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10 Important Cloud Migration Case Studies You Need to Know

Aug 1, 2019 | Engineering

For most businesses considering cloud migration, the move is filled with promise and potential. Scalability, flexibility, reliability, cost-effectiveness, improved performance and disaster recovery, and simpler, faster deployment — what’s not to like? 

It’s important to understand that cloud platform benefits come alongside considerable challenges, including the need to improve availability and latency, auto-scale orchestration, manage tricky connections, scale the development process effectively, and address cloud security challenges. While advancements in virtualization and containerization (e.g., Docker, Kubernetes) are helping many businesses solve these challenges, cloud migration is no simple matter. 

That’s why, when considering your organization’s cloud migration strategy, it’s beneficial to look at case studies and examples from other companies’ cloud migration experiences. Why did they do it? How did they go about it? What happened? What benefits did they see, and what are the advantages and disadvantages of cloud computing for these businesses? Most importantly, what lessons did they learn — and what can you learn from them? 

With that in mind, Distillery has put together 10 cloud migration case studies your business can learn from. While most of the case studies feature companies moving from on-premise, bare metal data centers to cloud, we also look at companies moving from cloud to cloud, cloud to multi-cloud, and even off the cloud. Armed with all these lessons, ideas, and strategies, you’ll feel readier than ever to make the cloud work for your business.

Challenges for Cloud Adoption: Is Your Organization Ready to Scale and Be Cloud-first?

We examine several of these case studies from a more technical perspective in our white paper on Top Challenges for Cloud Adoption in 2019 . In this white paper, you’ll learn:

• Why cloud platform development created scaling challenges for businesses
• How scaling fits into the big picture of the Cloud Maturity Framework
• Why advancements in virtualization and containerization have helped businesses solve these scaling challenges
• How companies like Betabrand, Shopify, Spotify, Evernote, Waze, and others have solved these scaling challenges while continuing to innovate their businesses and provide value to users

#1 Betabrand : Bare Metal to Cloud

Betabrand (est. 2005) is a crowd-funded, crowd-sourced retail clothing e-commerce company that designs, manufactures, and releases limited-quantity products via its website. 

Migration Objective 

The company struggled with the maintenance difficulties and lack of scalability of the bare metal infrastructure supporting their operations. 

Planning for and adding capacity took too much time and added costs. They also needed the ability to better handle website traffic surges.

Migration Strategy and Results 

In anticipation of 2017’s Black Friday increased web traffic, Betabrand migrated to a Google Cloud infrastructure managed by Kubernetes (Google Kubernetes Engine, or GKE). They experienced no issues related to the migration, and Black Friday 2017 was a success. 

By Black Friday 2018, early load testing and auto-scaling cloud infrastructure helped them to handle peak loads with zero issues. The company hasn’t experienced a single outage since migrating to the cloud.

Key Takeaways

• With advance planning, cloud migration can be a simple process. Betabrand’s 2017 on-premise to cloud migration proved smooth and simple. In advance of actual migration, they created multiple clusters in GKE and performed several test migrations, thereby identifying the right steps for a successful launch.
• Cloud streamlines load testing. Betabrand was able to quickly create a replica of its production services that they could use in load testing. Tests revealed poorly performing code paths that would only be revealed by heavy loads. They were able to fix the issues before Black Friday. 
• Cloud’s scalability is key to customer satisfaction. As a fast-growing e-commerce business, Betabrand realized they couldn’t afford the downtime or delays of bare metal. Their cloud infrastructure scales automatically, helping them avoid issues and keep customers happy. This factor alone underlines the strategic importance of cloud computing in business organizations like Betabrand. 

#2 Shopify : Cloud to Cloud

Shopify (est. 2006) provides a proprietary e-commerce software platform upon which businesses can build and run online stores and retail point-of-sale (POS) systems. 

Shopify wanted to ensure they were using the best tools possible to support the evolution needed to meet increasing customer demand. Though they’d always been a cloud-based organization, building and running their e-commerce cloud with their own data centers, they sought to capitalize on the container-based cloud benefits of immutable infrastructure to provide better support to their customers. Specifically, they wanted to ensure predictable, repeatable builds and deployments; simpler and more robust rollbacks; and elimination of configuration management drift. 

By building out their cloud with Google, building a “Shop Mover” database migration tool, and leveraging Docker containers and Kubernetes, Shopify has been able to transform its data center to better support customers’ online shops, meeting all their objectives. For Shopify customers, the increasingly scalable, resilient applications mean improved consistency, reliability, and version control.

• Immutable infrastructure vastly improves deployments. Since cloud servers are never modified post-deployment, configuration drift — in which undocumented changes to servers can cause them to diverge from one another and from the originally deployed configuration — is minimized or eliminated. This means deployments are easier, simpler, and more consistent.
• Scalability is central to meeting the changing needs of dynamic e-commerce businesses. Shopify is home to online shops like Kylie Cosmetics, which hosts flash sales that can sell out in 20 seconds. Shopify’s cloud-to-cloud migration helped its servers flex to meet fluctuating demand, ensuring that commerce isn’t slowed or disrupted.

#3 Spotify: Bare Metal to Cloud

Spotify (est. 2006) is a media services provider primarily focused on its audio-streaming platform, which lets users search for, listen to, and share music and podcasts.

Spotify’s leadership and engineering team agreed: The company’s massive in-house data centers were difficult to provision and maintain, and they didn’t directly serve the company’s goal of being the “best music service in the world.” They wanted to free up Spotify’s engineers to focus on innovation. They started planning for migration to Google Cloud Platform (GCP) in 2015, hoping to minimize disruption to product development, and minimize the cost and complexity of hybrid operation. 

Spotify invested two years pre-migration in preparing, assigning a dedicated Spotify/Google cloud migration team to oversee the effort. Ultimately, they split the effort into two parts, services and data, which took a year apiece. For services migration, engineering teams moved services to the cloud in focused two-week sprints, pausing on product development. For data migration, teams were allowed to choose between “forklifting” or rewriting options to best fit their needs. Ultimately, Spotify’s on-premise to cloud migration succeeded in increasing scalability while freeing up developers to innovate. 

