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Cloud Services and Migration

Pharos Production delivers Cloud Services covering migration, infrastructure management, optimization and security across AWS, Azure and Google Cloud.

  • 90+ engineers
  • 28 industries
  • 13+ years in business
96 reviews 138 reviews 11 reviews 54 reviews 19 reviews 5.0 318+ verified reviews

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Aligned with these frameworks. Audit reports and certifications available on request.

Reviewed and updated
Last reviewed July 12, 2026 by Dmytro Nasyrov, Founder and CTO. Content reflects Pharos Production delivery data as of the review date. Editorial policy.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

23+ years in custom software development. Led 110+ projects across FinTech, healthcare, Web3 and enterprise, ISO 27001-aligned team.

What are cloud services?

Cloud services development is the engineering of applications, infrastructure and platforms that run on public clouds (AWS, Google Cloud, Microsoft Azure) leveraging managed services, auto-scaling compute, object storage, managed databases, serverless, container orchestration and cloud-native networking. It covers cloud architecture, migration from on-prem or legacy clouds, cost optimization (FinOps), compliance (HIPAA, PCI DSS, SOC 2, FedRAMP), multi-region deployments, disaster recovery and the security baseline that keeps cloud workloads safe. Pharos has delivered cloud architectures for FinTech, healthcare, crypto, high-load consumer and SaaS platforms since 2016 across all three major clouds.
Authoritative citations 12 sources
  1. DORA State of DevOps Report The Google DORA State of DevOps annual report defines the four key software delivery metrics (deployment frequency, lead time for changes, mean time to restore, change failure rate) that we instrument on every production engagement to benchmark delivery performance. dora.dev
  2. Stack Overflow Developer Survey The Stack Overflow Developer Survey documents language, framework, database and tooling adoption across tens of thousands of engineers annually, and we use the trend lines to validate stack choices against hiring pool depth for each client. survey.stackoverflow.co
  3. ThoughtWorks Technology Radar The ThoughtWorks Technology Radar tracks tools, platforms, techniques and languages across adopt, trial, assess and hold rings twice yearly, and is a cross-check we use to validate architectural recommendations against industry consensus. thoughtworks.com
  4. Google SRE Book The Google SRE book codifies service-level objectives, error budgets, incident response and postmortem culture that our production readiness gates adopt directly when handing over a platform to a client operations team. sre.google
  5. Martin Fowler bliki Martin Fowler's bliki is the most cited reference for enterprise architecture patterns including microservices, strangler fig, CQRS, event sourcing and refactoring, which shapes how we describe and implement architecture decisions in ADRs on every client engagement. martinfowler.com
  6. Gartner Custom Application Services Magic Quadrant Gartner publishes multiple Magic Quadrant reports covering custom application services, digital engineering and outsourced development that identify market leaders, completeness of vision and niche specialists across the global software services industry. gartner.com
  7. ISO 27001 Information Security Standard ISO 27001:2022 defines the internationally recognized information security management system requirements that Pharos Production operates under, shaping the control framework we inherit and extend for client software engagements. iso.org
  8. OWASP Top 10 The OWASP Top 10 ranks the highest-impact web application security risks and is the single most cited threat reference for application security programs, which every Pharos build is reviewed against before production release. owasp.org
  9. NIST Secure Software Development Framework NIST SSDF SP 800-218 defines secure development practices including threat modelling, SBOM generation, vulnerability disclosure and supply chain controls, which we treat as the baseline Software Development Lifecycle checklist on every client engagement. csrc.nist.gov
  10. CNCF Cloud Native Landscape The CNCF Cloud Native Landscape maps the full cloud-native ecosystem across orchestration, runtime, observability, security and database categories, useful reference material we consult when validating platform choices for client Kubernetes and service mesh engagements. landscape.cncf.io
  11. Accelerate by Forsgren, Humble, Kim Accelerate distills the multi-year DORA research program into the book-length case for DevOps practices correlated with high-performance software delivery, and is the single most cited academic reference for the delivery metrics we ship inside every client engagement. itrevolution.com
  12. IEEE SWEBOK The IEEE Software Engineering Body of Knowledge codifies the professional knowledge areas covering requirements, design, construction, testing, maintenance, configuration management and engineering economics that underpin every professional software services engagement. computer.org
What we do not do
  • Lift-and-shift migrations with no re-architecture value (often move the problem, not fix it)
  • Multi-cloud setups that add complexity without business justification
  • Cloud migrations without a cost model and target architecture
  • FinOps engagements without an owner on the client side

