TACO Observe and Monitor connects metrics, traces and logs for multiple applications, databases, networks, and infrastructure monitored by different on-prem and AWS Cloud tools. Integrate all your monitoring tools to create a centralised metrics data lake and build a dashboard to visualise and build correlations between the state of different elements monitored by different tools, unlocking observability for a single source of truth.

Build connections between disparate systems and data sources for VMs (virtual machines), containers, and on-prem infrastructure, applications, databases and networks to view a complex environment’s health and performance comprehensively.

Set up alerts to your Incident Management tool or use our best-of-breed Atlassian OpsGenie tool.

Our experts set up and configure a best-of-breed toolset and do monthly managed services for all your monitoring requirements.

Features

Infrastructure Monitoring

• Dashboards and Advanced Administrative Tools
• Standard Events and Metrics
• 650+ integrations to connect with multiple tools
• Enterprise Grade Security
• Host and Container Maps
• Alerts
• Container Monitoring
• Outlier Detection
• Watchdog: Automated Insights
• Correlations
• Anomaly Detection
• Forecast Monitoring
• Live Processes
• Serverless containers - AWS Fargate
• Continuous scanning for misconfigurations (CSPM)
• 15+ OOTB compliance frameworks
• Resource inventory
• Vulnerability management
• Case management
• Workflows

Log Management

• Unlimited Sources
• Faceted & Full-text Search
• 650+ vendor-backed integrations
• Custom Processing & Parsers
• Log Analytics and Dashboarding
• Log Anomaly Detection
• Supports PCI and HIPAA compliance
• Fully integrated with Datadog role-based access control (RBAC)
• Enterprise-Grade Security
• Unlimited User Accounts
• Real-time Alerting
• Logging without Limits™
• Log-based custom metrics
• Archive to AWS S3, Azure Blob Storage, and Google Cloud Storage
• Log Rehydration™ from AWS S3, Azure Blob Storage, and Google Cloud Storage

Application Performance Monitoring

• End-to-end distributed tracing
• Service dependency visualisations
• Service Catalog - service ownership management alongside real-time observability data
• Universal Service Monitoring - automatically discover, map, and catalog services and dependencies
• Retain spans using tag-based filters and generate custom metrics from any span via the UI
• AI-based anomaly, outlier, and root cause detection
• End-to-end visibility between queues and application services
• Detect bottlenecks and message-backed queues
• Measure consumer lag in asynchronous applications
• Measure consumer lag in asynchronous applications
• Attribute unexpected throughput to adjacent services and teams
• Correlate delayed messages with related traces and logs
• Span Ingestion: 150GB per APM host, averaged across all your APM hosts
• Span Retention: 1 million Indexed Spans per APM host, averaged across all your APM hosts
• Vulnerability insights in Service Catalog

Database Monitoring

• Slow query detection
• 200 normalized queries supported per host
• Automatic PII obfuscation from all query data
• No code instrumentation is needed
• Unlimited user accounts
• Tag-based query filtering and grouping
• Access to hundreds of relevant database metrics
• Total visibility into your Postgres, MySQL and SQL Server databases, whether self-hosted or managed
• Out-of-the-box database list with active connections and in-depth wait event analysis

Network Monitoring

• Network traffic mapping
• Meaningful traffic aggregation
• Hybrid, on-premise, and cloud coverage
• User-defined tagging
• Device autodiscovery
• Deployment in minutes
• Pivot seamlessly to Infrastructure, APM and Logs
• Automated Infrastructure Tags

Serverless Monitoring

• Integrates with AWS CDK, Serverless Framework, SAM, Terraform and more
• Out-of-the-box health dashboards for API Gateway, Step Functions, SQS, DynamoDB, and more
• Optimize memory use and cold starts with Watchdog Insights
• Available for Lambda functions in all major Lambda runtimes
• Analyze request and response payloads for each serverless request
• Performance metrics and version comparisons for every release with deployment tracking
• Automatic APM trace map visualizes end-to-end trajectory for each request
• Pivot from failing functions to related commits in GitHub