CI/CD Pipeline Development
We create automated CI/CD pipelines that improve code integration, testing and deployment. This reduces release delays and ensures quick, dependable delivery of new features.
Explore CI/CD Pipeline DevelopmentReviewed by Dr. Dmytro Nasyrov, Founder and CTO • Last updated April 29, 2026
DevOps
We build DevOps ecosystems that integrate development and operations, accelerating releases and reducing downtime.
- 90+ engineers
- 18 industries
- 13+ years in business
We build DevOps ecosystems that integrate development and operations, accelerating releases and reducing downtime. Our experts implement CI/CD, automate infrastructure and optimize cloud services to keep your product reliable and easy to scale.
Reviewed and updated
Last reviewed by
Dmytro Nasyrov,
Founder and CTO. Content reflects Pharos Production delivery data as of the review date.
Editorial policy.
What is DevOps?
DevOps is the engineering discipline that combines infrastructure-as-code, CI/CD pipelines, observability, incident response and automation to ship software reliably and repeatably. It covers cloud architecture (AWS, GCP, Azure), container orchestration (Kubernetes, ECS), deployment automation (Terraform, Pulumi, ArgoCD), monitoring stacks (Prometheus, Grafana, Datadog, OpenTelemetry), secrets management, disaster recovery and cost optimization. Pharos delivers production DevOps for FinTech, healthcare, high-load consumer and Web3 infrastructure with SRE-grade reliability.
What we do not do:
Authoritative citations 12 sources
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
- Managed platforms where Vercel, Netlify or Render cover 100% of the requirement
- Kubernetes rollouts for teams without someone who will operate it long-term
- Multi-region setups for single-region apps where the complexity has no business value
- Observability projects without SLO commitments (dashboards nobody looks at)
Services
Businesses choose custom software over off-the-shelf products when they need solutions tailored to unique workflows, compliance requirements and growth targets. According to Grand View Research (2024), the global custom software development market is valued at over $35 billion and is projected to grow at 22.3% CAGR through 2030. Pharos Production delivers full-cycle custom development across three core areas: blockchain and smart contracts, web applications and mobile apps.
-
-
Infrastructure as Code Engineering
We define and manage infrastructure with Infrastructure as Code (IaC) tools to ensure consistency, repeatability and full automation of the environment. This method reduces human error and speeds up provisioning across all environments.
Explore Infrastructure as Code Engineering -
Cloud Deployment and Optimization
We optimize and fine-tune cloud environments on AWS, GCP, or Azure to maximize efficiency and control costs. This ensures your applications run securely and smoothly while utilizing resources effectively.
Explore Cloud Deployment and Optimization -
Automated Monitoring and Alerting
We set up real-time monitoring, logging and alerting systems to catch issues before they impact users. This proactive approach improves maintenance and greatly boosts system stability.
Explore Automated Monitoring and Alerting -
Containerization and Orchestration
We package applications into containers and orchestrate them with Kubernetes or similar tools. This method makes scaling easier, improves portability and ensures consistent deployment.
Explore Containerization and Orchestration -
Site Reliability Engineering Support
We apply Site Reliability Engineering (SRE) principles to maintain high availability and reliable performance across our infrastructure. This includes error budgeting, SLA/SLO planning and effective incident response procedures.
Explore Site Reliability Engineering Support -
Security and Compliance Automation
We automate security checks, conduct vulnerability scans and verify compliance throughout the delivery pipeline. This guarantees ongoing protection while supporting regulatory standards without slowing down development.
Explore Security and Compliance Automation -
Performance Scaling and Load Management
We design systems that automatically scale based on traffic and workload needs. This ensures resilience during peak times and maintains high performance under pressure.
Explore Performance Scaling and Load Management
Custom DevOps vs managed PaaS: which is better?
Custom DevOps on AWS/GCP/Azure with Kubernetes and infrastructure-as-code gives you full control, cost efficiency at scale and compliance flexibility, while managed PaaS (Heroku, Render, Vercel, Railway) eliminates infrastructure work for early-stage apps. According to the 2024 DORA State of DevOps report, PaaS adoption is growing fastest at small companies while large-scale SaaS continues to run custom infrastructure for cost and compliance reasons.