Cloud services at Pharos Production at a glance

  • Cloud engagements: 35+ cloud engagements since 2016 (architecture, migration, cost optimization, compliance) across AWS, GCP and Azure
  • Specializations: Kubernetes migrations, multi-region DR, FinOps cost optimization, serverless architecture, compliance (HIPAA/PCI DSS/SOC 2)
  • Stack: Terraform, Pulumi, AWS CDK, Helm, ArgoCD, Prometheus, Grafana, Datadog, OpenTelemetry, Prowler, ScoutSuite
  • Managed services: EKS/GKE/AKS, Lambda/Cloud Functions/Azure Functions, RDS/Cloud SQL, S3/GCS/Blob, API Gateway, CloudFront/Cloud CDN, Cognito/Identity
  • Pricing: Architecture review from $8,000; migration projects $40,000-$150,000+; FinOps engagements $30,000-$120,000; retainers from $8,000/month
  • Timeline: Architecture review 1-2 weeks; migration 2-6 months; cost optimization 4-12 weeks; ongoing support month-to-month
  • Compliance: HIPAA, PCI DSS, SOC 2, ISO 27001, GDPR; Pharos is aligned with ISO 27001
  • Honest scope: We recommend managed PaaS for early-stage and decline multi-cloud projects without business justification

Custom cloud architecture vs managed PaaS: which is better?

Custom cloud architecture on AWS/GCP/Azure gives you full control, cost efficiency at scale and compliance flexibility, while managed PaaS (Heroku, Render, Vercel, Railway, Fly.io) eliminates infrastructure work for early-stage apps. According to a 2024 Gartner report, PaaS adoption is growing fastest at small companies while large-scale SaaS continues to run custom cloud infrastructure for cost and compliance reasons.

Factor Custom cloud architecture Managed PaaS
Infrastructure control Full control over networking, compute, storage, data locality Vendor-managed; limited to platform capabilities
Cost at scale Fixed baseline + marginal cost; spot, Savings Plans, reserved Per-dyno/per-function billing scales linearly
Compliance Data residency, audit logs, encryption controls baked in Inherited from platform; some workloads ineligible
Multi-region Full control over multi-region topology and failover Limited multi-region options
Specialized compute GPU, TPU, bare metal, HPC instances, edge compute Standard compute only in most PaaS
Time to launch 2-6 months for production-grade cloud architecture Hours to a working staging environment
Operational load Requires SRE practice and on-call rotation Vendor handles most operations
Best fit FinTech, healthcare, high-load SaaS, regulated industries, multi-region Early-stage apps, side projects, MVPs, internal tools

Our cloud engineering process

Cloud projects follow Pharos Verified Delivery with cloud-specific gates: discovery includes target architecture + cost model + compliance baseline; build includes infrastructure-as-code with reviewable changes + cost tracking; production readiness covers monitoring, disaster recovery drill and security baseline; support includes quarterly cost reviews and compliance walkthroughs.

