Top Five Devops Consulting Trends You Shouldn’t Miss In 2021

By Author: Hermes Campion
Total Articles: 7
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The ongoing Coronavirus pandemic has been affecting countless lives and businesses worldwide. With the global economy disrupted and hugely impacted by the COVID-19 outbreak, organizations worldwide have no other choice than to embark on the path of accelerated digital transformation. DevOps has become crucial and integral to a business’s success more than ever. The unprecedented and rapid change in the business landscape has led to technology evolving at lightning speed. With the emerging technology, DevOps has also evolved to cater to modern business requirements. So, here are some of the emerging DevOps Consulting trends expected to impact and reshape the business landscape in the future.

Advancement in Infrastructure Automation (IA) tools

DevOps teams can easily plan and execute hassle-free self-service by adopting and implementing infrastructure automation and a continuous delivery model. This helps enterprises with customer-focused agility and robust improvements. At the same time, it also provides automated delivery services at on-premises and IaaS (Infrastructure as a Service) environments.

Benefits:

1. Greater ...
... accuracy and efficiency with automated workflows

2. Reduction in staffing expenses

3. Better reliability with daily and quicker updates

4. Enhanced collaboration between teams

Cutting-edge Predictive Analytics in DevOps and AIOps

Predictive Analytics plays a vital role to prevent latency and manage the changing user requirements. By leveraging predictive analytics in DevOps and AIOps, organizations can continuously focus on the DevOps Consulting services. This provides the infrastructure and operations teams with a deeper insight into the resources and services being used. It also provides insights on how services and resources could likely be used in the future for the best outcome.

Benefits:

• Reduction in unplanned downtime

• Improved utilization of assets

• Better performance and maintenance of your assets

• Faster software delivery with better quality

Artificial intelligence and Machine Learning-Driven DevOps Approach

Data is being generated at lightning speed and in numerous forms. For companies that still resort to traditional ways and outdated technologies, it’s challenging and time-consuming to handle massive volumes and various data and computing daily in their daily operations. AI and ML-driven DevOps approach helps organizations with computing and analyze data of any size and scale. It also facilitates their workflow by transforming how teams develop, deliver, deploy, and manage applications efficiently.

Benefits:

• Increase in agility

• Optimized DevOps environment

• Shortened releases

• Deliver enhanced customer experiences

• Improved automation

• Improved collaboration between teams

• Quicker identification and resolution of problems

Inclusion of Cloud Management Platforms (CMPs) on a massive scale

Adopting a cloud management platform (CMP) for DevOps provides companies with the perfect tool to gain visibility into their cloud deployments. It also enables organizations to control and monitor their cloud computing resources.

Benefits:

• Better control of cloud environments

• Optimization of resources, performance, and costs

• Security enhancement

• Provisioning and orchestration

• Boosting cloud security

Infrastructure as Code (IaC)

IaC is more than automation and has become essential in DevOps Consulting. IaC takes infrastructure, including networks, servers, storage devices (on-premises or in the cloud), and it is a means to manage IT infrastructure through configuration files. Key benefits include full speed while setting up a complete infrastructure by running a script, consistency in deploying the same configurations, traceability, accountability, and high efficiency during the entire software development cycle.

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