Guaranteed Expert Consultation Within 1 Hour. Click Here!
Guaranteed Expert Consultation Within 1 Hour. Click Here!
Guaranteed Expert Consultation Within 1 Hour. Click Here!
Guaranteed Expert Consultation Within 1 Hour. Click Here!
Pipeline assessments, CI/CD builds, infrastructure as code, and managed delivery for US engineering teams.
Recognized for delivering the best solutions for businesses of all sizes and across industries.
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Quick answer: DevOps consulting is an assessment of how your code gets from a developer's machine to production, followed by the work to make that path faster and safer: pipelines, environments, infrastructure as code, release process, and monitoring. A delivery assessment takes 2 to 3 weeks and costs $1,000 to $3,920 at our rates. A full pipeline build runs 4 to 10 weeks.
Most teams do not need a DevOps philosophy. They need releases that do not require a Saturday, environments that match production, and a way to know within minutes that something broke.
NewAgeSysIT has been building and running delivery pipelines for more than 30 years of software work, from Princeton, New Jersey. We assess, we build, and where you want it, we run the pipeline with you.
AI changed the shape of the problem. DORA's research found that around 90% of professionals now use AI at work, and that AI adoption raises delivery throughput while also raising delivery instability. Its 2024 model estimated roughly a 7.2% drop in delivery stability for every 25% rise in AI adoption, and the 2025 study found that negative relationship persisting even as throughput improved.
of professionals now use AI at work, according to DORA's research
estimated drop in delivery stability for every 25% rise in AI adoption, in DORA's 2024 model
Telemetry from Faros AI in 2026 put numbers on the consequence: incidents per pull request rose sharply in teams' highest AI-use periods compared with their lowest, and more pull requests were merged without review.
The conclusion is not "use less AI." It is that AI amplifies whatever delivery system you already have. A team with strong tests, small changes, and fast rollback gets faster. A team without them gets faster at producing incidents. DevOps work is what converts raw speed into safe speed, and that is what this page is about.
DORA's metrics expanded from four to five, grouped into two factors. We baseline these before an engagement and report them after.
| Factor | Metric | What it tells you |
|---|---|---|
| Throughput | Deployment frequency | How often you successfully ship to production |
| Throughput | Change lead time | Time from commit to running in production |
| Throughput | Failed deployment recovery time | How long you need to recover when a release goes wrong |
| Instability | Change failure rate | Share of releases that cause a failure needing a fix or rollback |
| Instability | Deployment rework rate | Share of work that is redoing something already shipped |
If a vendor promises to improve deployment frequency without talking about the instability pair, they are promising you half the picture. Shipping more often while breaking more often is not progress.
Tell us how often you release, what breaks most often, and how long recovery takes. We will tell you whether the constraint is the pipeline, the tests, the environments, or the process, and what fixing it costs.
Get a quick expert response within 1 hour.
Current pipeline, environments, release process, infrastructure, monitoring, and team practices, with a prioritized plan
Build, test, and deployment pipelines on AWS, Azure, GCP, GitHub Actions, GitLab, or Jenkins
Terraform or equivalent so environments are reproducible rather than hand-built
Development, staging, and production parity, plus ephemeral environments for review
Branching strategy, release gates, feature flags, blue-green or canary deployment, and rollback
Docker, Kubernetes, and managed container platforms, sized to what you actually need
Logging, metrics, tracing, dashboards, and alerts that reach a person who can act
Tests, scanning, and policy checks that block a bad release rather than warn quietly
Right-sizing, autoscaling limits, and spend visibility built into the pipeline
A standing team running your pipeline and infrastructure against agreed service levels
Security checks inside the pipeline are a related but separate service, covered on our DevSecOps services page, and most clients add them once the pipeline itself is reliable.
A pipeline is not a tool choice, it is a sequence of decisions about what must be true before code moves forward.
Continuous integration. Every commit builds, runs unit and integration tests, and reports in minutes rather than hours. Broken builds stop the line instead of accumulating.
