Amazon AWS VS Hatica
Compare Amazon AWS VS Hatica and see what are their differences
Automated 60-second forensic business auditing pipeline powered by OpenAI Nano AI. Built for consultants and analysts.
featured
Amazon AWS
Google Cloud Platform
Microsoft Azure
DigitalOcean
Linode
Heroku
Vultr
CloudFlare
Hatica
LinearB
Waydev
GitPrime
Swarmia
Haystack Analytics
Athenian
Teamplify
Hatica equips engineering teams with work visibility dashboards, actionable insights and effective workflows to drive team productivity and engagement in remote and in-office environments alike. Free forever plans to help you get started quickly.
Features: Engineering metrics dashboards 100+ metrics from 20+ apps including Github, Jira, Slack, Zoom, Google Workplace Remote work insights Aggregated work overview, sprint and retro dashboards DORA metrics, CI/CD performance insights and code review analytics Collaboration analytics Team Goals based on dev metrics Async stand-ups and developer check-ins via Slack and Email Code quality metrics Automated Code reviews
Amazon AWS HaticaNo Hatica videos yet. You could help us improve this page by suggesting one.
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Till we started using Hatica, most managers had 10s of tabs open, sifted through each one, and had to piece together work to get a picture of whatโs happening at work. With Hatica, these tabs are gone, and is replaced with one app! Especially the activity dashboards that show all activity along with check-ins from our team. Practically solved all our needs!
This is a young product with ambitious plans to become a comprehensive engineering metrics platform. This means, we can expect great surprises and some room for improvement.
The founders vision is clear and it shows in every release of the product. Plus, with such frequent feature releases, they might just achieve their vision! Responsive founders make the process of reporting bugs and requesting features a breeze and actually see it implemented in the app in a blazing fast turnaround time
Hatica provides all inputs needed for an engineering team! From gauging whether work load is balanced, to understanding peopleโs actual work hours, to finally looking at code churn - Hatica provides all of these in one place! Would love to see a TV mode so that we can present these dashboards in our workforce planning meetings.
Based on our record, Amazon AWS seems to be more popular. It has been mentiond 484 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / 17 days ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / about 1 month ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / about 1 month ago
AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / 2 months ago
This approach, popularized by platforms like AWS, helps users make informed decisions about how far to push the boundaries while maintaining realistic expectations about support. - Source: dev.to / 4 months ago
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.