InnovationM

SEPTEMBER 5, 2024

Microservices architecture is a modern approach to building and deploying applications. Spring Boot, a popular framework for Java development, provides powerful tools to simplify the implementation of microservices. Let’s explore the key concepts and benefits of microservices architecture and how Spring Boot facilitates this approach.

Microservices 52

Microservices Architecture Load Balancer Software Review 52

Daniel Bryant

SEPTEMBER 16, 2022

Take the API gateway use case as an example, there are two key personas involved: the platform engineers, who want to set appropriate guardrails to minimize incidents and maximize their security posture, and the developers, who want to release services and functionality rapidly and configure API endpoints dynamically.

Load Balancer 95

Load Balancer Cloud Continuous Delivery Microservices 95

Gorilla Logic

FEBRUARY 15, 2019

In this developer tutorial, we are going to understand the basic concepts of microservices, in what ways microservice architectures are better than monolithic ones, and how we can implement a microservice architecture using Spring Boot and Spring Cloud. What are Microservices? Characteristics of Microservices.

Microservices 53

Microservices Cloud Authentication Development 53

James Shore

MAY 31, 2021

Your network gateways and load balancers. There’s no Kubernetes, no Docker, no microservices, no autoscaling, not even any cloud. Microservices and Monoliths. Microservices are the most common reason I see for complex system architectures. That careful modularity will always break down, microservice proponents say.

System Architecture 94

System Architecture Architecture Systems Review System 94

Honeycomb

NOVEMBER 25, 2024

With over 100 microservices and extensive third-party dependencies—such as live game data feeds or partner content ingestion—a single failure in an upstream service often triggered a cascade of alerts across multiple systems. For example, OneFootball now uses Honeycomb to help automate canary deployments through Argo CD and Argo Rollouts.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59

Openxcell

JUNE 9, 2023

Recently, Microservices have been mainly favored to fixate on these dilemmas. As the title implies, Microservices are about developing software applications by breaking them into smaller parts known as ‘services’. In this blog, let’s explore how to unlock Microservices in Node.js What are Microservices ? microservices?

Microservices 52

Microservices Software Review How To Systems Review 52

O'Reilly Media - Ideas

SEPTEMBER 9, 2019

Kubernetes allows DevOps teams to automate container provisioning, networking, load balancing, security, and scaling across a cluster, says Sébastien Goasguen in his Kubernetes Fundamentals training course. Containers became a solution for addressing these issues and for deploying applications in a distributed manner. Efficiency.

Load Balancer 67

Load Balancer Microservices DevOps Infrastructure 67

Altexsoft

MAY 29, 2020

With pluggable support for load balancing, tracing, health checking, and authentication, gPRC is well-suited for connecting microservices. Their massive microservices systems require internal communication to be clear while arranged in short messages. Customer-specific APIs for internal microservices. Command API.

Architecture 142

Architecture Microservices Systems Review Weak Development Team 142

Modus Create

JULY 28, 2020

To do that, developers need to integrate microservices. Microservices. There are many different approaches that software architects can apply when working with microservices. The answer is pretty simple: having multiple instances of each component and load balancing them. But what happens with our database?

Microservices 40

Microservices Load Balancer Applications Tools 40

Coveros

AUGUST 31, 2021

Are you trying to shift from a monolithic system to a widely distributed, scalable, and highly available microservices architecture? ” Here’s how our teams assembled Kubernetes, Docker, Helm, and Jenkins to help produce secure, reliable, and highly available microservices. The Microservices Design Challenge.

Microservices 52

Microservices DevOps How To Weak Development Team 52

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Mobilunity

DECEMBER 26, 2024

Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. This could entail decomposing monolithic applications into microservices or employing serverless technologies to improve scalability, performance, and resilience. Want to hire qualified devs? How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

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 67

AWS Resources Lambda Serverless 67

Daniel Bryant

NOVEMBER 26, 2019

Deploy an additional k8s gateway, extend the existing gateway, or deploy a comprehensive self-service edge stack Refactoring applications into a microservice-style architecture package within containers and deployed into Kubernetes brings several new challenges for the edge.

Strategy 52

Strategy Load Balancer Microservices Architecture 52

CircleCI

OCTOBER 20, 2020

Starting with a collection of Docker containers, Kubernetes can control resource allocation and traffic management for cloud applications and microservices. It is tempting to think that only microservices orchestrated via Kubernetes can scale — you’ll read a lot of this on the internet.

Microservices 69

Microservices Technical Review Load Balancer Azure 69

Altexsoft

AUGUST 31, 2021

Microservices and API gateways. It’s also an architectural pattern, which was initially created to support microservices. 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.

Microservices 64

Microservices Serverless How To Load Balancer 64

OTS Solutions

JUNE 9, 2023

Examples of Enterprise Applications Enterprise applications refer to software programs designed to cater to the specific needs of businesses and organizations. Scalability and Performance Needs Scalability and performance are critical factors in ensuring that the application can handle large amounts of traffic and user load.

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Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

Examples of Enterprise Applications Enterprise applications refer to software programs designed to cater to the specific needs of businesses and organizations. Scalability and Performance Needs Scalability and performance are critical factors in ensuring that the application can handle large amounts of traffic and user load.

Enterprise 130

Enterprise Applications Development Scalability 130

Honeycomb

NOVEMBER 17, 2023

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Our Query Assistant , for example, allows engineers to query their systems in plain English.

