Services

Webomage is a small, senior engineering agency focused on DevOps, integrations, AI/LLM, fullstack backends, and compliance-aware infrastructure. If you’re considering work in any of these areas, see How We Work for a quick overview of delivery phases.

Core services & solutions

• AI/LLM modernisation sprints (compliance-aware) – integrating or refactoring AI features in existing products with guardrails, observability, and HIPAA/SOC 2/PCI-style readiness.
• Kubernetes platform rescue for SaaS – moving from single servers or fragile clusters to managed EKS/GKE-style platforms with IaC, GitOps, SLOs, and proper observability.
• Serverless & event-driven consolidation – turning Lambda/function sprawl into a structured, testable, and cost-aware serverless architecture.
• Healthcare & legal AI data platforms – turning long-form audio, documents, or CRM data into searchable, auditable artefacts via RAG, pipelines, and careful data flows.
• Fintech & DeFi infra hardening & observability – hardening blockchain/DeFi workloads with dedicated nodes, indexers, monitoring, and production runbooks.
• Legacy recovery & compliance hardening – stabilising partly abandoned systems (CRMs, platforms, AI services) and giving them a clear, safe path back to product delivery.

DevOps & Infrastructure

• Migration from a single big VPS with docker-compose to scalable, managed AWS EKS clusters with Karpenter.
• Refactoring legacy Django/DRF applications to be stateless and cloud-native.
• AWS Elastic Beanstalk to Kubernetes migrations (e.g. Django / Angular.js workloads to GKE).
• 50+ AWS Lambda functions moved from custom scripts to the Serverless Framework for repeatable, automated deployments.

Examples:

• Kubernetes Platform Migration for SaaS
• Serverless Consolidation for Event-Driven Workloads

Integrations & Platform Work

• Event-driven and microservice-style integrations between existing systems and new services.
• API design and implementation for internal and external integrations.
• Platform hardening, observability, and automation around CI/CD.

AI / LLM Solutions

• Next.js + Google Speech-to-Text + Vertex AI MVPs refactored into production-ready solutions with tRPC ultra-fast backends.
• Handling long-running artefacts from 1.5h+ voice psychiatric sessions with storage and processing aligned with HIPAA, SOC 2, and PCI-style considerations.

Example: Long-form psychiatric session voice analytics.

Fullstack & Mobile

• Next.js / React frontends integrated with modern backends and existing APIs.
• Delivery of MVPs for startups, tailored to specific business needs and constraints.
• Collaboration with mobile app teams where backend and infra need to support native or cross-platform clients.

Compliance & Reliability

• Security and compliance-aware infrastructure and pipeline design.
• Observability, logging, and monitoring built in from day one.

Compliance certifications (paid & free)

• Paid third-party audits and attestations we can help you prepare for (working with your auditor, not replacing them):
  • SOC 2 Type I/II (security, availability, confidentiality-style scopes).
  • ISO/IEC 27001 for information security management.
  • PCI DSS (from SAQ-level e‑commerce workloads up to Level 1 with a QSA).
  • HIPAA/HITECH “readiness” (BAAs, Security Rule alignment, logging and PHI handling) for healthcare and adjacent products.
• Free and open frameworks / checklists we can align your systems to when a full audit is not yet required:
  • NIST Cybersecurity Framework and NIST 800‑53/800‑171 style control sets.
  • CIS Benchmarks and CIS Controls for cloud infrastructure and Kubernetes.
  • OWASP ASVS and OWASP Top 10 for application and API security.
  • AWS / GCP / Azure Well‑Architected reviews for cloud-native workloads.

In practice this often looks like:

• taking your current product and data flows, classifying data (PHI/PII/financial, etc.);
• picking a target standard or mix that matches your stage and budget;
• turning that into a concrete, prioritised backlog of infra, observability, and process changes;
• helping you gather and automate the evidence auditors will later need (logs, reports, diagrams, runbooks).

Example: Law Firms Association CRM Recovery.

Developer & DevOps Certifications & Training

We help teams use certifications and structured training as a way to grow real skills, not just collect badges. This is where the Training and Certifying parts of the Webomage services ladder live: short, real-work-aligned programs that move engineers from “interested” to “certified and effective” on your stack.

What we offer

• Team‑oriented prep for cloud and DevOps certifications, for example:
  • AWS: Solutions Architect, DevOps Engineer, SysOps, and associate/professional tracks.
  • Azure: AZ‑104, AZ‑305, AZ‑400 and Google Cloud Associate / Professional tracks.
  • HashiCorp Terraform Associate and related IaC tracks.
  • Linux Foundation / CNCF: CKA, CKAD, CKS.
• Optional add‑ons around Linux / containers / Kubernetes fundamentals for engineers who are still building that base.

How we run it

• Short 6–12 week programs designed to run alongside real work.
• Week 0–1: assess current skills, pick target exams and timelines that match your roadmap.
• Weeks 2–N: weekly focus topics and labs mapped to your stack (not just generic examples).
• Final 1–2 weeks: structured exam prep, practice questions, and optional mock interviews.

We are not an “official” training partner for vendors; instead, we help you get the most out of the subscriptions and materials you already have (A Cloud Guru, Udemy, vendor docs) and tie them back to your actual systems.

➡️ Planning a certification or training cohort for your team? Talk about training options.

Problem‑solving and competitive programming

Where algorithmic and problem‑solving skills matter, we can also:

• use CodeChef, Codeforces, Topcoder, and similar platforms to benchmark and grow skills;
• run lightweight internal contests, katas, and review sessions based on real constraints from your stack and hiring process.

Engagement Models

• Audits & recovery projects – short, focused engagements to assess your current state, stabilise production, and define a pragmatic roadmap.
• Project-based delivery – scoped projects (typically 4–12 weeks) with clear milestones, ownership, and delivery of agreed outcomes.
• Ongoing advisory & support – part-time, longer-term support for teams that need senior DevOps/AI/infra help without a full-time hire.

Engineering Practices (Non‑Negotiables)

• Well-written technical specs that include non-technical, DSL-style feature descriptions from the Project Manager, plus final DSL end-to-end tests with metrics.
• Automation everywhere, with easy control and observability.
• A strict “single source of truth” rule for all docs/specs, with cross-fact checking between docs, specs, code, tests, and infrastructure.

Recent Similar Project

• Security audit and recovery of a partly abandoned CRM for a Law Firms Association, including AI services and mobile apps, after the original dev team and team lead were lost.

➡️ Have a similar challenge or need a fresh perspective? Start a conversation, or browse more Projects & Case Studies first.