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

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 45

Serverless Lambda AWS Metrics 45

Netflix Tech

JULY 30, 2019

Netflix Conductor: A microservices orchestrator In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix. Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. As such, Conductor 2.x

Lambda 76

Lambda Weak Development Team Systems Review Metrics 76

Honeycomb

MARCH 23, 2020

This is wonderful for the larger community as it gives people a clear way to instrument their code for metrics and traces that isn’t specific to any tool or vendor. Of course the collector will also support receiving metrics and traces in the OpenTelemetry format. OpenTelemetry is a CNCF sandbox project.

Metrics 59

Metrics Lambda Microservices Infrastructure 59

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

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 62

Course Training Artificial Inteligence Machine Learning 62

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

Linux Academy

MAY 1, 2019

Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further. This client began by benchmarking how well they performed, and what they saw as their key value metrics and performance indicators. Lowering TCO Through Optimization. The results are quite compelling. With a $14.2M

AWS 60

AWS Linux Storage Lambda 60

Linux Academy

MAY 1, 2019

Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further. This client began by benchmarking how well they performed, and what they saw as their key value metrics and performance indicators. Lowering TCO Through Optimization. The results are quite compelling. With a $14.2M

AWS 60

AWS Linux Storage Lambda 60

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

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

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 67

Course Artificial Inteligence Training Google Cloud 67

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

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 75

Trends Development Serverless Technical Review 75

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

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

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

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

Mobilunity

DECEMBER 5, 2024

Tools to use: DynamoDB Auto Scaling Azure Cosmos DB Metrics Redis for caching Expert insight “Partitioning strategies and leveraging built-in caching in NoSQL databases, such as Cosmos DB or DynamoDB, are effective techniques for boosting performance while maintaining cost control.” Microservices and containers. AWS Lambda.

Cloud 52

Cloud Strategy Technical Review Database Administration 52

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

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 65

Technical Review Software Review Quality Assurance Systems Review 65

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

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 Weak Development Team Continuous Delivery 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

AWS Machine Learning - AI

FEBRUARY 5, 2025

The OfferUp user submits the new or updated listing details (title, description, image ids) to a posting microservice. The posting microservice then persists the changes using the listing writer microservice in Amazon DynamoDB. Finally, the indexer updates or inserts these listing details into Elasticsearch.

Microservices 75

Microservices Lambda Architecture Machine Learning 75

O'Reilly Media - Ideas

NOVEMBER 26, 2024

But many jobs require skills that frequently aren’t taught in traditional CS departments, such as cloud development, Kubernetes, and microservices. Topics like microservices and cloud native computing present an additional problem: salary commitments. CS departments have adapted well to AI, partly because AI originated in academia.

Education 110

Education Security Artificial Inteligence Weak Development Team 110

AWS Machine Learning - AI

JANUARY 15, 2025

Each model has different features, price points, and performance metrics, making it difficult to make a confident choice that fits their needs and budget. The app container is deployed using a cost-optimal AWS microservice-based architecture using Amazon Elastic Container Service (Amazon ECS) clusters and AWS Fargate.

Automotive 85

Automotive Artificial Inteligence AWS Technical Review 85