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VMware Migrations to AWS
Discover why now is the best time to consider VmWare Migrations to AWS. Our latest blog shows how AWS’s Migration...
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Cost Optimisation
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Benefit from AWS funding to migrate your datacenter workloads to AWS Cloud.
induvidual
upon request
Migrating workloads from the datacenter to the cloud is a significant technical & logistical challenge.
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Analysis of current Datacenter workloads
Design of AWS environment for migrated applications
Design of migration plan, including migration phases & transition processes
Migration of workloads using a move-test-switch approach
Automate your management, scaling & deployment with AWS Elastic Kubernetes Service (EKS)
individualupon request
Atlassian's reference architecture for hosting their applications on AWS is to use AWS's Kubernetes service, EKS. Previously, Atlassian provided CloudFormation templates to set up all components required to host their applications (eg, servers, database, storage, application configuration).
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Assessment of current application hosting architecture (whether on AWS or on-premise)
Design for Kubernetes-based hosting architecture
Interactive Q&A sessions
Qualification for making decisions
Development of deployment templates (eg, Terraform) for defining & automating deployment processes
Migration plan for moving to AWS Elastic Kubernetes Service
Phased Migration to AWS EKS, with minimal service disruption
Reduce your AWS costs by migrating from MS SQL Server to PostgreSQL for your Atlassian applications
individualupon request
Using MS SQL Server on AWS RDS for Atlassian applications is significantly more expensive than open source alternatives (eg, PostgreSQL). The database migration tool provided by Atlassian can have performance and reliability issues, depending on the volume of data to be migrated.
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Assess current database schema, including application add-ons
Configure migration process, customised to your DB schema
Test Migration process for data transfer speed & data consistency
Migrate databases, ensuring minimal service disruption
Implement cost optimisation across your AWS accounts
individualupon request
Workloads running on AWS can have multiple components, each billed separately. For multiple workloads, across multiple accounts, the complexity can make it difficult to track and optimise AWS costs.
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Implement cost tracking & allocation for enhanced visibility
Implement resource management processes to minimise unnecessary spend
Implement consolidated volume discount plans
Migrate VMWare workloads to AWS
individualupon request
Recent changes have significantly increased VMWare licensing costs. For many companies, keeping infrastructure 'as is' is no longer the cheaper option. AWS offers funding programs for migrating VMWare workloads to their cloud platform ,which, together with avoiding the VMWare licensing increases, may make AWS the more cost effective option.
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Assess current VMWare platform in relation to AWS funding programs
Analyse application workloads, & design AWS deployment options
Create a structured migration plan, based on organisational priorities (eg. cost saving, technical enhancement)
CASE STUDY
Efficient Testing of Embedded Software for Safety-Critical Applications
CLIENT Supplier for Automotive Manufacturers
TOOLS Lauterbach TRACE32, TESSY, Jira
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CHALLENGES
The client needed to complete test coverage for a large code base, urgently update their test tool, and adapt existing test cases. Additionally, their test management and build server were not equipped for a larger team.
APPROACH
The test tool and environment were updated, with new tests created and extended. Project management and collaboration tools were also established.
SOLUTION
Efficient quality assurance and processes thanks to suitable tools and a seamlessly integrated test environment that is up to date and supports suitable automation, as well as complete traceability and easy access to documentation and results for smooth collaboration between development and test teams.
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SUCCESS STORY AUTOMOTIVE
Streamlined Development Workflow through GitLab
CLIENT Software Hub of an Automotive OEM
TOOLS AWS, GitLab, Terraform Enterprise
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CHALLENGES
The client faced complex pipelines that caused failures and delays in the CI/CD process, limited scalability and usability with Jenkins, rising maintenance costs, and increased security risks due to manual management of sensitive data.
APPROACH
The existing workflow, tools, and requirements were evaluated, leading to the selection of Terraform Enterprise. A vision, roadmap, and action plan were created for a smooth migration from the legacy system.
SOLUTION
The implementation of Terraform Enterprise significantly improved the developer experience, boosted team efficiency, and enabled faster feature releases without compromising quality.
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SUCCESS STORY AUTOMOTIVE
Infrastructure as Code at Scale with Terraform Enterprise
CLIENT Software Hub of an Automotive OEM
TOOLS AWS, Terraform Enterprise
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CHALLENGES
As the automotive industry embraced digital transformation, the client’s legacy infrastructure-as-code workflow lacked flexibility, slowing innovation and creating complex, time-consuming processes. The need for agility, reliability, and security in cloud operations became essential to meet the demands of modern vehicles.
APPROACH
Improving the overall developer experience (DevEx) as well as minimising resource waste in the cloud.
SOLUTION
Implemented a streamlined development workflow by migrating to Terraform Enterprise. In this competitive industry, this was a critical step to enable a short time-to-market.