• Gaining stakeholder buy-in is crucial. Spotify was careful to consult its engineers about the vision. Once they could see what their jobs looked like in the future, they were all-in advocates. 
• Migration preparation shouldn’t be rushed. Spotify’s dedicated migration team took the time to investigate various cloud strategies and build out the use case demonstrating the benefits of cloud computing to the business. They carefully mapped all dependencies. They also worked with Google to identify and orchestrate the right cloud strategies and solutions. 
• Focus and dedication pay huge dividends. Spotify’s dedicated migration team kept everything on track and in focus, making sure everyone involved was aware of past experience and lessons already learned. In addition, since engineering teams were fully focused on the migration effort, they were able to complete it more quickly, reducing the disruption to product development.

#4 Evernote : Bare Metal to Cloud

Evernote (est. 2008) is a collaborative, cross-platform note-taking and task management application that helps users capture, organize, and track ideas, tasks, and deadlines.

Evernote, which had maintained its own servers and network since inception, was feeling increasingly limited by its infrastructure. It was difficult to scale, and time-consuming and expensive to maintain. They wanted more flexibility, as well as to improve Evernote’s speed, reliability, security, and disaster recovery planning. To minimize service disruption, they hoped to conduct the on-premise to cloud migration as efficiently as possible. 

Starting in 2016, Evernote used an iterative approach : They built a strawman based on strategic decisions, tested its viability, and rapidly iterated. They then settled on a cloud migration strategy that used a phased cutover approach, enabling them to test parts of the migration before committing. They also added important levels of security by using GCP service accounts , achieving “encryption at rest,” and improving disaster recovery processes. Evernote successfully migrated 5 billion notes and 5 billion attachments to GCP in only 70 days. 

• Cloud migration doesn’t have to happen all at once. You can migrate services in phases or waves grouped by service or user. Evernote’s phased cutover approach allowed for rollback points if things weren’t going to according to plan, reducing migration risk. 
• Ensuring data security in the cloud may require extra steps. Cloud security challenges may require extra focus in your cloud migration effort. Evernote worked with Google to create the additional security layers their business required. GCP service accounts can be customized and configured to use built-in public/private key pairs managed and rotated daily by Google.
• Cloud capabilities can improve disaster recovery planning. Evernote wanted to ensure that they would be better prepared to quickly recover customer data in the event of a disaster. Cloud’s reliable, redundant, and robust data backups help make this possible. 

#5 Etsy : Bare Metal to Cloud

Etsy (est. 2005) is a global e-commerce platform that allows sellers to build and run online stores selling handmade and vintage items and crafting supplies.

Etsy had maintained its own infrastructure from inception. In 2018, they decided to re-evaluate whether cloud was right for the company’s future. In particular, they sought to improve site performance, engineering efficiency, and UX. They also wanted to ensure long-term scalability and sustainability, as well as to spend less time maintaining infrastructure and more time executing strategy.

Migration Strategy and Results

Etsy undertook a detailed vendor selection process , ultimately identifying GCP as the right choice for their cloud migration strategy . Since they’d already been running their own Kubernetes cluster inside their data center, they already had a partial solution for deploying to GKE. They initially deployed in a hybrid environment (private data center and GKE), providing redundancy, reducing risk, and allowing them to perform A/B testing. They’re on target to complete the migration and achieve all objectives. 

Key Takeaways 

• Business needs and technology fit should be periodically reassessed. While bare metal was the right choice for Etsy when it launched in 2005, improvements in infrastructure as a service (IaaS) and platform as a service (PaaS) made cloud migration the right choice in 2018.
• Detailed analysis can help businesses identify the right cloud solution for their needs. Etsy took a highly strategic approach to assessment that included requirements definition, RACI (responsible, accountable, consulted, informed) matrices, and architectural reviews. This helped them ensure that their cloud migration solution would genuinely help them achieve all their goals.
• Hybrid deployment can be effective for reducing cloud migration risk. Dual deployment on their private data center and GKE was an important aspect of Etsy’s cloud migration strategy. 

#6 Waze : Cloud to Multi-cloud

Waze (est. 2006; acquired by Google in 2013) is a GPS-enabled navigation application that uses real-time user location data and user-submitted reports to suggest optimized routes.

Though Waze moved to the cloud very early on, their fast growth quickly led to production issues that caused painful rollbacks, bottlenecks, and other complications. They needed to find a way to get faster feedback to users while mitigating or eliminating their production issues.  

Waze decided to run an active-active architecture across multiple cloud providers — GCP and Amazon Web Services (AWS) — to improve the resiliency of their production systems. This means they’re better-positioned to survive a DNS DDOS attack, or a regional or global failure. An open source continuous delivery platform called Spinnaker helps them deploy software changes while making rollbacks easy and reliable. Spinnaker makes it easy for Waze’s engineers to deploy across both cloud platforms, using a consistent conceptual model that doesn’t rely on detailed knowledge of either platform .  

• Some business models may be a better fit for multiple clouds. Cloud strategies are not one-size-fits-all. Waze’s stability and reliability depends on avoiding downtime, deploying quick fixes to bugs, and ensuring the resiliency of their production systems. Running on two clouds at once helps make it all happen. 
• Your engineers don’t necessarily have to be cloud experts to deploy effectively. Spinnaker streamlines multi-cloud deployment for Waze such that developers can focus on development, rather than on becoming cloud experts. 

Deploying software more frequently doesn’t have to mean reduced stability/reliability. Continuous delivery can get you to market faster, improving quality while reducing risk and cost.

#7 AdvancedMD : Bare Metal to Cloud

AdvancedMD (est. 1999) is a software platform used by medical professionals to manage their practices, securely share information, and manage workflow, billing, and other tasks. 

AdvancedMD was being spun off from its parent company, ADP; to operate independently, it had to move all its data out of ADP’s data center. Since they handle highly sensitive, protected patient data that must remain available to practitioners at a moment’s notice, security and availability were top priorities. They sought an affordable, easy-to-manage, and easy-to-deploy solution that would scale to fit their customers’ changing needs while keeping patient data secure and available.

AdvancedMD’s on-premise to cloud migration would avoid the need to hire in-house storage experts, save them and their customers money, ensure availability, and let them quickly flex capacity to accommodate fluctuating needs. It also offered the simplicity and security they needed. Since AdvancedMD was already running NetApp storage arrays in its data center, it was easy to use NetApp’s Cloud Volumes ONTAP to move their data to AWS. ONTAP also provides the enterprise-level data protection and encryption they require.

