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What is Prequel?

Prequel serves as a collaborative platform designed for the detection and management of issues, particularly tailored for dynamic engineering teams that strive to produce more reliable software. By leveraging shared insights from failures across diverse platforms like GitHub discussions, Discord chats, and post-mortem reports, Prequel transforms this information into a comprehensive repository of problem identifiers that tackle open-source bugs, configuration mishaps, and software design shortcomings. The platform features precise and deterministic detection methods, significantly reducing reliance on inconsistent threshold or anomaly-based alerts while operating in real-time to identify issues as they arise. Installation is remarkably swift, taking merely ten minutes without requiring complex integrations or modifications to existing code, allowing Prequel to seamlessly integrate into existing workflows. Its architecture is designed to run within the cluster, tapping into community expertise to analyze a steady stream of detailed information while safeguarding the privacy and integrity of data within the cluster. This strategy not only bolsters security but also simplifies the detection of potential problems, enabling teams to concentrate on enhancing their software development methodologies. Furthermore, by prioritizing user collaboration and knowledge sharing, Prequel fosters an environment where engineering teams can continuously learn from each other’s experiences, further improving overall software quality.

What is Automat-it?

Incorporating effective cost management into engineering workflows prevents waste from infiltrating production, which can lead to a substantial reduction in expenses, often by 40-50% for startups leveraging AWS. By focusing on proactive expense optimization and waste reduction, potential challenges can be tackled before they expand. Additionally, refining engineering processes by removing infrastructure-related distractions can significantly mitigate the risk of unexpected budget overruns, utilizing tools such as anomaly detection, automated safeguards, and cost-effective workflows. Adopting a Shift-Left FinOps approach involves embedding anomaly detection, budget alerts, and AI-powered over-provisioning safeguards directly into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. Achieving comprehensive visibility across the stack enables the identification of underutilized resources, unnecessary storage consumption, and hidden costs in all cloud environments. Furthermore, performing Blameless Cost Post-Mortems facilitates in-depth evaluations of incidents, transforming singular overspending events into lasting preventative measures. By embracing a FinOps-Native Engineering Practice, organizations can ensure that the financial implications are integrated into the delivery process of every feature, with automated lifecycle policies enhancing overall efficiency. Ultimately, these strategic measures foster a more sustainable and financially accountable engineering framework, paving the way for long-term success.

Media

Media

No images available

Integrations Supported

Amazon Web Services (AWS)
Discord
GitHub
Google Cloud Platform
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Custom pricing options

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Prequel

Company Website

www.prequel.dev/

Company Facts

Organization Name

Automat-it

Date Founded

2012

Company Location

Israel

Company Website

www.automat-it.com

Categories and Features

Bug Tracking

Not specified

Categories and Features

Cloud Cost Management

Not specified

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