Continuous delivery. Every successful build produces a deployable artifact, versioned and traceable, so releasing is a decision rather than a project.
Continuous deployment, where it fits. Automatic promotion to production once gates pass. This suits products with strong test coverage and fast rollback, and it does not suit every system, which is a judgment we make with you rather than a default.
Platform-specific builds. AWS pipelines with CodePipeline and CodeBuild, Azure DevOps pipelines, GCP Cloud Build, or tool-agnostic pipelines in GitHub Actions and GitLab CI, including multi-cloud and hybrid setups.
Custom workflows beyond application code. Infrastructure deployment, database migrations, data pipeline promotion, scheduled operations work, and self-healing routines for the systems that wake people up at night.
The work that most often gets skipped: rollback that has actually been tested, environment parity, and build times short enough that developers do not start batching changes to avoid waiting.
Changing how a team ships is an organizational project as much as a technical one, which is why the rollout has its own sequence.
Current metrics, release history, incident log, and the three things the team complains about most
Target pipeline, environment model, branching and release strategy, and the gates that will block a release
One service or one team moved onto the new pipeline, proving the pattern before it spreads
Remaining services migrated in waves, with documentation and pairing rather than a handover document
Training, runbooks, and on-call practice so your team owns it
Metrics compared against baseline at 30 and 90 days, with the next round of improvements prioritized
We work in your stack. Where a tool is genuinely wrong for your situation, we say so and cost the migration before anyone commits.
NewAgeSysIT is a US company with its own offshore delivery centers, which is how DevOps work runs at $25 to $49 per hour with US-based project leadership.
| Engagement | Effort | Cost at our rates | Typical duration |
|---|---|---|---|
| DevOps and delivery assessment Start here | 40 to 80 hours | $1,000 to $3,920 | 2 to 3 weeks |
| CI/CD pipeline build, per application | 120 to 320 hours | $3,000 to $15,680 | 4 to 10 weeks |
| Infrastructure as code migration | 100 to 300 hours | $2,500 to $14,700 | 4 to 8 weeks |
| Containerization and orchestration setup | 120 to 360 hours | $3,000 to $17,640 | 4 to 10 weeks |
| Observability and alerting setup | 60 to 160 hours | $1,500 to $7,840 | 2 to 5 weeks |
| Release process redesign and enablement | 60 to 160 hours | $1,500 to $7,840 | 3 to 6 weeks |
| Managed DevOps | 120 to 320 hours a month | $3,000 to $15,680 a month | Ongoing |
Fixed-price quotes follow the assessment. Quoting a pipeline build before anyone has seen the repository, the environments, and the test suite is how both sides end up unhappy.
For a quick figure on a build project rather than a DevOps engagement, our app cost calculator takes a couple of minutes.
30+ years in software, 1,000+ projects delivered, and a five-star Clutch rating.
Engineers who build products, not just pipelines. The people designing your release process also ship application code, which keeps the recommendations practical.
Metrics before promises. Baselines agreed at the start, reported at 30 and 90 days.
Your stack, your cloud. No reseller relationships steering the recommendation.
US leadership, hybrid rates. Princeton-based project management with our own delivery centers at $25 to $49 per hour.
Get expert guidance before you invest in AI software development. Work directly with Giovanni and Bibin to validate your technology direction, align AI with business goals, and make confident decisions that reduce risk and accelerate outcomes.
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From every single moment, from the beginning till the end, they were there for me. They were very systematic and methodical in every single step and
Owner - ISRA
Increase in Monthly Bookings within 6 Months
Reduction in Appointment No-Shows
They delivered everything on time and it was of great quality. They go above and beyond to meet yourrequirements and deliver the product you are looking for.
Founder -LCard App
Increase in User Sign-Ups in First Quarter
Boost in Networking
Conversions
They are very knowledgeable in the sense that they have built so many of these types of applications that they..
