Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Build and integrate a WYSIWYG editor in minutes. Eddyter offers fast setup, developer-friendly APIs, and seamless content editing for modern web apps today.
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Which is more popular?
Based on our record, Heroku
seems to be a lot more popular than stackprof.
While we know about 74 links to Heroku,
we've tracked only 3 mentions of stackprof.
social mentions
74 vs 3
Cloud Computing popularity
100% vs 0%
alternatives listed
240+ vs 15
Base details
Website, pricing, platforms and company facts side by side.
Ease of Use Heroku offers an extremely user-friendly interface and a high level of abstraction, making it easy for developers to deploy, manage, and scale applications without worrying about the underlying infrastructure.
Quick Deployment One of Heroku’s strongest points is the ability to deploy applications quickly using Git. Developers can push their code to Heroku with a simple command, streamlining the entire process.
Scalability Heroku provides effortless scaling options by allowing developers to add more dynos (containers) with a single command to handle increased traffic and workload.
Add-Ons Ecosystem Heroku offers a rich ecosystem of add-ons, such as databases, caching, monitoring, and more, which can be easily integrated into applications to extend their functionality.
Automatic Updates Heroku automatically handles operating system and server updates, allowing developers to focus solely on their application code rather than maintenance tasks.
Free Tier Heroku offers a free tier with sufficient resources to host small projects and learn the platform without incurring costs, making it accessible for beginners and small-scale applications.
Possible disadvantages
Cost While Heroku offers a free tier, the costs can quickly add up for larger applications and professional use. Paid plans and additional dynos or add-ons can become expensive.
Performance Heroku’s performance can sometimes be suboptimal compared to other cloud providers, particularly when running high-performance or resource-intensive applications.
Limited Control Heroku abstracts away a lot of infrastructure management, which can be a downside for developers who need fine-grained control over their environments and configurations.
Dyno Sleeping Applications running on Heroku’s free tier experience 'dyno sleeping,' where the application goes to sleep after 30 minutes of inactivity, causing a delay when it wakes up after receiving a new request.
Vendor Lock-In Relying heavily on Heroku’s ecosystem and platform-specific features can lead to vendor lock-in, making it challenging to migrate to another platform if needed.
Add-On Costs The costs for add-ons can also become significant, as many useful features and integrations require paid add-ons, increasing the overall expense.
No features have been listed yet.
Analysis
An editorial look at what each product does well and who it suits.
Herokustackprof
Overall verdict
Heroku is a solid choice for developers seeking a straightforward, cloud-based solution for deploying and managing applications. However, it may not be the most cost-effective option for large-scale or data-intensive applications.
Why this product is good
Heroku is a popular platform as a service (PaaS) due to its ease of use, fast deployment process, and robust support for multiple programming languages. It allows developers to focus on building applications without worrying about the underlying infrastructure. Heroku offers scaling capabilities, a wide variety of add-ons, and a strong developer community.
Recommended for
Heroku is recommended for startups, small to medium-sized applications, hobby projects, and developers who value ease of use and quick deployment cycles. It is particularly suited for those who are developing web applications in languages such as Ruby, Node.js, Python, and others supported by the platform.
Overall verdict
StackProf is a well-regarded, sampling-based profiler for Ruby that provides low-overhead, actionable insights into CPU, wall-clock, object allocation, and memory usage, making it a reliable choice for performance analysis in production and development.
Why this product is good
Low-overhead sampling profiler that is safe to run in many scenarios, including production, without significantly impacting performance
Supports multiple profiling modes including CPU time, wall-clock time, and object allocation, giving flexibility for different diagnostic needs
Produces detailed reports with call graphs and flamegraph output that make it easy to identify hotspots and bottlenecks
Well-maintained, widely adopted in the Ruby community, and integrates cleanly with tools like rack-mini-profiler and speedscope
Simple API that lets you profile specific code blocks or entire applications with minimal setup
Recommended for
Ruby developers needing to diagnose CPU or performance bottlenecks in their applications
Teams optimizing Rails applications for latency and throughput
Engineers profiling memory allocation and garbage collection pressure
Developers who want to generate flamegraphs for visual performance analysis
Anyone needing a lightweight profiler suitable for production sampling
Heroku provides a developer-focused platform for the needs of simplified application deployment, including managed, easy-to-use PostgreSQL databases. It comes with intuitive tools and integrations, which can be...
SnapDeploy offers 100 free hours that never expire (Heroku has no free tier). Paid plans start at $9/month. Heroku's Eco dyno starts at $5/month but sleeps after 30 minutes; production-ready Standard dynos start at...
Heroku’s focus on simplicity and developer experience makes it a perfect fit for those who want to focus on building their apps, not babysitting servers. Startups and small businesses, in particular, can benefit from...
Title: [TIL][Python] Online PDF Page-by-Page Viewing and Comparison Tool for Importing Data (Python online PDF Viewer and comparison) and Python Snippets
Published: false
Date: 2023-08-04 00:00:00 UTC
Tags:
Canonical_url:...
- Source: dev.to
/
about 3 years ago
Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. It’s then super easy for anyone to try the new code.
- Source: dev.to
/
over 2 years ago
Stackprof can be used alone/by itself to generate flamegraphs for arbitrary Ruby code.
- Source: dev.to
/
almost 4 years ago
Why do my requests take so much time to complete when View and ActiveRecord are finishing fast?
I’d use something like stackprof ( https://github.com/tmm1/stackprof ) to see where the time is going. If you already have suspicions you can use it to get information about a specific method / few lines of Ruby but there’s also a rack...
Source:
over 4 years ago
Other profilers, such as stackprof, trace everything that’s happening by line. These types of profilers usually need some instrumentation to be configured, as shown below:.
- Source: dev.to
/
over 4 years ago
Alternatives to Heroku and stackprof
When comparing Heroku and stackprof, you can also consider the following products.
DigitalOcean
Vercel
Railway
Render UIKit
Netlify
Amazon AWS
Microsoft Azure
dotMemory
Robot Console
Valgrind
Yourkit
MemoryLogic
OProfile
Oink
