Mark {Void}

Solutions

From the problem to the outcome

Typical pain points teams bring—each card is: what's wrong, how I engage, what changes on the ground.

• 01

  Fragile releases

  The situation

  Deploys are slow, manual, or scary—rollbacks hurt, and every release burns team energy.

  What I do

  I tighten CI/CD, environments as code, and Kubernetes rollout patterns to match how much risk you can take.

  You get

  Shorter lead time to production, repeatable releases, and rollbacks that stop being a crisis.

• 02

  Platform sprawl

  The situation

  Every team reinvents clusters, networking, and guardrails; standards don’t stick and ops debt grows.

  What I do

  I define reusable platform defaults—Helm/Terraform baselines, mesh or Cilium where it earns its keep, hardening that teams can adopt without heroics.

  You get

  One coherent platform shape: easier onboarding, fewer snowflakes, operations people can reason about.

• 03

  Self-hosted & compliance pressure

  The situation

  You must run on owned hardware, in a private datacenter, or meet strict security and data-residency rules—lift-and-shift to public cloud isn’t allowed or isn’t enough.

  What I do

  I build and operate Kubernetes and the full platform stack on your nodes: networking, storage, secrets, observability, and CI/CD that feel cloud-native but stay under your control and audit trail.

  You get

  A production-grade platform security and compliance teams can sign off on—without sentencing engineering to manual runbooks and snowflake servers.

• 04

  Blind, noisy production

  The situation

  Incidents drag on because signals are fragmented; on-call gets alert floods instead of answers.

  What I do

  I wire metrics, logs, and tracing end-to-end—Prometheus, Grafana, ELK or VictoriaMetrics, Sentry—tied to how you actually run services.

  You get

  Faster detection, shorter MTTR, and a calmer on-call with noise you can turn down.

• 05

  Cloud bill & late security

  The situation

  Finance asks questions engineering can’t answer; security findings appear right before release.

  What I do

  I put FinOps basics in place—rightsizing, scheduling, tagging and visibility—and cost guardrails around Kubernetes and cloud estates so ownership of spend is clear.

  You get

  Spend you can explain and defend, fewer budget surprises, and finance conversations that don’t ambush engineering at quarter-end.

• 06

  DevSecOps reviews & certification readiness

  The situation

  Audits, GDPR-style privacy obligations, or customer security questionnaires are coming—and it’s unclear whether pipelines, clusters, and data flows actually support what legal and sales claim.

  What I do

  I run a structured DevSecOps analysis: how software ships, where secrets and data live, IAM and network boundaries, retention and logging suitable for evidence. Then I harden infra and CI/CD (IaC, pipeline gates, observability) in line with your risk appetite—working alongside security and, where needed, legal/DPO—not replacing them.

  You get

  Prioritized gaps, concrete technical fixes, and infrastructure and delivery that are materially closer to passing scrutiny—evidence you can show, not panic the week before an audit.

Stack

Tools & platforms

Grouped how they show up in real systems—happy to follow your standards.