Enterprise IT is changing, and with it are the ways we manage our data and develop new applications. Infrastructure has become commoditized, while applications have become more strategic to the business, presenting new challenges for organizations to overcome. The solution: DevOps and Data Lifecycle Management.
In this slideshow we'll define the role of DevOps and Data Lifecycle Management within the enterprise and explore how they can transform businesses to enable faster application development, shorter time to market, and dramatic savings in infrastructure.
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2015
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With
applications
playing
a
more
strategic
role
in
day-‐to-‐day
business,
organizations
must
manage
data
in
these
applications
across
the
entire
lifecycle
ever
more
closely.
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2015
ACTIFIO
IT
must
deliver
new
applications
that
have
greater
business
value
and
higher
quality,
while
managing
costs
and
innovation
in
the
face
of
Key
Challenges.
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2015
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CHALLENGE
2
Increasing
Complexity
of
Software
Systems
From
web
to
mobile
to
embedded
to
cloud…
encompassing
social
systems
of
engagement
to
feed
systems
of
record,
performance
demand
with
Big
Data
Analytics
for
business
optimization
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2015
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CHALLENGE
3
Increasingly
Distributed
Teams
with
Multi-‐Sourcing
From
onshore
to
offshore
to
open
source
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2015
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DevOps
is
a
methodology
and
set
of
practices
that
unify
a
team
including
business
leadership,
architecture,
development,
testing,
deployment,
and
operations
to
be
responsible
for
the
creation
and
delivery
of
business
capabilities.
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2015
ACTIFIO
DevOps
must
be
“end
to
end”—
not
merely
encompassing
release
management,
but
a
continuous
delivery
strategy
from
inception
through
to
service
management.
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2015
ACTIFIO
According
to
IDC,
by
the
end
of
2015,
60%
of
CIOs
will
use
DevOps
as
a
primary
tool
to
address
speed
and
sprawl
of
mobile,
cloud,
and
open
source
applications.
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2015
ACTIFIO
Data
Lifecycle
Management
encompasses
data
management
and
quality
from
inception
through
to
leverage
across
apps
and
multi-‐usage
through
the
data
lifecycle
and
to
eventual
decommissioning.
16
24. Full
Lifecycle
Data
Management
DEVELOPMENT
Faster
time-‐to-‐market
through
improved
data
access.
25. Full
Lifecycle
Data
Management
DEVELOPMENT
Faster
time-‐to-‐market
through
improved
data
access.
MANAGEMENT
Better
protection
and
more
control
at
lower
cost.
RESILIENCY
AGILITY MOBILITY
26. Full
Lifecycle
Data
Management
DEVELOPMENT
Faster
time-‐to-‐market
through
improved
data
access.
MANAGEMENT
Better
protection
and
more
control
at
lower
cost.
RESILIENCY
AGILITY MOBILITY
RETIREMENT
More
accessible
archive
through
application
orchestration.
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ACTIFIO
Effective
Data
Lifecycle
Management
involves
coordinating
data
from
architectural
design,
requirements,
software
analysis,
quality,
and
operational
performance,
which
is
key
across
technologies.
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2015
ACTIFIO
Copy
Data
Virtualization
greatly
enables
DevOps
and
Data
Lifecycle
Management,
while
dramatically
increasing
business
agility.
19
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2015
ACTIFIO
The
benefits
of
adopting
DevOps
and
full
data
lifecycle
management
enabled
by
Copy
Data
Virtualization
create
a
powerful
business
impact.
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2015
ACTIFIO 24
Learn
More
about
How
Actifio
Can
Transform
Your
Organization…
Development
and
Test
Data
Management:
Achieving
Breakthrough
Savings
in
Time
and
Expense
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