Question 1

What does Proxima do?

Accepted Answer

We provide managed DevOps, Kubernetes, AI/ML infrastructure, and data engineering services. We handle your infrastructure so your team can focus on building products.

Question 2

Where is Proxima based?

Accepted Answer

We are based in Tashkent, Uzbekistan with clients across Central Asia and worldwide. Our team operates 24/7 regardless of timezone.

Question 3

What industries do you work with?

Accepted Answer

We work with fintech, e-commerce, SaaS, logistics, healthcare, and enterprise companies. Our infrastructure expertise applies across industries.

Question 4

Do you offer a free consultation?

Accepted Answer

Yes. Book a discovery call and we will assess your infrastructure, discuss your goals, and recommend the best approach — no commitment required.

Question 5

What certifications does your team hold?

Accepted Answer

We are a Kubernetes Certified Service Provider (KCSP), Linux Foundation Silver Member, CNCF member, and Red Hat Partner. Our engineers hold CKA, CKAD, and other industry certifications.

Question 6

What's included in each plan?

Accepted Answer

Each plan includes a dedicated DevOps/SRE team, CI/CD pipeline management, infrastructure as Code, and incident management. Higher tiers add more team hours, dedicated leads, and advanced features.

Question 7

Can I upgrade mid-contract?

Accepted Answer

Yes, you can upgrade to a higher tier at any time. The price difference is prorated for the remainder of your billing period.

Question 8

How does the SRE add-on work?

Accepted Answer

The 24/7 SRE add-on provides round-the-clock on-call engineers with a 15-minute SLA reaction time. It can be added to any Starter, Growth, or Enterprise plan.

Question 9

What if I exceed my hours?

Accepted Answer

Additional hours beyond your plan's allocation are billed at $60/hr. We will notify you when you reach 80% of your monthly hours.

Question 10

How does hybrid pricing work for LLM/DWH?

Accepted Answer

For LLM and DWH services, the initial setup and configuration is billed at $50/hr (Time & Material). Once your infrastructure is running, we transition to a monthly subscription for ongoing management and support.

Question 11

What does DevOps as a Service include?

Accepted Answer

It includes infrastructure management, CI/CD pipeline setup, monitoring, security hardening, and 24/7 incident response — everything your team needs to ship reliably.

Question 12

Do we need to change our existing stack?

Accepted Answer

No. We adapt to your current tools and workflows. Whether you use GitLab, GitHub Actions, Jenkins, or something else — we integrate with what you have.

Question 13

How quickly can you onboard our project?

Accepted Answer

Typically 1–2 weeks. We start with an infrastructure audit, then assign a dedicated team and begin implementation immediately.

Question 14

What's your SLA for incident response?

Accepted Answer

Our standard SLA is 15-minute reaction time. We provide 24/7 on-call engineering with escalation procedures and post-mortem analysis.

Question 15

Can we scale the team up or down?

Accepted Answer

Yes. You can upgrade or downgrade your plan at any time. The team size adjusts to match your current needs — from 1 engineer to a full DevOps department.

Question 16

How long does a typical Kubernetes migration take?

Accepted Answer

It depends on the complexity of your infrastructure. A simple project can be migrated in 2–4 weeks, while enterprise-scale migrations typically take 2–3 months.

Question 17

Do we need to rewrite our applications for Kubernetes?

Accepted Answer

Not necessarily. Many applications can be containerized as-is with minimal changes. We assess each workload and recommend the best approach — lift-and-shift or refactoring.

Question 18

What happens after the migration is complete?

Accepted Answer

We provide full documentation and team training. You can also opt for ongoing 24/7 support on a monthly subscription basis.

Question 19

Which cloud providers do you support?

Accepted Answer

We work with AWS, GCP, Azure, DigitalOcean, OVH, Hetzner, and on-premise bare-metal environments. We also support hybrid and multi-cloud setups.

Question 20

How is pricing structured?

Accepted Answer

We work on a Time & Material basis at $50/hr. After a discovery call, we provide a detailed scope and estimate for your project.

Question 21

Which LLM models do you support?

Accepted Answer

We deploy any open-source model — LLaMA, Mistral, Falcon, Qwen, DeepSeek, and others. We also support fine-tuned and custom models.

Question 22

Do we need our own GPUs?

Accepted Answer

Not necessarily. We can deploy on your existing hardware, provision cloud GPU instances (AWS, GCP, Lambda Labs), or help you source on-prem GPU servers.

