Hybrid IT Usage Doubles

Companies prefer a mix of on-prem and cloud environments, according to the 2024 Global State of IT Automation Report from Stonebranch. In only one year, hybrid IT usage has doubled from 34% to 68%.

Organizations are deciding where to store data — either on-prem or cloud — on a case-by-case basis. This approach is efficient and flexible but poses a challenge when it comes to automating and orchestrating these environments.


Source: Stonebranch

Other key automation trends from the report include:

Automation is Evolving into Orchestration

Driven by a desire to orchestrate across complex hybrid IT environments, 82% of respondents plan to replace legacy IT automation tools or add new automation tools to the mix.

Democratization of Automation Continues to Grow

88% of respondents enable end-users across the business with self-service access to IT automation. Those who plan to add or replace IT automation tools with a more modern solution cited a desire to add self-service as the leading reason for change.

Machine Learning Pipelines are Evolving and Growing in Importance

A significant 74% of respondents have already incorporated data and ML pipelines to operationalize their AI-driven initiatives. This is an indicator of many companies' strong commitment to the pivotal role of AI in shaping their future success.

Peter Baljet, Stonebranch CTO, concludes, "Our findings show that companies are adapting their IT automation and orchestration strategies to meet the specific challenges that come with cloud technologies. In the complex world of today's hybrid IT environments, automation is crucial to enhance performance, secure systems, and control costs."

Methodology: The report is based on a survey of IT automation professionals and executives, conducted by Censuswide between January 24 – February 5, 2024.

Hot Topics

The Latest

Redis Monitoring 101: Key Metrics You Need to Watch

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI Drives Surge in Data Budgets

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

How GenAI Can Save Time for the NetOps Team

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

The Great SaaS Hangover (and the Cure Nobody Is Talking About)

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

OpenShift Monitoring: 5 Things You Need to Keep an Eye on

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

Hybrid IT Usage Doubles

Companies prefer a mix of on-prem and cloud environments, according to the 2024 Global State of IT Automation Report from Stonebranch. In only one year, hybrid IT usage has doubled from 34% to 68%.

Organizations are deciding where to store data — either on-prem or cloud — on a case-by-case basis. This approach is efficient and flexible but poses a challenge when it comes to automating and orchestrating these environments.


Source: Stonebranch

Other key automation trends from the report include:

Automation is Evolving into Orchestration

Driven by a desire to orchestrate across complex hybrid IT environments, 82% of respondents plan to replace legacy IT automation tools or add new automation tools to the mix.

Democratization of Automation Continues to Grow

88% of respondents enable end-users across the business with self-service access to IT automation. Those who plan to add or replace IT automation tools with a more modern solution cited a desire to add self-service as the leading reason for change.

Machine Learning Pipelines are Evolving and Growing in Importance

A significant 74% of respondents have already incorporated data and ML pipelines to operationalize their AI-driven initiatives. This is an indicator of many companies' strong commitment to the pivotal role of AI in shaping their future success.

Peter Baljet, Stonebranch CTO, concludes, "Our findings show that companies are adapting their IT automation and orchestration strategies to meet the specific challenges that come with cloud technologies. In the complex world of today's hybrid IT environments, automation is crucial to enhance performance, secure systems, and control costs."

Methodology: The report is based on a survey of IT automation professionals and executives, conducted by Censuswide between January 24 – February 5, 2024.

Hot Topics

The Latest

Redis Monitoring 101: Key Metrics You Need to Watch

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI Drives Surge in Data Budgets

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

How GenAI Can Save Time for the NetOps Team

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

The Great SaaS Hangover (and the Cure Nobody Is Talking About)

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

OpenShift Monitoring: 5 Things You Need to Keep an Eye on

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...