CLOUD PLATFORM, FINOPS & MANAGED OPERATIONS

Infrastructure that doesn't distract you from your product.

We operate and optimize your cloud infrastructure —cost, availability, and scalability— including AI workloads, so your team can focus on building, not maintaining the platform.

Review costs and operations

The platform should support the business, not occupy it

Every hour an engineering team spends maintaining infrastructure, resolving incidents, or making sense of an unexpected cloud bill is an hour not spent building product.

At Gizlo we operate cloud platforms —including the new agent and AI workloads— with the FinOps, SRE, and observability discipline that makes them predictable, so they stop being a distraction. Our Cloud & AI FinOps Assessment is the starting point for seeing where you stand today.

CHALLENGES WE ADDRESS

Challenges our clients face

Unpredictable cloud costs

Bills that grow with no clear visibility into what's driving them, with oversized or misconfigured resources.

Incidents that disrupt operations

Service outages or degradations that affect the business because there's no observability or a clear response process.

AI workloads with no cost control

Agents, models, and AI pipelines that consume cloud resources without anyone measuring their cost per task or transaction.

Engineering teams operating infrastructure instead of building product

Without a managed operations model, the internal team absorbs tasks that pull it away from its core function.

WHAT'S INCLUDED

What the service includes

Cloud platforms and Platform Engineering

We design and operate the base infrastructure and internal platforms your product runs on, under our Managed Cloud Platform model and our Platform Engineering Accelerator.

  • Platform architecture on AWS and Google Cloud
  • Kubernetes implementation and operation
  • Internal developer platforms (platform engineering)
  • High availability and failure recovery

SRE, observability, and incident management

We instrument your platform to detect and resolve problems before they impact the business, with our Reliability Accelerator as the entry point.

  • Monitoring, alerting, and observability
  • Incident management and 24/7 response
  • SLO and SLI definition
  • Runbooks and response automation

DevSecOps

We build security into every stage of the deployment cycle, not as a final review.

  • Infrastructure and CI/CD pipeline security
  • Vulnerability and patch management
  • Access and secrets policies
  • Continuous compliance and auditing

Cloud FinOps and AI FinOps

We give you visibility and control over cloud spend, including agent and AI workloads.

  • Cloud consumption analysis by workload, including AI
  • Cost per transaction or agent task
  • Optimization recommendations
  • Cost dashboards for business and engineering

LLMOps, AgentOps, and Managed AI Operations

We continuously operate the AI models and agents in production, not just the infrastructure that supports them, through our Managed AI Operations service.

  • Monitoring of models, LLMs, and agents in production
  • Version management and retraining
  • 24/7 managed operation of AI workloads
  • Periodic status and cost reports
METHODOLOGY

From strategy to execution

  1. 01

    Discovery

    We understand the context, business objectives, current systems, constraints, risks, and improvement opportunities.

  2. 02

    Assessment and architecture

    We design the target solution, define roadmap, architecture, team, technologies, and implementation model.

  3. 03

    Iterative implementation

    We build in phases, prioritizing value, controlling risks, and continuously validating results with the client.

  4. 04

    Deployment and stabilization

    We support the move to production, configure monitoring, resolve initial incidents, and ensure operational continuity.

  5. 05

    Continuous evolution

    We optimize, automate, incorporate new capabilities, and support platform growth.

EXPECTED OUTCOMES

What we can achieve together

  • More predictable cost per transaction or AI task.
  • Higher availability of critical platforms.
  • Shorter incident resolution time (MTTR).
  • Identified savings in current cloud spend.

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Cloud & AI FinOps Assessment

Evaluate cloud costs

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We design cloud-native architectures that scale with your business without compromising resilience or cost efficiency.

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