| Factor | Custom DevOps | 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 instances, Savings Plans | Per-dyno/per-function billing scales linearly forever |
| Compliance | Data residency, audit logs, encryption controls baked in | Inherited from platform; some workloads ineligible |
| Observability | Full-stack OpenTelemetry + Grafana + SLOs tuned to your SLAs | Vendor-provided metrics; custom instrumentation limited |
| Time to launch | 2-6 months for production-grade infrastructure | Hours to a working staging environment |
| Operational load | Requires SRE practice and on-call rotation | Vendor handles most operations |
| Year-1 cost | $40,000-$150,000 build + ~$8,000/month retainer | $0-$3,000/month for small apps; scales linearly |
| Best fit | FinTech, healthcare, high-load SaaS, regulated industries, multi-region | Early-stage apps, side projects, MVPs, internal tools |
DevOps at Pharos Production at a glance
- Engagements: 40+ DevOps engagements since 2018 across FinTech, healthcare, crypto, SaaS and high-load consumer
- Stack: AWS, GCP, Azure, Kubernetes (EKS/GKE/AKS), Terraform, Pulumi, ArgoCD, Helm, Prometheus, Grafana, Datadog, OpenTelemetry
- Specializations: Kubernetes migrations, CI/CD design, observability + SLOs, cost optimization, disaster recovery, secrets management
- Pricing: Audits + roadmap from $8,000; migration projects $40,000-$150,000+; ongoing SRE retainers from $8,000/month
- Timeline: Audit 1-2 weeks; migration 2-6 months; ongoing support month-to-month
- Standards: DORA 4 key metrics tracked, SLO-based alerting, infrastructure-as-code for 100% of resources, runbook-per-alert
- Compliance: aligned with ISO 27001, SOC 2 controls, GDPR, HIPAA-ready, PCI DSS architecture
- Honest scope: We recommend managed PaaS for early-stage and decline Kubernetes for teams that will not operate it
Our Software Development Expertise
Our team of 90+ engineers covers the full development stack, from Solidity smart contracts and React front-ends to Kubernetes infrastructure and automated QA pipelines. Since 2013, we have delivered 70+ applications for clients across FinTech, healthcare, crypto, e-commerce and 14 other industries. Across verified Clutch reviews, our clients report an average 40% improvement in transaction processing speed, a 95% on-time delivery rate and an 87% client retention rate across multi-year engagements. Below are selected projects that demonstrate our capabilities in action.
-
Pharos Production has partnered with PumpTap to develop a secure, high-performance crypto wallet tailored for everyday Web3 interactions. PumpTap lets users store, send and manage digital assets across multiple blockchains through a simple, intuitive interface. Built on a scalable, event-driven architecture, the wallet delivers real-time transaction updates, robust security and seamless integration with decentralized applications.
-
Pharos Production partnered with Pro Gambling to build a high-load sports forecasting platform focused on data-driven predictions, real-time analytics and scalable delivery of betting insights. The platform aggregates large volumes of sports data, odds movements and historical statistics to generate forecasts that help users make informed betting decisions. Built on a cloud-native, event-driven architecture, Pro Gambling delivers fast updates, transparent analytics and consistent performance during peak sports events.
-
Pharos Production has partnered with Pleenk to build a secure, scalable payments platform for fast transactions, fraud prevention and seamless integration with digital products. The platform processes payment flows in real time while maintaining high levels of security, transparency and reliability for both businesses and end users. Built on cloud-native infrastructure and an event-driven architecture, Pleenk provides a strong foundation for modern digital payments.
-
Pharos Production partnered with NoMoreBets to develop a worldwide one-tap live betting platform focused on speed and scalability. The system handles real-time odds and instant bets effortlessly. The result is a smooth, engaging betting experience that increased player retention, reduced drop-offs during live matches, and positioned NoMoreBets for global growth since 2022.
-
Pharos Production partnered with Nextcheck to replace outdated, manual onboarding with a secure, automated KYC/AML platform. Built on AWS, Kubernetes, Istio, Elixir, RabbitMQ, PostgreSQL and NextJS, the platform provides real-time biometric and document verification, risk assessment and compliance reporting. Since 2019, Nextcheck has reduced onboarding time by 60%, cut manual labor by 70% and expanded to support thousands of checks at once. Today, it powers global banks, fintechs and crypto firms with a cloud-native, regulation-ready, growth-oriented compliance platform.
-
Pharos Production partnered with Ludo to build a global cross-chain reputation system that makes trust transparent and portable across the Web3 ecosystem. Using AWS, Kubernetes, Istio, Kafka, Flink, Cassandra, Pinot and Solr, the platform processes blockchain data in real time to generate soulbound NFT-based reputation scores. With web, browser and Telegram interfaces, Ludo empowers users, curators and builders to identify trustworthy projects, integrate reputation APIs and strengthen community engagement. The result is a scalable, real-time trust layer that has been driving adoption in Web3 since 2021.
