This document discusses multicloud strategies and the benefits of using a hybrid multicloud approach. It notes that data sovereignty and network performance are key issues for critical applications in public clouds. A hybrid multicloud model using both public cloud providers and privately owned datacenters can address these issues. The document advocates using edge datacenters co-located with public clouds to get the benefits of data sovereignty, performance, security and existing investments while also connecting to multiple public clouds. It also discusses how autonomous databases using machine learning can help defeat issues of human error in database management across hybrid multiclouds.
IDC Multicloud 2019 - Conference Milano , Oracle speech
1. Multicloud : insights from
Europe and impacts on Italy
Riccardo Romani
EMEA South Solution Engineering Manager
Systems
Riccardo Iommi
Italy Solution Engineering Manager
Systems
2. Multicloud Definition:
“Multi-cloud computing commonly refers to the use of
multiple public cloud providers, and is more of a general
approach to managing and paying for cloud services in
the way that seems best for a given organization.”
3. So this is what is needed to do Multi-cloud…right?
4. “Companies with
connections ≥30
Mbps are just 31.7%
of the total.
In other words, only
one company in three
is equipped with ultra-
wide band
connections”
50 ms
Network Performance Matters
Modern digital use
cases require extreme low
network latency & high reliability
& bandwidth
Autonomous
Driving:
Virtual Reality:
Factory
Automation:
Remote Robotics:
Smart Grid:
Serious Gaming:
10ms, 700 Mbps
1 ms, 1 Gbps
10 ms, 1Mbps
1 ms, 100 Mbps
20 ms, 1500 Kbps
1 ms, 1 Gbps
6. Human Error Matters
“Amazon’s massive AWS
outage was caused by human
error”
“One incorrect command and the whole
internet suffers.”
Recode Magazine
“April 2019 Google Outages
Due to Human Error”
“It turns out that the reason Google’s
been suffering outages to it’s index may
in fact be human error”
Search Engine Journal
“Firewall misconfiguration permitted
commands to reach and be executed by
Capital One's cloud-based storage servers.”
“The Capital One hack exposed
the personal data of 106 million
customers”
Market realist
8. Public Cloud:
Data Sovereignty issues.
Handling critical applications here is still hard
since Network performance remains an issue
Private Cloud :
Data is stored and managed
by means of local infrastructures.
Critical Applications are well placed here.
Multi-cloud is Hybrid : Private and Public
especially in case of many Public Clouds
9. Privately owned Datacenter Benefits :
Data Sovereignty
Performance
Existing Investments
Security
Multi-cloud is Hybrid
IBX Datacenter benefits:
Edge Datacenters with the fastest network link
to any Cloud Service Provider
and are close to Internet exchange points.
Highest levels of physical
and logical security.
Multi-cloud is Hybrid, Interconnected
10. Privately owned Datacenter Benefits:
Data Sovereignty
Performance
Existing Investments
Security
Multi-cloud is Hybrid, InterconnectedMulti-cloud is Hybrid, Interconnected and Co-located
Moving Critical Workloads to IBX Datacenter
Benefits:
Immediate access to all Public Clouds
Data Sovereignty fully enforced
No need to rewrite applications
Preserving investments and know how
Higher Security
12. 12
Defeating Human Error
“Data and AI are the ingredients for innovation that can help us to find
solutions to societal challenges, from health to farming, from security to
manufacturing In order to release that potential we have to find our European
way, balancing the flow and wide use of data while preserving high privacy,
security, safety and ethical standards.”
Political Guidelines For The Next European Commission
2019-2024
13. Years of human
experience in database
tuning and maintenance
tasks was used
as the source
of information to train
a supervised machine
learning model.
The model was moved
into Exadata: a
converged infrastructure
able to manage the huge
amount and variety of
data coming from
different types of use
cases – all done
in real time.
First algorithms gone live
focused on self-repairing
and automatically
identifying errors,
performed root cause
analysis, and provided
preventative actions
to solve operations
problems with zero
human intervention.
How Autonomous Database Was Born
Data science, algorithms, and domain expertise together
14. What Autonomous Database is doing on your behalf
Self-Repairing
Machine Learning automatically
detects and applies corrective
actions to ensure nonstop access to
data: no more than 30 minutes of
downtime a year.
Self-Driving
Auto-monitoring, self-tuning
capabilities
Machine Learning changing
performances as the business
requires.
Self-Securing
Protection from malicious internal
and external attacks.
Machine Learning detecting
abnormal patterns
.
15. Autonomous is a Unified Data Platform across Multicloud
Private Cloud Oracle Public CloudMany Public Clouds
https://multicloud/my-database/autonomousDB
16. 16
Wrapping up…
Many Public Cloud
Providers are now
accessible with low
latency as they were
locally deployed in
Milan IBX
Datacenter.
This is the
“Cloud Adjacent”
Architecture
Artificial Intelligence
applied to Data
Infrastructure is
providing
automation
in operations and
reducing Human
Error.
This is the
“Autonomous
Database”
17. Exadata sits at the core of “Autonomous” concept by Oracle
Exadata Runs The
Autonomous Private Cloud
Exadata Runs The
Autonomous Public Cloud
Exadata Runs The
Autonomous Cloud At
Customer