Cloud infrastructure & DevOps
Cloud Infrastructure & DevOps
for Reliable Software
SensViz plans, builds, migrates, and improves the cloud infrastructure and delivery practices behind business software. We connect architecture, deployments, security, cost controls, and operations so your applications are easier to run, change, and support.
Make the operating model clear
Choose a cloud path that fits the workload, not the trend
Moving to the cloud is not automatically the answer. The right path depends on what the software does, who relies on it, what data it handles, how it connects to other systems, and how much change the business can absorb.
SensViz begins with the decision, not the migration. We assess the current environment, dependencies, technical constraints, operating needs, and practical options before recommending what to retain, retire, replace, migrate, modernize, or build.
- Release work is slow, manual, or difficult to reproduce across environments
- Reliability, performance, security, or recovery expectations have outgrown the current setup
- The software needs to integrate with cloud services, data platforms, AI capabilities, or distributed teams
- Cloud spending, access, ownership, monitoring, or operational responsibility is unclear
What we help you plan, build, and operate
Infrastructure and delivery practices built around day-to-day operations
The right scope may be a focused assessment, a migration plan, a platform foundation, an application modernization effort, or an ongoing improvement programme. SensViz defines the work around the actual software, people, risks, and outcomes involved.
Cloud strategy and workload assessment
Clarify goals, inventory workloads and dependencies, identify constraints, and decide what should be retained, retired, replaced, migrated, modernized, or newly built.
Cloud architecture and foundations
Design practical environments, network and access boundaries, identity, secrets, backups, logging, monitoring, and deployment standards that fit the workload and team.
Cloud migration and transition
Plan and execute phased moves for applications, data, and supporting services, with testing, cutover decisions, rollback preparation, and stakeholder communication.
Cloud-native application development
Build or adapt software for cloud environments when managed services, event-driven processing, containers, serverless components, or elastic capacity are justified by the product and operating needs.
Application modernization
Improve older applications through replatforming, refactoring, or rearchitecting when the current design creates operational, performance, security, or maintenance limits.
DevOps and delivery automation
Create repeatable build, test, deployment, infrastructure, and release practices so software and environments can change with more control.
Security, governance, and resilience
Define access, permissions, encryption needs, configuration controls, recovery expectations, audit evidence, and responsibilities around the real risk profile.
Observability, cost, and cloud operations
Make system health, logs, alerts, usage, ownership, and cost visible so teams can operate and improve the environment after launch.
Where cloud work earns its place
Cloud infrastructure that supports a clear business or product need
Launching a new product or SaaS platform
Prepare reliable environments, deployment practices, monitoring, and access controls before customers depend on the product.
Modernizing a business-critical application
Reduce operational friction and technical constraints without forcing a high-risk rewrite before the business case is clear.
Moving data, applications, or integrations
Plan the sequence around dependencies, testing, data handling, cutover, and recovery rather than treating migration as a file transfer.
Improving release reliability
Automate repeatable checks and delivery steps so changes can be reviewed, deployed, monitored, and rolled back with more confidence.
Preparing for analytics or AI workloads
Build the access, data movement, environments, security controls, and operating practices needed before adding data, analytics, or AI capabilities.
Bringing cloud spend and ownership under control
Clarify who owns each environment, how usage is reviewed, where waste may exist, and which tradeoffs are acceptable.
Choose the smallest sound change
Cloud decisions should be made workload by workload
A useful cloud plan does not begin with a universal migration target. It compares the workload's business value, technical condition, dependencies, data, risk, cost, team capability, and required operating model before committing to an approach.
Retain or retire
Keep a workload where it still fits, or safely remove it when it no longer creates enough value to justify support.Replace
Adopt a suitable product when a standard service meets the core need more simply than custom engineering.Migrate or replatform
Move a workload to a new environment with limited application change when the code works but hosting, operations, or platform constraints need to improve.Modernize
Refactor or rearchitect when the software itself limits reliability, performance, security, maintainability, or future delivery.Build cloud-native
Create a new cloud-based capability when the product need is real and the architecture should be designed for the required operating model from the start.From current state to a supportable platform
A staged approach to cloud change
The work moves through clear stages, with review points for architecture, data, security, operational readiness, and business approval. The detail changes with the workload, but the decisions should not be left until the final deployment.
Discovery and assessment
Understand the workloads, users, dependencies, constraints, access, data, risk, and business outcome the environment must support.
From your team: access to the current environment, the people who run it, and the systems it depends on.
Cloud plan and delivery scope
Choose the practical approach, define the first phase, clarify responsibilities, and document assumptions, acceptance criteria, and rollback needs.
From your team: sign-off on the first phase, the split of responsibilities, and the acceptance criteria.
Architecture and operating design
Plan environments, integration boundaries, access, security controls, deployment, monitoring, backup, recovery, and ownership before critical changes begin.
From your team: decisions on accounts, access, security requirements, and who owns each environment.
Build, migrate, and automate
Implement in reviewable increments, test important assumptions, connect the required systems, and automate repeatable delivery work where it helps.
From your team: credentials for connected systems, representative data, and feedback on each increment.
