Xebia

AUGUST 29, 2023

This resembles a familiar concept from Elastic Load Balancing. A target group can refer to Instances, IP addresses, a Lambda function or an Application Load Balancer. For example, there would be no cross-VPC SSH or RDP traffic. To connect a service to target workloads, you use the concept of Target Groups.

AWS 130

AWS Load Balancer Microservices Lambda 130

Xebia

DECEMBER 21, 2022

This post explores a proof-of-concept (PoC) written in Terraform , where one region is provisioned with a basic auto-scaled and load-balanced HTTP * basic service, and another recovery region is configured to serve as a plan B by using different strategies recommended by AWS. Pilot Light strategy diagram. Strategies.

Disaster Recovery 130

Disaster Recovery AWS Strategy Backup 130

O'Reilly Media - Ideas

DECEMBER 21, 2018

AWS System Administration — Federico Lucifredi and Mike Ryan show developers and system administrators how to configure and manage AWS services, including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Continue reading 10 top AWS resources on O’Reilly’s online learning platform.

AWS 69

AWS Resources Lambda Serverless 69

Honeycomb

MARCH 26, 2025

We use them at Honeycomb to get statistics on load balancers and RDS instances. Heres a query looking at Lambda invocations and concurrent executions by function names. Queries like this allow us to see trends in our AWS Lambda usage over time: However, CloudWatch metrics filtering capabilities are pretty limited.

Metrics 52

Metrics Load Balancer Lambda AWS 52

Honeycomb

MAY 18, 2022

The example below uses an AWS account, ALB/ELB, S3, and a Lambda to send log data to Honeycomb. For this setup, we are going to use an Application Load Balancer (ALB). Once that is created, we need to make sure our S3 bucket is associated with our Lambda. A Honeycomb API key ( create a free account ) .

Software Review 97

Software Review Lambda AWS Load Balancer 97

Linux Academy

AUGUST 13, 2019

For example, if you are on a team selling AWS services or solutions, you should have a general understanding of what the cloud is, what AWS is specifically, and it’s limitations, without in-depth ability to use it. Key services on the AWS platform and their common use cases (for example, compute and analytics). CloudTrail.

AWS 16

AWS Cloud Study Lambda 16

Prisma Clud

JUNE 6, 2024

In this blog post, we'll examine the question of public access, focusing on the main offerings of the three leading cloud providers — AWS Lambda, Azure Functions and GCP Cloud Functions. AWS Cheat Sheet: Is my Lambda exposed? Security Considerations for AWS Lambda Functions AWS’ main serverless offering is Lambda functions.

Serverless 59

Serverless Cloud Data Azure 59

ParkMyCloud

FEBRUARY 25, 2020

For example, on the issue of resource on/off scheduling, AWS, Azure, and Google Cloud each offer a tool. Another example is the AWS Compute Optimizer – a big name in promise, and certainly worth reviewing for AWS users. Plus, you can now use savings plans to save up to 17% on Lambda workloads, per an announcement last week. .

Cloud 58

Cloud Lambda AWS Azure 58

CircleCI

OCTOBER 20, 2020

For instance, you can scale a monolith by deploying multiple instances with a load balancer that supports affinity flags. When other parts of your application become a bottleneck — for example, the database — you may scale those, too. Kuberntes excels at running and scaling pods of related service and microservice containers.

Microservices 69

Microservices Technical Review Load Balancer Azure 69

Perficient

DECEMBER 13, 2023

Regulatory Compliance Obligations Healthcare must comply with various laws and regulations, for example, HIPPA, which makes it essential that the systems, vendors, and processes managing the sensitive data are also compliant. Automated ETL trigger AWS EventBridge triggers the AWS Lambda based on events, which in turn initiates a job.

Healthcare 52

Healthcare AWS Data Lambda 52

Altexsoft

AUGUST 31, 2021

A tool called load balancer (which in old days was a separate hardware device) would then route all the traffic it got between different instances of an application and return the response to the client. Load balancing. For example, legacy systems still only support the SOAP protocol, or you want to benefit from gRPC.