-
Pharos Production has partnered with Lucky Bets to create a high-performance casino games aggregator and online casino platform focused on scalability, reliability and player engagement. This platform seamlessly integrates hundreds of games from multiple providers, delivering a unified gaming experience while managing real-time gameplay events, balances and analytics with minimal latency. Built on cloud-native infrastructure, Lucky Bets offers a fast, secure and flexible foundation for modern iGaming operations.
-
Pharos Production has partnered with Kimlic to develop a blockchain-based Know Your Customer (KYC) and digital identity platform. This platform ensures that user verification is secure, reusable and privacy-preserving across Web3 and fintech ecosystems. Users can verify their identity once and then securely share proof with multiple services without exposing sensitive personal information. Built on cloud-native infrastructure and equipped with real-time data pipelines, Kimlic provides compliant identity verification at scale while allowing users to retain control over their data.
About Founder and CTO
Founder and CTO Pharos Production
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
DevOps delivery with SRE discipline
DevOps projects follow Pharos Verified Delivery with infrastructure-specific gates: discovery includes cost model, security baseline and disaster recovery target; build includes infrastructure-as-code with reviewable changes; production readiness includes monitoring, alerting, runbooks and rollback; support includes on-call, cost reviews and quarterly reliability retrospectives.
-
Phase 01 / 04 Paid Discovery
2-4 weeks- Technical validation
- Architecture proposal
- Scope refined estimate
-
Phase 02 / 04 Iterative Build
2-week sprints- Working demos every sprint
- CTO review at milestones
- ADRs documented
-
Phase 03 / 04 Production Readiness
- Monitoring and alerting
- Security audit Pen test
- Runbooks and rollback
-
Phase 04 / 04 Support
Ongoing- Security patches
- Performance tuning
- 4h SLA response
Pharos Verified Delivery applied to 70+ production applications since 2013
Infrastructure work with receipts
Three engagements where measurable cost, reliability, or deployment-frequency changes were tracked against DORA metrics.
Kubernetes migration
Before
Legacy EC2 deployment with manual scripts. 45-minute deployments. Weekend-only release windows. Incidents took 4-6 hours to recover from.
After
EKS with ArgoCD GitOps and Helm charts. 12-minute deployments, blue-green cutovers, self-service rollback. Release windows eliminated. Mean time to recovery dropped to 22 minutes.
We kept the legacy stack running in parallel for 6 weeks. Every deploy ran on both; traffic shifted 10% → 50% → 100% over 2 weeks per service. The old infrastructure was decommissioned after a 30-day clean run.
Cost optimization
Before
AWS bill of $87,000/month. Engineering team could not explain where the money went. Reserved instances expired unused. Three idle RDS clusters.
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 now 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.
Observability + SLOs
Before
CloudWatch dashboards nobody looked at. Alerts fired at 3am on non-issues. Real incidents went unnoticed until customers complained.
After
OpenTelemetry instrumentation, Grafana dashboards, Prometheus-backed SLOs with error budgets. Alerts route to PagerDuty only when SLO burn rate threatens monthly budget. Alert volume dropped 78%, mean time to detect dropped from 47 minutes to 3 minutes.
SLOs were the reframe — instead of "alert on 5xx errors" we defined "99.9% of API requests complete successfully within 400ms", computed error budgets, and alerted on burn rate. Noise vanished; real problems surface immediately.
Client names anonymized under NDA. Full case studies at /cases/.
When custom DevOps 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 eliminate infrastructure work entirely
- Static sites where Vercel, Netlify or Cloudflare Pages cover 100% of requirements
- Single-region apps where multi-region adds cost without business value
- Kubernetes adoption without team expertise to operate it long-term
- Observability projects without SLO commitments and owner accountability
We recommend managed platforms when they fit
For early-stage products and most SaaS apps, managed PaaS (Heroku, Render, Railway, Vercel) eliminates infrastructure overhead at 30-50% the total cost of ownership. We recommend custom DevOps 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.
Pharos Production DevOps portfolio observations
Observations from 34 DevOps and platform engagements delivered between 2020 and 2026 across FinTech, SaaS, healthcare and logistics.
-
Teams reaching DORA "High" within 6 months shared a single attribute: trunk-based development with feature flags on day one.
-
Switching from long-running feature branches to trunk-based flow reduced lead time by 4.1x on average across 12 projects.
-
Platform teams of 3 to 5 engineers sustained 40 to 80 service developers at elite DORA metrics without extra headcount.
-
SBOM plus signed artefact adoption cut incident triage time by 32 percent during 4 separate CVE responses in 2024 and 2025.
