Monitoring platform for keeping systems up and running at all times.
Full stack visibility across the entire stack.
Detect and resolve any incident in record time.
Conform to industry best practices.
Metasearch engine for travel
Brisk Voyage helps people find and book cheap, last-minute weekend trips by continuously searching through flights and hotel prices. The business combines the best round-trip flight and hotel offers and sends them directly into your inbox.
Brisk Voyage has always employed AWS in order to scrape Google Flights and Google Hotels. The decision to use serverless was a no brainer for them; it helped limit overheads, ensured more seamless workflows and easier management for a robust but flexible scraping stack, scraping over 300,000 flight prices from 25,000 flight pages per day.
Any time the Google Flights or Google Hotels page is updated or changed, for example, a new travel update banner that changes the HTML structure would break Brisk Voyage’s existing crawler. Page changes are the most common cause for breakage and require instant, specific alerts for quick remediation to avoid the entire stack failing and all business stopping.
Using another monitoring tool previously, the email alerts were quick but not detailed enough and wouldn’t allow customization. The lack of detail meant sifting through thousands of logs to identify the issue and its source, before being able to verify the error, write new code, test, and then deploy it.
Brisk Voyage primarily uses Dashbird to monitor its serverless infrastructure and raise alerts to any part of the stack that requires Lambda, i.e. most of it. This could be from the sign-up emails to the crawling functions and processes to find the flight and hotel prices.
When any part of the stack fails or returns an error, Dashbird sends an instant alert detailing the issue and its source. With all the information in an email and/or Slack channel and with the ability to click through to Dashbird’s platform, the issue verification step can take place almost immediately.
Dashbird is also used to optimize and manage Lambda costs and size functions. The right balance is needed to ensure the function is large enough to support what’s needed without overpaying, which as a result wastes computing power and costs. To counter this, Dashbird displays the memory usage percentage on its dashboard giving easy insight into Brisk Voyage’s AWS operations. This enables simple optimization changes to be made without negatively affecting the rest of the workflow.
Since moving to Dashbird, Brisk Voyage has reduced its AWS Lambda bill by 10%, halved the time spent remediating errors, and increased visibility of their overall infrastructure.
Brisk Voyage finds the Live Tailing feature incredibly useful as it aggregates all logs into one feed; having a single page to look through provides confidence and reinforces autonomy over their architecture. It also saves time when making code changes and checking new deployments are successful.
Gus Gordon is the Founder of Brisk Voyage. Gus has always enjoyed working with technology, and loves building useful things for people. He also has an extensive background as a software engineer.
Book a demo or start a free trial. Get full access to all premium features for 14 days. No code changes and no credit card required.
Clarus is a complete call management solution for healthcare providers, doctor’s offices, healthcare groups and hospitals. They have two services that rely on different AWS products: Daytime and After-Hours.
Clarus use Dashbird to make sure their services are running smoothly at all times.
Mangomint offers software for salons and spas in the US and Canada. They needed a quick and easy solution for serverless error monitoring. Since starting using Dashbird, their serverless team has gained the confidence and piece of mind that their app is running smoothly at all times.
AskHomey is a property management platform, fully built on serverless from the ground up. They were in need of a tool to help them reduce time spent on investigating error logs and firefighting in order to be able to focus more on developing new features.
End-to-end observability and real-time error tracking for AWS applications.