O'Reilly Media - Ideas

APRIL 3, 2019

Spotlight on Innovation: Building Resilient Systems with Heidi Waterhouse and Chris Guzikowski , April 23. 60 Minutes to Better Product Metrics , May 9. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. Programming with Java Lambdas and Streams , May 16. Systems engineering and operations.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Netflix Tech

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda.

Testing 65

Testing Training Continuous Integration AWS 65

Modus Create

APRIL 27, 2020

Some of the business goals were impossible to meet until we migrated some of the APIs to microservices. Good examples are AWS Lambda or Cloudflare Workers. Consider managing performance metrics via open-source budgeting tools like Modus Gimbal. Use a Design System. Invest in Open Source. Bring in the tests.

Technical Review 84

Technical Review Software Review Quality Assurance Systems Review 84

Honeycomb

MARCH 24, 2022

Observability came out of microservices and cloud-native, right? On both counts—yeah, it sorta came out of microservices and cloud native, and yeah sorta, you need it with a simpler architecture (though perhaps not as desperately as you otherwise might). The need for observability grew forth from microservices and cloud native.

Microservices 59

Microservices Architecture Metrics PHP 59

Confluent

JULY 10, 2019

Each individual Streams application was deployed as a standalone microservice, and we used the Gradle Application plugin to build and deploy these services. applicationName = 'wordcount-lambda-example'. // Default artifact naming. The packaging of payloads for Oracle WMS Cloud. group = 'com.redpillanalytics'. version = '1.0.0'.

Lambda 85

Lambda Analytics Testing Groups 85

Xicom

MARCH 16, 2021

Taking AWS, as an example, you can create a serverless monolith by using a single AWS Lambda function for the back-end. What type of metric will you track? Where will you send these metrics? What kind of metric tooling will you opt for? GIve Sufficient Time For Lambda and API Gateways Configuration.

Serverless 59

Serverless Lambda Development Microservices 59

Honeycomb

NOVEMBER 6, 2018

He specializes in managing AWS services and loves to improve monitoring and observability of systems. Serverless applications are becoming more popular, thanks to AWS Lambda , Azure Functions , and other serverless platforms. We created four honeytail configs: trace, invocation, metric, and log. It was very simple to set up!

Serverless 45

Serverless Lambda AWS Metrics 45

Perficient

MARCH 13, 2023

Openshift Monitoring manages the collection and visualization of internal metrics like resource utilization, which can be leveraged to create alerts and used as the source of data for autoscaling. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics.

Serverless 83

Serverless Azure Metrics AWS 83

Modus Create

JUNE 20, 2023

You don’t have to provision servers to run apps, storage systems, or databases at any scale. All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. You can think of them as microservices but for UI. billion in value.

Trends 98

Trends Development Serverless Technical Review 98

CircleCI

MAY 27, 2022

The leading offerings are AWS Lambda , Azure Functions , and Google Cloud Functions , each with many integrations within the associated ecosystems. They are ideal for providing API endpoints or microservices. The host hardware and operating system are compartmentalized away from the guest application and operating system.

Serverless 52

Serverless Applications Technical Review Microservices 52

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. PaaS providers offered a more complete application stack, like operating systems and databases to run in the cloud and be managed by the vendor. AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

The Agile Monkey

NOVEMBER 27, 2018

With granular architectures like this there are more entities in the system so there are more entities to be protected. Managing monitoring, documentation, and system interactions can become complex?—?Serverless If we can’t get performance comparable to a microservice architecture then we’re doing something wrong (or AWS is).

Serverless 40

Serverless AWS Architecture Microservices 40

Daniel Bryant

SEPTEMBER 2, 2018

microservices, containers, orchestrators?—?require This tool provides a CLI and Docker-based replication of a production serverless environment in order to enable the efficient local development of AWS Lambda functions that use associated AWS services such as Amazon API Gateway and DynamoDB. require new developer workflow patterns.

Software Review 40

Software Review Systems Review Technical Review Cloud 40

ParkMyCloud

AUGUST 29, 2019

You enhance this solution using AWS Lambda and integrate it with Amazon Connect. ARC201 – Comparing serverless and containers – Microservices are a great way to segment your application into well-defined, self-contained units of functionality.

AWS 12

AWS How To Serverless Microservices 12

LeanEssays

JULY 14, 2019

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

O'Reilly Media - Ideas

JANUARY 25, 2021

Go has clearly established itself, particularly as a language for concurrent programming, and Rust is likely to establish itself for “system programming”: building new operating systems and tooling for cloud operations. AWS Lambda) only change the nature of the beast. Starting with Python 3.0 We can’t just get faster processors.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145