Hadoop
Apache Spark
Apache Cassandra
Apache Flink
PostgreSQL
MongoDB
Apache Storm
Apache Kafka
Raygun
Sentry.io
Rollbar
Datadog
BugSnag
AirBrake
NewRelic
Logentries
Hadoop RaygunBased on our record, Hadoop should be more popular than Raygun. It has been mentiond 15 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.
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing. - Source: dev.to / over 1 year ago
Raygun is a cloud-based platform that makes sure your web and mobile applications are free of errors, as well as your users are satisfied. It specializes in JavaScript error monitoring and offers a wide range of features to help you easily detect and fix issues. - Source: dev.to / 4 months ago
We can make the process a little easier by using our agile processes together with a continuous deployment strategy. For example, our friends at Raygun, discovered that “when a team gets locked into a sprint it can become much harder to recognize and fix bugs”. - Source: dev.to / 8 months ago
Regarding your last question, when I mention sub-processors who we don't have an SCC with I'm thinking about vendors like RayGun. It's a system we use to monitor alerts and warnings coming from our app when in the hands of our end-users. We have configured the tool so we get absolutely no personal information - no names, emails, id's or any of that sort. It's nothing more than technical data dumps from the inner... Source: over 1 year ago
Error logging and monitoring are crucial for any application, Appwrite being no exception. We wanted to make it extremely easy to collect and monitor your logs while staying true to our philosophy of being completely platform agnostic. With Appwrite 0.12, we've introduced support for some amazing open source logging providers like Sentry, Raygun and AppSignal! - Source: dev.to / over 2 years ago
We have RayGun for logging/reporting on the client-side of the apps. They are showing nothing interesting from those devices. They seem to fail silently. Source: almost 3 years ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.