• Again, ensuring data security in the cloud may require extra steps. Though cloud has improved or mitigated some security concerns (e.g., vulnerable OS dependencies, long-lived compromised servers), hackers have turned their focus to the vulnerabilities that remain. Thus, your cloud migration strategy may need extra layers of controls (e.g., permissions, policies, encryption) to address these cloud security challenges.
• When service costs are a concern, cloud’s flexibility may help. AdvancedMD customers are small to mid-sized budget-conscious businesses. Since cloud auto-scales, AdvancedMD never pays for more cloud infrastructure than they’re actually using. That helps them keep customer pricing affordable.

#8 Dropbox : Cloud to Hybrid

Dropbox (est. 2007) is a file hosting service that provides cloud storage and file synchronization solutions for customers.

Dropbox had developed its business by using the cloud — specifically, Amazon S3 (Simple Storage Service) — to house data while keeping metadata housed on-premise. Over time, they began to fear they’d become overly dependent on Amazon: not only were costs increasing as their storage needs grew, but Amazon was also planning a similar service offering, Amazon WorkDocs. Dropbox decided to take back their storage to help them reduce costs, increase control, and maintain their competitive edge. 

While the task of moving all that data to an in-house infrastructure was daunting, the company decided it was worth it — at least in the US (Dropbox assessed that in Europe, AWS is still the best fit). Dropbox designed in-house and built a massive network of new-breed machines orchestrated by software built with an entirely new programming language, moving about 90% of its files back to its own servers . Dropbox’s expanded in-house capabilities have enabled them to offer Project Infinite, which provides desktop users with universal compatibility and unlimited real-time data access.

• On-premise infrastructure may still be right for some businesses. Since Dropbox’s core product relies on fast, reliable data access and storage, they need to ensure consistently high performance at a sustainable cost. Going in-house required a huge investment, but improved performance and reduced costs may serve them better in the long run. Once Dropbox understood that big picture, they had to recalculate the strategic importance of cloud computing to their organization.  
• Size matters. As Wired lays out in its article detailing the move , cloud businesses are not charities. There’s always going to be margin somewhere. If a business is big enough — like Dropbox — it may make sense to take on the difficulties of building a massive in-house network. But it’s a huge risk for businesses that aren’t big enough, or whose growth may stall.

#9 GitLab : Cloud to Cloud

GitLab (est. 2011) is an open core company that provides a single application supporting the entire DevOps life cycle for more than 100,000 organizations. 

GitLab’s core application enables software development teams to collaborate on projects in real time, avoiding both handoffs and delays. GitLab wanted to improve performance and reliability, accelerating development while making it as seamless, efficient, and error-free as possible. While they acknowledged that Microsoft Azure had been a great cloud provider, they strongly believed that GCP’s Kubernetes was the future, calling it “a technology that makes reliability at massive scale possible.” 

In 2018, GitLab migrated from Azure to GCP so that GitLab could run as a cloud-native application on GKE. They used their own Geo product to migrate the data, initially mirroring the data between Azure and GCP. Post-migration, GitLab reported improved performance (including fewer latency spikes) and a 61% improvement in availability.    

• Containers are seen by many as the future of DevOps. GitLab was explicit that they view Kubernetes as the future. Indeed, containers provide notable benefits, including a smaller footprint, predictability, and the ability to scale up and down in real time. For GitLab’s users, the company’s cloud-to-cloud migration makes it easier to get started with using Kubernetes for DevOps.
• Improved stability and availability can be a big benefit of cloud migration. In GitLab’s case, mean-time between outage events pre-migration was 1.3 days. Excluding the first day post-migration, they’re up to 12 days between outage events. Pre-migration, they averaged 32 minutes of downtime weekly; post-migration, they’re down to 5. 

#10 Cordant Group : Bare Metal to Hybrid

The Cordant Group (est. 1957) is a global social enterprise that provides a range of services and solutions, including recruitment, security, cleaning, health care, and technical electrical.

Over the years, the Cordant Group had grown tremendously, requiring an extensive IT infrastructure to support their vast range of services. While they’d previously focused on capital expenses, they’d shifted to looking at OpEx, or operational expenses — which meant cloud’s “pay as you go” model made increasing sense. It was also crucial to ensure ease of use and robust data backups.

They began by moving to a virtual private cloud on AWS , but found that the restriction to use Windows DFS for file server resource management was creating access problems. NetApp Cloud ONTAP, a software storage appliance that runs on AWS server and storage resources, solved the issue. File and storage management is easier than ever, and backups are robust, which means that important data restores quickly. The solution also monitors resource costs over time, enabling more accurate planning that drives additional cost savings. 

• Business and user needs drive cloud needs. That’s why cloud strategies will absolutely vary based on a company’s unique needs. The Cordant Group needed to revisit its cloud computing strategy when users were unable to quickly access the files they needed. In addition, with such a diverse user group, ease of use had to be a top priority.
• Cloud ROI ultimately depends on how your business measures ROI. The strategic importance of cloud computing in business organizations is specific to each organization. Cloud became the right answer for the Cordant Group when OpEx became the company’s dominant lens. 

Which Cloud Migration Strategy Is Right for You?

As these 10 diverse case studies show, cloud strategies are not one-size-fits all. Choosing the right cloud migration strategy for your business depends on several factors, including your:

• Goals. What business results do you want to achieve as a result of the migration? How does your business measure ROI? What problems are you trying to solve via your cloud migration strategy? 
• Business model. What is your current state? What are your core products/services and user needs, and how are they impacted by how and where data is stored? What are your development and deployment needs, issues, and constraints? What are your organization’s cost drivers? How is your business impacted by lack of stability or availability? Can you afford downtime? 
• Security needs. What are your requirements regarding data privacy, confidentiality, encryption, identity and access management, and regulatory compliance? Which cloud security challenges pose potential problems for your business?
• Scaling needs. Do your needs and usage fluctuate? Do you expect to grow or shrink? 
• Disaster recovery and business continuity needs. What are your needs and capabilities in this area? How might your business be impacted in the event of a major disaster — or even a minor service interruption? 
• Technical expertise. What expertise do you need to run and innovate your core business? What expertise do you have in-house? Are you allocating your in-house expertise to the right efforts? 
• Team focus and capacity. How much time and focus can your team dedicate to the cloud migration effort? 
• Timeline. What business needs constrain your timeline? What core business activities must remain uninterrupted? How much time can you allow for planning and testing your cloud migration strategy? 