Pharos Verified Delivery 4-phase methodology with typical durations and deliverables
  1. Phase 01 / 04

    Paid Discovery

    2-4 weeks
    • Technical validation
    • Architecture proposal
    • Scope refined estimate
    82% on-schedule with discovery
  2. Phase 02 / 04

    Iterative Build

    2-week sprints
    • Working demos every sprint
    • CTO review at milestones
    • ADRs documented
    Transparent progress tracking
  3. Phase 03 / 04

    Production Readiness

    • Monitoring and alerting
    • Security audit Pen test
    • Runbooks and rollback
    ISO 27001 aligned
  4. Phase 04 / 04

    Support

    Ongoing
    • Security patches
    • Performance tuning
    • 4h SLA response
    Continuous improvement

Pharos Verified Delivery applied to 110+ production applications since 2013

Cloud engagements with receipts

Three cloud engagements where architecture, cost or compliance changes produced measurable outcomes.

AWS cost optimization Q4 2024 · SaaS scale-up, US
Before

AWS bill of $87,000/month. Engineering team could not explain where the money went. Reserved instances expired unused. Three idle RDS clusters. Zero cost attribution.

After

AWS bill down to $42,000/month through right-sizing, Savings Plans, spot instances for batch workloads and killing idle resources. Cost attribution dashboards show spend per team and per feature. Zero reliability regressions.

We instrumented Cost Explorer + CUR into a per-service dashboard first. Nothing was cut without a conversation with the team that owned the resource. The idle clusters were the easy win; the compounding savings came from Savings Plans tuned to actual usage patterns.

Multi-region disaster recovery Q1 2025 · FinTech platform, EU
Before

Single-region EKS deployment in eu-west-1. No DR plan beyond snapshots. A region outage would have been a 6-12 hour recovery. Regulators required < 1 hour RTO.

After

Multi-region active-passive across eu-west-1 and eu-central-1 with automated failover via Route 53 health checks. RTO < 12 minutes, RPO < 60 seconds. Quarterly DR drills validate actual recovery time.

We ran a real DR drill in week 6 of the engagement - failed over eu-west-1 to eu-central-1 and measured recovery time. First drill took 47 minutes because of DNS TTL; we tuned it to 12 minutes by the second drill.

Serverless migration Q2 2025 · Consumer marketplace, APAC
Before

Monolithic EC2 deployment with manual scaling. Peak traffic events (flash sales, product launches) caused 20-40 minute timeouts. Over-provisioning cost $14,000/month in idle capacity.

After

Serverless migration to Lambda + API Gateway + DynamoDB for the hot paths, EC2 retained for the admin layer. Zero timeouts during the next 3 flash sales. Idle capacity cost eliminated. Total monthly cost dropped 38%.

Not everything moved to serverless - we identified the request patterns that benefited (bursty traffic, independent scaling) and left the admin layer on EC2 where predictable capacity worked. The hybrid was 38% cheaper than either extreme.

Client names anonymized under NDA. Full case studies at /cases/.

When custom cloud infrastructure is not the answer

We decline roughly 30% of RFPs we receive. Forcing a bad fit costs both sides 3-6 months and damages outcomes. Here is how we think about scope:

Projects we decline
  • Simple apps where Heroku, Render or Railway would eliminate infrastructure work
  • Static sites where Vercel, Netlify or Cloudflare Pages cover the requirement
  • Multi-cloud setups that add complexity without business justification
  • Kubernetes adoption without team expertise to operate it long-term
  • "Cloud migration" without a cost model and target architecture
We recommend managed platforms when they fit

For early-stage products, managed PaaS (Heroku, Render, Railway, Vercel) eliminates infrastructure overhead at 30-50% lower total cost of ownership. Custom cloud architecture makes sense when you need cost optimization at scale, multi-region presence, regulatory data residency, specialized compute (GPU, edge) or a compliance posture that PaaS cannot deliver. We have recommended Heroku over custom AWS on many engagements.

Pharos Production cloud and migration portfolio observations

Observations from 26 cloud migration and modernisation engagements delivered between 2019 and 2026 across FinTech, healthcare, SaaS and e-commerce.

  • Customers who started migrations with a data-gravity map cut unexpected egress bills by 78 percent on average across 9 engagements.

  • Lift-and-shift projects without refactoring showed a 2.4x higher total cost of ownership at 18 months than re-platformed equivalents.

