ParkMyCloud

MAY 7, 2019

AWS Lambda is the current leader among serverless compute implementations. Lambda handles everything by automatically scaling your application by running your code as it’s triggered. Microservices-based architectures, with small chunks of code working together. In brief, here is how they approach serverless computing.

Serverless 58

Serverless Lambda Google Cloud Azure 58

O'Reilly Media - Ideas

MAY 1, 2019

60 Minutes to Better Product Metrics , July 10. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28. Deploying Container-Based Microservices on AWS , June 10-11. Designing Serverless Architecture with AWS Lambda , June 11-12. Microservices Caching Strategies , June 17. Core Agile , July 10.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. MicroService Applications In Kubernetes.

Linux 60

Linux Course Cloud Google Cloud 60

Stacks on Stacks

DECEMBER 11, 2020

Goal of balancing safety and speed is used throughout examples, geared toward microservices but perfectly applicable to server-based deployments. Once the code is deployed, you use an auto-rollback metrics monitoring strategy to determine whether the change is working nicely for customers. It’s now available to stream on-demand.

Serverless 52

Serverless AWS Metrics Microservices 52

O'Reilly Media - Ideas

APRIL 3, 2019

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. Microservices Caching Strategies , May 17. Having Difficult Conversations , May 6. Unlock Your Potential , May 7. Business Fundamentals , May 10.

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. Invest in Open Source. Bring in the tests. Ensure access to customer feedback.

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 57

Microservices Architecture Metrics Lambda 57

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

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 87

Lambda Analytics Testing Groups 87

Honeycomb

NOVEMBER 6, 2018

Serverless applications are becoming more popular, thanks to AWS Lambda , Azure Functions , and other serverless platforms. The black box nature of AWS Lambda and other serverless environments means that identifying and fixing performance issues is difficult and time-consuming. Or, maybe it’s composed of microservices and/or functions.

Serverless 44

Serverless Lambda AWS Metrics 44

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

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. Now, product development teams can use these key results as their guiding metrics and ensure their day-to-day work aligns with them.

Trends 98

Trends Development Serverless Technical Review 98

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. AWS Lambda. The service launched in 2016 to compete with AWS Lambda. But, every provider has its own calculation tool: S3 calculator by AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

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. Most cloud providers offer serverless functions, which they may refer to as functions as a service (FaaS). What are containers?

Serverless 52

Serverless Applications Technical Review Microservices 52

TIBCO - Connected Intelligence

MAY 19, 2021

When applications are composed using containerized microservices or serverless functions, teams of developers can each own and evolve an individual unit of functionality at the same time. This includes tools to manage and automate application deployment, service registry and discovery, tracing and debugging, and metrics collection.

Architecture 26

Architecture Applications Cloud Microservices 26

The Agile Monkey

NOVEMBER 27, 2018

A “Traditional” Microservice Architecture for a Catalog It wasn’t that long ago that we were talking about decomposing monoliths into microservices (in fact we still are!). If we can’t get performance comparable to a microservice architecture then we’re doing something wrong (or AWS is). Monitoring/Metrics/Alerting?—?CloudWatch

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

CloudGeometry

FEBRUARY 7, 2022

Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. On the other hand, the cost profile, access patterns, and agility of another microservice may necessitate using a Pool model. The tenants can then access compute resources (Lambda or Azure Functions, etc.)

Architecture 130

Architecture Policies Resources Construction 130

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

Customer-focused metrics were used to guide a team’s performance, and teams were expected to work both autonomously and asynchronously to improve customer outcomes. Based on the answer to these questions, Amazon introduced a service called Lambda in 2014 that responds to events quickly and inexpensively.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

O'Reilly Media - Ideas

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Starting with Python 3.0 FaaS, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145