Metrics 126

Metrics Software Review Analysis Technical Review 126

CircleCI

MARCH 22, 2021

This is where using the microservice approach becomes valuable: you can split your application into multiple dedicated services, which are then Dockerized and deployed into a Kubernetes cluster. In the deployment phase, you can still run regression tests — for example, to verify performance in a stress test. Automate first.

Applications 59

Applications Load Balancer Software Review Storage 59

Altexsoft

MARCH 25, 2021

Which is especially valuable when working with microservices. You might notice that many of these conditions apply to one specific use case — microservices. After all, there’s a great reason Netflix , Lyft , WePay , and more companies operating with microservices have transitioned to gRPC. Microservices with gRPC.

Microservices 75

Microservices Weak Development Team Comparison Load Balancer 75

Modus Create

JUNE 7, 2022

The infrastructure is procured and provisioned for peak application load; however, it is underutilized most of the time. By modernizing applications to a microservices architecture, components are smaller and loosely coupled, making them easier to deploy, test, and scale independently.

Applications 75

Applications Technical Review Enterprise Microservices 75

Palo Alto Networks

DECEMBER 19, 2019

A service mesh is a transparent software infrastructure layer designed to improve networking between microservices. It provides useful capabilities such as load balancing, traceability, encryption and more. For example, one of Envoy’s features is the ability to reject HTTP requests by filtering the hostname header.

Load Balancer 13

Load Balancer Microservices Policies Open Source 13

Kentik

APRIL 3, 2023

For example, developers often write programs in C or Rust compiled with clang, which is part of the LLVM toolchain, into usable bytecode. This is a simple example, but eBPF bytecode can perform much more complex operations. Typically, eBPF programs are written to bytecode using some other language.

Programming 110

Programming Network Load Balancer Linux 110

Kentik

FEBRUARY 20, 2023

For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake. This might include caches, load balancers, service meshes, SD-WANs, or any other cloud networking component. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Confluent

OCTOBER 10, 2019

Example: Audi. Example: E.ON. Example: Target. Example: Severstal. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Examples are S7, PROFINET, Modbus, or an automated dispatch system (ADS). No wonder technical know-how is not evenly distributed in both realms.

IoT 20

IoT Internet Weak Development Team Scalability 20

Daniel Bryant

JULY 18, 2018

Learnings from stories of building the Envoy Proxy The concept of a “ service mesh ” is getting a lot of traction within the microservice and container ecosystems. There was also limited visibility into infrastructure components such as hosted load balancers, caches and network topologies. It’s a lot of pain.

SOA 40

SOA Load Balancer Microservices Open Source 40

Daniel Bryant

NOVEMBER 21, 2019

KUBERNETES AND THE EDGE Deploy an additional k8s gateway, extend the existing gateway, or deploy a comprehensive self-service edge stack Refactoring applications into a microservice-style architecture package within containers and deployed into Kubernetes brings several new challenges for the edge.

Strategy 40

Strategy Load Balancer Microservices Architecture 40

Exadel

MARCH 10, 2020

It is also important to detect when services are not available (for example when a service is compulsorily terminated or health checking isn’t operational). The main benefit of Consul, as opposed to microservices architecture, is that microservices architecture is quite complex. The Big Takeaway.

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Daniel Bryant

SEPTEMBER 13, 2018

Learnings from stories of building the Envoy Proxy The concept of a “ service mesh ” is getting a lot of traction within the microservice and container ecosystems. There was also limited visibility into infrastructure components such as hosted load balancers, caches and network topologies. It’s a lot of pain.

SOA 40

SOA Load Balancer Microservices Open Source 40

Kentik

MARCH 6, 2019

As the complexity of microservice applications continues to grow, it’s becoming extremely difficult to track and manage interactions between services. The data plane basically touches every data packet in the system to make sure things like service discovery, health checking, routing, load balancing, and authentication/authorization work.

Network 63

Network Microservices .Net Load Balancer 63

CircleCI

APRIL 28, 2021

Another example of a workaround is using jobs to trigger pipeline runs via the API that set pipeline parameters. I will be using this code repo and code as examples in this post. After forking or importing the example, add the project to CircleCI and enable dynamic config using setup workflows.

Linux 90

Linux Testing Load Balancer Examples 90

Blue Sentry

MAY 17, 2021

For example, oil and gas companies can use machine learning to create safety platforms that identify worker stress levels, equipment health, and proximity to dangerous areas. For example, we help companies launch incredible ML workloads on AWS. You have a machine learning use case. It’s a nightmare.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

Modus Create

JANUARY 28, 2022

For example, when using EC2, you can have multiple Docker tasks and containers running on that single instance. Load balancer (EC2 feature) . The Elastic load balancing will help distribute all the incoming traffic between the running tasks. Go to Load Balancers > Target Groups > Create target group.

Load Balancer 45

Load Balancer Applications AWS Software Review 45

Perficient

JULY 20, 2023

Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. Microservices and Containerization: Refactoring monolithic applications into microservices and deploying them using containerization (e.g.,

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

CircleCI

JANUARY 24, 2022

For example, developers can use observability to determine when an application performance issue occurs and pinpoint specific areas of code or instances where it happens. For example, if a microservice is not behaving as expected, having visibility into its underlying metrics allows for a quick diagnosis and a fix for the problem.

Software Development 52

Software Development Software Development Metrics 52

CircleCI

MARCH 30, 2021

Organizations that need to run microservices, application servers, databases, and other workloads in a cost-effective way will continue to turn to the Arm architecture. Before you can get started with this tutorial, you need to complete a number of tasks: Git clone this arm-executors example repo GitHub. Prerequisites. version: 2.1

Resources 83

Resources AWS Architecture Testing 83