Converge AWS Cloud Migration Services
Migrate to Modernize
Now more than ever, application modernization is at the heart of an organization’s digital transformation initiatives, and the speed at which they can transform is directly related to their cloud adoption. Converge Technology Solutions’ migrate to modernize philosophy enables our clients to leverage AWS’s platform and services to realize their digital transformation goals.
Organizations can drive innovation in the cloud by leveraging prebuilt services like Amazon Personalize to improve customer engagement or Amazon Forecast for better modeling of inventory and customer product demand. Overall, we are seeing clients migrate to modernize work from home capabilities with services like Amazon WorkSpaces, or leverage VMware Cloud on AWS to reduce data center footprint for operational agility and use total cost of ownership (TCO) savings to fund modernization efforts.
Converge’s AWS cloud migration consulting and services delivery team leverages AWS programs and best practices to de-risk and accelerate the adoption of an AWS cloud-first strategy, which allows organizations to achieve their innovation and digital transformation goals.
AWS Migration Case Study
Common AWS Migration Activities
- Conduct Migration Readiness Assessment with all key stakeholders
- Leverage AWS and Converge funding programs for application modernization proof of value (POV) and pilots
- Review of workloads to determine appropriate migration type
- Conduct AWS Immersion Days for overview of commonly used Amazon services:
– Amazon Landing Zone and AWS Control Tower
– Elastic Compute Cloud (EC2) for distributed applications — leverage auto-scale for part of application
– Simple Storage Services (S3) for application object storage and backup targets
– RDS for DBaaS and replacing existing RDBMS
- Implement AWS security and governance best practices and ensure understanding of AWS Shared Responsibility Model
- Align migration strategy to workloads and utilize services like Migration Hub, CloudEndure, and Database Migration Service
- Utilize Amazon CloudWatch for monitoring and AWS CloudTrail for logging
- Create formal training plan and cost optimization plan
Our Cloud Practice specializes in AWS cloud native and hybrid migrations. Our capabilities include both professional and managed services and a full suite of assessments designed to support our clients at any stage during their cloud journey.
Our Team of 50+ dedicated experts provide end-to-end support for our clients’ cloud initiatives. Our team is comprised of highly certified AWS cloud specialists that range from consultants to architects to engineers. We have a strong focus on the operational aspects of cloud initiatives, which allows our team of experts to help clients with DevOps, CloudOps, FinOps, Automation, and overall tools rationalization for their cloud adoption.
Our Success drives measurable business outcomes through our strategic, transformative thought leadership coupled with our innovative, multi-vendor, technology solutions.
VMware Cloud on AWS
Converge Technology Solutions accelerates organizations’ cloud migrations by leveraging VMware Cloud on AWS, a jointly engineered hybrid cloud by VMware and AWS. Our unique services for building hybrid clouds, along with our rich heritage in data center solutions and AWS cloud native skills, allow Converge to enable a “migrate-to-modernize” strategy for our clients.
With Converge’s strong capabilities in application modernization and experience helping customers achieve cloud-first directives, our clients can invest the TCO saving gained by leveraging VMware Cloud on AWS to fund their modernization initiatives that power strategic company initiatives.
Converge’s Cloud Advisor program provides our clients with a highly certified AWS resource who turns information from Cost Explorer, or CloudHealth, into Actionable Insight. We ensure all stakeholders have meaningful insight into their AWS consumption.
Custom Dashboards, Reports, and Perspectives
- Monthly Cost Optimization Review Sessions
- Architect to Save
- Identify Cost Savings with 3rd-Party Managed Services
- Top AWS Services Review for Anomalies
- Establish Tagging Best Practices
- Establish Budgets
- Rightsizing Instances Reviews
- Create Perspectives
- Establishing Governance Policies
- Tagging and Governance Customer Case Study
AWS Managed Billing
Management of Billing, No Cost to the Customer, and Assignment of Cloud Advisor
With tens of millions in annual recurring revenue of direct AWS spend under contract, Converge has the experience, expertise, and flexibility to help our clients process cloud consumption billing that aligns to their current procurement process. We provide:
- Review of Spend and Forecast
- Cloud Center of Excellence Reporting for all Stakeholders
- Savings Plans and EDP Negotiations Recommendations
- Save Recommendations for Top 3 Services by Spend
- Support of Customized AWS Invoicing
- Managed AWS Marketplace Purchases to Align with Current Procurement Processes
Download this case study here.