Validate and release
Verify functionality, performance, security requirements, data movement, access, error handling, and operational readiness before production change.
From your team: a cutover window, acceptance testing by the people who run the software, and approval to release.
Handover and continuous improvement
Document the environment, transfer agreed knowledge and access, monitor the result, resolve issues, and prioritise the next improvements.
From your team: the owners for accounts and infrastructure, and the support scope you want to continue with.
Built to be run
A cloud environment is only useful when the team can operate it
The launch is not the finish line. Access, monitoring, change control, recovery, documentation, cost visibility, and ownership determine whether the environment remains dependable as the software, users, and requirements change.
Clear ownership and access
Define who can make changes, approve access, manage secrets, respond to issues, and own each environment and dependency.
Deployment and change controls
Use reviewable delivery practices with environments, version control, testing, release decisions, and rollback procedures proportionate to the risk.
Monitoring and observability
Use meaningful health signals, logs, alerts, dashboards, and escalation paths so operational issues can be detected and understood.
Backup and recovery planning
Agree what needs to be protected, how recovery is tested, and which recovery expectations the business actually needs.
Cost visibility and review
Make usage, environment ownership, and major cost drivers visible so teams can make conscious tradeoffs rather than discover surprises later.
Documentation and handover
Record architecture, access, dependencies, deployment, support scope, and operational decisions the client will need to maintain the environment.
Why SensViz
Cloud choices explained before they become expensive
Cloud work affects product delivery, security, data, cost, and the people who operate the software. SensViz keeps those decisions connected so the chosen approach is understandable to both business and technical stakeholders.
The workload comes before the platform
We start with the software, business rules, users, dependencies, and operating need before choosing services or architecture patterns.
Product and platform decisions stay connected
Application behaviour, data, integrations, environments, deployment, and operations are considered as one working system.
Risk is addressed in stages
The first scope focuses on important journeys, technical unknowns, data dependencies, and rollout risks before change expands.
Ownership is made explicit
The delivery should clarify code, infrastructure, accounts, access, documentation, third-party services, and ongoing responsibilities.
Improvement can continue after release
Support, monitoring, incident response, optimisation, and new platform work can be scoped around the system's real needs.
Choose for the life of the workload
A cloud partner should make operating decisions clearer
A proposal is not enough. Ask how the team will understand dependencies, prepare access and security, control migration risk, test cutover and recovery, document the environment, and support the software after the initial work.
Workload understanding
Can the team explain what the software does, what depends on it, what data it handles, and which business or technical risks matter?
Architecture and migration judgment
Can the team compare retain, retire, replace, migrate, modernize, and build options without treating one path as automatic?
Security and operational readiness
Will access, change control, monitoring, backup, recovery, and responsibilities be planned around the actual environment?
Cost and ownership clarity
Will the client understand the main cost drivers, accounts, third-party dependencies, handover, and ongoing support model?
Related infrastructure, AI, and software services
Choose the service that matches the main job
Cloud infrastructure and DevOps questions businesses ask before changing their environment
Cloud infrastructure and DevOps services cover the architecture, delivery practices, security controls, and operations used to run software, data, and digital products in cloud environments. The scope may include planning, migration, modernization, cloud-native development, automation, monitoring, cost management, and support.
No. The right decision depends on the workload's value, users, dependencies, data, security needs, cost, technical condition, and operating requirements. Some workloads should be retained, retired, replaced, or improved before any move is considered.
Migration moves a workload or its components to a different cloud environment. Modernization improves how the workload is built or operated, for example through replatforming, refactoring, or rearchitecting. A migration can happen without major modernization, and modernization can happen after a move.
SensViz can assess the application, dependencies, data, integrations, access, testing needs, cutover options, and recovery requirements before confirming the appropriate migration scope and delivery plan.
Yes, when a cloud-native approach is appropriate for the product and operating need. The first step is to define the users, business requirements, data, integrations, delivery model, and reliability expectations before selecting an architecture.
The provider and services should be chosen against the workload, existing agreements, team capability, data and security needs, region requirements, integrations, cost model, and operating model. A provider should not be selected only because it is popular.
Security should be planned from discovery through operations. The scope may include identity and permissions, encryption needs, secrets, network boundaries, configuration controls, testing, monitoring, incident preparation, and documented responsibilities, according to the project's risk profile.
Start by making workload usage, environments, ownership, and cost drivers visible. Cost improvement may involve right-sizing, removing unused resources, scheduling non-production environments, selecting appropriate services, and reviewing tradeoffs regularly. The right actions depend on the actual environment.
Ongoing support can be scoped around the system's needs, such as monitoring, incident handling, dependency and security updates, performance work, user support, release assistance, and improvement planning. Exact coverage, availability, and responsibilities should be agreed in the support plan.
Working out what a phase should cost? See AI and software project pricing for how we scope and cost the work.
Start with the workload and the outcome
Let's make the next infrastructure decision clear
Tell us what software you run today, what is changing, where the operating difficulty sits, and what a useful first result would look like. SensViz will review the requirement and recommend whether to retain, retire, replace, migrate, modernize, or build.
