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🔖Devlog 9 Implementing history state into Surveybuddy. In our previous update, we implemented undo and redo functionality in the survey builder to help users correct mistakes. However, users sometimes need to revert multiple changes, which isn't practical with just undo and redo options. To address this, we've added a history tab, allowing users to navigate back and forth through as many changes as needed. To manage the complex objects representing the survey builder's state changes, we implemented a queue that stores the byte representation of each history state (a versionInstance). Given our goal of enhancing interoperability and collaboration in future updates, we need to ensure that the versionInstance data structure is clean, conflict-free, and easily mergeable. During this process, I discovered a concept called CRDTs (Conflict-Free Replicated Data Types). CRDTs allow for conflict-free data systems across different clients, enabling seamless merging into a central store, (similar to how Git functions). The plan is to leverage CRDTs to develop an engine for team collaboration using WebSockets in the future.

We dropped Infinitic Version 0.13.0 recently some exciting new features AND a few performance improvements: 👇 Introducing CloudEvents (Beta) One of the most significant additions in this release is the introduction of CloudEvents. Infinitic now exposes its events in the CloudEvents JSON format, allowing users to build their own dashboards, logs, or even add hooks to specific events. Delegated Tasks Infinitic 0.13.0 introduces the concept of "delegated tasks," addressing scenarios where tasks cannot be processed directly by a worker and instead require invoking an external system. Performance Improvements We've added several performance improvements to enhance the efficiency of your data operations: - Sortable UUIDs: Infinitic now uses UUID version 7, which includes a timestamp, expected to enhance performance when used as primary keys in databases. - Idempotency Keys: The taskId can now be reliably used as an idempotent key, as Infinitic will generate the same value for taskId even if the task creation process is duplicated. - Optimized Workflow Initiation: The topics architecture has been optimized, allowing the first task to be processed immediately upon dispatch, substantially reducing the "time to first execution" during surges in workflows launch. - Worker Graceful Shutdown: Workers now attempt to complete any ongoing executions before shutting down, with a configurable grace period, ensuring less duplicated messages during shutdown. - Quicker Worker Start: Upon startup, workers now verify and set up the necessary resources (tenant, namespace, topics) in parallel, significantly reducing startup time, especially in scenarios with a large number of tasks or workflows. Read the full release : https://lnkd.in/ezuFRx5C

Master dashboard-level filtering for engineering data insights with Keypup: 🔍 Refine data, 📋 Simplify configuration, 👥 Boost collaboration. Uncover pro-level insights for software success. #DataManagement #Engineering #Productivity https://lnkd.in/e-wgpytZ

I was bored building APIs until this application hit my plate. 5 lessons I learned from building a Data-Driven application. The Request: Build an application to help customers visualize their data. It has to be fast and follow our design guidelines. 1. Enterprise Data platforms are expensive; look around. The obvious solution was to look for a platform to connect to the data and build some visualizations. I looked at some enterprise solutions, and GOD, they cost an arm and a leg. I needed a plan B, so I took a deep dive into the open-source pool. (This pays off 90% of the time) I found two main options: Taipy and Streamlit.  2. Data Integration doesn’t need to be painful. One of the first real headaches was trying to get all sorts of data to play nice together. There was no unified view. The data live across different formats and Systems. That was when I discovered Taipy’s data dashboards. Now, I can bring together data from different sources: - Databases - APIs - Real-time feeds Also, Data Dashboards serve to simplify and make complex data visually attractive. 3. Staring at numbers is not enough. Users want to ask "what if" and watch the data come alive with answers. I need to develop something interactive that can provide quick responses. Again, Taipy provided more out-of-the-box features for creating interactive GUIs without sacrificing simplicity. 4. Your users deserve nothing less than the best UI. Taipy's capability to build responsive and interactive graphical GUI was a game-changer. Streamlit renders all the graphical components again when a user interacts. But, when the user interacts with a visual element, Taipy triggers callbacks based on the action or change in the GUI. This was a decision maker; check how smooth the transition is on the image.  5. Users want data, but only if it is fast. No matter how fun your spinner animation is, nobody wants to spend time looking at it. As the platform grew, so did the concern about its scalability. Taipy's scalable architecture allowed me to manage the growing demands of the platform. The open-source community came through, and I can’t sing Taipy’s praises enough for making my job much easier. Give them a star here: https://lnkd.in/eYsaZGEr And start today by typing: $ pip install taipy Big thanks to Taipy for supporting this post.

