Top 10 key areas to learn in cloud in 2020

Top 10 key areas to learn in Cloud in 2020

Instructor Introduction
• Joseph Holbrook
• Consulting Blockchain Solutions Architect/Trainer/Speaker out of Jacksonville, FL
• Certified Blockchain Solutions Architect (CBSA)
• Certified Blockchain Expert (CBE)
• Certified Bitcoin Professional (CBP)
• Certified Blockchain Developer Hyperledger (CBDH)
• Certified Corda Developer
• Certified Google Cloud Platform Cloud Architect
• AWS Professional Services Partner
• Certified AWS Solutions Architect
• Brocade Distinguished Architect (BDA) 2013
• EMC Proven Professional – Expert – Cloud (EMCCE)
• Published Course Author on Pearson Safari, Udemy, Linkedin Learning
• Author “Architecting Enterprise Blockchain Solutions” – Wiley Jan. 2020
• Prior US Navy Veteran

Webinar Objectives
By the end of this webinar you should be able to understand
 Understand the Top 10 key areas to learn in Cloud in 2020
 Demand for Skills such as AI, Blockchain, Python, Cloud Native and More.
 Resources where to find out more information

Did Your Know?
 According to Global Knowledge’s “15 Top-Paying IT Certifications for 2020”
annual salary survey that a GCP Cloud Architect was the highest paid cloud
professional at $175,761 and an AWS Solutions Architect – Associate was
the second highest paid cloud professionals.
 Kubernetes has experience has skyrocketed according to Indeed which
states that between October 2015 and October 2019, the share of
Kubernetes jobs per million grew by 2,141% while the share of Kubernetes
job searches increased 2,125%.

Did you Know?
 LinkedIn Learning’s annual report “The Skills Companies Need Most in
2020—And How to Learn Them stated that Blockchain is the number one
hard skill.
 According to the 2019 Stack Overflow Developer Survey, Python is the
fastest-growing language which recently overtook Java for demand.
 AI, ML and UX are highly sought after skills and the demand for these
professionals are scaling significantly

Number 10 – Data Science/Big Data

Data Science and Big Data
• Demand for data science professionals is growing, as organizations maintain themselves
through data-driven insights.
• Indeed showed a 29% increase in demand for data scientists year over year and a 344%
increase since 2013.
• Main Skillsets are Machine Learning, Data Mining, Data Analytics, Python, R are just a
few.

• Demand is high for experienced professionals who devise methods for deriving value
from data.
• Wages according to Glassdoor are taking home $95,459 in median annual pay.
• Titles are a big confusing and overlapping perhaps – Data Scientist, Data Engineer,
Quantative Analyst, Data Analyst
• 84% of enterprises have launched advanced analytics and Big Data initiatives to
accelerate their decision-making and bring greater accuracy (LinkedIn)

Number 9 - Python

Demand for great developers is clearly there.
• One of the largest online developer communities,
StackOverflow in their 2019 survey of the most
sought-after programming languages shed some light
on what to expect in the coming year
• Demand for Data Warehouse, Enterprise Integration
and Data Science
StackOverflow

Python
• According to the 2019 Stack Overflow Developer Survey, Python is the fastest-growing
language which recently overtook Java for demand
• According to Indeed, Python is the most demanding programming language in the USA
job market with the highest 74,000 job postings in January 2020.
• Python professional salary averages $120,000 per year.

Number 8 – Site Recovery Engineering

What is SRE?
 Site Recover Engineering creates a bridge between development and operations.
 Availability, latency, performance, efficiency, change management, monitoring,
emergency response, and capacity planning.”
 Software Engineering specialization

What is the difference between DevOps and SRE?
 The main difference between DevOps and SRE is that SRE is more operationally driven
from the top-down, and it's governed by the developer or development team, instead
of the operations team.

Number 07 – Cloud Security

Cloud Security
 Cloud Security is a shared responsibility however, enterprises need specialists.
 Security Engineers provides cyber security expertise in the analysis, assessment,
development, and evaluation of security solutions and architectures to secure
applications, operating systems, databases, and network
 High demand for IT security forensics experts who can detect breaches and help their
employers prevent and respond to attacks.

 Common roles that maintain and manage cloud security are IT security specialist,
Information Security Analyst, Security Managers, Network Security Engineer, Security
Engineer, Cloud Security Engineer and Application Security Engineer
 According to recruiter firm RHI, Information Systems Security Managers make the most
with an average salary of about $140,000.

DevOps and Security (DevSecOps)
 Security often is an afterthought in the development process
 Rolling security processes into the DevOps discussion is critical
 DevSecOps approach incorporates code testing, automates builds, releases software
and adds security automation to the DevOps process.
 IT delivers necessary software updates while detecting and fixing potential security
issues

DevOps
- Atlassian

DevSecOps Cycle
- Larry Maccherone

Number 06 - Blockchain

Enterprise Blockchain is now a water cooler subject
• Blockchain is now more than just Bitcoin, Ethereum and Cryptos
• LinkedIn Learning’s annual report “The Skills Companies Need Most in 2020—And How
to Learn Them stated that Blockchain is the number one hard skill.
• Blockchain such as Hyperledger Fabric, Quorum and Corda are enterprise grade.