Microservices 64

Microservices Serverless How To Load Balancer 64

CircleCI

JULY 24, 2019

The code examples in provided here will need to live in a directory within the project’s repo. apply ( lambda args : generate_k8_config ( * args )). This code also creates a Load Balancer resource that routes traffic evenly to the active Docker containers on the various compute nodes. Assumptions. Technologies used.

Software Review 88

Software Review Infrastructure Google Cloud Cloud 88

Gorilla Logic

SEPTEMBER 5, 2019

While this trend still requires servers, developers don’t need to worry about load balancing, multithreading, or any other infrastructure subject. Let’s use our second function as an example of that. $ src/test/java/com/example/fn/HelloFunctionTest.java./src/main/java/com/example/fn/HelloFunction.java.

Serverless 12

Serverless Cloud Software Review Azure 12

Openxcell

MAY 12, 2023

Examples of businesses that have successfully implemented AWS, Azure, and GCP Airline Lufthansa , gaming company Activision Blizzard, and SpaceX all use the Google Cloud platform. As you can see, due to the same free tier offer and extra price options, AWS and Azure generally have pricing that is practically the same.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Modus Create

AUGUST 17, 2022

For example, in a development environment, two “t2.medium” In the above example, we can save 20% cost by changing the generation from t2 to t3 and up to 40% cost by choosing t3a series instances. Then, you can delete these load balancers to reduce costs. medium” instances might be operating, whereas four “c4.xlarge”

AWS 40

AWS Serverless Load Balancer Lambda 40

Cloudera

MARCH 14, 2023

For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets. DataFlow Functions are supported on AWS Lambda, Azure Functions, and Google Cloud Functions.

Agile 84

Agile Development Data Serverless 84

Hypergrid

JANUARY 21, 2019

On AWS for example, cost control and security/compliance management are the two major issues that come up when operating at scale. As a simple example, consider an application running on an EC2 instance that needs to access an object in S3. Lambda – Cost Optimization. Lambda – Wasted Invocations.

AWS 40

AWS Tools Lambda Disaster Recovery 40

Hypergrid

JANUARY 21, 2019

On AWS for example, cost control and security/compliance management are the two major issues that come up when operating at scale. As a simple example, consider an application running on an EC2 instance that needs to access an object in S3. Lambda – Cost Optimization. Lambda – Wasted Invocations.

AWS 40

AWS Tools Lambda Disaster Recovery 40

Mobilunity

DECEMBER 19, 2024

Their expertise in optimizing EC2, S3, and Lambda confirms businesses particular expenses for the resources they indeed need, lowering costs while maximizing performance. So let SaaS, Retail, and Insurtech be showing examples for us to watch how tailored strategies address each industry’s distinctive challenges.

Budget 52

Budget AWS Strategy Cloud 52

Stackery

JUNE 19, 2019

AWS Lambdas don’t let you do that. If you’re still using an Elastic Compute Cloud (EC2) Virtual Machine, enjoy this very useful tutorial on load balancing. That’s what I’m using AWS Application Load Balancer (“ALB”) for, even though I have only a single instance at the moment so there’s no actual load balancing going on.

Load Balancer 45

Load Balancer AWS Applications Serverless 45

Bernd Rucker

AUGUST 18, 2017

The idea was easy: Let’s do a simple ticket booking example, where we have to do reservation and a ticket creation. Basically you say “Get me an AWS EC instance with this base image” and “get me a lambda function” and “get me this API gateway with some special configuration”. We learned a lot —but step by step. Sounds great!

Serverless 40

Serverless Cloud Azure AWS 40

AWS Machine Learning - AI

FEBRUARY 3, 2025

The user in this example has uploaded a number of videos, including some recordings of AWS re:Invent talks. The workflow consists of the following steps: A user accesses the application through an Amazon CloudFront distribution, which adds a custom header and forwards HTTPS traffic to an Elastic Load Balancing application load balancer.

Knowledge Base 83

Knowledge Base Artificial Inteligence Video UI/UX 83