DDI Directions: DNS, DHCP and IP Address Management Strategies for Multi-Cloud Era

Shamus McGillicuddy

DDI technology has become more challenging in recent years with the rise of hybrid and multi-cloud architectures, according to a new report, DDI Directions: DNS, DHCP, and IP Address Management Strategies for the Multi-Cloud Era, from Enterprise Management Associates (EMA™).

DNS, DHCP, and IP address management are a suite of core services essential to network connectivity and communications. DDI suites manage the assignment of IP addresses and the mapping of those addresses to DNS domains for both internal and external communications. People who lack networking expertise may think DDI is trivial, but an ineffective approach to these core services can lead to sluggish network operations, chronic downtime, security breaches, and worse.

As with switching, routing, and security, network teams often struggle to extend their DDI architecture into the cloud because they lack control and influence over cloud strategy. Cloud teams often adopt cloud-native tools without the network team's involvement, leading to a bifurcated approach to DDI services that creates complexity and inefficient operations. The new research explores this issue in depth, along with several other major themes, including network automation, DDI security, APIs, integration, and Ipv6.

This research reveals that DDI technology is pivotal to multi-cloud networking, network security, and network automation. IT organizations must invest in solutions that can support these priorities. Do-it-yourself approaches to DDI are untenable in the multi-cloud era.

Additionally, the report provides dozens of best practices for how IT organizations can improve their design and management of DDI services.

Some of the key findings from the report include:

■ Only 31% of enterprises are completely successful with their DDI strategies.

■ 39% of organizations think their DDI solution is an effective source of truth for network automation.

■ Less than 31% of organizations are fully confident in the security of their DNS infrastructure.

■ 59% of DDI teams have sufficient influence over cloud strategy.

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DDI Directions: DNS, DHCP and IP Address Management Strategies for Multi-Cloud Era

Shamus McGillicuddy

DDI technology has become more challenging in recent years with the rise of hybrid and multi-cloud architectures, according to a new report, DDI Directions: DNS, DHCP, and IP Address Management Strategies for the Multi-Cloud Era, from Enterprise Management Associates (EMA™).

DNS, DHCP, and IP address management are a suite of core services essential to network connectivity and communications. DDI suites manage the assignment of IP addresses and the mapping of those addresses to DNS domains for both internal and external communications. People who lack networking expertise may think DDI is trivial, but an ineffective approach to these core services can lead to sluggish network operations, chronic downtime, security breaches, and worse.

As with switching, routing, and security, network teams often struggle to extend their DDI architecture into the cloud because they lack control and influence over cloud strategy. Cloud teams often adopt cloud-native tools without the network team's involvement, leading to a bifurcated approach to DDI services that creates complexity and inefficient operations. The new research explores this issue in depth, along with several other major themes, including network automation, DDI security, APIs, integration, and Ipv6.

This research reveals that DDI technology is pivotal to multi-cloud networking, network security, and network automation. IT organizations must invest in solutions that can support these priorities. Do-it-yourself approaches to DDI are untenable in the multi-cloud era.

Additionally, the report provides dozens of best practices for how IT organizations can improve their design and management of DDI services.

Some of the key findings from the report include:

■ Only 31% of enterprises are completely successful with their DDI strategies.

■ 39% of organizations think their DDI solution is an effective source of truth for network automation.

■ Less than 31% of organizations are fully confident in the security of their DNS infrastructure.

■ 59% of DDI teams have sufficient influence over cloud strategy.

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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 ...

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