DevOps and platform engineering outlook 2026-2027
How to evaluate a DevOps engagement in 60 days
Lesson from production: the pipeline blast radius
A FinTech customer ran 42 microservices on a shared Jenkins server in 2023. A single misconfigured credential rotation broke 17 pipelines simultaneously, blocking deploys for 6 hours at end-of-quarter close. Root cause: no pipeline-as-code, no credentials vaulting, no blast radius limit per pipeline. We migrated to GitHub Actions with reusable workflows, moved secrets to HashiCorp Vault with short-lived tokens and split pipelines per service boundary with independent runners. Next credential rotation: zero pipeline failures, full audit trail in Vault. The lesson we enforce: pipelines are production code with the same blast radius discipline as application services.
How DORA and cost numbers are tracked
DevOps metrics counted: deployment frequency, lead time, MTTR and change failure rate measured against DORA State of DevOps definitions. Cost savings measured against 3-month baseline before engagement. SLO adoption counted as services with defined error budgets, not just dashboards. Last reviewed: . Corrections? Email [email protected] - see our Editorial policy for review cadence.
Important
Pharos Production builds and operates DevOps infrastructure. Cost savings depend on workload characteristics and engagement scope. SLO improvements depend on SRE practices being adopted by the client team. We do not provide managed services beyond the agreed retainer scope.
Reviews
Independent reviews from Clutch, GoodFirms and Google - verified client feedback on our software projects
Based on 11 verified client reviews
Healthcare
Pharos Production worked closely with our clinical and operations teams to build an impressive digital platform that enhanced complex care coordination workflows. Their skill in translating healthcare requirements into reliable, scalable software was instrumental to the project's success, showcasing a strong partnership that made a difference!
Platforms We Work With
Trusted by Coinbase, Consensys, Core Scientific, MicroStrategy, Gate.io and 10+ more Web3 and enterprise platforms
16+ partnersOur 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
-
Ludo
-
Core Scientific
-
Debut Infotech
-
Axoni
-
Alchemy
-
Starkware
-
Mara Holdings
-
Microstrategy
-
Nubank
-
Okx
-
Uniswap
-
Riot
-
Leeway Hertz
Reviewed by Dmytro Nasyrov
Founder and CTO
23+ years in custom software development. Led 70+ projects across FinTech, healthcare, Web3 and enterprise. aligned with ISO 27001 team.
Choose your cooperation model
MVP
MVP sprint
Scoped MVP with core user flows, clean codebase and production-ready deployment.
$12,000 - $29,000
Popular choice
Production
Production release
Full-feature build, QA, CI/CD and post-launch stabilization with SLA-backed support.
$23,000 - $45,000
Full-cycle
Full-cycle platform
End-to-end engagement: discovery, architecture, build, DevOps, QA and long-term evolution.
$50,000 - $100,000
Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.
Or select the appropriate interaction model
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.
| Model | Best for | Team setup | Budget range |
|---|---|---|---|
| Staff Augmentation | Existing teams needing extra engineers at any project stage | 1-2 weeks | From $5,000/month |
| Dedicated Team Popular | Long-term projects requiring full ownership and control | 2-4 weeks | From $15,000/month |
| Project Outsourcing | Full-cycle development from idea to production launch | 1-2 weeks | $10,000-$80,000+ |
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.
AI and Machine Learning
LLM Providers 8
AI Frameworks 15
LangChain
LangGraph
CrewAI
AutoGen
Hugging Face
PyTorch
TensorFlow
scikit-learn
LlamaIndex
Keras
XGBoost
LightGBM
OpenCV
spaCy
ONNX Runtime
Vector Databases 7
Pinecone
Weaviate
Qdrant
Chroma
pgvector
Milvus
FAISS
MLOps and Infrastructure 11
MLflow
Weights & Biases
DVC
Kubeflow
AWS SageMaker
Azure ML
Google Vertex AI
NVIDIA Triton
Airflow
Ray Serve
vLLM
AI Agent Tools 4
Blockchains
Private and Public Blockchains 33
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
Cloud Blockchain Solutions 4
Amazon Managed Blockchain
Amazon QLDB
IBM Blockchain
Oracle Blockchain
DevOps
DevOps Tools 15
Kubernetes
Terraform
Docker
Istio
Prometheus
Grafana
Jenkins
ArgoCD
Ansible
GitHub Actions
GitLab CI
Pulumi
Datadog
New Relic
Vault
Clouds
Clouds 6
Databases
Databases 15
PostgreSQL
MySQL MariaDB
Redis
Cassandra
Neo4J
MongoDB
Elasticsearch
Solr
Ignite
ClickHouse
TimescaleDB
DynamoDB
Supabase
CockroachDB
ScyllaDB
Brokers
Event and Message Brokers 7
Kafka
RabbitMQ
Flink
Apache Pulsar
Amazon SQS
Amazon SNS
NATS
Tests
Test Automation Tools 6
Postman
Appium
Cucumber
Selenium
JMeter
Cypress
UI/UX
UI/UX Design Tools 12
Figma
Zeplin
InVision
Sketch
Miro
Marvel
Balsamiq
Photoshop
Illustrator
XD
After Effects
Corel Draw
Trusted & Certified
Partnerships & Awards
Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence
17+ industry awards
An approach to the development cycle
The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint there is a retrospective of the work done, planning for the next sprint, a report of the work done and a plan for the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
-
Team Assembly
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
-
MVP
We’ll design, build, and launch your MVP, ensuring it meets the core requirements of your software solution.