Of course, this list isn’t exhaustive. These questions are only a starting point. But getting started — with planning, better understanding your goals and drivers, and assessing potential technology fit — is the most important step of any cloud migration process. We hope these 10 case studies have helped to get you thinking in the right direction. 

While the challenges of cloud migration are considerable, the right guidance, planning, and tools can lead you to the cloud strategies and solutions that will work best for your business. So don’t delay: Take that first step to helping your business reap the potential advantages and benefits of cloud computing. 

Ready to take the next step on your cloud journey? As a Certified Google Cloud Technology Partner , Distillery is here to help. Download our white paper on top challenges for cloud adoption to get tactical and strategic about using cloud to transform your business.  

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Cloud data migration use cases

• Use Case 1: One-time massive data migration
• Use Case 2: Continuous on-premises data migration
• Use Case 3: Continuous streaming data ingestion

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Migrating vast quantities of data between storage mediums is more than a simple cut and paste job. Many of the top tech vendors license tools designed to make this process as easy as possible, but each implementation is slightly different. Before choosing the tools for your next data migration, let’s dive into some real-world case studies to see how the most prominent offerings perform.

5 Data migration case studies

1. tape ark.

Industry: Energy, oil, gas

Use case: Transfer archival data off tapes and on to cloud

Outcome: Smooth, automated transition of massive archive

Tape storage is a highly popular medium for data that is infrequently accessed and stored for archival purposes. One of its challenges is that the nature of the technology removes data from regular workflows, putting it out of sight and out of mind. 

This was a problem for the oil and gas industry, where decades of geologic information had been removed from circulation and put into cold storage, making it an inaccessible treasure trove for potential oil prospects. These datasets were transitioned onto tapes as oil rigs, exploration vessels, and other remote facilities migrated their onboard data into a medium that can be transported to the coast—resulting in an archive of millions of tapes. 

With the emergence of cost-effective cloud storage, this data found a potential new home that offered AI-driven analysis of huge datasets to produce future exploration candidates. But given the volume of tapes, the real question became—How does the migration actually happen?

Enter Tape Ark , a tape-to-cloud migration service born of the oil industry, now an AWS Select Technology Partner. Under the Tape Ark process, tapes are loaded into a mass tape ingest system called Arkbridge, which begins with scoping out the data sets and projecting the cloud storage needs. Much of the broader system is automated, breaking media down into objects with accompanying JSON metadata manifest files, automated checksums and name validation checks, and the final storage into AWS’s servers. 

Despite its strong partnership with AWS, Tape Ark bills itself as cloud-agnostic and able to work with many of the major cloud providers, such as Google and Microsoft Azure. Their technology is highly-scalable and able to handle petabytes (PB) with ease.

2. AdvancedMD

Industry: Health care management software

Use case: Transfer administrative back end to cloud

Outcome: Reduction in CapEx costs, smooth transition

AdvancedMD is a software-as-a-service (SaaS) company in the healthcare industry, providing data management, billing, patients records, telemedicine, and other practice management softwares to hospitals and doctors’ offices. When they began, AdvancedMD stored much of its data onsite with a NetApp storage array, though the company saw the creation of a cloud data center as its next best step, and elected to move its data into the Cloud Volumes ONTAP for AWS (a hybrid cloud solution for enterprise). With AWS, AdvancedMD gained infinite scalability, high availability data redundancy (critical for a highly-regulated industry), improved data compression and deduplication of unnecessary data, and automated tiering.

Powering this transition was SnapMirror from NetApp. SnapMirror features a relatively straightforward drag-and-drop interface, enabling rapid data transfer using snapshot copies. The software can operate asynchronously, with regular data replication at predetermined intervals; synchronously, keeping data immediately up to date; or semi-synchronously, with a lag of 10 or so seconds. 

SnapMirror is even further simplified through the use of Cloud Manager , a wizard which automatically configures SnapMirror’s relationship with its cloud destination and provisioning the host on the fly. The simplicity of this service enabled AdvancedMD to quickly transfer sensitive data into the cloud and take advantage of enterprise-grade encryption while trading CapEx costs for OpEx.

3. Rossi Residencial

Industry: Real estate development

Use case: Unify financial softwares across multiple systems

Outcome: 50% reduction in hosting costs with no outage during transition

A Brazil-based real estate developer and major construction firm, Rossi Residencial , relied on its SAP solutions for managing its finances, taxes, and other regulatory compliance items. Their systems were spread across three different cloud providers, but the company saw huge cost-savings potential by moving to Google Cloud as its singular provider. This delicate migration needed quick and reliable completion, or the business risked severe interruptions to its processes. Adding pressure to the timetable, their current cloud contracts were coming to a rapid end.

To meet this deadline, Rossi partnered with migration service provider Sky.One, which scoped and mapped the project’s needs, then cloned all Rossi’s existing virtual appliances from its many servers directly onto Google Cloud. The project completed with zero outages in under a month.

The workhorse for this project was Migrate for Compute Engine , a highly-scalable, enterprise-grade migration software designed to reduce downtimes. Before commencing operations, Migrate engages in non-disruptive testing and validation to ensure that production workloads and its data can make smooth transitions with minimal disruption. With the benefit of this tool, Rossi completed the migration without incident, and cut their hosting costs by 50% compared to their previous provider.

Industry: Financial services

Use Case: Absorb dated IT services and modernize

Outcome: 60–70% reduction in IT infrastructure costs

A European financial services provider, AxFina Holding , acquired a leasing company and absorbed the latter’s IT infrastructure. The resulting multinational firm had a sudden demand to uplift its computing services to a new cloud provider—particularly one with an established reputation for regulatory compliance and data security. Its search ended when AxFina decided on Microsoft Azure, a cloud solution the firm projected would reduce recurring infrastructure-related costs by 60–70%. The firm partnered with a regional cloud architect engineering team that specialized in Microsoft Azure data transitions.

