Deployment.io
Harness
Jenkins
GitHub Actions
Render UIKit
Heroku
Vercel
1-Click Deploy
Middleware.io
Datadog
Dynatrace
NewRelic
Grafana
LightStep
Prometheus
Splunk Enterprise
Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.
Middleware is an end-to-end cloud observability platform to brings all metrics, logs, and traces in one unified timeline to debug issues faster. It helps you un-silo your data and insights from all your containers, empowers your developers and DevOps to identify root causes, and solves issues in real-time.
With our unified view of metrics, logs, traces, and events, we accelerate troubleshooting and provide AI-driven insights for better infrastructure and application performance.
Key Features: * Infrastructure, Kubernetes, APM, Database, Log, Synthetic and Browser Monitoring * Custom Dashboards and Alerting * AI-Based Advisor Provides Insight and Suggestions * Unified Dashboard
Businesses of all sizes use our platform to reduce downtime and improve the user experience.
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Deployment.io's answer
I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.
To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.
Deployment.io's answer
ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS
Deployment.io's answer
Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.
Deployment.io's answer
Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.
Deployment.io's answer
For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.
Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.
Based on our record, Middleware.io seems to be more popular. It has been mentiond 1 time 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.
Middleware.io - Middleware observability platform provides complete visibility into your apps & stack, so you can monitor & diagnose issues at scale. They have a free forever plan for Dev community use that allows Log monitoring for up to 1M log events, Infrastructure monitoring & APM for up to 2 hosts. - Source: dev.to / 4 months ago
Harness - Automated Tests For Your Web App
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!
GitHub Actions - Automate your workflow from idea to production
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.