IT Automation: Explained with Use Cases, Pros, & Cons
Information about IT Automation: Explained with Use Cases, Pros, & Cons
You’ve built a thriving business and are on the cusp of expanding it to new heights. To satisfy your company’s rising needs, you may want to implement new agile digital processes, tools, and software solutions. As a result, there will be additional complexity and an increase in IT resources.
Studies have indicated that over 76% of Chief Information Officers in firms over the world see the rising complexities as a challenge to business growth itself.
But is your IT management capable of growing with your organization? This is where IT Automation comes in. Enterprises across industries are deploying IT automation to transform repetitive, time- and cost-intensive processes to achieve streamlining of workflows while ensuring that they are cost-efficient.
This blog will do a deep dive into IT Automation, explaining the use cases, pros and cons, and the trends. Let’s get right into it!
What is IT Automation?
IT Automation is the process of creating software and systems to replace ordinary processes and reduce manual intervention. It involves the management of the IT infrastructure of a business by automating manual processes that previously required a human touch.
With IT Automation, the software is used to replicate the creativity and skill of a trained IT expert. This is done by setting up and repeating instructions, tasks, and rules thus, allowing for efficient management and saving time for the IT Team so that they can focus on other strategic tasks.
Especially with the growth of virtualized networks and increasing digitalization of business processes, there has been a boom in the use of toolkits, software, and applications – all of which require intelligent, sophisticated deployment.
Over 50% of business leaders have indicated that they intend to speed up the automation of repetitive work within their companies. As enterprises grow in size, automation is an indispensable strategy to manage processes and workflows while addressing the needs of scalability, speed, and stability across the organization.
IT Automation is at the core of managing the hybrid IT Infrastructure of IT resources, people, and devices with low latency, high viscidity, and security.
How does IT automation work?
IT Automation software can handle a wide range of simple to complicated IT jobs and operations. For instance, it can be used to develop networking and security templates and blueprints, as well as to configure IT infrastructure applications.
Artificial intelligence and machine learning have been employed in recent trends to deal with more diverse, resilient solutions to manage more difficult scenarios. These trends are predicted to be propelling IT Automation into the next phase of development and acceptance!
Machine Learning, in particular, is advancing IT Automation in the direction of self-learning and intelligent decision-making. Consider the case of a developer who is creating an application that must be run. IT automation solutions can help you find the best system for executing your application or procedure with the help of insights from data in the system.
Why is IT Automation used?
There has been mass adoption of the cloud for business use. With the drastic expansion of cloud infrastructure, there is a growing need to automate cloud computing processes. Cloud automation is the use of software applications to unify cloud management processes by doing tasks with less human intervention.
The need for cloud automation arises from the complexities in hybrid and multi-cloud systems and infrastructure. In this sense, it puts more pressure on IT Teams to manually manage, track, scale, and secure resources and applications effectively with minimum error. This is why cloud automation can help consolidate all hybrid and multi-cloud systems under a single, streamlined set of policies.
In fact, over 84% of businesses that have adopted cloud automation have reported increased revenue and savings in terms of operating costs. The Y-o-Y growth for businesses that use cloud automation tools is 15% indicating the improvement in business outcomes from investing in cloud automation software.
The adoption of cloud technology to automate legacy applications and IT operations is yielding business benefits that go beyond revenue and profit as well such as closing the IT skill gap and resource shortage. Some of the best cloud automation tools include AWS CloudFormation, Puppet, Ansible and, Kubernetes.
Cloud Load Balancing Automation
Cloud-based load balancers are a crucial must-have for any organization that is looking to scale. Load balancers disperse visible loads and traffic from the internet and within the business systems to establish high availability and low downtime.
Automation tools in this space allow you to deploy, and manage load balancers from the public cloud, private cloud, legacy systems, and hybrid set-ups. This platform unites data and workflows from many sources – devices, monitoring systems, and tools.
Big Data Automation
Almost all industries, from financial services to insurance to healthcare, are undergoing digital transformation. This has meant that huge volumes of data are being generated in all institutions in this space. Further, the increase in the use of IoT devices has also resulted in more data being churned out. This has given rise to the problem of managing big data.
Big Data Automation is helpful in gathering, organizing, and processing voluminous data that would have otherwise taken a lot of time if done manually. This is due to the intelligent capabilities in discovering patterns and anomalies.
While customers require rapid data access for analysis, the full value of data can only be harvested and managed through sophisticated big data automation. Access to big data will become more democratic, allowing organizations to make better decisions and streamline internal and external operations.
Studies show that the benefits of big data automation are far profound than expected – with firms cutting down on processing time up to 70% of what would be the usual processing time!
Some of the popular big data automation tools include HDFS, Hive, HBase, and MapReduce.
Digital Process Automation
The automation and optimization of business and IT operations is referred to as digital process automation (DPA).
DPA solutions are designed to support the customer experience by ensuring staff and consumers have access to real-time data. Customer experiences, digital transformation, and innovation are more important goals for DPA.
DPA can help organizations achieve cost savings while improving customer experiences. The global digital process automation market is said to grow to USD 11770 million by 2026, from USD 6451.8 million in 2019 at a CAGR of 8.5% during 2021-2026. Quick Base, Pega Platform, Quixey, and Kissflow are some of the most popular DPA tools for enterprises.
Infrastructure automation is the process of decreasing human contact with IT systems by writing repetitive scripts or tasks. IT infrastructure automation tools can control IT elements such as servers, storage networks, operation systems, etc.
This is done by defining the standard operating environments (SOEs) for servers and workstations. This SOE consists of operating systems, the associated software and hardware configurations required to run application workloads.
The hardware and middleware of an environment, as well as the procedures and workflows that satisfy customer needs, are the focus of IT operations automation.
Advantages of IT automation
IT Automation has a host of benefits for any enterprise:
- Intelligent allocation and management of resources
- Time-consuming tasks are dealt with seamlessly
- Better security protocol and reduced data breaches
- Improve IT agility
- Increased uptime and system availability
- Reliability of IT and business workflows
- Efficiently handle sudden surges in workloads
- Reduce incidents of human-generated errors
Disadvantages of IT Automation
- IT Automation for the entire organization involves a large upfront capital outlay
- Inflexible to handle various functions
- Restrictive to the particular process that is automated
- Severe automated errors can impact the organizational output severely
IT Automation solutions are gaining new capabilities and being used in new and innovative ways as digital technologies advance.
Leveraging the capabilities of machine learning and AI, automation tools will become more robust and more efficient to handle the resource requirements in a way that maximizes business outcomes for the enterprise.
The post IT Automation: Explained with Use Cases, Pros, & Cons appeared first on Datafloq.