On a very tight schedule, the company was able to uplift its data into Azure, following the best practices prescribed by Microsoft’s Cloud Adoption Framework . So satisfied was AxFina with the experience, they have chosen Azure as its cloud service of choice for future expansions the company is eying down the road.

5. Zuellig Pharma

Industry: Health care, pharmaceuticals

Use case: Modernize and optimize aging platform

Outcome: Significant performance improvements in cloud-based service

Asiatic health care company Zuellig Pharma provides services at a global scale, while employing more than 12,000 people. To relocate its data from on-premises centers to the cloud, Zuellig chose a business suite powered by SAP HANA, hosted on Microsoft’s Azure platform. Working with SAP’s enterprise advisory team enabled Zuellig to migrate its data while conducting continuous quality checks for each phase of transfer, ensuring a smooth transition and sustained operations. 

SAP’s advisors were also on-hand during the entire process, monitoring the migration for serious issues and resolving them as each problem arose. Their close support made the process fluid and resulted in a cloud-based business platform with an increased application performance of an estimated 66% over Zuellig’s previous, on-site integrations. This type of improved posturing is crucial to Asian markets, which are seeing rapid growth in cloud and edge computing and need every performance optimization they can get along the way.

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In this article, we are sharing our 'migrating into a cloud ppt' presentation and we talk about the process of migrating into a cloud environment.

Let's start with the definition. Cloud migration is the process of moving all or some company's data center capabilities, data and applications into the cloud. Some of the biggest globally available hyper-cloud providers are AWS, Google, Azure, Alibaba, IBM, Oracle. There are also many small cloud providers operating in local markets. Depending on the various factors, migrating into a cloud can take several days to a couple of months.

Various enterprise applications require stable infrastructure to run on; our task is to help you move your application into the cloud.

Migrating into a Cloud Is a Unique Process

Although many companies share similar problems, no company is the same. Every company has different IT stack, priorities, security and compliance needs, etc. A general rule is that bigger companies need more time and other resources to implement new technologies such as cloud computing. Because of all these variables, migrating into a cloud is a unique project for every company.

Cloud Migration Assessment Is Essential

The first phase of migrating into a cloud is the assessment and analysis. This part is essential for a good start and project definition. Cloud migration assessment is a workshop with the client's IT staff. It usually takes from one to a couple of days, depending on the complexity of the client's IT ecosystem.

Trought the cloud migration assessment workshop, we define:

• the state of the client's hardware infrastructure;
• the number of applications depending on the hardware resources and their dependencies;
• type of new environment (private cloud, hybrid cloud, public cloud);
• migration risks, client's pain points, continuity needs and challenges (scalability, security, compliance needs, monitoring);
• client's current maintenance and upgrade procedures;
• client's IT team, their current roles, and expertise;
• future requirements, possible needs, and areas for improvement.

The outcome of cloud migration assessment is two technical documents. The first document describes the currents state of the client's IT. The second document describes the new solution and cloud migration project, processes, phases, and deliveries.

The Cloud Migration Project

The cloud migration project is defined at the end of the assessment phase. It ensures that migrating into a cloud goes by the plan and that the expectations and deliveries are in line.

The cloud migration project can take from a couple of weeks to a couple of months. With clear milestones, we anticipate and solve problems efficiently, ensuring that each deliverable is delivered on time.

Migration into a cloud is finished once all deliverables from all project phases are delivered. In the end, the customer also needs to sign the acceptance document, confirming that the solution is successfully implemented.

Successful Cloud Operations

Once the cloud migration project is finished, we need to operate the new environment. It is critical to ensure efficient operations and meet the client's TCO and TPO needs. Various monitoring tools help us efficiently monitor the whole infrastructure and anticipate and solve problems faster, ensuring successful daily operations.

As a part of daily operation, we ensure:

• OS management: OS patching and reactions to possible security issues;
• proper access control: with the help of the cloud's access controls, we ensure that all users have the right privileges;
• monitoring: monitoring helps us have an end-to-end view of the whole system;
• alerting: alerts are raised when predefined cloud parameters go above or below expected values;
• backup and disaster recovery: because incidents happen, it is crucial to have proper backup and disaster recovery strategy in place;
• cloud optimization: we continuously iterate and optimize various parameters to achieve better performance, lower costs, and increase security.

Migrating into a cloud is a unique process with various complexities. Our goal is to assess all possible problems and create an efficient solution that solves customers' problems.

The whole migrating into cloud project is structured in a way that ensures successful project delivery. After a successful migration project, we provide an efficient and error-free cloud operation service. Our goal is to help you focus on your business goals instead of infrastructure management.

As AWS Advanced Consulting Partner, we help companies of every industry and size solve their infrastructure problems with cloud migration.

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What is mainframe devops, aws '7r' cloud migration strategy: main principles, why is the cloud migration discovery phase so important, devops branching strategy: what is it & how it works, document collaboration using amazon workdocs, amazon relational database service (rds), report: migration day 3, aws european sovereign cloud: a new era of data sovereignty and security in europe, report: migration day 2.0.

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7 best case-studies for migrating from on-premise to cloud.

For most businesses considering cloud migration, it’s essential to understand that cloud platform benefits come alongside considerable challenges, including improving availability and latency, auto-scale orchestration, managing tricky connections, scaling the development process effectively, and addressing cloud security challenges.

A transformation example when moving from On-premise to Cloud

#1 Betabrand: Bare Metal to Cloud

CloudBetabrand  (est. 2005) is a crowd-funded, crowd-sourced retail clothing e-commerce company that designs, manufactures, and releases limited-quantity products via its website.

– Migration objective 

The company struggled with the maintenance difficulties and lack of scalability of the bare metal infrastructure supporting their operations. Planning for and adding capacity took too much time and added costs. They also needed the ability to handle website traffic surges better.

– Key Takeaways

• With planning, cloud migration can be a simple process. Betabrand’s 2017 on-premise to cloud migration proved smooth and simple. Before actual migration, they created multiple clusters in GKE and performed several test migrations, identifying the right steps for a successful launch.
• Cloud streamlines load testing.  Betabrand was able to quickly create a replica of its production services that they could use in load testing. Tests revealed poorly performing code paths that would only be revealed by heavy loads. They could fix the issues before Black Friday.
• Cloud’s scalability is key to customer satisfaction.  As a fast-growing e-commerce business, Betabrand realized they couldn’t afford the downtime or delays of bare metal. Their cloud infrastructure scales automatically, helping them avoid issues and keep customers happy. This factor alone underlines the strategic importance of cloud computing in business organizations like Betabrand.