Question 23

How does self-hosted compare to using OpenAI API?

Accepted Answer

Self-hosted gives you full data privacy, no per-token costs, and the ability to fine-tune models. At scale, it's significantly cheaper than API-based solutions.

Question 24

Can you fine-tune models on our proprietary data?

Accepted Answer

Yes. We set up fine-tuning pipelines using LoRA, QLoRA, or full fine-tuning depending on your data size and requirements. Your data stays on your infrastructure.

Question 25

What's the typical setup timeline?

Accepted Answer

A basic deployment takes 1–2 weeks. Full MLOps setup with training pipelines and monitoring typically takes 3–4 weeks.

Question 26

Which data warehouses do you support?

Accepted Answer

We work with ClickHouse, PostgreSQL, BigQuery, Snowflake, and Redshift. We recommend the best fit based on your data volume, query patterns, and budget.

Question 27

Can you migrate our existing data warehouse?

Accepted Answer

Yes. We handle full migrations including schema conversion, data transfer, pipeline rewiring, and validation to ensure zero data loss.

Question 28

Do you support real-time data processing?

Accepted Answer

Yes. We build streaming pipelines with Kafka and Flink for real-time ingestion, alongside batch ETL for historical data processing.

Question 29

How do you ensure data quality?

Accepted Answer

We implement validation rules, schema checks, and monitoring alerts using tools like Great Expectations and custom data quality frameworks.

Question 30

What's the typical project timeline?

Accepted Answer

A basic DWH setup takes 2–4 weeks. Full data platform with ML infrastructure typically takes 6–8 weeks depending on complexity.

Question 31

How do you handle data security?

Accepted Answer

All data stays on your infrastructure. We use encrypted connections, role-based access control, and follow the principle of least privilege. We never store client data on our systems.

Question 32

Do you comply with local regulations?

Accepted Answer

Yes. We work with clients in regulated industries and ensure infrastructure meets local compliance requirements including PCI DSS, SOC 2, and GDPR-related controls.

Question 33

How do you manage secrets and credentials?

Accepted Answer

We implement secret management using HashiCorp Vault, Kubernetes Secrets with encryption at rest, or cloud-native solutions like AWS Secrets Manager.

Question 34

Do you perform vulnerability scanning?

Accepted Answer

Yes. We set up automated container image scanning, dependency checks, and infrastructure vulnerability assessments as part of the CI/CD pipeline.

Question 35

Who has access to our infrastructure?

Accepted Answer

Only assigned engineers with time-limited, audited access. We use Teleport for session recording and access control. All access is logged and reviewable.

Question 36

What does the onboarding process look like?

Accepted Answer

We start with a discovery call, then perform an infrastructure audit. Within 1–2 weeks we assign a team, set up communication channels, and begin implementation.

Question 37

What do you need from us to get started?

Accepted Answer

Access to your infrastructure (cloud console, Git repos, monitoring), a brief on your architecture, and a point of contact from your team. We handle the rest.

Question 38

How do we communicate during the project?

Accepted Answer

We use Slack or Telegram for daily communication, scheduled video calls for syncs, and a ticketing system for task tracking. You get a dedicated account manager.

Question 39

Is there a minimum contract period?

Accepted Answer

No long-term lock-in. Monthly subscriptions can be cancelled with 30 days notice. T&M projects are billed based on actual hours worked.

Question 40

Can we start with a small pilot project?

Accepted Answer

Absolutely. Many clients start with a focused audit or a single service migration before scaling to full infrastructure management.

Question 41

How does your support ticketing work?

Accepted Answer

We provide a dedicated support portal where you can create, track, and prioritize tickets. Critical issues trigger immediate alerts to our on-call team.

Question 42

What are your support hours?

Accepted Answer

Standard support is business hours (9–18 UTC+5). With the 24/7 SRE add-on, we provide round-the-clock coverage including weekends and holidays.

Question 43

What happens during an incident?

Accepted Answer

Our monitoring detects the issue, alerts the on-call engineer within minutes, and we begin diagnosis immediately. You receive status updates throughout with a post-mortem report after.

Question 44

Do you provide post-mortem reports?

Accepted Answer

Yes. Every significant incident gets a blameless post-mortem with root cause analysis, timeline, impact assessment, and preventive measures.

Question 45

Can we escalate issues directly?

Accepted Answer

Yes. Each client has a dedicated account manager and escalation path. Critical issues can bypass the queue and go directly to senior engineers or team leads.

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