Hatchet is an AI tool developed to improve incident response procedures by serving as a supportive partner for on-call engineers. It aids in triaging, investigating, and implementing fixes to expedite the resolution of incidents. The tool reads logs, communication channels, and code to provide active suggestions for code corrections. Hatchet can be seamlessly integrated into various systems by calling it at the entry point and directing it to the service's log file. Data security is a key feature of Hatchet, operating with a self-hosted solution that ensures all data training is conducted on-premises. The tool prioritizes the security of user data, employing Code Llama 2 to address security issues, and operates without telemetry within the user's Virtual Private Cloud (VPC). Hatchet is particularly suitable for tier-1 services, focusing on aiding Series B to Series D companies facing critical service challenges with noisy on-call environments. By assisting on-call engineers in streamlining their workflows, Hatchet aims to enhance efficiency, reduce the impact of incidents, and potentially prevent financial losses. Those interested in Hatchet can sign up for early access or contact the team directly for further information.
Hatchet was created to optimize incident response processes, providing AI-powered assistance for triage, investigation, and deployment of fixes. It was founded by a team of engineers and launched on September 13, 2023. The company behind Hatchet focuses on enhancing incident resolution for tier-1 services, especially in Series B - D companies. The tool prioritizes data security through self-hosted deployments and operates without telemetry, ensuring all processing occurs within the user's VPC.
To use Hatchet effectively, follow these steps:
Understanding Hatchet: Hatchet is an AI tool that assists with incident response by reading logs, communication channels, and code to suggest fixes for issues promptly.
Integration: Easily integrate Hatchet into your system by calling it in the entry point and directing it to the service's log file.
Data Security: Ensure data security by utilizing Hatchet's self-hosted solution, where all training occurs on-premises. The tool operates without telemetry, functioning entirely within your Virtual Private Cloud (VPC).
Workflow Optimization: Hatchet specializes in tier-1 services and is ideal for Series B - D companies dealing with critical services and noisy on-call environments. It enables on-call engineers to enhance their workflows significantly.
Benefits: On-call engineers using Hatchet can quickly triage and investigate incidents, potentially preventing financial losses associated with prolonged downtime.
Contact and Access: Sign up for early access or directly contact the Hatchet team for further inquiries.
By following these steps, you can leverage Hatchet to streamline your incident response process, save time, and improve the efficiency of your on-call operations.
Hatchet's capability to read logs and provide suggestions for code corrections is quite impressive. This feature has helped me understand issues better.
The integration process was a bit cumbersome, and it took time to set it up properly with our existing systems.
It helps in triaging incidents faster, which is crucial when we have noisy on-call environments. However, it still needs more improvements in real-time suggestions.
I love how Hatchet prioritizes data security. Knowing that our data is processed on-premises gives me peace of mind.
Sometimes, the suggestions can be a bit generic, and I wish it could provide more tailored advice based on our specific environment.
Hatchet significantly reduces the time we spend on investigating incidents, which allows us to focus more on development rather than firefighting.
The concept behind Hatchet is great. It aims to assist on-call engineers, which is a much-needed support in our field.
The tool is not very user-friendly. The learning curve is steep, and I often find myself frustrated when trying to navigate it.
It helps in identifying issues from logs quickly, but the execution is often lacking and can sometimes lead to more confusion.
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