AWS X-Ray VS Apache Cassandra

AWS X-Ray Reviews

Apache Cassandra Reviews

AWS X-Ray mentions (21)

• Refactoring a serverless application to use Step Functions third-party API call integration

  I also send some annotations and subsegments to X-Ray that makes it easy to identify bottlenecks and Lambda cold starts. - Source: dev.to / 5 months ago

• Building a Serverless AI Content Detector

  In my eventual use case, this is minor since it'll be run asynchronously, and can take as long as it generally pleases. But that's not as great for our synchronous demo API. So it's time to enable AWS X-Ray to run the distributed tracing over the whole thing. - Source: dev.to / 10 months ago

• How do i keep track for each of the step on the entire process

  I've not used AWS' offering but I believe that this is what you can use https://aws.amazon.com/xray/. Source: 12 months ago

• Top 9 Commercial Distributed Tracing Tools

  AWS X-Ray is the first tracing-specific platform on this list. X-Ray focuses on troubleshooting and debugging use cases enabled by distributed tracing, such as identifying latency bottlenecks or diagnosing the root cause of unusual behavior, particularly in microservices/serverless architectures. - Source: dev.to / about 1 year ago

• Trace-based testing cloud-native apps with AWS X-Ray and Tracetest

  AWS X-Ray is a distributed tracing system included in the AWS cloud platform, that enables developers to monitor, analyze, and debug distributed applications running on AWS infrastructure. It provides information on how an application is performing and allows developers to identify and resolve performance issues quickly. X-Ray traces requests as they travel through an application, providing a comprehensive view of... - Source: dev.to / about 1 year ago

Apache Cassandra mentions (40)

• Understanding SQL vs. NoSQL Databases: A Beginner's Guide

  On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 20 days ago

• How to choose the right type of database

  HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 2 months ago

• Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.

  Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 7 months ago

• How to Choose the Right Document-Oriented NoSQL Database for Your Application

  NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago

• NoSQL Databases vs Graph Databases: Which one should you use?

  To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / about 1 year ago