23andMe wants to disrupt the healthcare experience by building a personalized health and wellness experience that caters uniquely to the individual by harnessing the power of their DNA. 23andMe pioneered direct access to genetic information as the only company with multiple FDA clearances for genetic health reports.
23andMe built the world’s largest crowdsourced platform for genetic research, with 80 percent of our customers electing to participate. This platform allows us to accelerate research at an unprecedented scale, while providing information back to participants. Our Therapeutics team leverages this research platform to identify and develop drug targets rooted in human genetics across a spectrum of disease areas, including oncology, respiratory, and cardiovascular diseases.
23andMe, Inc. (23andMe) is a privately held biotechnology company based in Sunnyvale, California. It is best known for providing genetic testing to retail customers.
23andMe collects billions of data points. The medical breakthroughs this data can unlock are limitless. However, legacy storage systems hinder medical research and innovation as they were not designed for today’s modern workflows, that require multiple and often simultaneous access to data. Given the company’s current growth trajectory, 23andMe was challenged to find a solution that is not only able to address their challenges today, but also support them as they scale in the future.
23andMe had most of their non-research computing infrastructure on-premises in a high-performance computing (HPC) environment. Their Cloud Engineering team, SKY, had previously investigated migrating the HPC cluster, used for genomics research, to the cloud. However, cloud storage cost, home grown tooling, managing data locality and ownership led the company to continue investing in their on-premises cluster.
In July of 2020 the SKY team was tasked to build out a migration plan to the cloud for the HPC cluster. They had to develop an architectural design that would address the filesystem and data requirements as well as a design that made financial sense.
It was clear that moving the HPC cluster to AWS would address current challenges of physically maintaining hardware with a limited staff and would reduce the time needed to add compute and storage resources. However, addressing the economics of HPC storage in the cloud and the flexibility of a file system was a big concern.
The SKY team also needed to ensure they could address the research teams concerns of a unified interface for one time and batch job runs analysis and a shared file system for data.
23andMe had already ported some of their jobs from a POSIX filesystem to AWS S3 so a key requirement for the future filesystem would be support of POSIX, Object and Block storage. As part of the solution, 23andMe would also need the ability to rapidly provision file systems without the need to re-configure the environment each time. Additionally, they needed a filesystem that would allow them to preserve users home directories during this process.
Addressing the latency concerns was going to come down to performance testing, however addressing how the 23andMe researchers submit jobs, store and access data and improve the HPC research cluster that was built on old tooling and processes was going to require a mix of AWS native services and third party solutions.
Converge leveraged the AWS Migration Acceleration Program (MAP) to build the business case for change and provide funding that would help accelerate and de-risk the migration project.
During the assess phase of the MAP process, issues around managing the home directories presented a file system challenge. After some initial review of native and 3rd-party options, Converge introduced Weka, an AWS Technology Partner solution available via the AWS Marketplace to the Sky team.
Storing and analyzing large data sets in the cloud, whether it is next-generation sequencing, imaging, or microscopy requires a modern approach for faster insights and better economics. Weka would provide 23andMe a unified file system, accelerate time to insights by eliminating the performance bottlenecks across the Life Sciences data pipeline, while significantly reducing the cost and complexity of managing data at scale.
After a successful POV (proof of value) 23andMe selected WekaFS data management platform to underpin the AWS solution stack.