GraphQL is a powerful query language for APIs that allows clients to request only the data they need. When considering systems with GraphQL, it is essential to follow best practices to ensure efficient and maintainable API development. One key best practice is to design a clear and intuitive schema that accurately represents the data model of the application. By defining types, queries, and mutations thoughtfully, developers can create a consistent and easy-to-understand API structure. Another important practice is to limit the depth of nested queries to prevent over-fetching of data, improving performance. Additionally, implementing proper caching strategies and using tools like DataLoader can help optimize data fetching and reduce unnecessary round trips to the server. Lastly, providing thorough documentation for the API endpoints and fields is crucial for helping developers understand how to interact with the API effectively. By adhering to these best practices, developers can leverage the full potential of GraphQL to create robust and efficient APIs. I have found that during implementation one or other aspects of the same get overlooked and that causes unnecessary complexity later on. And overall ROI remains underachieved.

As log data volumes grow, a streamlined and centralized approach is needed. Enter #telemetry pipelines: enabling logs as a product approach. Learn all about how this approach offers actionable insights and cost savings in our blog. https://okt.to/uBX48v #observability #cloudnative

G2 Product Information Extraction Email us: info@datascrapingservices.com https://lnkd.in/g2wwSSti G2 Product Information Extraction is a service provided by Datascrapingservices.com that allows businesses to extract relevant information from G2, a popular software review platform. With this service, businesses can gather valuable insights about various products, such as features, pricing, ratings, and reviews. The extraction process is carried out efficiently and accurately, ensuring that businesses obtain high-quality data. By utilizing G2 Product Information Extraction, businesses can make informed decisions, analyze market trends, and gain a competitive edge. Website: Datascrapingservices.com #G2ProductInformationExtraction #G2ProductDataScraping #ecommercedatascraping #datamining #dataanalytics #webscraping #datascraping #webscrapingexpert #webcrawler #webscraper #datamining #dataentry #emaillistscraping #emaildatabase #datascrapingservices

Data Protocol Platform or Data Protocol Productions, which is right for you? The Data Protocol Platform is uniquely positioned to deliver better support while unlocking meaningful insights. No matter the size or nature of your business, Data Protocol can help you optimize and scale your developer support. We’ll host and manage that content on your dedicated, branded channel. And because your developers login to use those resources, their activity and feedback is fully attributable. ˚˚˚˚˚˚˚˚˚˚ When it comes to supporting your developers, dynamic video beats static dev docs every time. But we know that done well… video can be incredibly expensive to produce, and time-consuming to create. And when you’re driving adoption, conversion, and growth… you can’t afford to cut corners. Data Protocol Productions is the answer to that challenge. Use these videos to speak directly to your developer community. Nest them into your dev docs to explain a new featureset. Embed them into your developer dashboard to deliver platform requirements with empathy. This is a fast, easy way to level up your communication strategy without taking time away from mission-critical initiatives.

Did you know? Companies leveraging web scraping tools see a 15% boost in operational efficiency and 20% improvement in data-driven decision-making. Here are 11 key features enterprises should prioritize when selecting a web scraping tool. Empower your business with the right tool to: - Extract valuable market trends and competitor insights - Optimize product offerings and pricing strategies - Make smarter choices with data-driven decision making Visit our page for more data-driven insights: https://bit.ly/3R1Z4eT #webscraping #bigdata #datadriven #businessintelligence #competitiveintelligence #datamanagement #datascience