Dashbird favicon

Dashbird
Agentless Monitoring and Error Detection for Serverless Infrastructures

Dashbird
Usage Based

Home: https://dashbird.io

Social:
Visit Dashbird

What is Dashbird?

Dashbird is a specialized monitoring and observability solution designed for serverless infrastructures on AWS. Leveraging advanced artificial intelligence, it provides comprehensive visibility across the entire stack, covering resources such as Lambda, API Gateway, DynamoDB, SQS, and more. With agentless setup via a simple CloudFormation deployment, users can quickly access end-to-end monitoring, log analytics, tracing, and tailored dashboards without modifying application code.

The platform excels in automated incident management, error detection, and continuous security and compliance assessments based on industry best practices. Organizations benefit from enhanced reliability, significantly reduced downtime, and accelerated troubleshooting, all while maintaining cost-effective observability at scale. Dashbird seamlessly assists engineering, DevOps, security, and architectural teams in optimizing performance, adhering to compliance standards, and delivering robust cloud-native applications.

Features

  • Agentless Setup: Monitors AWS serverless resources without code changes or instrumentation.
  • Real-Time Incident Detection: Uses AI to detect and alert on errors and incidents rapidly.
  • End-to-End Visibility: Offers full stack observability across Lambda, Gateway, DynamoDB, and more AWS services.
  • Log Analytics & Tracing: Provides advanced search and analysis of CloudWatch logs with integrated tracing.
  • Custom Dashboards: Enables tailored visualizations for various operational metrics and KPIs.
  • Automated Insights: Delivers proactive recommendations and best-practice guidance for serverless architectures.
  • Security & Compliance Evaluation: Continuously assesses cloud infrastructure against industry standards.
  • Well-Architected Reports: Generates reports to help meet AWS well-architected framework requirements.
  • Scalable Resource Monitoring: Monitors thousands of cloud resources efficiently.
  • Cost-Effective Pricing: Pricing model based on usage, suitable for infrastructures of any scale.

Use Cases

  • Real-time monitoring of AWS Lambda functions and serverless workloads.
  • Automated incident detection and rapid resolution in distributed cloud environments.
  • Continuous security and compliance assurance across AWS resources.
  • In-depth log analytics and troubleshooting for DevOps and engineering teams.
  • Generating AWS well-architected reports for best-practice adherence.
  • Reducing observability and infrastructure downtime for production applications.
  • Optimizing cloud resource performance and cost management.

FAQs

  • How do I set up Dashbird?
    Setting up Dashbird takes under 5 minutes and requires no code changes; users just need to deploy a CloudFormation stack and link their AWS account.
  • Do I need to modify my application code to use Dashbird?
    No, Dashbird does not require any code or configuration changes to your applications.
  • What AWS services are supported by Dashbird?
    Dashbird supports monitoring of Lambda, DynamoDB, SQS, ECS, API Gateway, HTTP API Gateway, RDS, SNS, OpenSearch, ELB, Kinesis, and Step Functions.
  • How does Dashbird ensure data security?
    Dashbird is SOC-2 compliant, encrypts customer data at rest, and stores all information securely within AWS.
  • Does Dashbird affect the performance of AWS Lambda functions?
    No, Dashbird gathers data indirectly from AWS CloudWatch APIs and does not impact Lambda function performance.

Related Queries

Helpful for people in the following professions

Blogs:

  • Best ai tools for Twitter Growth

    Best ai tools for Twitter Growth

    The best AI tools for Twitter's growth are designed to enhance user engagement, increase followers, and optimize content strategy on the platform. These tools utilize artificial intelligence algorithms to analyze Twitter trends, identify relevant hashtags, suggest optimal posting times, and even curate personalized content.

  • Best text to speech AI tools

    Best text to speech AI tools

    Text-to-speech (TTS) AI tools are designed to convert written or text-based content into natural-sounding spoken audio. These tools utilize various deep learning and neural network architectures to generate human-like speech from textual input.

  • AI thumbnail maker tools

    AI thumbnail maker tools

    Automatically generate visually appealing and optimized thumbnails for various digital content, streamlining the design process and enhancing visual engagement

Didn't find tool you were looking for?

Be as detailed as possible for better results