#2 Spotify: Bare Metal to Cloud

Spotify’s leadership and engineering team agreed: The company’s massive in-house data centers were difficult to provision and maintain, and they didn’t directly serve the company’s goal of being the “best music service in the world.” They wanted to free up Spotify’s engineers to focus on innovation. They started planning for migration to Google Cloud Platform (GCP) in 2015, hoping to minimize disruption to product development and minimize the cost and complexity of hybrid operation.

• Gaining stakeholder buy-in is crucial.  Spotify was careful to consult its engineers about the vision. Once they could see what their jobs looked like in the future, they were all-in advocates.
• Migration preparation shouldn’t be rushed.  Spotify’s dedicated migration team took the time to investigate various cloud strategies and build out the use case showing the benefits of cloud computing to the business. They carefully mapped all dependencies. They also worked with Google to identify and orchestrate the right cloud strategies and solutions.
• Focus and dedication pay huge dividends.  Spotify’s dedicated migration team kept everything on track and in focus, making sure everyone involved was aware of experience and lessons already learned. In addition, since engineering teams were fully focused on the migration effort, they could complete it more quickly, reducing the disruption to product development

#3 Waze: Cloud to Multi-cloud

Waze (est. 2006; acquired by Google in 2013) is a GPS-enabled navigation application that uses real-time user location data and user-submitted reports to suggest optimized routes.

Though Waze moved to the cloud very early on, their fast growth quickly led to production issues that caused painful rollbacks, bottlenecks, and other complications. They needed to get faster feedback to users while mitigating or eliminating their production issues.

• Some business models may be a better fit for multiple clouds.  Cloud strategies are not one-size-fits-all. Waze’s stability and reliability depend on avoiding downtime, deploying quick fixes to bugs, and ensuring the resiliency of their production systems. Running on two clouds at once helps make it all happen.
• Your engineers don’t have to be cloud experts to deploy effectively. Spinnaker streamlines multi-cloud deployment for Waze such that developers can focus on development, rather than on becoming cloud experts.
• Deploying software more frequently doesn’t have to mean reduced stability/reliability c ontinuous delivery can get you to market faster, improving quality while reducing risk and cost.

#4 Dropbox: Cloud to Hybrid

Dropbox had developed its business by using the cloud — specifically, Amazon S3 (Simple Storage Service) — to house data while keeping metadata housed on-premise. Over time, they feared they’d become overly dependent on Amazon: not only were costs increasing as their storage needs grew, but Amazon was also planning a similar service offering, Amazon WorkDocs. Dropbox took back their storage to help them reduce costs, increase control, and maintain their competitive edge.

• On-premise infrastructure may still be right for some businesses.  Since Dropbox’s core product relies on fast, reliable data access and storage, they need to ensure consistently high performance at a sustainable cost. Going in-house required an enormous investment, but improved performance and reduced costs may serve them better in the long run. Once Dropbox understood that big picture, they had to recalculate the strategic importance of cloud computing to their organization.
• Size matters.  As  Wired  lays out in  its article detailing the move , cloud businesses are not charities. There’s always going to be a margin, a margin somewhere. If a business is big enough — like Dropbox — it may make sense to take on the difficulties of building a massive in-house network. But tension enormous risk, an enormous risk for businesses that aren’t big enough, or whose growth may stall.

#5 GitLab: Cloud to Cloud

GitLab’s core application enables software development teams to collaborate on projects in real time, avoiding both handoffs and delays. GitLab wanted to improve performance and reliability, accelerating development while making it as seamless, efficient, and error-free as possible. While they acknowledged Microsoft Azure had been a great cloud provider, they strongly believed that GCP’s Kubernetes were the future, calling it “a technology that makes reliability at massive scale possible.”

• Containers are seen by many as the future of DevOps.  GitLab was explicit that they view Kubernetes as the future.   Indeed, containers provide notable benefits, including a smaller footprint, predictability, and the ability to scale up and down in real time. For GitLab’s users, the company’s cloud-to-cloud migration makes it easier to get started with using Kubernetes for DevOps.
• An enormous benefit, improved stability and availability can be an enormous benefit of cloud migration. In GitLab’s case, mean-time between outage events pre-migration was 1.3 days. Excluding the first day post-migration, they’re up to 12 days between outage events. Pre-migration, they averaged 32 minutes of downtime weekly; post-migration, they’re down to 5.

#6 Cordant Group: Bare Metal to Hybrid

– Migration objective

Over the years, the Cordant Group had grown tremendously, requiring an extensive IT infrastructure to support their vast range of services. While they’d previously focused on capital expenses, they’d shifted to looking at OpEx, or operational expenses — which meant cloud’s “pay as you go” model made increasing sense. It was also crucial to ensure ease of use and robust data backups.

• Business and user needs drive cloud needs.  That’s why cloud strategies will absolutely vary based on a company’s unique needs. The Cordant Group needed to revisit its cloud computing strategy when users were unable to quickly access the files they needed. In addition, with such a diverse user group, ease of use had to be a top priority.
• Cloud ROI ultimately depends on how your business measures ROI.  The strategic importance of cloud computing in business organizations is specific to each organization. Cloud became the right answer for the Cordant Group when OpEx became the company’s dominant lens.

#7 Shopify: Cloud to Cloud

Shopify wanted to ensure they were using the best tools possible to support the evolution needed to meet increasing customer demand. Though they’d always been a cloud-based organization, building and running their e-commerce cloud with their own data centers, they sought to capitalize on the container-based cloud benefits of immutable infrastructure to provide better support to their customers. Specifically, they wanted to ensure predictable, repeatable builds and deployments; simpler and more robust rollbacks; and elimination of configuration management drift.

• Immutable infrastructure vastly improves deployments.  Since cloud servers are never modified post-deployment, configuration drift — in which undocumented changes to servers can cause them to diverge from one another and from the originally deployed configuration — is minimized or eliminated. This means deployments are easier, simpler, and more consistent.
• Scalability is central to meeting the changing needs of dynamic e-commerce businesses.  Shopify is home to online shops like Kylie Cosmetics, which hosts flash sales that can sell out in 20 seconds. Shopify’s cloud-to-cloud migration helped its servers flex to meet fluctuating demand, ensuring that commerce isn’t slowed or disrupted.

