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Apache Kafka
Apache Storm
Apache Spark
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Kafka Streams
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Gitmore represents a thoughtful approach to democratizing Git repository intelligence, successfully addressing the common challenge of extracting actionable insights from complex development activities. The platformโs combination of AI-powered analysis, cross-platform compatibility, and business-friendly reporting creates compelling value for teams seeking to improve visibility into development progress without investing in comprehensive engineering analytics platforms.
Gitmore.io might be a bit more popular than Kafka Streams. We know about 22 links to it since March 2021 and only 15 links to Kafka Streams. 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.
Kafka Streams is a lightweight Java library that runs inside your application, processing events as they flow through Kafka topics. More importantly, it allows us to maintain state locally. - Source: dev.to / 4 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / over 2 years ago
Weโre not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, itโs out of the scope of this article. - Source: dev.to / over 3 years ago
In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. Weโll discuss these at the end of the series. - Source: dev.to / over 3 years ago
Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 3 years ago
Every commit has a message. Every PR has a title and description. The status update already exists. It's just locked in GitHub. Who this is for: - Founders updating investors - PMs writing release notes - CEOs who want visibility without standups - Anyone who asks "what shipped?" and waits for an engineer to respond What it does: Connect your repos. Ask questions: - "What shipped this month?" - "Who... - Source: Hacker News / 7 months ago
Gitmore (https://gitmore.io) โ natural language queries across GitHub, GitLab, and Bitbucket. Instead of filtering PRs, scanning commit logs, or asking engineers for updates: - "What shipped last week?" - "Who's been working on the API?" - "Which PRs have been open longest?" - "Summarize this month's releases" Plain English in, plain English out. How it works: Connect your repos via OAuth. We register... - Source: Hacker News / 7 months ago
If you're a founder who doesn't code, you probably rely on engineers to tell you what's shipping. That works until investors ask for updates, customers want a changelog, or you just need to know where things stand. What it does: Connect your repos. Ask questions: "What shipped last week?" "What's in progress?" "Who worked on what?" Get plain English answers from your commit history. Automated reports: Schedule... - Source: Hacker News / 7 months ago
Gitmore (https://gitmore.io) One feature I built that's been useful: a Slack bot that queries your Git history. Connect your repos. Add the bot to Slack. Ask:. - Source: Hacker News / 7 months ago
- 2FA support GitHub, GitLab, Bitbucket โ one dashboard. Free for 1 repo: https://gitmore.io How do you currently handle investor questions about engineering progress? - Source: Hacker News / 7 months ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.