  • Multi-cloud control plane adoption (Crossplane or Terraform with abstractions) reduced vendor lock-in exit time from 9 months to 12 weeks in our three migration-reversal cases.

  • Teams of 5 to 8 engineers completed 50 to 120 workload migrations in 6 to 9 months when backed by a platform team running the landing zone.

Observations reflect the Pharos Production cloud and migration portfolio 2019-2026 and do not generalise beyond surveyed engagements.

Cloud services and migration outlook 2026-2027

Cloud in 2026 is no longer a cost-arbitrage play, it is a reliability, compliance and data-gravity decision. Workloads consolidate around a primary hyperscaler for the control plane, with secondary clouds used for data sovereignty, disaster recovery and AI accelerator capacity.

  • CNCF Landscape 2025 shows Kubernetes, Crossplane, Terraform, OpenTelemetry as the portable control-plane stack across AWS, Azure and GCP[10].

  • Gartner 2024 reports 85 percent of enterprises run multi-cloud, driven by regulatory sovereignty and AI accelerator availability[6].

  • ISO 27001:2022 plus industry addendums (HIPAA, PCI DSS, EU DORA) require documented cloud shared-responsibility matrices for audit[7].

  • Google SRE practice treats regional and zonal isolation, plus documented failure domains, as non-negotiable for production workloads[4].

How to evaluate a cloud migration in 90 days

Before accepting a cloud migration as "done", run this 8-point acceptance check. Missing any target means the migration is incomplete, not production-ready.

  1. Landing zone maturity

    Account and subscription structure aligned with vendor-prescribed landing zone, IAM least-privilege verified.

  2. IaC coverage

    100 percent of production resources defined in Terraform, Pulumi or equivalent, reviewed in PR, drift-detected.

  3. Observability baseline

    Unified traces, metrics and logs with OpenTelemetry across all migrated services[10].

  4. FinOps visibility

    Cost allocation by team, service and environment; anomaly alerts on over 20 percent week-over-week deltas.

  5. Security posture

    CSPM tool integrated, critical misconfigurations at zero, ISO 27001 and CIS benchmarks mapped[7].

  6. Disaster recovery

    Documented RTO and RPO per workload, game-day restore exercise passed.

  7. Data residency

    Data stored in jurisdictions mapped to customer contract and regulator obligations, verified by policy scan.

  8. Exit strategy

    Workloads packaged in OCI images or Terraform modules portable to a second cloud within 90 days.

Anything below 6 of 8 passing means the migration is a lift-and-shift debt, not a cloud transformation.

Lesson from production: the data egress surprise

A healthcare customer migrated 28 TB of imaging data from on-premises to AWS S3 in 2024. The inbound migration was free; the first month of production traffic showed $18,400 in unexpected egress charges because a downstream analytics tool pulled full objects across regions on every query. Root cause: no data-gravity map, no region co-location audit, no CloudFront caching. We moved the analytics tool into the same region, added Origin Access for the minority of cross-region calls and enabled S3 Intelligent Tiering. Next-month egress dropped to $620 and stayed there. The lesson we enforce: every cloud migration needs a data-gravity map before the first byte moves.

How cloud cost savings are calculated
Cloud metrics counted: production workloads with measurable cost baselines. Cost savings measured against 3-month pre-engagement baseline. RTO and RPO targets validated through actual DR drills, not tabletop exercises. Last reviewed: July 2026. Editorial policy.
Important
Pharos Production builds cloud architectures on AWS, GCP and Azure. Cost savings depend on workload characteristics and team ownership post-engagement. Compliance attestations (SOC 2, HIPAA, PCI DSS) are issued by accredited auditors based on the systems we deliver.

Published record

Published Pharos research

Technical articles, comparison guides and methodology deep-dives we write from our own delivery experience.

