DEV.to VS InfluxData
Compare DEV.to VS InfluxData and see what are their differences
Limey: Connect smarter with QR codes, links, sites, and digital business cards in one place.
sponsored
DEV.to
WordPress
Medium
Hashnode
Ghost
Drupal
GitHub
Stack Overflow
InfluxData
Prometheus
TimescaleDB
MapR Converged Data Platform
Google Cloud Dataproc
Amazon EMR
ElasticSearch
SingleStore
DEV.to InfluxDataAs a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to seems to be a lot more popular than InfluxData. While we know about 674 links to DEV.to, we've tracked only 2 mentions of InfluxData. 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.
On DEV (powered by the open-source Forem codebase), we have a hybrid architecture that blends Rails server rendering, Fastly edge caching, and lightweight client-side navigation (via InstantClick). This setup delivers sub-100ms page transitions, but partial page swaps combined with aggressive edge caching create delicate deployment challenges. - Source: dev.to / 4 days ago
Parts 4 and 5 showed the flagship's auth and its live grid. This one is about reuse: the app is built almost entirely from packaged components, and this is how you'd build yours. - Source: dev.to / 7 days ago
Per-syscall interception is the layer that closes this gap. Grith sits between the agent process and the kernel, scoring every operation before it executes - not what the agent claims to be doing, but what it actually does. The process census, the credential file opens, the MCP initialisation, the network connections: all of it is visible, all of it is scored, and any of it can be blocked by policy without... - Source: dev.to / 7 days ago
Plinkie is built by Business Data Solutions, a Dutch consulting and training firm that helps organisations put their data to work. This system was built by one person in ten days, runs in two fully separate Google Cloud projects, and costs under $2 per night to operate. The infrastructure is OpenTofu, the services are Python 3.13, and the site is Next.js. - Source: dev.to / 7 days ago
Path("/users/{userId}")( supports( GET, pathParameters = pLong, summary = "Get user by ID" )( onRequest(pathParameters = 1L) .respondsWithUser .assert { ctx => ctx.performRequest(routes).body.id shouldBe 1L }, onRequest(pathParameters = 999L) .respondsWithErrorResponse .assert { ctx => ctx.performRequest(routes)... - Source: dev.to / 10 days ago
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 4 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: almost 5 years ago
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Prometheus - An open-source systems monitoring and alerting toolkit.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
Hashnode - A friendly and inclusive Q&A network for coders
MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.