Results for “cloud-monitoring”

Evaluates Google Cloud workloads against the Performance Optimization pillar of the Well-Architected Framework, providing actionable recommendations for resource allocation, modular design, elasticity, and monitoring.

Deploy, monitor, and manage Azure services with battle-tested patterns covering cost, security, networking, performance, monitoring, IaC, and identity.

Conduct cloud security audits using CIS benchmarks for AWS, Azure, and GCP, including automated assessments, remediation, and continuous compliance monitoring.

Structured guidance for cloud architecture covering accounts, networking, and well-architected trade-offs, with a four-stage workflow from context clarification to operational follow-through.

Enables comprehensive security monitoring across Azure subscriptions, including cloud security posture management, workload protection, regulatory compliance assessment, and adaptive security controls.

Continuously monitor multi-cloud environments for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Azure Defender, and GCP Security Command Center.

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.

Hardens serverless compute platforms (AWS Lambda, Azure Functions, Google Cloud Functions) by enforcing least privilege IAM roles, eliminating hardcoded secrets, scanning dependencies for vulnerabilities, validating input, securing function URLs, and enabling runtime monitoring.

Detect and respond to unauthorized cryptocurrency mining in AWS and Azure environments using cost anomalies, compute utilization, network traffic analysis, and runtime monitoring.

Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.

Collect and analyze logs, snapshots, and metadata from AWS, Azure, and GCP to investigate security breaches in cloud environments.

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.

Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource isolation, and forensic evidence acquisition adapted for ephemeral cloud infrastructure.

Perform authorized penetration testing against AWS, Azure, and GCP cloud environments using cloud-specific tools and methodologies, with findings mapped to the MITRE ATT&CK Cloud matrix.

Deploy Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations across AWS, Azure, and GCP.

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

Deploy and operationalize Amazon GuardDuty for continuous threat detection across AWS accounts and workloads, including enabling protection plans, interpreting findings, and building automated response workflows.

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.

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda to Functions, Beanstalk/Heroku/App Engine to App Service, Fargate/Kubernetes/Cloud Run/Spring Boot to Container Apps.

Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP.

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.

Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.

Manage and use Lambda Labs GPU cloud instances for ML training and inference with SSH access, persistent filesystems, and multi-node clusters.

Deploy cloud-native deception across AWS, Azure, and GCP using decoy resources that generate high-fidelity alerts when attackers interact with them.

Evaluates a containerized framework for deploying distributed big data workloads, measuring execution time and cloud cost scaling from four to eight nodes.

Map AWS and Azure attack paths and find exploitable misconfigurations with CloudFox.

Provisions and manages Redpanda Cloud Dedicated clusters via the Control Plane API, covering network and cluster creation, polling operations, and connectivity configuration.

Provisions and manages Redpanda Cloud Serverless clusters via the public Control Plane API, including authentication, cluster lifecycle, and data-plane operations.

Manages NS1 DNS zones, records, filter chains, monitoring jobs, and traffic steering via the NS1 API, with a discovery-first workflow for inspection and troubleshooting.

Run ML training and batch jobs across multiple clouds with automatic cost optimization, spot instance recovery, and unified orchestration.