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MLOps
Machine Learning Operations
Our MLOps team specializes in assisting customers with data analytics and machine learning workloads. The MLOps team holds AWS certifications in Solutions Architecture Professional, Data Analytics Specialty, and Machine Learning Specialty.
We follow MLOps principles, and AWS Well-Architected Framework best practices and have assisted our customers with AWS PoC and Migration workloads from on-premises and cloud environments. Our customers range from Startups, SMB and Enterprise.
Core Services
MLOps Consulting Services
Data Analytics, Big Data & AI/ML Workloads
Security & Compliance Workloads
AWS PoC/Migration Workloads
AWS Reference Architectures
MLOps Lifecycle Workloads
Shared Responsibility
The below is a breakdown of the responsibilities of the MLOps team and the Customers team:
Tech Stack
AWS Cloud
Glue, EMR, Lambda, Step Functions, SageMaker, ECS, EKS, S3, Snowball, Redshift, RDS, DMS, OpenSearch, QuickSight, CodeCommit, CodeBuild, CodePipeline etc.
SaaS
Snowflake, and Databricks as alternative Data Warehouse services forming part of your AWS workloads.
IaC
Terraform to create deployable services as part of your AWS workloads (i.e., HCL, Terraform CDK-TF, Python and Golang.)
Data Lakes
Delta Lake, Apache Hudi, and Apache Iceberg for storing and processing large volumes of data as part of your AWS Lakehouse architecture.
ETL/ELT
Apache Airflow and Fivetran as alternatives to AWS Glue for your ETL workflows as part of your AWS workloads.
Hugging Face
Deploying and running Hugging Face models as part of AWS ML workloads.
Process
Technical Discovery Session
- Determine your budget.
- Understand your requirements.
- Understand and document your business success metrics.
- Review and understand your current workflow and solution architecture.
- Determine where you are with your Data Analytics, Big Data or Machine Learning journey.
- Collaborate with your technical team to provide you with a proposed solutions architecture.
Scope Assessment
Determine the appropriate workload type:
- MLOps consulting Services
- Data Analytics, Big Data and AI/ML
- Security and Compliance
- AWS PoC/Migration
- MLOps Lifecycle
- AWS Reference Architectures
Scope of work:
- Define a scope of work breakdown, based on the agreed understanding of the requirements and shared responsibilities between ourselves and the customer.
Quote/Proposal
- Provide customer with a quote, based on the agreed scope of work and budget.
- Provide customer with an AWS proposal, based on the agreed scope of work to apply for AWS funding to potentially offset a portion of the workload’s costs.
Why Silicon Overdrive?
Founded in 1995, Silicon Overdrive has over 25 years of experience as a leading IT Managed Services business.
Silicon Overdrive has significant experience and expertise in helping customers migrate, secure, optimize and manage their AWS infrastructure, as well as achieve and maintain security and compliance, including POPIA, GDPR, PCI DSS, ISO 27001, and HIPAA.
We have been awarded AWS System Integrator Partner of the Year Sub-Saharan Africa 2023, AWS Public Sector Partner of the Year Sub-Saharan Africa 2021, and AWS Consulting Partner of the Year Sub-Saharan Africa 2020.
We are an AWS Premier Consulting Partner, AWS Education Services Competency Partner, AWS Migration Competency Partner, AWS DevOps Competency Partner, AWS Solution Provider Partner, AWS Immersion Day Partner, and AWS Public Sector Partner.
We are also an AWS Well-Architected Partner and an Amazon Elastic Compute Cloud (Amazon EC2) for Microsoft Windows Service Delivery Partner.
Our AWS team has 100+ AWS certifications, including AWS Developer Associate, AWS Solutions Architect Associate, AWS SysOps Administrator Associate, AWS DevOps Engineer Professional, AWS Solutions Architect Professional, AWS Database Specialty, AWS Security Specialty, AWS Machine Learning Specialty, AWS Data Analytics Specialty, and AWS Advanced Networking Specialty certifications.