Results & Benefits:
23andMe made a strategic decision to move their HPC production environment to AWS. The technology collaboration with Converge, Weka and AWS account teams allowed 23andMe to take full advantage of the flexibility and scalability that AWS has to offer, while driving down infrastructure cost and management overhead. Specifically, 23andMe realized the following benefits:
– Dynamically scale performance and capacity up and down based on real-time application requirements utilizing auto-scaling groups, while controlling AWS infrastructure spend on instances
– Support mixed workloads for a multi-petabyte dataset with zero tuning needs
– Seamless integration of flash and S3 storage into a single namespace that scales infinitely
– Access the same dataset across multiple protocols (POSIX, NFS, SMB and S3) at the same time
– Maintain flexibility, as Weka is completely software-defined enabling them to adopt new technologies as they emerge on-premises, hybrid, and in the cloud
With their HPC platform now in AWS, 23andMe can accelerate research without worrying about resource availability, performance, or data management issues.
“Weka was absolutely a slam dunk,” said Arnold De Leon, Operations Manager at 23andMe. “Moving to the cloud comes with a new set of requirements. We (23andMe) needed a solution that was compatible with our existing applications and gave us the performance we required. We chose Weka because the protocols just ran, scale in and scale just worked, and we haven’t found the limits of their performance.”
About Sunkist Growers
Sunkist Growers, Incorporated is an American citrus growers’ non-stock membership cooperative composed of 6,000 members from California and Arizona. It is currently headquartered in Santa Clarita, California.
Sunkist Growers (Sunkist) is the largest fresh produce shipper in the United States, the most diversified citrus processing and marketing operation in the world, and one of California’s largest landowners. They market fresh oranges, lemons, limes, grapefruits, tangerines, and strawberries to 12 states and three Canadian provinces from 6,000 growers in California and Arizona.
Through licensing agreements, Sunkist has rented its trademark to other firms for marketing more than 600 mainly citrus-flavored products including soft drinks & juice drinks, vitamins, and jellies & candies, in more than 50 countries.
Sunkist Growers had an impending hardware refresh of aging equipment in a colocation facility as well as the need to re-platform a business-critical application. Given the significant investment in new hardware, Sunkist decided to look at the economics of migrating to public cloud.
Based on their strong, trusted relationship with Converge for services including colocation, connectivity, and disaster recovery, Sunkist engaged Converge to help determine the potential TCO benefits they could realize by migrating to public cloud.
Because Sunkist had very aggressive timelines for implementation and wanted to ensure minimum disruption in operational support for the re-platform of the business-critical application, they decided to look at VMware Cloud on AWS.
Working closely with the VMware and AWS technical teams, Converge executed a 14-day proof of concept, along with a complete TCO analysis detailing the acceleration of Sunkist’s cloud migration by implementing VMware Cloud on AWS. They would realize operational consistency with on-prem SDDC, seamless large-scale workload portability, and direct access to AWS-native services.
To enable Sunkist to move from proof of concept to production quickly and successfully, Converge provided a hybrid cloud readiness assessment, hybrid cloud integration services, and a review of their VMware Cloud on AWS managed services.
After Sunkist determined a VMware Cloud on AWS hybrid cloud solution would meet their business goals and drive TCO savings, the Converge delivery team leveraged VMware HCX to accelerate their migration to the cloud. Converge provided AWS operational support and implemented AWS Direct Connect, as well as S3 native services, as part of the solution.
Sunkist was able to leverage existing third-party offerings including Citrix, via AWS Marketplace, and Veeam in their new hybrid cloud solution. Additionally, Converge was selected as the VMware Cloud on AWS managed service provider for their service desk.
Results & Benefits
The decision to implement VMware Cloud on AWS allowed Sunkist to migrate their business-critical applications to the cloud more efficiently than standing up new hardware in their colocation. This solution will provide a three-year TCO savings of 25%.
A global bank is the largest source of multilateral development financing for Latin America and the Caribbean, supporting economic development, social development, and regional integration by lending to governments and government agencies, including State corporations. The Bank is owned by 48 sovereign states, which are its shareholders and members. It provides loans, grants, guarantees, policy advice, and technical assistance to the public and private sectors of its 26 borrowing member countries.