Founder -CAR-UP App
Increase in Online Service Bookings
Reduction in Service Scheduling Conflicts
From every single moment, from the beginning till the end, they were there for me. They were very systematic and methodical in every single step and
CEO - WhipFlip
Faster Vehicle Listing to Offer Time
Increase in Lead-to-Sale Conversion Rate
From every single moment, from the beginning till the end, they were there for me. They were very systematic and methodical in every single step and
Owner - ISRA
Increase in Monthly Bookings within 6 Months
Reduction in Appointment No-Shows
They delivered everything on time and it was of great quality. They go above and beyond to meet yourrequirements and deliver the product you are looking for.
Founder -LCard App
Increase in User Sign-Ups in First Quarter
Boost in Networking Conversions
They are very knowledgeable in the sense that they have built so many of these types of applications that they..
Founder -CAR-UP App
Increase in Online Service Bookings
Reduction in Service Scheduling Conflicts
From every single moment, from the beginning till the end, they were there for me. They were very systematic and methodical in every single step and
CEO - WhipFlip
Faster Vehicle Listing to Offer Time
Increase in Lead-to-Sale Conversion Rate
DevOps consulting is an expert review of how your software gets from commit to production, plus the plan to improve it. It covers pipelines, environments, infrastructure, release process, monitoring, and team practices, and it ends with prioritized work rather than a philosophy document.
At our rates, an assessment runs $1,000 to $3,920, a CI/CD pipeline build $3,000 to $15,680 per application, infrastructure as code migration $2,500 to $14,700, and managed DevOps $3,000 to $15,680 a month. Fixed-price quotes follow the assessment.
Two to three weeks for an assessment, four to ten weeks for a pipeline build, and four to eight weeks for an infrastructure as code migration. Rollout across multiple teams usually runs in waves over a quarter or two.
They are now five: deployment frequency, change lead time, and failed deployment recovery time measure throughput, while change failure rate and deployment rework rate measure instability. They still matter, and they matter more with AI in the mix, because throughput can rise while stability falls.
Both. DORA found around 90% of professionals using AI at work, with adoption raising throughput and instability together, and its earlier modelling estimated about a 7.2% stability drop per 25% rise in AI adoption. AI amplifies the delivery system you have, so the fix is stronger gates, smaller changes, and tested rollback.
Yes, including hybrid and multi-cloud setups. Pipelines are built with CodePipeline, Azure DevOps, Cloud Build, GitHub Actions, GitLab CI, or Jenkins, depending on where your code and infrastructure already live.
Yes, and that is the most common engagement. We start with build and test automation, add a deployable artifact and environment parity, then introduce deployment automation and rollback once the earlier stages are trustworthy.
Often not. Managed container services or straightforward cloud runtimes cover most workloads with far less operational burden. We recommend Kubernetes when scale, portability, or workload complexity genuinely justify it, and we will say when it does not.
It means your environments are defined in version-controlled files rather than built by hand, so they can be recreated, reviewed, and rolled back like application code. It is the single change that most reduces "it works in staging" problems.
Yes. We audit what exists, stabilize the parts that are failing, document it, then improve it in sequence. Replacing a working pipeline wholesale is rarely the right first move.
Yes. A managed engagement covers pipeline maintenance, environment and infrastructure changes, monitoring, release support, and improvement work, against agreed service levels and reported metrics.
Against the five DORA metrics plus two practical ones: cloud spend per environment and hours of unplanned work per month. Those last two are usually what leadership actually feels.
DevOps gets changes to production quickly and safely. DevSecOps adds security checks and policy to that same pipeline: dependency and secret scanning, infrastructure policy, and gates that block vulnerable releases. Most teams build the pipeline first and add the security layer once it is stable.
Tell us how often you release, what breaks most often, and how long recovery takes. We will tell you whether the constraint is the pipeline, the tests, the environments, or the process, and what fixing it costs.
🔒 Your information is confidential and never shared. Guaranteed expert response within 1 hour.
Request a consultation or call 1-609-331-9194.
How often you release
What breaks most often
How long recovery takes
