Results for “aws-s3”

Query AWS resources using natural language, translating intent into read-only AWS CLI commands for EC2, S3, RDS, Lambda, ECS, EKS, and more.

Queries AWS pricing for EC2, RDS, S3, Lambda, and other services via a helper script, returning on-demand, reserved, and spot rates.

Manages AWS infrastructure across EC2, S3, Lambda, RDS, IAM, CloudFormation, and cost optimization, with guidance on security, monitoring, and operational best practices.

Deploys Flutter backends on AWS using EKS, RDS, S3, Lambda, API Gateway, ElastiCache, Secrets Manager, CloudWatch, and IAM, with CLI examples and CDK infrastructure code.

Identify and remediate Amazon S3 bucket misconfigurations that expose sensitive data, including enabling Block Public Access, auditing policies and ACLs, enforcing encryption, configuring access logging, and deploying automated remediation with AWS Config and Lambda.

Analisa custos AWS e identifica desperdícios em EC2, RDS, S3, EKS, EBS, Elastic IP, NAT Gateway e tráfego, gerando relatório de economia estimada.

Manages multi-cloud infrastructure declaratively through Kubernetes custom resources, covering Crossplane installation, provider setup, and provisioning of AWS resources like RDS and S3.

Diagnoses AWS architecture issues and reviews Well-Architected pillars using read-only AWS CLI commands, with confirmation required for any changes.

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls, and potential data exfiltration using statistical baselines.

Answers questions about AWS resources using the local AWS CLI, defaulting to read-only queries and requiring explicit confirmation before any write or destructive action.

Automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.

Provides a structured approach to designing, implementing, and troubleshooting AWS security configurations with best practices and verification checklists.

Reference for AWS services, architecture patterns, and Well-Architected Framework implementation.

Manage AWS SQS queues, send and receive messages, configure dead-letter queues, and integrate with Lambda using CLI commands and Python boto3 examples.

Query AWS CloudTrail events with boto3, build statistical baselines of normal API activity, and detect anomalies such as unusual event sources, geographic anomalies, high-frequency API calls, and first-time API usage patterns.

Identify AWS IAM privilege escalation paths by analyzing policies for dangerous permission combinations and least-privilege violations using boto3 and Cloudsplaining-style analysis.

Assess cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, and IaC security gaps across AWS, Azure, and GCP with MITRE ATT&CK mapping.

Enumerate AWS resources and identify misconfigurations using ScoutSuite to generate interactive security reports.

Deploy AWS Config rules for continuous compliance monitoring, including managed and custom rules aligned to CIS and PCI DSS frameworks, automatic remediation with SSM Automation, and multi-account compliance aggregation.

Analyze AWS GuardDuty findings, detectors, suppression rules, and member accounts with parallel execution and anti-hallucination guardrails.

Deploy web applications, APIs, and background services on AWS using CDK, covering EC2, ECS Fargate, Lambda, API Gateway, CloudFront, Route 53, RDS, ElastiCache, IAM, and monitoring.

Analyze AWS resources and IaC files to generate cost optimization recommendations, creating GitHub issues for each opportunity.

Assesses cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, and IaC security gaps across AWS, Azure, and GCP with MITRE ATT&CK mapping.

Create, configure, and manage AWS Lambda serverless functions for event-driven compute, including triggers, debugging, cold start optimization, and layers.

Continuously monitor cloud infrastructure for misconfigurations, compliance violations, and security risks using AWS Security Hub, Azure Defender for Cloud, and open-source tools like Prowler and ScoutSuite.