
AWS Cost Explorer
Amazon CloudWatch
AWS Budgets
Azure Cost Management
Nutanix Beam
Turbonomic
Site24x7
CloudZero
HttpMaster
Hoppscotch
API Fortress
Postman
Assertible
Request inspector
SoapSonar
CurlHub.io
Core HttpMaster features are: * HttpMaster project to store complete definition of API calls in one single place. * Broad set of http properties. * Dynamic parameters to simulate variations of input data or create global API values. * Response data validation with logical expressions. * Request chaining to use data from previous request with the next request. * Extensive data upload support, including 'multipart/form-data'. * Request data builder for creating request body with an optional dynamic parameters. * Request item execution with detailed progress monitoring. * Execution groups to create batches of requests. * Comprehensive execution data review and management. * Additional tools (basic request tool for ad-hoc execution, command line interface, OpenAPI import, etc).
AWS Cost Explorer
HttpMasterHttpMaster is well-suited for developers, QA engineers, and testers who need to perform end-to-end testing of web APIs. It's particularly beneficial for those who require a versatile testing solution with both automated and manual testing features. It's also ideal for teams that need to validate the functionality, performance, and security of their web apps through an intuitive platform.
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HttpMaster's answer:
Developers and testers.
HttpMaster's answer:
HttpMaster's answer:
Performance, simple UI, resource friendly.
HttpMaster's answer:
Microsoft .NET.
Based on our record, AWS Cost Explorer seems to be more popular. It has been mentiond 29 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.
ClearML, Weights & Biases, and cloud-native cost explorers like AWS Cost Explorer, surface per-job cost data accurately once that metadata is consistently in place. The metrics worth tracking: cost per training run, GPU usage by job, and time-to-detection for idle resources. - Source: dev.to / 3 months ago
Cost Optimisation: Right-size models, cache prompts, batch inference, monitor token usage. Context Pruning (limit RAG chunks, filter via metadata, summarise old chat history). AWS Cost Explorer and AWS Cost Anomaly Detection for tracking GenAI spend. - Source: dev.to / 3 months ago
AWS Cost Explorer with VPC resource tagging surfaces all of this before it compounds. Set it up on day one. - Source: dev.to / 4 months ago
Use AWS's native tools like Cost Explorer and Compute Optimizer to gain visibility and make informed decisions. - Source: dev.to / 12 months ago
You can monitor and estimate costs using the AWS Pricing Calculator and track actual usage in the AWS Cost Explorer. - Source: dev.to / 12 months ago
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Hoppscotch - Open source API development ecosystem
AWS Budgets - Cloud Cost Management
API Fortress - API performance, accuracy, and uptime testing. Without code.
Azure Cost Management - Monitor, allocate, and optimize cloud costs with transparency, accuracy, and efficiency using Azure Cost Management.
Postman - The Collaboration Platform for API Development