Amazon Web Services
Global cloud services platform providing managed compute, storage, networking, data platforms, analytics, real-time ingestion and processing, machine learning platforms and MLOps, publish-subscribe messaging, and centralized cryptographic key management. Supports geographically distributed regions, availability zones, and edge locations, with tools for governance, identity and access control, observability, and incident response. Operates a commercial marketplace that enables procurement of third-party and multi-product solutions, private-offer pricing, professional services listings, and curated industry-specific solution categories.
Industries
N/A
Nr. of Employees
medium (51-250)
Services
Provisioning of compute, network, and availability infrastructure across multiple geographic regions, availability zones, and edge locations to support low-latency and redundant deployments.
Durable object storage with lifecycle management and integration with table-format analytics and metadata catalog services.
Managed cluster and job orchestration for large-scale distributed processing engines used for ETL, analytics, and data preparation, with options for fine-grained data access.
Managed tooling and infrastructure for dataset labeling, model training, model registry, autoscaled training and inference, and deployment workflows.
Integrated monitoring, logging, tracing, and audit data services with tooling for automated instrumentation-gap analysis and developer-integrated investigation workflows.
Identity and access management, role-based authorization, session tagging, threat detection, and regional deployment options for compliance-sensitive workloads.
Provisioning of compute, network, and availability infrastructure across multiple geographic regions, availability zones, and edge locations to support low-latency and redundant deployments.
Durable object storage with lifecycle management and integration with table-format analytics and metadata catalog services.
Managed cluster and job orchestration for large-scale distributed processing engines used for ETL, analytics, and data preparation, with options for fine-grained data access.
Managed tooling and infrastructure for dataset labeling, model training, model registry, autoscaled training and inference, and deployment workflows.
Integrated monitoring, logging, tracing, and audit data services with tooling for automated instrumentation-gap analysis and developer-integrated investigation workflows.
Identity and access management, role-based authorization, session tagging, threat detection, and regional deployment options for compliance-sensitive workloads.
Expertise Areas
- Cloud infrastructure operations and region/edge management
- Data lake architecture, metadata cataloging, and table-format analytics
- Distributed data processing and managed cluster orchestration
- Zero-ETL replication and change-data-capture pipelines
Key Technologies
- Object storage with open table format support
- Virtual machines, containers, and serverless function execution
- Distributed data processing frameworks (Spark-style)
- Change-data-capture into analytical table formats
News & Updates
Guidance on building organizational resilience through IT agility, risk management, workforce preparedness, and cloud adoption to maintain operations during disruptions.
Threat intelligence investigation that identified a campaign compromising legitimate websites to redirect visitors to malicious infrastructure and the operational steps taken to isolate affected compute and disrupt actor domains.
Technical guidance for migrating block storage volumes to a performance-configurable volume type that separates throughput and IOPS from provisioned storage size to reduce cost and improve predictability.
Solution pattern that replicates NoSQL table data into open-table-format on object storage and runs ad hoc analytical queries using an embedded analytical engine inside a function execution environment.
Description of spatial-temporal machine learning models that infer defender-receiver matchups and coverage assignments using frame-level tracking data and specialized model architectures.
Overview of the capability to invoke serverless functions on object retrieval requests to transform, redact, or format data before returning it to applications.
Guidance on building organizational resilience through IT agility, risk management, workforce preparedness, and cloud adoption to maintain operations during disruptions.
Threat intelligence investigation that identified a campaign compromising legitimate websites to redirect visitors to malicious infrastructure and the operational steps taken to isolate affected compute and disrupt actor domains.
Technical guidance for migrating block storage volumes to a performance-configurable volume type that separates throughput and IOPS from provisioned storage size to reduce cost and improve predictability.
Solution pattern that replicates NoSQL table data into open-table-format on object storage and runs ad hoc analytical queries using an embedded analytical engine inside a function execution environment.
Description of spatial-temporal machine learning models that infer defender-receiver matchups and coverage assignments using frame-level tracking data and specialized model architectures.
Overview of the capability to invoke serverless functions on object retrieval requests to transform, redact, or format data before returning it to applications.