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Prepare for Success in Cloud Migration: Elevate Above Infrastructure and Silo Tools

Eric Kraieski

Achieving success with cloud adoption remains an elusive challenge for many organizations. But why is that the case? After all, there are countless tools designed to facilitate the process of taking on-premises operations to the cloud. It is common to use these purpose-built tools for moving virtual images, automatically provisioning services, migrating data, right sizing deployments and optimizing cloud operations. But when it comes to application migration, this variety of infrastructure tools actually contributes to the problem.

These disparate systems certainly work well enough for their specific use and purpose. However, successful execution of application rehosting requires that users look above these infrastructure tools to see the full picture and select the tools appropriate to the specific migration method, or "R approach" — rehost, replatform, repurchase, refactor, retire, retain — for the application.

Perhaps the most interesting thing about these point solutions is that they all focus on infrastructure migration tasks, while selecting the R approach and the specific sequence of steps required are entirely dependent on the application and business goals. How is it possible to decide which R method is optimal or appropriate if you never look into the application requirements? Before committing to a specific path for each application, it is essential to consider the business needs for its availability, access, performance and the total cost to achieve the migration.

Of course there will be times where a straight rehost (often called a "lift and shift") will be appropriate and optimal. This is especially true for mobile workloads that are self contained on a specific server with few external dependencies, no external storage and no requirement for real time app-to-app communications. In other cases, a rehost may be possible, but not desired. For example, rehosting may violate corporate information security policies such as HIPAA or GDPR. Or perhaps some refactoring or reconfiguration is required to achieve target availability goals. Organizations should assume no more than 10-20% of their total server inventory will be highly mobile and ready for an automated rehosting process.

In our experience, organizations that proceed with an "infrastructure first" approach quickly recognize that it does not take into account the impact on critical business applications early enough in the process. Unfortunately, this approach often results in wasted time as plans must shift once the business factors are acknowledged and considered. Taking an application-centric approach is the only way to orchestrate a successful cloud migration.

Know Your Environment Before You Commit to a Migration Approach

Cloud-native platforms typically provide much more agility and flexibility than lifted premise ones. Refactoring apps can be costly and time consuming, so some organizations prefer the lift-and-shift approach. But before you make the decision to take a lift-and-shift migration approach for an application, carefully consider your current environment, your business and IT goals, and expected cost and staff impact first. Simply shifting a legacy, premise-based app to the cloud with all its limitations instead of refactoring it may limit you from taking full advantage of all the benefits associated with the cloud.

Bottom line, tools to support general planning and to assess server mobility can provide useful data points, but are not sufficient for comprehensive planning. Developing appropriate migration plans requires a comprehensive understanding of the entire environment including appropriate information from siloed tools and application SMEs (subject matter experts). Applications should be identified and assessed for readiness: some will be able to be migrated immediately, while others will have to be rewritten or modernized to be workable in the cloud. The indispensable first step for any migration is having an actionable picture of the entire data center, which includes:

■ Accurate information about where apps reside, who owns them, and what SLAs, RTOs, RPOs apply.

■ Complete knowledge regarding the application dependency landscape. Don't just rely on autodiscovery. Your subject matter experts know the ins and outs of your business and will be able to tell you things that machines can't detect.

■ A normalized view of the landscape.

■ Visual dependency mapping of the entire landscape, including what applications are dependent upon, and what is dependent upon them.

■ An understanding of what applications should generally be "grouped together" for a cloud move.

■ The ability to distinguish superfluous data from information that matters. For example, the operating system, manufacturer/model, and IP address are commonly used data points in migration analysis and planning activities, while other information such as CPU speed, MAC address, BIOS, and OS Install Date are simply not necessary or beneficial to the migration activities. Tracking unnecessary data will distract the team and slow down discovery. Don't boil the ocean; just capture the data you need.

Mastering Orchestration

Application migrations are among the most complex projects an organization can undertake and require a cautious approach. If you take the simplest path, assuming that rehost is the preferred approach, then rapid early progress can be achieved by first focusing on the easiest mobile workloads. But once you complete the migration of the easiest workloads, the progress will come to a screeching halt. The majority of your app-to-cloud migrations will require deeper analysis, more careful planning and choreographed execution to assure success.

Orchestration of such an ambitious and sometimes treacherous initiative may seem to be an elusive goal. To avoid mishaps or stalled projects, here are several tips for orchestrating successful outcomes of your cloud migration initiatives:

1. Move up the stack, take an application-centric approach

2. Establish visibility across all silos and users

3. Don't boil the ocean – leverage a sprint-based, iterative approach

4. Leverage existing info and tools where available

With a disciplined approach, you can drive successful outcomes for your cloud adoption initiatives. You'll achieve greater agility and scalability in hosting solutions while avoiding any unplanned outages of your business applications and services.