-
Production
We’ll create a complete software solution that is custom-made to meet your exact specifications.
-
Ongoing
Continuous Support
Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.
Frequently asked questions about DevOps development
Last updated:
Type to filter questions and answers. Use Topic to narrow the list.
Showing all 8
No matches
Try a different keyword, change the topic, or clear filters
-
Typical timeline: 1-2 weeks audit + target architecture, 4-8 weeks incremental migration service-by-service (with parallel run on the legacy stack), 2-4 weeks cutover and decommissioning. Full Kubernetes migration with ArgoCD GitOps, Helm charts and observability typically runs 3-6 months for a mid-size SaaS platform.
We do not recommend big-bang cutovers - every service migrates on its own timeline with its own rollback plan.
-
Typical first-year savings: 30-55% on compute through right-sizing + Savings Plans + spot for batch workloads, 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.
-
Use Kubernetes when you have multiple services with independent scaling needs, multiple teams deploying independently, or specialized workloads (GPU, spot instances, stateful services 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 to use it as a resume-builder.
We have recommended Heroku and Render over Kubernetes for many early-stage clients.
-
Yes, and we recommend them for every production service. SLOs reframe alerting from “alert on 5xx errors” to “alert when burn rate threatens monthly error budget”.
The result: alert volume drops 50-80%, real incidents surface faster, and engineering teams regain trust in their on-call rotation. Every Pharos SRE engagement includes at least 3 SLOs per critical service with documented error budget policies.
-
DR planning is part of discovery, not a late-stage add-on. Targets: Recovery Time Objective (RTO, how fast to restore service) and Recovery Point Objective (RPO, how much data loss is tolerable).
We build 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, periodic backup restoration for RTO < 24 hours. We run a real DR drill quarterly.
-
We offer SRE retainers with tiered coverage. Tier 1 (business hours, 4h SLA): $8,000/month.
Tier 2 (24/7 monitoring, 1h SLA on P1): $18,000/month. Tier 3 (dedicated SRE with on-call rotation): $35,000/month. All tiers include monthly reliability reviews, quarterly SLO retrospectives and a shared runbook repository.
-
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 team and workload, not the one with the biggest kickback.
-
We decline managed-platform use cases where Heroku/Render/Vercel would solve the problem, Kubernetes adoption without operational capacity, multi-region projects for single-region apps, and observability projects where the client wants dashboards but not SLO accountability. We also decline “modernization” work without a measured reliability or cost problem - if it is not broken, do not refactor it.
Published record
Published Pharos research
Technical articles, comparison guides and methodology deep-dives we write from our own delivery experience.
The Pharos takeaway on DevOps
DevOps in 2026 is measured in DORA metrics, SLO coverage and supply chain hygiene. Pharos Production builds internal developer platforms that make the fast, safe path the default path, so your engineering team ships daily and recovers in minutes.
Your business results matter
Achieve them with minimized risk through our bespoke innovation capabilities
What happens next?
-
Contact us
Contact us today to discuss your project. We’re ready to review your request promptly and guide you on the best next steps for collaboration
Same day -
NDA
We’re committed to keeping your information confidential, so we’ll sign a Non-Disclosure Agreement
1 day -
Plan the Goals
After we chat about your goals and needs, we’ll craft a comprehensive proposal detailing the project scope, team, timeline and budget
3-5 days -
Finalize the Details
Let’s connect on Google Meet to go through the proposal and confirm all the details together!
1-2 days -
Sign the Contract
As soon as the contract is signed, our dedicated team will jump into action on your project!
Same day
Our offices
Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.