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Thundra

Stacks13

Followers17

+ 1

Votes6

Vector

Stacks22

Followers53

+ 1

Votes0

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Thundra vs Vector: What are the differences?

Thundra: AWS Lambda Observability for Java, Go and Node.js. Thundra helps answer your toughest questions about the health of your Serverless infrastructure by giving you invaluable insights into your AWS Lambda functions; Vector: On-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser, by Netflix. Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

Thundra and Vector can be categorized as "Performance Monitoring" tools.

Vector is an open source tool with 3.17K GitHub stars and 230 GitHub forks. Here's a link to Vector's open source repository on GitHub.

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Pros of Thundra

Pros of Vector

4
Provides the most detailed monitoring of any other tool
2
Serverless monitoring

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505

35.3K

- No public GitHub repository available -

3.6K

253

What is Thundra?

By eliminating the need for multiple tools in pre-production. Thundra provides observability into the CI process, helps optimize build duration, enables more frequent deployments, higher development productivity, and lower CI costs.

What is Vector?

Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

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Jobs that mention Thundra and Vector as a desired skillset

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Senior Engineering Manager, Data Engineering

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Engineering Manager, Identity & Access Management

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What companies use Thundra?

What companies use Vector?

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What are some alternatives to Thundra and Vector?

IOpipe

Develop faster with realtime errors, metrics, logs, and profiling. Operate with confidence with monitoring and tracing for AWS Lambda based Serverless applications.

Dashbird

Dashbird gives full visibility into serverless architectures. Failure detection, monitoring and debugging capabilities for AWS Lambda and event sources. Get up and running in 5 minutes without any performance overhead or code changes.

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

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Thundra vs Vector

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Pros of Thundra

Pros of Vector

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What is Thundra?

What is Vector?

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What companies use Thundra?

What companies use Vector?

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What tools integrate with Thundra?

What tools integrate with Vector?

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