DEV.to
WordPress
Medium
Hashnode
Ghost
Drupal
GitHub
Stack Overflow
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
As 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 Google Cloud Dataflow. While we know about 674 links to DEV.to, we've tracked only 14 mentions of Google Cloud Dataflow. 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
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / over 4 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.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Hashnode - A friendly and inclusive Q&A network for coders
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.