Enterprise Blockchain is now a water cooler subject
• Blockchain Development are the most sought after roles.
• Python, Solidity, JavaScript, Rust and more
• Developers that know how to integrate enterprise applications can command over
$200,000 per year.
• Companies such as MS, Facebook, Google, Walmart, BoFA, US Government all are
looking for blockchain experts.

Number 05- Google Cloud Platform (GCP)

Google Cloud Platform (GCP)
• Google Cloud Platform is now becoming the hottest in demand cloud platform skills.
• According to Global Knowledge’s “15 Top-Paying IT Certifications for 2020” annual salary
survey that a GCP Cloud Architect was the highest paid cloud professional at $175,761
• Demand for Cloud Architects, Data Engineers, Developers and DevOps

Google Cloud Platform (GCP)
• Google Cloud Platform from a market
perspective is number 3 but gaining
speed.
• Services in Demand – Compute
Engine, App Engine, GKE, ML
Services, DevOps Services and
Tensorflow.

Number 04 – AWS

AWS is still the leader in demand for skills
• AWS Certified Solutions Architect-Associate has
been listed in surveys as being one the most
valuable cloud provider certifications.
• AWS has been the leader in IaaS and will
continue to be for the forseable future. AWS

AWS is still the leader in demand for skills
• AWS Skillsets that are really needed are IaaC, DevOps, Cloud Native, AI and more
• Services to know - EC2, EBS, Lambda, CloudFront, Kinesis, RDS and S3

Number 03 – AI/ML

AI/ML
• Artificial Intelligence is a broader umbrella under which Machine Learning (ML) and
Deep Learning (DL) fall under
• AI systems rely on artificial neural networks (ANNs), which try to simulate the way
the brain works in order to learn.
• The global machine learning market is expected to grow from $1.41B in 2017 to
$8.81B by 2022, a 44.1% compound annual growth rate (CAGR).

AI/ML
• According to Indeed the average salary for a machine learning engineer is $140,907
per year in the United States.
• Python, Java, R and C++, statistics, data modeling and evaluation, deep learning,
machine learning algorithms, software engineering and system design.
• Apache Spark and Tensorflow are specializations in demand. GCP cloud technologies
such as GCP Cloud TPU, Cloud ML, AI Hub

Number 02 – Cloud Native

Cloud Native skills are ever increasing becoming the “hottest” skillset.
 Cloud native is a development term that is used to describe container-based
environments and services (technologies).
 Cloud-native technologies are used to develop applications built with services packaged
in containers which are deployed as microservices.
 These cloud native technologies are managed on elastic infrastructure (Cloud) through
agile DevOps processes such as continuous delivery workflows. (CI/CD Pipelines)

Concepts of DevOps

• Four Axes of DevOps
Culture – Processes, People, and Technologies influence each other
Process – Structure to meet the needs of business and employees
People – Provide knowledge, skills, process capabilities
Technology – Tools and technologies used effectively for communication and operational efficiencies.

Organizations and DevOps
• Organizations that employ continuous deployment for example should benefit from the
ability of users to give quick feedback on new deployments.
• CD is an elaborate automation of the build and testing processes with manual decisions.
• The real value comes in when organizations can “automate”

Number 01 – Kubernetes

Kubernetes /Containers
• Kubernetes, which in Greek means pilot.
• Kubernetes (K8s) is an open-source system for automating deployment, scaling, and
management of containerized applications.
• Using cloud provider services such as AWS Elastic Container Service or GCP
Kubernetes Engine. Extend your datacenter to the Cloud.

Kubernetes
• Kubernetes makes it easy to deploy and operate
applications in a microservice architecture.
• It does so by creating an abstraction layer on top of a group
of hosts, so that development teams can deploy their
applications and let Kubernetes manage your containers.
• Cloud and Kubernetes Skills? You will see interest!

Kubernetes
• Docker and Kubernetes has fundamentally changed the way DevOps teams now create,
manage, and operate your container-based applications and security is now at the
forefront
• Kubernetes skills are some of the highest demand skills pay a national average of
$144,648 according to Glassdoor.
• Kubernetes is a skill for a job and not always the job.

Putting it all Together

- Training your team
• Training your team to understand some of these of these in demand skills is one of the
best ways to mitigate turnover but also provide value to the organization.
• Quickstart has numerous training options available.

Putting it all together
 Demand for Cloud Skills is ever present
 Kubernetes, DevSecOps, Cloud Native are just a few development areas to focus on
 AWS and GCP are two in demand cloud provider certifications to obtain this year.
 Python is a skill that developers can learn and grow with.

Thank you and
Questions

Top 10 key areas to learn in cloud in 2020

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