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Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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Prepare for Success in Cloud Migration: Elevate Above Infrastructure and Silo Tools

Eric Kraieski

Achieving success with cloud adoption remains an elusive challenge for many organizations. But why is that the case? After all, there are countless tools designed to facilitate the process of taking on-premises operations to the cloud. It is common to use these purpose-built tools for moving virtual images, automatically provisioning services, migrating data, right sizing deployments and optimizing cloud operations. But when it comes to application migration, this variety of infrastructure tools actually contributes to the problem.

These disparate systems certainly work well enough for their specific use and purpose. However, successful execution of application rehosting requires that users look above these infrastructure tools to see the full picture and select the tools appropriate to the specific migration method, or "R approach" — rehost, replatform, repurchase, refactor, retire, retain — for the application.

Perhaps the most interesting thing about these point solutions is that they all focus on infrastructure migration tasks, while selecting the R approach and the specific sequence of steps required are entirely dependent on the application and business goals. How is it possible to decide which R method is optimal or appropriate if you never look into the application requirements? Before committing to a specific path for each application, it is essential to consider the business needs for its availability, access, performance and the total cost to achieve the migration.

Of course there will be times where a straight rehost (often called a "lift and shift") will be appropriate and optimal. This is especially true for mobile workloads that are self contained on a specific server with few external dependencies, no external storage and no requirement for real time app-to-app communications. In other cases, a rehost may be possible, but not desired. For example, rehosting may violate corporate information security policies such as HIPAA or GDPR. Or perhaps some refactoring or reconfiguration is required to achieve target availability goals. Organizations should assume no more than 10-20% of their total server inventory will be highly mobile and ready for an automated rehosting process.

In our experience, organizations that proceed with an "infrastructure first" approach quickly recognize that it does not take into account the impact on critical business applications early enough in the process. Unfortunately, this approach often results in wasted time as plans must shift once the business factors are acknowledged and considered. Taking an application-centric approach is the only way to orchestrate a successful cloud migration.

Know Your Environment Before You Commit to a Migration Approach

Cloud-native platforms typically provide much more agility and flexibility than lifted premise ones. Refactoring apps can be costly and time consuming, so some organizations prefer the lift-and-shift approach. But before you make the decision to take a lift-and-shift migration approach for an application, carefully consider your current environment, your business and IT goals, and expected cost and staff impact first. Simply shifting a legacy, premise-based app to the cloud with all its limitations instead of refactoring it may limit you from taking full advantage of all the benefits associated with the cloud.

Bottom line, tools to support general planning and to assess server mobility can provide useful data points, but are not sufficient for comprehensive planning. Developing appropriate migration plans requires a comprehensive understanding of the entire environment including appropriate information from siloed tools and application SMEs (subject matter experts). Applications should be identified and assessed for readiness: some will be able to be migrated immediately, while others will have to be rewritten or modernized to be workable in the cloud. The indispensable first step for any migration is having an actionable picture of the entire data center, which includes:

■ Accurate information about where apps reside, who owns them, and what SLAs, RTOs, RPOs apply.

■ Complete knowledge regarding the application dependency landscape. Don't just rely on autodiscovery. Your subject matter experts know the ins and outs of your business and will be able to tell you things that machines can't detect.

■ A normalized view of the landscape.

■ Visual dependency mapping of the entire landscape, including what applications are dependent upon, and what is dependent upon them.

■ An understanding of what applications should generally be "grouped together" for a cloud move.

■ The ability to distinguish superfluous data from information that matters. For example, the operating system, manufacturer/model, and IP address are commonly used data points in migration analysis and planning activities, while other information such as CPU speed, MAC address, BIOS, and OS Install Date are simply not necessary or beneficial to the migration activities. Tracking unnecessary data will distract the team and slow down discovery. Don't boil the ocean; just capture the data you need.

Mastering Orchestration

Application migrations are among the most complex projects an organization can undertake and require a cautious approach. If you take the simplest path, assuming that rehost is the preferred approach, then rapid early progress can be achieved by first focusing on the easiest mobile workloads. But once you complete the migration of the easiest workloads, the progress will come to a screeching halt. The majority of your app-to-cloud migrations will require deeper analysis, more careful planning and choreographed execution to assure success.

Orchestration of such an ambitious and sometimes treacherous initiative may seem to be an elusive goal. To avoid mishaps or stalled projects, here are several tips for orchestrating successful outcomes of your cloud migration initiatives:

1. Move up the stack, take an application-centric approach

2. Establish visibility across all silos and users

3. Don't boil the ocean – leverage a sprint-based, iterative approach

4. Leverage existing info and tools where available

With a disciplined approach, you can drive successful outcomes for your cloud adoption initiatives. You'll achieve greater agility and scalability in hosting solutions while avoiding any unplanned outages of your business applications and services.

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...