Which Cloud Migration Strategy Is Right for You?

As these 7 case studies show, cloud strategies are not one-size-fits all. Choosing the right cloud migration strategy for your business depends on several factors, including your:

• Goals. What business results do you want to achieve because of the migration? How does your business measure ROI? What problems are you trying to solve via your cloud migration strategy?
• Business model.  What is your current state? What are your core products/services and user needs, and how are they affected by how and where data is stored? What are your development and deployment needs, issues, and constraints? What are your organization’s cost drivers? How is your business affected by lack of stability or availability? Can you afford downtime?
• Security needs.  What are your requirements regarding data privacy, confidentiality, encryption, identity and access management, and regulatory compliance? Which cloud security challenges pose potential problems for your business?
• Scaling needs.  Do your needs and usage fluctuate? Do you expect to grow or shrink?
• Disaster recovery and business continuity needs. What are your needs and capabilities in this area? How might your business be affected in the event of a major disaster — or even a minor service interruption?
• Technical expertise.  What expertise do you need to run and innovate your core business? What expertise do you have in-house? Are you allocating your in-house expertise to the right efforts?
• Team focus and capacity.  How much time and focus can your team dedicate to the cloud migration effort?
• Timeline.  What business needs to constrain your timeline? What core business activities must remain uninterrupted? How much time can you allow for planning and testing your cloud migration strategy?

In short, with the list of questions above and 7 case studies of companies’ successful cloud migrations. You can start with a plan, understanding the goals and desires of your business. Learn the right tools to lead you to cloud strategies and solutions that will work best for your business.

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Spotify: The future of audio. Putting data to work, one listener at a time.

About Spotify

A Google Cloud customer since 2016, Spotify is the most popular global audio streaming subscription service with 248m users, including 113m subscribers, across 79 markets. Spotify is the largest driver of revenue to the music business today.

Spotify exemplifies the new era of scaling a business. It launched a music-streaming service in late 2008, surpassed 1 million customers in early 2011, and today offers 248 million monthly active users in 79 markets access to more than 50 million songs and podcasts.

That’s technology-driven hypergrowth by anyone’s standard. Equally striking, though, is the way Spotify has continued to innovate its offering, while adhering to the enduring principles for growing and sustaining a successful business: Pay attention to the customer. Find new ways to delight them. Use your comparative advantage, doubling down on the things you are best at, and find good partners to handle other work. Focus on scaling your culture even as you scale your technology.

Those old truths may be even more urgent in the digital age. Streaming audio is a competitive business, requiring fast product development, customer understanding, and powerful tools for things like recommendation, music discovery, and connecting people. Besides helping people find new music and podcasts, Spotify helps artists connect with fans and collaborate with each other.

Google Cloud is proud to support Spotify’s increasing diversification and success. In 2016 we worked together to move 1200 online services and data processing DAGs (directed acyclic graphs) as well as 20,000 daily job executions, affecting more than 100 Spotify teams, from Spotify’s data centers to the cloud. Today, Spotify’s customers listen to billions of daily plays of music and podcasts leveraging Google Cloud’s global network.

By employing automated, developer-friendly services on Google Cloud, Spotify’s teams could focus better on its core business, while gaining access to services, like data analytics, on which it could grow.

“Google Cloud removes a lot of the operational complexity from our ecosystem. That frees up time,” said Tyson Singer, vice president of technology and platform at Spotify. “We can iterate quicker on key needs, like data insights and machine learning. Having infrastructure managed for us, with the lower-value details taken away, streamlines our ability to concentrate on what’s important to our users and give them the experiences they know and love about Spotify.”

Spotify, not surprisingly, has a very engineering-driven culture, with almost half of its staff focused on building, launching, and maintaining its products. With major research and development offices in Boston, Gothenburg, London, New York, and Stockholm, the size of its workforce matches the global scale of its business. That requires a culture of collaboration and swift execution. In the fourth quarter of 2019, Spotify reported 271 million monthly users and 124 million Premium subscribers, a record, continuing its history of global growth.

Effective data use that preserves customer privacy even as the services scale is another core part of the process. Some of that increase is from a growing user base, but even more is from effective understanding of the customer experience on Spotify. The engineering brilliance that matches data-driven insights with improved customer experiences is increasingly easier and faster on the cloud.

Robust building blocks that exist on top of core data storage, computing, and network services help take away much of the backend hassle on the way to new product creation. Spotify’s technology leaders point to the particular importance of BigQuery, the Google Cloud data analysis tool, as well as Pub/Sub, for faster software application development. Dataflow, for real-time and historical data analysis, has also been particularly useful.

Much of that data goes towards solving the tricky issue of personalization in new ways. Data privacy is at the core of Spotify’s development activities as it seeks to offer music lovers new ways to find the sounds they love and connect with artists. Podcasting, a recent groundbreaking effort, relies even more on robust discovery to discern things like topics, creators, and user interest levels.

For artists, the ability to find and connect with fans, or work on new material with other musicians, is another dimension of data-driven discovery. Artists on Spotify have access to dashboards that let them gain knowledge about their fans and other artists, which helps them make better-informed decisions about everything from where to plan their upcoming tour to when to drop their next release.

Ultimately, it is great user experiences that powers a business. In the past year alone, the number of Spotify’s premium subscribers has grown by 29 percent . The company credits growth in new markets, as well as innovative new products, for the increase.

Underlying Spotify's growth is its commitment to experimentation and innovation. Being able to go faster and to more efficiently test a wide spectrum of new features and ideas means Spotify will be able to focus its DNA of creativity and excellence on even more innovative experiences for its happy listeners.

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Top 10 Cloud Migration PPT Templates with Examples and Samples

Do you know that 6 of 10 corporate data across the globe is stored in the cloud? Are you aware that cloud data centers are responsible for approximately 3% of the world's energy consumption? Also, cloud infrastructure services generate $178 billion in revenue each year. 

