Sold by: Dedicatted
For data teams whose Apache Spark batch jobs on Amazon EMR overrun their windows, fail on Spot interruptions and release upgrades, and cost more each quarter because nobody tunes the analytics platform after go-live. Dedicatted runs your EMR estate month to month: job failure response, Spot and scaling tuning, release upgrades, data integration pipeline checks and a monthly cost per job report, on EMR on EC2, EMR on EKS or EMR Serverless.
Overview
Who this is for
Fintech, ad-tech, retail and SaaS companies in Canada, the United States and Europe running daily or hourly Spark workloads on Amazon EMR that feed reports, models or client deliveries. The buyer is the Head of Data, data platform lead or CTO.
The problem
Spark jobs that worked at launch slowly degrade: data grows, shuffles spill, Spot capacity disappears mid-job, release upgrades are skipped, and batch windows overrun into business hours. Nobody owns cost per job, so the platform gets more expensive every quarter.
What we deliver
Onboarding. We inventory jobs, schedules, clusters or virtual clusters, SLA windows and cost, set alarms on job failures and runtimes, and write runbooks for the failures that recur.
Monthly operations. Our engineers respond to job failures within agreed windows, rerun or fix them, tune Spark configuration, instance fleets, Spot and autoscaling, and keep EMR releases current through tested upgrades.
Data checks. Row count, schema and freshness checks on the pipelines' outputs, with alerts to the owning team.
Reporting. A monthly report covers job success, runtimes against SLA windows and cost per job, with tuning proposals.
For moving Spark workloads onto EMR in the first place, see Spark Workload Migration to Amazon EMR on EKS by Dedicatted; for full platform ownership, see Cloud & Platform Managed Services (MSP).
AWS services integrated
Amazon EMR (on EC2, on EKS and Serverless), Amazon EC2 Spot Instances, Amazon S3, AWS Glue Data Catalog, Amazon Managed Workflows for Apache Airflow or AWS Step Functions, Amazon CloudWatch, AWS Lake Formation and AWS Cost Explorer.
Outcomes
- Failed jobs are handled within agreed windows instead of discovered by report users.
- Batch windows are met, with runtimes tracked against each SLA.
- EMR releases stay current through tested upgrades.
- Cost per job is reported and tuned every month.
Evidence
Dedicatted holds the AWS Service Delivery validation for Amazon EMR and is in the AWS Managed Service Provider Program. For a US financial reporting provider, Dedicatted moved data processing to Amazon EMR on EKS and runs the platform under its managed service, including the client pipelines that feed it.
Where we deliver
Dedicatted is an AWS Premier Tier Services Partner and AWS Managed Service Provider headquartered in Toronto and Montreal, Canada. It is the first Canadian partner to hold both AWS AI Competencies (Generative AI and Agentic AI) and the first and only Canadian AWS Partner to hold the AWS Digital Sovereignty Services Competency. We deliver across Canada, the United States and Europe, in English and French, and support Canadian data residency in the AWS Canada (Central) and Canada West (Calgary) Regions.
AWS infrastructure charges
AWS bills you for EMR usage, EC2 and Spot capacity or Serverless resources, S3 storage and requests, orchestration, CloudWatch and the Glue Data Catalog. We work through IAM roles you create.
Highlights
- Your Spark platform on Amazon EMR run for you: job failure response within agreed windows, Spark, instance fleet, Spot and autoscaling tuning, and EMR release upgrades tested before rollout, on EMR on EC2, EMR on EKS or EMR Serverless.
- Data you can rely on: row count, schema and freshness checks on pipeline outputs with alerts to the owning team, and a monthly report on job success, runtimes against SLA windows and cost per job.
- From an AWS Managed Service Provider with the Amazon EMR Service Delivery validation that moved a US financial reporting provider's processing to Amazon EMR on EKS and runs it under a managed service.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Contact
- Email: contact@dedicatted.com
- Contact form: https://dedicatted.com/contact
- Service page: https://dedicatted.com/services/data/data-warehouse-consulting
Before you buy
- A scoping call confirms the jobs, clusters, schedules and AWS accounts in scope and your SLA windows, followed by a written scope and a private offer through AWS Marketplace.
During the service
- Production incidents reach our engineers through the paging route agreed at onboarding, with response targets written into the private offer.
- Other requests go by email or a shared channel, in English or French, with a named service lead and a monthly review.
Response time
- Requests that are not production incidents receive a response within two business days.
Ending the service
- Runbooks, job configuration, alarms and the cost history stay with your team, and our access is removed.