The Bank has gathered structured and unstructured documentation regarding its various initiatives and projects over many years. Valuable insights and observations have been captured within this vast body of documentation around the context of “Lessons Learned”. They needed a solution that would quickly search tens of thousands of documents and surface the “Lessons Learned” to help ensure future success. Critically, a multi-lingual solution was required, as the Bank operates in four languages (English, French, Portuguese, and Spanish).
Converge was engaged to migrate the Bank’s legacy application and build an internal search engine specific to their needs. An outdated legacy system written in J2EE on IBM WebSphere Application Server was found to be unwieldy and lack the agility to scale to the processing and data analytic demands of new projects and ventures.
The Bank had previously successfully partnered with Converge on a cloud migration project for an AI-driven advanced search application rewritten for cloud deployment, to help locate Subject Matter Expert staff members with tacit knowledge within the Bank. Deep Machine Learning, Natural Language Processing, and additional artificial intelligence techniques drive the underlying document parsing, indexing, and ranking. These AI technologies create an autonomous pipeline for intuitive, accurate, context-aware searches. Converge was selected to repurpose these AWS-based AI capabilities and user experience toward the migration and modernization effort of the development of “Lessons Learned”.
The application was migrated from the Bank’s existing on-premise IBM WebSphere Application Server to AWS. Converge developed a system which provides a cross-language search experience that identifies key insights and knowledge (“Lessons Learned”) from prior financing projects. The team leveraged several neural network models to provide query expansion and semantic search across the four different languages. Customized word2vec word embeddings and transformer models are the AI/ML engine of this solution.
The four-language “Lessons Learned” search engine provides contextual, intelligent, and accurate searches using and training AI & machine learning models. It includes an administrative dashboard with “likes”, general activity metrics, and case definition for integration with other services.
The system delivers advanced AI/ML features for Boolean Searches, prioritized search algorithms, search by objectives, similar lessons, and semantic queries, by leveraging many AWS services, including core AWS services of API Gateway, Elasticsearch, and SageMaker.
Results & Benefits:
The Converge team delivered a revolutionary user experience in search technology for the Bank. With one click, users can identify similar and related lessons across four languages, with a search powered by cutting-edge deep learning models.
The fully functional API also serves content across numerous services at the Bank. This AWS-native application uses infrastructure-as-code for DevOps, is fully integrated with bank ETL pipelines, and is automatically updated using state-of-the-art DataOps and ModelOps processes.
The Bank has high hopes this custom trainable Lessons Learned quad-lingual search engine can be expanded to serve multiple AI/ML models of a host of applications across the Bank.
Download this case study here.
QUODD Financial Information Services is a leading provider of financial market data and information analysis tools for the wealth management industry. QUODD’s real-time, interactive data workstation is equipped with robust tools that enable wealth managers to easily analyze market data to derive and capitalize on market insights.
In addition, QUODD’s direct and normalized data offering can be seamlessly integrated into a firm’s existing technology applications, including other third-party software. This gives firms cost-effective, flexible access to market data from all asset classes around the globe.
QUODD Financial Information Services, a Financeware company, is a global financial market data provider. QUODD strives to provide affordable, comprehensive financial market data to their clients.
QUODD, like many IT organizations, leveraged a managed services provider with colocation services for their IT infrastructure. Their applications were deployed on a mixture of virtual machines on VMware hypervisor and stand- alone servers on Intel hardware. The nature of QUODD’s financial business application requires a high-quality, low-latency, Multicast IP distribution network. This allows QUODD to provide their customers with real-time market data.
QUODD’s current IT infrastructure strategy was too costly to support their growth and acquisition initiatives. The on-premise hardware budgeting and refresh cycles was not the best financial model for their capacity requirements. They also wanted to accelerate the modernization of their proprietary applications and look for innovation opportunities which were limited by their current colocation partners and managed service providers.
QUODD needed to find a solution that allowed them to reduce the operational cost related to their six datacenters and be flexible enough to support new company acquisitions as well as divestitures. QUODD had considered public cloud as a solution; however, their requirement for low latency and support for multi-cast network streams limited their options.