All these facts prove the rising popularity of cloud technologies. The objectives of moving to the cloud vary from better cost savings to enhanced performance to improved agility. It also has countless benefits, such as:

• Optimized costs
• Better compliance
• Improved security
• Flexibility and scalability
• Enhanced backup, recovery, and failover
• Simpler management and monitoring

The only way to enjoy these benefits is by ensuring that the cloud migration process is smooth and seamless. For that, you need templates designed by SlideTeam that can help during the planning stages. Below, you can find the top 10 cloud migration PPT templates with samples and examples. 

Do you need a detailed migration plan, too? Choose from the top 10 migration plan templates with samples and examples . 

You can edit them at your convenience and save considerable time and effort. You can also download the bundles or a single slide, as per your requirements. There is no obligation or pressure. 

Are you looking for help with cloud strategy creation and implementation, too? Pick one or more from the top Cloud Strategy Roadmap Templates.  

Template 1: 3 Stage Cloud Platform Migration Process

The cloud migration process can be divided into three critical stages- Discovery and Planning, Building a Migration Plan, and Production and Stabilization. All these stages are available in this deck. You can also see some sub-stages like identifying constraints and dependencies in doing risk identification analysis and risk documentation in the Discovery and Planning stage. You can edit all the sections as per your needs with a few clicks.

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Template 2: Benefits of Adopting a Cloud Migration Strategy

If you want to focus on the benefits of adopting a cloud migration strategy, then this deck is perfect for you. It helps focus on key elements like consumption-based pricing, computing on demand, affordability, automation, scalability, and self-access. You can also change any of these benefits or add to them to make your point heard.

Template 3: PowerPoint Presentation on Migrating to Serverless Cloud Computing

Want to present an informational PPT on various topics? Using this PowerPoint presentation is a good choice. This creative deck focuses on and implements best industry practices, thus providing a bird's eye view of the topic. Encompassed with forty-nine slides, designed using high-quality visuals and graphics, this deck is a complete package to use and download instantly. What’s more amazing is that all the slides offered in this deck are subject to innumerable alterations. You can do everything from modifying the color of the graphics to changing the background as per your needs and requirements. It is ideal for every business vertical.

Template 4: Cloud Migration Framework PowerPoint Presentation

This comprehensive PPT preset is designed to streamline and optimize your migration journey to the cloud. In this all-inclusive deck, you will find key aspects such as the Cloud Migration Assessment Framework, Google Cloud Migration Framework, Microsoft Cloud Migration Framework, Cloud Migration Framework Azure, and AWS Cloud Adoption Journey Phases. This deck also offers valuable insights into each framework, guiding you through the process of assessing your organization's readiness for migration, selecting the most suitable cloud provider, and outlining a step-by-step plan for a successful migration. Whether you are a small business or an enterprise, this PowerPoint presentation equips you with the knowledge and strategies to make informed decisions, minimize risks, and ensure a seamless transition to the cloud.

Template 5: Google Cloud Migration PowerPoint Presentation

Want to deliver an impressive presentation? You can use this amazing Google Cloud Migration PowerPoint PPT. Use this slide to present many vital topics for discussion, such as Migration to Google Cloud, Best Practices for Successful Cloud Migration, Phases of Google Cloud Migration, Categories of Google Cloud Migration, etc. This presentation has 20 slides, and each component of each slide can be edited as per your needs. What’s more is that it’s compatible with Google Slides too!

Template 6: Cloud Migration Roadmap PPT

It’s simple to deliver a credible and compelling presentation by deploying this Cloud Migration Roadmap PowerPoint PPT. It covers essentials like cloud migration types for workloads map, a security roadmap for cloud migration strategy, a roadmap for cloud migration tools usage, practices for data-driven cloud migration, and methods to secure cloud migration process roadmap, among others. The 22-slide slideshow helps you present a thorough explanation of the topic, and you can edit each element of each slide as per your requirements.

Template 7: On-Premises to Cloud Migration Process Steps

Each cloud migration process has several steps that need to be completed to make it a success. This deck covers it. It focuses on identifying the client’s on-site blueprint, tracking reliabilities, and choosing network and storage upgrades, advising optimization routes for workload and cost modeling, selecting the best cloud computing model, and creating a cloud migration strategy and plan.

Template 8: Well-Architected Framework of Cloud Migration

This deck explains the five stages of cloud migration. They are readiness, discovery, design, migration, and optimization. Readiness falls under migration readiness assessment, discovery falls under migration readiness, and planning design and migration are parts of the migration category. Optimization is under the post-migration category. Each of the stages also has a couple of tasks that need to be completed. For instance, the design stage includes identifying a cloud platform, assessing workload architecture, and developing a migration plan.

Template 9: Cloud Migration Framework with Key Outputs

This deck also shows a cloud migration framework with key outputs. It covers Strategy and Architecture, Analysis and Planning, Design, Development and Integration, and Deployment. Each stage has different components, too. For instance, the Strategy and Architecture stage covers Initial Cloud Fit Analysis, which is done via data collection, executive workshops, data analysis, and report preparation. The key outputs in this stage are cloud adoption candidates, converged architecture models, etc.

Template 10: RPA Assessment Framework for Cloud Migration

Covering RPA process evaluation, assessment of RPA for business processes, and data migration suggestions, this deck is a creatively crafted choice. Each stage has several elements, too. For instance, the RPA process evaluation stage covers analyzing the cloud architecture performance, identifying related risks, and developing an application portfolio. In contrast, the stage of accessing RPA for business processes consists of conducting a re-hosting compatibility assessment and redesigning cloud architecture with a codebase.

Final Words

Cloud migration enables organizations to modernize their IT infrastructure, improve operational efficiency, and better position themselves to innovate and compete in today's digital landscape. Therefore, use SlideTeam’s PPT presets to transition an organization's data, applications, and processes from on-premises infrastructure to cloud-based infrastructure with ease.

On final note, which of these cloud migration templates and PPTs do you like best? Confused about which one to pick? Download a few and decide. 

PS: Do you need cloud cryptography templates, too? Check out these amazing cloud cryptography templates with samples and examples.

Related posts:

• Top 10 Enterprise Architecture Templates with Examples and Samples
• Top 10 Digital Transformation Strategy Templates with Samples and Examples
• Top 7 Project Transition Plan Templates with Samples and Examples
• Top 5 Digital Transformation Roadmap Templates with Examples and Samples

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