Hypergrid

JANUARY 21, 2019

Each cloud service provider has a set of native management tools that address issues that cloud practitioners report are the most common challenges they face on the cloud (especially as they begin to scale). As a simple example, consider an application running on an EC2 instance that needs to access an object in S3.

AWS 40

AWS Tools Lambda Disaster Recovery 40

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 51

AWS Resources Lambda Serverless 51

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 80

Agile Development Data Serverless 80

AWS Machine Learning - AI

APRIL 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Artificial Inteligence 103

Artificial Inteligence Lambda Generative AI Knowledge Base 103

Modus Create

AUGUST 17, 2022

In this post, we’ll share popular strategies for reducing your AWS cost without affecting application performance. . Native Tools to Monitor and Regulate Consumption. AWS provides a few native tools that can help you gather cost data and system metrics to identify cost-related inefficiencies in your setup: AWS Cost Explorer.

AWS 52

AWS Serverless Load Balancer Lambda 52

Honeycomb

MAY 23, 2022

The AWS Application Load Balancer (ALB) then naturally sent a sample of our production workload to the pods scheduled on C7g family instances, allowing us to test and validate with a more realistic workload than we used for the earlier November dogfood tests. We’re also very heavy users of AWS Lambda for our storage engine.

AWS 88

AWS Lambda Architecture Testing 88

ParkMyCloud

FEBRUARY 25, 2020

Get Familiar with the Cloud-Native Management Tools. The major public cloud providers offer native resource and cost management tools. For example, on the issue of resource on/off scheduling, AWS, Azure, and Google Cloud each offer a tool. Here is a quick rundown of each of those tools and what they include.

Cloud 58

Cloud Lambda AWS Azure 58

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. It’s time to publish our functions and make them accessible to other applications or users. Then, access the UI tool at [link]. Deploying a Function. What Else is There?

Serverless 12

Serverless Cloud Software Review Azure 12

Openxcell

MAY 12, 2023

: An overview A cloud service platform offered by Amazon, known as AWS or Amazon Web Services, provides users with a range of services, including computation, storage, analytics, databases, networking, mobile, developer tools, management tools, and IoT. The market for cloud computing is dominated by AWS ever since.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Honeycomb

JUNE 1, 2023

In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io Simple and direct The most basic connection is where an application sends its trace data directly to Honeycomb. The metrics are periodically emitted from applications that don’t contribute to traces, such as a database.

Load Balancer 110

Load Balancer Metrics Network Cloud 110

CircleCI

OCTOBER 20, 2020

In fact, developers and DevOps teams might feel like their application development pipeline is hopelessly outdated if they aren’t using Kubernetes. Kubernetes is an orchestration tool for containerized applications. As such, it simplifies many aspects of running a service-oriented application infrastructure.

Microservices 69

Microservices Technical Review Load Balancer Azure 69

Altexsoft

AUGUST 31, 2021

Over the next two decades, Application Programming Interfaces became the mortar between the building blocks of the web, providing the connection and sharing that the Internet itself was created for. Previously, applications were mainly built using the monolith approach — all software components were interconnected.

Microservices 64

Microservices Serverless Load Balancer How To 64

LaunchDarkly

SEPTEMBER 20, 2019

Datadog, if you don’t know it, is like a SAS offering to do infrastructure and application monitoring for engineers. Our tools provide a surprisingly deep level of insight, into your applications for your engineers. Our tools provide a surprisingly deep level of insight, into your applications for your engineers.

Engineering 9

Engineering Weak Development Team Development Team Review Testing 9

CircleCI

JULY 24, 2019

Implementing CI/CD and DevOps practices enables these teams to better leverage modern tools to build, test, and deploy their software with high confidence and consistentency. This orb defines and deploys an application to a Google Kubernetes Engine (GKE) cluster. apply ( lambda args : generate_k8_config ( * args )). Assumptions.

Software Review 88

Software Review Infrastructure Google Cloud Cloud 88

Xicom

JUNE 18, 2020

With the growing trend of digitization, applications are quickly taking over the world by storm. With that in mind, businesses are rapidly investing in an application by keeping their primary focus on the functional features and UI design of the app. Next, you will get some users for your application! What is App Scalability?

SOA 52

SOA AWS How To Technical Advisors 52

Bernd Rucker

AUGUST 18, 2017

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”. Kubernetes does all the dirty details about machines, resilience, auto-scaling, load-balancing and so on. The client now does client side load balancing.

Serverless 40

Serverless Cloud Azure AWS 40