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Opinion


HOW AUTOMATING DISTRIBUTED CLOUD INFRASTRUCTURE CHANGES IT




AS IT ENVIRONMENTS BECOME INCREASINGLY DISTRIBUTED AND COMPLEX, ORGANIZATIONS
ARE EXPLORING HOW AUTOMATION CAN ADDRESS THEIR EVOLVING IT OPERATIONS AND
INFRASTRUCTURE NEEDS.

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By
 * Scott Sinclair, Practice Director

Published: 07 Sep 2022

When businesses run on data, IT operations and infrastructure capabilities
directly influence revenue opportunities.

In a recent survey of IT decision-makers, Enterprise Strategy Group (ESG) found
that 74% of organizations with mature or in-process digital transformation
initiatives had an active IT transformation project underway, and 65% of IT
decision-makers identified infrastructure modernization as a top five priority.



Public cloud infrastructure adoption plays a significant role in infrastructure
modernization. But IT environments are increasingly distributed, spanning
multiple edge and remote locations, data centers, private cloud locations and
public cloud infrastructure providers. This disaggregated state of contemporary
IT and application environments is known as the distributed cloud.

As IT infrastructure environments become more distributed, complexity mounts.
According to ESG research, 64% of IT decision-makers surveyed agree that IT
infrastructure complexity slows IT operations and digital initiatives.

The pressure that infrastructure complexity places on IT execution reduces the
likelihood that IT teams can accelerate operations to meet business and
development team demands. More than two-thirds of surveyed IT decision-makers
said they are under pressure to accelerate IT infrastructure provisioning and
deployment to support developers and line-of-business teams.

In an effort to accelerate operations, infrastructure automation initiatives are
becoming more prevalent, especially for on-premises infrastructure. In response
to this interest among customers, IT infrastructure vendors are increasingly
integrating intelligence and automation into their systems and tools. Additional
focus, however, must be applied to how easily IT teams can deploy, manage and
upgrade that infrastructure within an organization's automation practices.

For decades, nearly every systems vendor vied for the title of "easiest to use,"
but the goal now should be "easiest to automate." Infrastructure automation is
still too complex: In recent ESG research, 37% of organizations reported
problematic skills shortages in IT orchestration and automation. Automation is
put in place to alleviate those skills shortages -- not add to them.

When evaluating new infrastructure systems, organizations must first ensure that
selected tools can support the performance, security and availability needs of
their application environments. In addition, the following three considerations
should be part of the evaluation process:

 1. Integrated intelligence. When it comes to new systems, the market is awash
    with terms like smart and intelligent. The key is to identify which
    decisions and activities the system can offload from architects, IT admins
    and users. How quickly can new systems be deployed and upgraded? Can they
    stay optimized automatically as the environment evolves?
 2. Declarative APIs. Integrated intelligence is valuable, but to maximize that
    value, APIs must be designed to simplify automation implementation.
    Declarative APIs provide the state that the system should create but do not
    require developers to specify all the steps necessary to achieve that state.
    Declarative APIs reduce the workload of automation engineers and developers
    and make automation easier to maintain as infrastructure environments
    evolve. Vendors should also provide bindings for preferred programming
    languages and software developer kits, as well as integrations with
    automation tools, such as Terraform and Ansible.
 3. APIs tailored to personas. The needs of IT admins tasked with deploying,
    configuring and maintaining infrastructure differ from those of developers
    or app owners who use that infrastructure. APIs that cater to different
    personas simplify automation activities and reduce the risks associated with
    scaling out automation practices to additional teams. An example of a
    declarative API that can be tailored to individual personas is Pure
    Storage's Pure Fusion, which offers tools for storage provider and storage
    consumer personas.

Establishing and scaling automation practices can be a complex process. Don't
overlook the role IT infrastructure selection plays in simplifying IT
infrastructure automation rollouts.

ESG is a division of TechTarget.



DIG DEEPER ON SYSTEMS AUTOMATION AND ORCHESTRATION

 * WHAT TO CONSIDER IN SCALING AUTOMATION FOR DISTRIBUTED CLOUD
   
   
   By: Scott Sinclair

 * CLOUD-NATIVE MODERNIZATION IS ON THE RISE
   
   
   By: Paul Nashawaty

 * THE DATA TEAM-IT OPERATIONS DIVIDE DELAYS DATA DELIVERY
   
   
   By: Emily Mell

 * AUTOMATION BRINGS NETOPS TO THE NEXT LEVEL
   
   
   By: Jennifer English

Sponsored News
 * Simplify Cloud Migrations to Avoid Refactoring and Repatriation –Dell
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