Platforms we work with

Trusted by Coinbase, Consensys, Core Scientific, MicroStrategy, Gate.io and 10+ more Web3 and enterprise platforms

16+ partners

Our 16 technology partners include:

  • Consensys
  • Gate Io
  • Coinbase
  • Ludo
  • Core Scientific
  • Debut Infotech
  • Axoni
  • Alchemy
  • Starkware
  • Mara Holdings
  • MicroStrategy
  • Nubank
  • Okx
  • Uniswap
  • Riot
  • Leeway Hertz
  • Consensys
  • Gate Io
  • Coinbase
  • Core Scientific
  • Debut Infotech
  • Axoni
  • Alchemy
  • Starkware
  • Mara Holdings
  • MicroStrategy
  • Nubank
  • Okx
  • Uniswap
  • Riot
  • Leeway Hertz

About the founder and CTO

Dmytro Nasyrov

Dmytro Nasyrov

Founder and CTO Pharos Production

Ask the founder a question

I design and build reliable software solutions - from lightweight apps to high-load distributed systems and blockchain platforms.

PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.

  • 13 years in architecture of great software solutions tailored to customer needs for startups and enterprises

  • 23 years of practical enterprise customized software production experience

  • Lecturer at the National Kyiv Polytechnic University

  • Doctor of Philosophy in Artificial Intelligence

  • Master's degree in Computer Science, completed with excellence

  • Master's degree in Electronics and precision mechanics engineering

Choose your cooperation model

Pharos Production offers three project models, MVP, Full-fledged Production and Full-cycle Development, priced from $10,000 to $80,000. An MVP prototype takes about 3 months.

Suitable for the project test
MVP

Core software architecture, initial UI/UX, working prototype in 3 months

$10,000 - $26,000
Popular choice
Suitable in 9 out of 10 cases
Full-fledged Production

Software architecture, UI/UX, customized software development, manual and automated testing, cloud deployment

$26,000 - $50,000
Turnkey development
Full-cycle Development

Comprehensive software architecture and documentation, UI/UX design layouts, UI kit, clickable prototypes, cloud deployment, continuous integration, as well as automated monitoring and notifications.

$55,000 - $85,000

Prices vary based on project scope, complexity, timeline and requirements. Hourly rates range from $35 to $75 depending on role and seniority. Contact us for a personalized estimate.

Interaction models for staff augmentation, dedicated teams and outsourcing

Request staff augmentation

Need extra hands on your software project? Our developers can jump in at any stage - from architecture to auditing - and integrate seamlessly with your team to fill any technical gaps.

Popular choice

Hire dedicated experts

Whether you're building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.

Outsource your project

From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.

187+ technologies

Technologies, tools and frameworks we use

Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.

Our engineers work with 187+ technologies across 10 categories: Frameworks, AI, Blockchains, DevOps, Clouds, Databases, Brokers, Tests, Programming, UI/UX.

