With one-minute website uptime check intervals, and detailed downtime reporting to any device, Uptime.com monitoring offers effortless protection. Why check website availability manually when you can enjoy always-on website uptime monitoring? Our automated alerts dramatically reduce the time it takes to check website uptime and downtime and puts more time back in your day.
Uptime.com is recommended for website administrators, IT professionals, and business owners who need to ensure their websites are running smoothly, minimize downtime, and improve end-user experiences. It is particularly useful for organizations that require robust monitoring capabilities and real-time alerts.
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Based on our record, Apache Zeppelin should be more popular than Uptime.com. It has been mentiond 9 times since March 2021. 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.
Uptime.com provides reliable uptime monitoring with features like API monitoring, transaction checks, and real-time alerts. While it doesn't offer a free plan, its robust capabilities cater to organizations requiring detailed monitoring and reporting. - Source: dev.to / about 1 month ago
In the previous article, we explored the installation of Presto. Building on that foundation, it's time to take your data exploration one step further by integrating Presto with Apache Zeppelin, a powerful web-based notebook that allows interactive data analytics. - Source: dev.to / 27 days ago
To do so, we will use Kinesis Data Analytics to run an Apache Flink application. To enhance our development experience, we will use Studio notebooks for Kinesis Data Analytics that are powered by Apache Zeppelin. - Source: dev.to / 7 months ago
Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals. - Source: dev.to / over 1 year ago
Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df). Source: about 3 years ago
I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives. https://zeppelin.apache.org/. - Source: Hacker News / over 3 years ago
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