Gregory Reisert, a Converge Client Executive with an extensive market data experience, identified that a traditional IT solution was not aligned with QUODD’s future growth goals. Converge recommended Amazon Web Services as the cloud provider of choice due to the fact that AWS could address QUODD’s strategic goals around company growth, improved EBDITA, and innovation driven by modernization.
Converge identified the key to successfully migrating QUODD’s current workload was support of multi-cast network streams and an education and operational model that established a comfortable timeline for migration and use of AWS.
The Converge AWS specialist team quickly established why AWS was the best solution by conducting a proof of concept of AWS Transient Gateway Services to address the multi-cast network streams requirement and engaging the AWS Financials Services team who were able to demonstrate why selecting AWS as their public cloud provider would help them meet their innovation goals.
Converge created a migration plan that included an initial assessment and discovery session that produced a comprehensive ROI output for the client to ensure the financial benefits would be realized.
A prescriptive learning program was created for QUODD which included items such as an AWS Immersion Day to base-line their team’s knowledge on the primary AWS services that would be used and Converge’s Cloud Advisory program so cost optimization and governance best practices were implemented early.
The overall migration plan included Landing Zone creation, use of AWS services such as S3 & EBS for storage, AWS GuardDuty for threat detection, AWS CloudWatch, & CloudTrail for monitoring & logging.
Results & Benefits:
Now that they are on AWS, QUODD provides enhanced market data services to its customers. Innovating with AWS has also extended to their customer facing applications which are now available in AWS Marketplace.
The AWS migration plan created by Converge for QUODD:
– Eliminated capital expenditures associated with hardware refreshes
– Improved security, compliance & operational resilience (AWS Shared Security Model, consistent monitoring & logging)
– Provides a modernization platform that leverages AWS innovation in financial services and potential partnership with market data providers in AWS
– Supports a flexible IT platform that supports organic growth and acquisition and eliminates stranded IT cost associated to divestitures
Every second of the day, tens of thousands of songs begin to play in every corner of the world, creating trillions of performance transactions each year. Most songs have multiple rights owners of composers, writers, lyricists, and publishers, each with their specific complex ownership percentages, payment instructions, and tax distribution details.
A Performance Rights Organization (PRO) owned and run by its members is the world leader in performance royalties. The Company licenses songs & scores to the businesses that play them publicly. They distribute the money as royalties and use cutting-edge technology to process over one trillion performances every year, more than any PRO in the world.
The rise in digital consumption places tremendous strain on the Company’s data center with finite processing capacity. The ever-increasing complexity of performance rights licensing, rapid digital transformation, diversification of distribution channels, proliferation of intermediaries, and disruptions from new competitors propelled the Company to embark on their cloud journey to achieve necessary agility, scalability, and economy.
The Company needed a capable trusted partner to help them navigate the increased complexity of performance rights licensing, rapid digital transformation, diversification of distribution channels, proliferation of intermediaries, and disruption of new competitors. To be truly successful in their mission, the Company must also succeed in advancing their agile development processes, modern cloud architecture, development techniques, continuous integration continuous delivery tooling, robust security-first mindset, automated testing, strong cloud economics, and a sophisticated DevOps culture.
In March 2017, Converge worked with the Company to build a “Cloud-Native Matching Engine” proof of technology (PoT). This produced an impressive Python application, showcasing the enormous potential of AWS.
In September 2017, Converge kicked off the successful development of the Company’s first cloud-native International Distribution Application (IDA) to process hundreds of millions of payment records for $300M+ of revenue from around the world.
With these and other successes, Converge completed an Enterprise Cloud Advisory and Migration Strategy Project with recommendations approved by the Company’s Board to adopt the All-In-Cloud strategy. This began a three-year effort to completely leave their data centers.