  • Frameworks: Spring Boot, Erlang OTP, NodeJS, Phoenix, NestJS, Django, FastAPI, Express.js, React, Next.JS, Svelte, Angular, Vue.js, Remix, Astro, Nuxt.js, iOS, Android, Flutter, React Native, Capacitors, Ionic, Swift, Kotlin, Java, Dart
  • AI: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI, Cohere, Ollama, xAI Grok, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, PyTorch, TensorFlow, scikit-learn, LlamaIndex, Keras, XGBoost, LightGBM, OpenCV, spaCy, ONNX Runtime, Pinecone, Weaviate, Qdrant, Chroma, pgvector, Milvus, FAISS, MLflow, Weights & Biases, DVC, Kubeflow, AWS SageMaker, Azure ML, Google Vertex AI, NVIDIA Triton, Airflow, Ray Serve, vLLM, OpenAI Agents SDK, Claude MCP, Semantic Kernel, Haystack
  • Blockchains: Ethereum, TON, Corda, Tron, Hedera, Stellar, Consensys GoQuorum, Solana, Arbitrum, Binance Smart Chain (BSC), Sei, Celo, Hyperledger, MultiversX, IOTA, Polkadot, Aptos, Neo, Flow, Algorand, Avalanche, EOS, Optimism, Polygon, Cosmos, Sui, Tezos, Ontology, Fantom, NEAR Protocol, VeChain, Base, IPFS, Amazon Managed Blockchain, Amazon QLDB, IBM Blockchain, Oracle Blockchain
  • DevOps: Kubernetes, Terraform, Docker, Istio, Prometheus, Grafana, Jenkins, ArgoCD, Ansible, GitHub Actions, GitLab CI, Pulumi, Datadog, New Relic, Vault
  • Clouds: Amazon Web Services, Azure, Google Cloud, Cloudflare, Vercel, DigitalOcean
  • Databases: PostgreSQL, MySQL MariaDB, Redis, Cassandra, Neo4J, MongoDB, Elasticsearch, Solr, Ignite, ClickHouse, TimescaleDB, DynamoDB, Supabase, CockroachDB, ScyllaDB
  • Brokers: Kafka, RabbitMQ, Flink, Apache Pulsar, Amazon SQS, Amazon SNS, NATS
  • Tests: Postman, Appium, Cucumber, Selenium, JMeter, Cypress
  • Programming: Solidity, FunC, Rust, GoLang, Elixir, Erlang, C++, Java, JavaScript, TypeScript, Scala, Python, C#, .NET, PHP, Ruby, Dart, SQL
  • UI/UX: Figma, Zeplin, InVision, Sketch, Miro, Marvel, Balsamiq, Photoshop, Illustrator, XD, After Effects, Corel Draw

Frameworks

Backend Frameworks 8

Spring Boot
Spring Boot
Erlang OTP
Erlang OTP
NodeJS
NodeJS
Phoenix
Phoenix
NestJS
NestJS
Django
FastAPI
Express.js

Front End Frameworks 8

React
React
Next.JS
Next.JS
Svelte
Svelte
Angular
Angular
Vue.js
Remix
Astro
Nuxt.js

Mobile Apps Frameworks 10

iOS
iOS
Android
Android
Flutter
Flutter
React Native
React Native
Capacitors
Capacitors
Ionic
Ionic
Swift
Swift
Kotlin
Kotlin
Java
Java
Dart
Trusted & Certified

Partnerships and awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
13+ industry awards

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint we hold a retrospective, deliver a progress report and plan the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).

  1. Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  2. MVP

    We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.

  3. Production

    We'll create a complete software solution that is custom-made to meet your exact specifications.

  4. Ongoing

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues and rolling out updates.

Cloud and migration insights

View all articles
Skip glossary

Cloud Services and Migration Glossary 7

Lift-and-Shift
A cloud migration strategy that moves an application to cloud infrastructure with minimal code changes, replicating the existing on-premises architecture on virtual machines in AWS, Azure or GCP.
Infrastructure as Code (IaC)
The practice of defining and provisioning cloud resources through machine-readable configuration files - using tools such as Terraform or Pulumi - enabling version control, repeatable deployments and drift detection.
Re-Platforming
A migration approach that makes selective cloud-native optimizations - such as moving from a self-managed database to Amazon RDS - without redesigning the application's core architecture.
Re-Architecting
A deep cloud migration strategy that redesigns application components as microservices, serverless functions or containerized workloads to fully exploit cloud-native capabilities and elasticity.
Multi-Region Deployment
A cloud architecture pattern that replicates application workloads across two or more geographic cloud regions to reduce latency for global users and meet data-residency compliance requirements.
Disaster Recovery (DR)
A cloud strategy that maintains standby infrastructure in a secondary region, with defined Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets, ensuring business continuity after an outage.
Auto-Scaling
A cloud-native capability that automatically adjusts the number of running compute instances or containers in response to real-time demand metrics, maintaining performance while optimizing infrastructure cost.

Frequently asked questions about Cloud Services and Migration

Last updated:

  • Copy link Copies a direct link to this answer to your clipboard.

