You will get MySQL Disk & Query Triage Audit

Freddy Daniel A.Status: Offline
Freddy Daniel A.
5.0

Let a pro handle the details

Buy Database Queries services from Freddy Daniel, priced and ready to go.
Freddy Daniel A.Status: Offline
Freddy Daniel A.
5.0

Let a pro handle the details

Buy Database Queries services from Freddy Daniel, priced and ready to go.

Project details

I review MySQL disk pressure, slow-query symptoms, binlog/log growth, processlist noise, and query patterns from non-sensitive evidence so you can decide what to fix before making risky production changes.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, MongoDB, Realm Database, Azure Cosmos DB
What's included
Service Tiers Starter
$35
Standard
$125
Advanced
$350
Delivery Time 1 day 2 days 4 days
Number of Revisions
011
Number of Queries
135
Query Debugging
Query Optimization
-
Query Scheduling
-
-
-
Query Analysis
Source Code
-
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$20
Additional Query (+ 1 Day)
+$25
Query Optimization (+ 1 Day)
+$40

Frequently asked questions

5.0
3 reviews
100% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
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DS

Danny S.
5.00
Jan 23, 2026
Secure Messaging System Setup for Remote Team

GW

George W.
5.00
Jul 9, 2025
Need help with database and python processing

GW

George W.
5.00
May 25, 2025
Need Mysql DBA to advise on how to clean up disk space Freddy is a HUGE find. It's very rare to find someone as seasoned and talented as Freddy is.
He is professional, cares for his clients, and will gain your REPEAT BUSINESS.

We ending contract as we promised to give him a good review but will be hiring again.
Freddy Daniel A.Status: Offline

About Freddy Daniel

Freddy Daniel A.Status: Offline
Senior Platform Engineer | Cloud Cost, Kubernetes, LLMOps
100% Job Success
5.0  (3 reviews)
Santa Cruz de la Sierra, Bolivia - 11:08 pm local time
I help technical teams find production risk before it becomes expensive: cloud cost leaks, Kubernetes readiness gaps, fragile CI/CD, unstable APIs, MySQL disk/query issues, and LLMOps observability blind spots.

My work is strongest when a team needs senior judgment before making infrastructure changes, scaling an AI feature, touching production, or spending more on cloud resources.

Typical audits I handle:
- Cloud Cost Leak Check: oversized compute, idle resources, orphaned storage, weak tagging, missing budgets, Kubernetes waste.
- Kubernetes Readiness Review: probes, resource requests/limits, rollout safety, ingress, secrets, scaling, rollback readiness.
- LLMOps Observability Review: latency, token cost visibility, prompt/response logging, RAG blind spots, dashboards, alerting quality.
- MySQL / API / CI-CD Triage: disk pressure, slow queries, FastAPI reliability, Dockerfile risk, pipeline fragility.

I do not need sensitive credentials for an initial audit. A safe first pass usually works from screenshots, exports, logs, YAML files, code snippets, architecture diagrams, or non-sensitive configuration excerpts.

You get a clear report with prioritized findings, risk level, evidence reviewed, practical recommendations, and the safest next step:
- no immediate action,
- a focused implementation sprint,
- or monthly reliability/cost/observability support if the issue is recurring.

Relevant background:
- 20+ years across infrastructure, cloud, telecom platforms, DevOps, automation, databases and production operations.
- Senior IT Cloud Engineer experience with OpenStack, Docker and Kubernetes environments.
- 5.0 Upwork feedback on technical work, including MySQL/database and Python-related support.

If you need a careful senior review before touching production, send me the non-sensitive evidence and I will help you define the safest next step.

Steps for completing your project

After purchasing the project, send requirements so Freddy Daniel can start the project.

Delivery time starts when Freddy Daniel receives requirements from you.

Freddy Daniel works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1: Symptom Review

I review your screenshot, logs, or description to understand the symptoms and environment.

Step 2: Root Cause Analysis

I identify likely root causes: disk consumption patterns, query issues, binlog accumulation, configuration gaps, and process bottlenecks.

Review the work, release payment, and leave feedback to Freddy Daniel.