Based on monthly keyword-search data
OpenTelemetry unifies traces, metrics, and logs to optimize DevOps observability.
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Sentry Sentry automates DevOps error monitoring with real-time alerts and performance insights | 172.3K | +83% |
Sentry automates DevOps error monitoring with real-time alerts and performance insights | |||
2 | Roadie Roadie accelerates DevOps with managed Backstage portals, templates, and service catalogs | 122.8K | +35% |
Roadie accelerates DevOps with managed Backstage portals, templates, and service catalogs | |||
3 | Github Github integrates repo hosting, issues, and CI/CD to streamline DevOps workflows. | 1.0M | -13% |
Github integrates repo hosting, issues, and CI/CD to streamline DevOps workflows. | |||
4 | Honeybadger Honeybadger automates error tracking, uptime monitoring, and alerts to streamline DevOps. | 210.4K | +14% |
Honeybadger automates error tracking, uptime monitoring, and alerts to streamline DevOps. | |||
5 | Netlify Netlify automates CI/CD for web apps with preview builds, rollbacks, and workflows | 79.2K | +21% |
Netlify automates CI/CD for web apps with preview builds, rollbacks, and workflows |
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Github Github integrates repo hosting, issues, and CI/CD to streamline DevOps workflows. | 1.0M | -13% |
Github integrates repo hosting, issues, and CI/CD to streamline DevOps workflows. | |||
2 | Gogs Gogs streamlines DevOps with self-hosted Git, issues, and CI integrations to optimize workflows | 246.0K | +0% |
Gogs streamlines DevOps with self-hosted Git, issues, and CI integrations to optimize workflows | |||
3 | Honeybadger Honeybadger automates error tracking, uptime monitoring, and alerts to streamline DevOps. | 210.4K | +14% |
Honeybadger automates error tracking, uptime monitoring, and alerts to streamline DevOps. | |||
4 | Cypress Cypress accelerates DevOps with reliable end-to-end testing and seamless CI/CD integration. | 205.0K | +6% |
Cypress accelerates DevOps with reliable end-to-end testing and seamless CI/CD integration. | |||
5 | Prometheus Prometheus powers DevOps monitoring with time-series metrics, alerts, and easy integrations | 201.0K | +0% |
Prometheus powers DevOps monitoring with time-series metrics, alerts, and easy integrations |
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Sentry Sentry automates DevOps error monitoring with real-time alerts and performance insights | 172.3K | +83% |
Sentry automates DevOps error monitoring with real-time alerts and performance insights | |||
2 | Linearb LinearB automates DORA tracking, surfacing bottlenecks to optimize DevOps delivery | 9.4K | +50% |
LinearB automates DORA tracking, surfacing bottlenecks to optimize DevOps delivery | |||
3 | Lando Lando automates local DevOps with Dockerized stacks, standardizing dev environments. | 17.2K | +48% |
Lando automates local DevOps with Dockerized stacks, standardizing dev environments. | |||
4 | Roadie Roadie accelerates DevOps with managed Backstage portals, templates, and service catalogs | 122.8K | +35% |
Roadie accelerates DevOps with managed Backstage portals, templates, and service catalogs | |||
5 | TestFlight TestFlight streamlines iOS app beta distribution and integrates feedback into CI/CD workflows | 13.0K | +22% |
TestFlight streamlines iOS app beta distribution and integrates feedback into CI/CD workflows |
AI is likely to replace jobs that do not require human elements such as empathy or creativity (such as a therapist or an artist). However, commercial AI adoption and job displacement will not happen as fast as many believe. Most people won't notice a change for at least 2-3 years, with a major economic shift happing over the next decade. This means you have time to adapt, ideally learning to use AI to your advantage in order to remain productive.
Most models learn patterns from data rather than "understanding" like humans. For example, AI has learned that when it sees: "Think outside the..." it will have learned to predict the next word to be "box". As technology advances, and more data centers are built, AI will continuously improve on its pattern recognition skills.
You can trust AI answers like you trust a human's answers — with the understanding that even humans with the best intentions can be wrong sometimes. However, as AI technology advances, these mistakes will become less frequent, eventually to the point of near perfection.
Your data is stored on the server of whichever company's product you are using, unless you are running an open-source AI model on your personal computer. "Safe" can be an objective term, depending how much you trust that company to protect your data.
Not yet, but most experts agree that AGI is only a matter of time. Some believe AGI, a term used to mark the moment in which artificial intelligence surpasses human intelligence, will be achieved in as few as 2-3 years, while other say 5-10 years.
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