage Class Storage Costs (Per GB) Data Retrieval (Per GB) Access Speed Standard $0.023 $0.00 ms Standard IA $0.0125 $0.01 ms One Zone IA $0.01 $0.01 ms Glacier $0.004 $0.01 1 min – 12 hours Glacier Deep Archive $0.00099 $0.02 12 hours

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§ Because cloud providers only charge for what you use you can save significant money

§ But only if you manage the resources to only run when needed

§ Servers that will always be up like web servers or DB servers you might want to consider reserved instances

§ Pre-purchasing a specific instance type for 1-3 years up front at a savings (~40% for 1 year)

§ Serverless Services

§ Cloud providers offer managed services that are serverless, so you pay per query or access rather than for a server § Ideal for event driven architectures where functions are executed based on a trigger event

Challenges of Cloud Computing – Compute Cost

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§ Spot Instances can save significant cost but need to be well understood

§ Spot instance is unused compute capacity where you can bid for your hourly cost

§ Whenever the compute capacity cost gets to your bid you are given a server § When the price exceeds your target price you will be given a 2-minute interrupt notice

§ For processes that do not need to execute immediately this can save a lot of cost

§ Software process needs to be developed such that it can start wherever it left off § Needs to be able to persist and exit in under 2 minutes § Once your process completes you need to terminate the instance to quit being charged

§ Determining the bid price for a spot instance can be complicated

§ Bid too low and you never get the compute § Bid too high and you will get your resources but will not have saved as much

Challenges of Cloud Computing – Compute Cost

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§ Cloud Provider provides physical security of resources in data centers

§ Facilities are tightly controlled and monitored

§ Data replication and transfer within cloud provider is over private network not

  • ver internet and is automatically encrypted

§ Cloud Provider secures the infrastructure and their managed services

§ Client is still required to secure what is put on the cloud

§ Software, what ports and protocols are open, etc…

§ Infrastructure is compliant with several global and national compliance standards

§ FedRAMP, FISMA, NIST, HIPAA, HITRUST CSF, etc…

Benefits of Cloud Computing - Security

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§ While the infrastructure is secured for you by the cloud provider you are still responsible for what you host on the cloud

§ Compute instances will need to be patched regularly § Compute instances will need to be scanned for malware and vulnerabilities regularly

§ Best to use both public and private subnets within a VPC

§ Only put servers or services that need to be accessed by anyone in public subnets § All other servers or services should be in private subnets

§ Need to restrict specific ports and protocols to all instances

§ Instances in private subnets should only allow traffic from public subnets § Instances in public subnets should limit ports and protocols to the minimum needed

Challenges of Cloud Computing - Security

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§ Reference architecture for NIST based assurance frameworks should be followed

§ Requires multiple VPCs and subnets § Management VPC

§ Logging tools § Scanning Tools § IDS/IDP Tools

Challenges of Cloud Computing - Security

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§ Logging

§ Need to make sure logging is enabled for everything and you are monitoring the logs

§ Intrusion Detection and Prevention (IDS/IDP)

§ Need to enable VPC flow logs to log all network traffic so it can be monitored

§ Continuous Monitoring

§ Need to have a plan and strategy for regularly monitoring the status of the systems § Reviewing system logs, scanning reports, network traffic, application logs, user access

Challenges of Cloud Computing - Security

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§ Backups

§ Need to setup backups for your compute instances and DBs

§ Encryption

§ For sensitive data you need to enable encryption in transit and encryption at rest

§ Some cloud providers enable encryption on storage automatically and some require you to enable it § Can use cloud provider keys or supply your own § Only certain SQL instance types support encryption on each provider

§ Contingency Planning

§ Need to have backups and images that are continuously updated so you can recover from any crashes or data loss § Should conduct contingency planning exercises with the team

Challenges of Cloud Computing - Security

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§ Google BiqQuery

§ Serverless data warehouse that scales to petabyte size § Supports BigQuery ML

§ Enables users to create and execute machine learning models in BigQuery using standard SQL queries

§ Google AutoML

§ Allows you to classify Documents, Images, or Videos according to labels you define § For documents you can train your model to identify a custom set of entities within English language text § For videos you can train your model to follow specific objects in your videos § For images you can train your model to detect and extract multiple objects and provide information about those objects including its position in the image

Benefits of Cloud Computing – Tools and Services

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§ Amazon Athena

§ An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL § Serverless so you only pay per query made § No need for complex extract, transform, and load (ETL) jobs to prepare your data for analysis

§ Amazon EMR

§ Provides a managed Hadoop framework that makes it easy, fast, and cost- effective to process vast amounts of data across dynamically scalable Amazon EC2 instances § EMR notebooks, based on Jupyter notebooks, for ad hoc querying and analysis

Benefits of Cloud Computing – Tools and Services

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§ Amazon Kinesis

§ Makes it easy to collect, process, and analyze real-time, streaming data § Can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk

§ Amazon Rekognition

§ Makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use § Can identify objects, people, text, scenes, and activities in images and videos

Benefits of Cloud Computing – Tools and Services

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§ There are new tools and services being developed and released all the time

§ Keeping up with everything requires time and dedication § Need to follow the cloud providers for announcements § Continuous education is required

Challenges of Cloud Computing – Tools and Services