AWS Kubernetes Kafka DynamoDB Event-driven Observability

Cloud-native software engineering built for production.

DEVERS designs and delivers tailored systems end-to-end: modern web applications, scalable backends, event-driven integration, and Kubernetes-ready deployments — with operability and reliability as first-class concerns.

Focus: cloud-native architectures, distributed systems, and custom solutions that ship and keep running.

Services

Practical, production-focused engineering. You bring the goal — we deliver the system with the right architecture, the right operational posture, and a clean path to evolve it.

Cloud-native architecture & delivery

Designs that scale with load and teams: service boundaries, data ownership, resiliency, and deployment strategy.

AWSKubernetesSLOs

Backend engineering (APIs & distributed systems)

Service design, data modeling, performance tuning, and reliability patterns for real-world traffic.

APIsResiliencePerformance

Event-driven systems

Kafka-based workflows and integrations: idempotency, ordering, schema discipline, and safe consumer patterns.

KafkaStreamingAsync

Kubernetes & delivery pipelines

Deployment automation, environment parity, and release safety: from build to rollout and rollback.

CI/CDGitOpsAutomation

Modern web applications (frontend + backend)

Full product delivery: UX-ready UI, secure auth flows, APIs, and integrations — designed as one system.

FrontendBackendSecurity

Modernization & operational improvement

Stabilize and evolve existing platforms: observability, incident reduction, and a roadmap to simplify.

ObservabilityReliabilityRefactoring

Approach

The goal is predictable delivery without sacrificing quality. We make constraints explicit early (latency, availability, security, cost), then build iteratively with operational readiness in mind.

1

Discovery & constraints

Align on outcomes, risk map, and non-functionals (SLOs, compliance, cost ceilings, timelines).

2

Architecture & plan

Document decisions and tradeoffs. Define milestones and delivery slices that can ship safely.

3

Iterative delivery

Small releases, demos, and feedback loops. Quality gates via automation, review, and testing.

4

Operate & evolve

Observability, incident readiness, and continuous improvement so the platform stays healthy over time.

Capabilities

Cloud-native is not a buzzword — it’s a set of engineering choices that make systems easier to run, scale, and change. Below is what we typically bring to the table.

Cloud & data

AWS-centric delivery with DynamoDB patterns driven by access paths, latency budgets, and cost awareness. Strong focus on security boundaries and least-privilege design.

Topics: DynamoDB single-table patterns (when appropriate), pagination strategies, idempotency keys, IAM & permissions, secrets management, and deployment-safe migrations.

Kubernetes & event-driven

Kubernetes-friendly applications with well-defined health signals, resource sizing, and rollout strategy. Kafka-based flows designed for reliability: ordering, retries, backpressure, and schema discipline.

Topics: release safety (canary/blue-green where it pays off), autoscaling posture, consumer group design, idempotent processing, and failure-mode thinking.

Observability & reliability

Metrics, logs, and traces tied to what matters: user impact, SLOs, error budgets, and actionable alerts. Operability is treated as part of the product.

Topics: dashboards with intent, incident playbooks, reducing MTTR, alert hygiene, and performance baselines.

Frontend + product delivery

Modern web frontends with performance, accessibility, and maintainability in mind — integrated cleanly with backend APIs and secure authentication flows.

Topics: design systems, API-driven UI, auth patterns, caching, and performance budgets.

Selected outcomes

Work is often delivered under confidentiality — so we describe outcomes and the engineering scope without naming clients.

High-throughput event processing

Delivered event-driven services for demanding production workloads, with safety mechanisms (idempotency, retries, and failure isolation) designed from day one.

DynamoDB models optimized for access patterns

Built data models guided by query paths and latency requirements, balancing performance with cost and long-term maintainability.

Kubernetes delivery with observability

Implemented deployment automation and production observability that reduced release risk and improved time-to-diagnosis during incidents.

About DEVERS

DEVERS is a hands-on engineering practice focused on cloud-native systems and end-to-end product delivery. The emphasis is on technical clarity, operational excellence, and shipping software that stays reliable under real usage.

FAQ

Quick answers to common engagement questions.

How do engagements usually work?

Typically: a short discovery phase (scope, risks, and plan), followed by iterative delivery. Pricing can be time & materials or fixed scope for well-defined milestones.

Can you join an existing team?

Yes — we can augment teams with architecture, delivery, and hands-on implementation, including platform work and operational improvements.

Do you do frontend as well?

Yes — we deliver full solutions: modern web UI, backend APIs, integration, and deployment. The goal is a coherent system, not disconnected parts.

What does “cloud-native” mean in practice?

Designed to run and evolve reliably in cloud environments: automation-first delivery, observability, resilience patterns, and deployment strategies aligned with how production really behaves.

Do you provide ongoing support?

Yes — from “keep-the-lights-on” maintenance to continuous improvement: observability, incident reduction, performance work, and feature delivery.

What’s the first step?

A short call to understand your context and constraints. After that, we propose a concrete plan: milestones, delivery shape, and technical approach.

Contact

Tell us what you’re building. We’ll reply within 1–2 business days.

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