DevOps that govern Speed,
Risk, & Value at Scale
AI-native DevOps that turn release chaos into calm, continuous delivery systems
When releases carry real revenue, risk, and reputation, you can’t afford a delivery engine that behaves like a black box. At TechBlocks, we engineer an AI-native delivery operating system for how you build and run software, making every step in the path from idea to production visible, measurable, and under control. Platform engineering, CI/CD, SRE, DevSecOps, and AIOps work as one, governing everything from applications to data products to ML models. Value streams and metrics tie directly to revenue, risk, and customer experience. The result is faster releases, fewer Sev1s, cleaner audits, and a much calmer on-call life for your teams.
Client outcomes we’ve delivered with DevOps
Faster release cycles moving from 30+ days to 5 days for a healthtech wearables startup.
Uptime with enterprise-grade security & disaster recovery for a global automaker.
DevOps for modern cloud, data, & AI architectures
Platform-led, metrics-driven, aligned to business outcomes.
You’ve invested heavily in DevOps—pipelines, automation, dashboards. In reality, brittle pipelines, ad-hoc scripts, and a fragmented toolchain no one fully owns keep lead times long, rollbacks painful, and incident reviews from driving real change. Meanwhile, outages, slow checkouts, and release-night performance issues show up directly in revenue, NPS, and customer churn.
We re-engineer your delivery model around value streams, not just pipelines. We map how ideas move from backlog to production, then connect DORA metrics and flow efficiency to business KPIs such as revenue impact, incident cost, and customer experience. Applications, data products, and ML models all run through a single governed software supply chain, built, tested, secured, and released in a consistent way. AI is embedded in how you test, score release risk, observe production, and control cost.
Client Success
In savings over 5 Years
Faster release cycles, moving from high-risk to modern delivery velocity
Lower engineering costs, with streamlined POD-based execution
Scaling Retail Transformation & Velocity with an AI-Native GCC for North America’s Largest Arts & Crafts Retailer
Challenges
Our client, North America’s largest arts and crafts retailer, invested $30M into a digital transformation initiative that spiraled into a $120M overrun, with two years of delays and little progress to show. Their offshore delivery center in China had become a liability—burning $2.2M per month, dependent on in-person releases, and burdened with undocumented systems and Chinese-only documentation. Fragmented U.S. and Canadian tech stacks, legacy systems with no transparency, and a vendor model that ran on ticket-driven delivery slowed every release and amplified risk. At the same time, a 185% year-over-year surge in product listings and rising omnichannel expectations required faster iteration, better system resilience, and improved customer experience. Without a reset, they risked losing both competitiveness and customer trust.
Solutions
TechBlocks transitioned the client’s operations from chaos to control by launching an AI-native Global Capability Center (GCC) and modernizing their retail technology stack end to end:
- Launched an AI-native GCC in 90 days and executed a right-shoring strategy that cut monthly burn from $2.2M to $1M
- Reverse-engineered critical applications and established a scalable reference architecture with embedded DevOps practices
- Scaled the GCC to 260+ specialists across Canada, the U.S., and India, organized into 19 cross-functional PODs
- Modernized delivery by splitting key monoliths into microservices, deploying CI/CD with DevSecOps, and introducing AI-powered SRE agents for 24/7 monitoring and automated incident response
- Gave executives real-time visibility into sprint and release health through delivery telemetry
- Optimized Cloud infrastructure as code (IAC) and FinOps, replatformed 12+ Canadian digital platforms, and enhanced omnichannel experiences with BOPIS, curbside pickup, last-mile delivery, and automated self-checkout
DevOps Services
DevOps Strategy, Assessment, & Value Stream Engineering
We start by making delivery visible end to end. Using DORA metrics, delivery data, and qualitative interviews, we map value streams across product, engineering, ops, and security: where work gets stuck, where rework happens, and where incidents originate. We look at pipelines, environments, org design, and culture together, not in isolation. From there, we define a pragmatic roadmap for DevOps, platform engineering, SRE, DevSecOps, DataOps, and MLOps, tied directly to business objectives, risk appetite, and regulatory needs.
Platform Engineering & Internal Developer Platforms
We design and build internal developer platforms that provide self-service golden paths for common workloads—APIs, event-driven services, data pipelines, and ML workloads—on top of Kubernetes, serverless, and managed cloud services where they make sense. Infrastructure as code and GitOps keep everything consistent, while opinionated templates bake in security, observability, and compliance from day one. The result is a platform-led DevOps model that cuts cognitive load, improves developer experience, and keeps teams focused on shipping features.
Unified CI/CD, GitOps, & Progressive Delivery
We standardize CI/CD pipelines across your core stacks—microservices, data, and ML—so every change follows the same tested path from commit to production. Environments and configuration are driven through GitOps instead of console clicks, giving you a full history of who changed what, where, and when. Progressive delivery patterns—canary, blue–green, ring-based rollouts—and feature flags reduce blast radius, make rollbacks trivial, and decouple deploy from release. You get a single, reliable delivery system that ships faster while lowering release risk and noise.
DevSecOps, Software Supply Chain Security, & Policy-As-Code
We build security and compliance into every stage of your delivery supply chain. Pipelines run code, container, and dependency scanning by default, on top of hardened base images and proper secrets management across environments. Software supply chain controls—SBOMs, artifact signing, provenance, tamper detection—come standard. Policies-as-code enforce access, encryption, data residency, and network posture, with architectures aligned to HIPAA, SOC 2, PCI, and your internal risk frameworks. The result is a continuously governed, secure software supply chain.
AIOps, Observability, & SRE
We give you one observability fabric across logs, metrics, and traces, then layer SRE practices and AIOps on top so you can control reliability instead of guessing at it. Clear SLOs and error budgets align business, product, and engineering on how much risk is acceptable. AI-driven anomaly detection, alert correlation, and auto-remediation reduce noise and shorten MTTR, so your teams spend less time staring at dashboards and more time fixing root causes.
Cloud, Data, & ML DevOps
Our cloud and data foundations are designed to accelerate delivery. Infrastructure is defined as code with autoscaling, failover, and self-healing tuned to your workloads. DataOps applies DevOps discipline to your data platforms, so pipelines, quality checks, and schema changes are tested, versioned, and deployed through CI/CD. MLOps closes the loop for models with integrated deployment, monitoring, and retraining on the same control system, wrapped in FinOps so teams see and optimize cost in real time. The result is a cloud, data, and ML estate that’s reliable, compliant, and cost-aware.
Expertise you can trust
Why clients partner with TechBlocks for DevOps
We don’t just roll out tools and pipelines; we reengineer the delivery system behind your value streams. Our AI-native, engineering-led operating model connects delivery directly to business outcomes. We bring cloud engineering, SRE, DevSecOps, AIOps, DataOps, and MLOps together into a single, platform-led system measured with the same metrics your C-suite already cares about—speed, stability, risk, cost, and customer impact.
“I’ve worked with Tech Blocks for over a decade and on many initiatives, including major projects with large utilities that typically work with Deloitte, IBM, and PwC. Despite that competitive field, we continue to expand the scope of work with Tech Blocks, because they make it easy. They are responsive and transparent in all communications, strategic in their thinking, and able to deliver solutions that adopt best practices.”
VP, Consulting Services – Leading North American provider of utility modernization services
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