Load Balancer Metrics Microservices Scalability 
Dzone - DevOps
MARCH 18, 2024
Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.
Dzone - DevOps
APRIL 21, 2023
Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues. Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security.
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Daniel Bryant
SEPTEMBER 16, 2022
Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” You want to maximize your deployment frequency while minimizing the other metrics.
Perficient
JULY 20, 2023
It offers unparalleled scalability, flexibility, and cost-effectiveness. Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. Docker) allows for better resource utilization.
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. It is a network solution for Kubernetes and is described as simple, scalable and secure. A Getting-Started Guide for Cloud-native Service Communication. Envoy) alongside.
Confluent
FEBRUARY 13, 2019
Do I need to use a microservices framework? Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous. It is very simple but presents scalability challenges.
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. When moving to more distributed architectures, such as microservices, you will end up with some caching instances regardless. Automate first.
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