In 2019 and 2020, we helped revitalize the agile application development processes at the Company and led many AWS-native application development projects, including: Online Member Enrollment; Cloud-Based Payment Gateway; Cue Sheet Processing System; Enterprise Authentication, Authorization, & Auditing with AWS Cognito; Enterprise ElasticSearch Services; Member Access Portal Modernization WebSphere WAS to AWS; Enterprise DevOps Center of Excellence & Platform Engineering; and QA Automated Testing.
The Company will have completed its All-In-Cloud journey on schedule in 2021.
Results & Benefits:
The Company found the right partner in Converge as they embarked on their digital transformation. Their goal was not only to migrate to the cloud, but also to build modern AWS-native applications. They are succeeding in advancing their agile development processes, modern development techniques, continuous integration/deployment tooling, advance security, automated testing, strong cloud economics, and sophisticated DevOps culture. As a consulting service provider, Converge has become a trusted advisor for the Company.
A financial market Self-Regulatory Organization (SRO) is dedicated to protecting investors and safeguarding market integrity that facilitates vibrant capital markets. The Company provides regulatory services by contract to NYSE, NYSE MKT, NYSE Arca, NASDAQ, NASDAQ Options Market, NASDAQ OMX PHLX, NASDAQ OMX BX, ISE, the Boston Options Exchange (BOX), the EDGA and EDGX Exchanges and Direct Edge®. As such, the Company has surveillance oversight of more than 90% of the listed equities market. They also provide regulatory services to the Chicago Board Options Exchange® (CBOE®) and C2 Options Exchange (C2).
Applying a variety of data-gathering techniques, a financial self-regulatory organization (Company) works to uncover insider trading and any strategies used to gain an unfair advantage. The Company invests in innovative technology to build sophisticated surveillance systems, process extraordinary amounts of data, and work with cutting-edge applications, programs, and hardware.
The Company’s surveillance workspace system is a key brokerage firm regulatory system providing active surveillance for financial operations and sales practice activities. The legacy system was a highly complex, decade-old proprietary system written in J2EE on IBM WebSphere Application Server and Oracle RDBMS. This system lacked the ability to adapt quickly to the ever-changing business models of financial firms or the dramatic increase in corresponding data volume.
To handle the complexity of their legacy system, Converge worked with the Company to migrate their surveillance workspace system using a two-phase approach.
Phase 1: Modernize the J2EE application and migrate to AWS, and allow the data layer, including Oracle RDBMS to remain on premise.
Phase 2: Further refactor the app with new data drivers and replace the Oracle DB and other data services with AWS-native data services to remove all dependency on on-premise infrastructures.
Results & Benefits:
The Company was able to entirely remove IBM WebSphere and Oracle from the architecture of the application. It now operates as an auto-scalable, AWS-native system with significant advances in price-performance and business agility. Since 2007, Converge has been and continues to be a trusted technology partner to the Company, providing thought leadership in both technology and regulatory domain expertise. The successful migration of the surveillance workspace system aligns well with the Company’s All-In-AWS Strategy.
Resources and Content
Cloud Native Journey on AWS
Reimagining the Desktop Experience for the Modern Workplace (Part 1)
by Mick Bisignani
Dec 16, 2021
App Modernization Is Key to Successful Cloud Migration
by John Flores
May 13, 2021
Work from Home and the SaaS Imperative
by Mick Bisignani
Feb 11, 2021
What Does Multicloud Look Like in the New Era?
Jan 11, 2022
Reimagining the Desktop Experience for the Modern Workplace (Part 2)
by Mick Bisignani
Dec 23, 2021
Cloud as IT Oxygen: 2021 Predictions
by Mick Bisignani
Apr 8, 2021
How Digital Transformation Can Be Powered by CloudIT
by Mick Bisignani
Jan 6, 2021
Latency. The Cloud Experience Killer!
by Owain Parker and Jason Asbell
Dec 14, 2021
Finding Peace in Cloud Migrations
by Paul Ward
May 26, 2021
Can the Cloud Save Our Economy?
by Phil Turner
Mar 11, 2021
No Need To Go It Alone – Your Cloud Journey
by Steve Gruber
Dec 8, 2020