    AWS for the deepest service catalog and mature enterprise features. GCP for BigQuery + Kubernetes + ML tooling.

    Azure for .NET-heavy enterprises and Microsoft integrations. The right choice depends on team skills, existing contracts and specific service needs. We are not vendor-exclusive - we run production workloads on all three and will recommend the one that fits your workload, not the one with the biggest kickback.

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    Depends on what you are solving. Cloud migration makes sense when: you need on-demand capacity for bursty workloads, you want managed services to reduce operations, you need multi-region presence, you need specific cloud services (ML, big data, GPU). Cloud migration does NOT make sense for: stable predictable workloads where on-prem is cheaper, regulated workloads where cloud compliance does not fit or lift-and-shift moves that reproduce the on-prem problems in the cloud. We assess fit during discovery.

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    Typical first-year savings from a FinOps engagement: 30-55% on compute through right-sizing + Savings Plans + spot for batch, 20-40% on storage through lifecycle policies, 15-30% on data transfer by fixing architectural issues. Real example: an AWS bill of $87,000/month dropped to $42,000/month after a 6-week engagement.

    We instrument Cost Explorer into a per-team dashboard first so nothing is cut without a conversation.

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    DR targets: Recovery Time Objective (RTO, how fast to restore) and Recovery Point Objective (RPO, how much data loss is tolerable). We design DR to the RTO/RPO the business commits to, not the most expensive option. Multi-region active-active for RTO < 1 minute, cross-region standby for RTO < 1 hour, backup restoration for RTO < 24 hours. We run a real DR drill quarterly - tabletop plans are not DR.

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    Use Kubernetes when you have multiple services with independent scaling needs, multiple teams deploying independently or specialized workloads (GPU, spot, stateful with complex orchestration). Do NOT use Kubernetes if your team has fewer than 3 engineers who can debug it at 3am, if a managed PaaS covers your needs or if you want it as a resume-builder.

    We have recommended Heroku and Render over Kubernetes for many early-stage clients.

  • Copy link Copies a direct link to this answer to your clipboard.

    Yes, where it fits. Serverless (Lambda, Cloud Functions, Azure Functions) wins for bursty traffic, event-driven workloads, scheduled jobs and infrequent requests.

    It loses for steady-state high-throughput APIs (cold starts + cost), long-running computations (15-minute timeout) and workloads needing persistent connections. Most production systems are hybrid - serverless for hot paths, containers or VMs for steady-state services.

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    We design to the specific regulatory framework during discovery - HIPAA requires BAAs and PHI-specific controls, PCI DSS requires segmentation and tokenization, SOC 2 requires audit logs and access review. Pharos infrastructure is aligned with ISO 27001.

    For client projects we use cloud-native compliance tooling (AWS Config, Security Hub, GuardDuty, Cloud Security Command Center) plus third-party tools (Prowler, Wiz, Orca) for continuous monitoring. Accredited auditors issue the actual certifications.

  • Copy link Copies a direct link to this answer to your clipboard.

    We decline lift-and-shift migrations with no re-architecture value, multi-cloud setups without business justification, Kubernetes adoption without operational capacity, cloud migrations without a cost model and target architecture and FinOps engagements without a client-side owner. We also decline "modernization" work without a measured reliability or cost problem.

The Pharos takeaway on cloud migration

Cloud migration in 2026 is measurable: landing zone maturity, IaC coverage, FinOps visibility and documented exit strategy. Pharos Production plans migrations around data gravity, regulatory residency and operating cost, not just workload relocation.

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let's work together!

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Our offices

Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.

We also work with clients through dedicated local teams in Las Vegas, New York and San Francisco.

Las Vegas, United States

Headquarters PT
5348 Vegas Dr, Las Vegas, Nevada 89108, United States

Kyiv, Ukraine

Engineering office EET (UTC+2)
44-B Eugene Konovalets Str. Suite 201, Kyiv 01133, Ukraine

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