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DoiT Cloud Intelligence™ pairs automation with a Forward Deployed Engineering (FDE) team so your services run reliably, securely, and efficiently on AWS — without the busywork.
From cost optimization to cloud migration, platform engineering, and CloudOps—we’ll work with your team to ship changes that hold up in production.
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Patterns that keep services up under pressure.
Least-privilege, sane defaults, and continuous hygiene.
Healthy clusters, predictable spend.
Policies and workflows that remove toil.
One place to see health, cost, and risk—and who owns what.
CloudOps, done together
AI workloads come with their own set of ops challenges - bursty demand, GPU scheduling, model drift, and unpredictable costs. Our Forward Deployed Engineering team helps you run GenAI in production the same way we handle any other critical workload: reliable, secure, and cost-aware.
Looking for more?
Check out our Accelerators - focused engagements to kick-start GenAI, or data platform optimization.
Spot underutilized inference and training runs, balance queues, and keep accelerators busy without waste.
Build autoscaling strategies tuned for LLMs and other GenAI workloads.
Harden ingestion and preprocessing pipelines so training and inference don’t stall.
See token usage, provider costs, and trade-offs clearly - pick the right mix across AWS Bedrock universe.
Design and run for uptime under real load.
Use Cloud Diagrams to visualize and apply Well-Architected + SRE principles that prevent failures before they happen.
Right-size and auto-scale for real-world demand, seasons, and events.
Move and modernize workloads with confidence - lift-and-shift or cloud-native.
HA patterns, failure domains, graceful degradation.
Load tests, chaos drills, and rollback plans baked in.
“We love working with DoiT. We get cloud optimization experts who can significantly reduce our costs, as well as experienced mentors and sparring partners to help us improve our architecture and experiment with new approaches. We look forward to continuing our collaboration.”

“With DoiT Cloud Intelligence™ managing our procurement and DoiT’s engineers acting as an extension of my team, my costs are down, my efficiency is up, and my profitability is up.”

“The personalization of the process is what sets DoiT apart. They learn about Lusha, understand our pain points, and tailor their approach. It’s a partnership. At the end of the day, it’s the people who make the difference.”
Get the basics solid and keep drift out.
Prioritized fix lists with owners and timelines surfaced through Insights.
IAM, org policies, service perimeter, KMS, network segmentation.
Baseline configs, drift detection, and quick wins automated.
Run leaner infra with fewer manual loops.
High CPU, IOPS, or GPU utilization doesn’t always mean you’re running lean. DoiT Cloud Intelligence™ exposes hidden waste—like skewed Spark jobs, unindexed queries, or half-idle GPU inference - and shows where the real fixes are.
Compute/memory/IO tuning based on usage, not guesswork.
Policy-driven actions for scheduling, snapshots, TTLs, tag hygiene with CloudFlow.
Advanced requests/limits, node pools, autoscalers, bin-packing, and noisy-neighbor control via PerfectScale for Kubernetes.
Operations that respect budgets; budgets that respect reliability.
Tags/labels/projects wired to teams and services through custom allocations.
Instance types, storage classes, and data paths picked with both SLOs and cost in mind.
Deep dives for Kubernetes, BigQuery, Snowflake, Databricks, MongoDB Atlas, Datadog, and more.
Embedded, hands-on delivery
Align on services, SLOs and the “pain now” list.
Build autoscaling strategies tuned for LLMs and other GenAI workloads.
Forward Deployed Architects pair with your engineers to implement, test, and deploy.
See token usage, provider costs, and trade-offs clearly - pick the right mix across AWS Bedrock universe.
Measure before/after - SLOs, error budgets, latency, spend.
A senior crew embedded with you.
Keeps priorities tight, blockers unblocked, and outcomes visible.
Makes sure you buy cloud better - navigating commitments, discounts, and programs so you get the best value out of AWS, Google Cloud, or Azure.
Move and modernize workloads with confidence - lift-and-shift or cloud-native.
HA patterns, failure domains, graceful degradation.
Load tests, chaos drills, and rollback plans baked in.
Move and modernize workloads with confidence - lift-and-shift or cloud-native.
HA patterns, failure domains, graceful degradation.
You will receive a calendar invite to the email address provided below for a 15-minute call with one of our team members to discuss your needs.