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Based on our record, Grafana seems to be a lot more popular than Google Cloud Load Balancing. While we know about 201 links to Grafana, we've tracked only 10 mentions of Google Cloud Load Balancing. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
However, the raw data from Eyer might be difficult for non-technical individuals or teams to understand. This is where Grafana comes in. As a powerful visualization tool, Grafana transforms this data into clear and insightful dashboards, making it accessible to everyone who needs it. - Source: dev.to / 11 days ago
Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks. - Source: dev.to / 28 days ago
In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana. - Source: dev.to / about 1 month ago
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / about 2 months ago
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / 4 months ago
Unfortunately, the API we created is not suitable for anything but the most basic prototyping. For a real API, we will likely want to use our own domain. This appears to be quite complicated in GCP. We will need a Load Balancer, a serverless NEG and an API Gateway among some other components. See Getting started with HTTP(S) Load Balancing for API Gateway and HTTP(S) Load Balancing for API Gateway. - Source: dev.to / over 1 year ago
Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 1 year ago
In this article, I’ll show you how to configure a global cloud load balancer that serves as both a proxy and a load balancer. This type of load balancer comes with a single IP address that can be accessed from any location on earth and can route a request to the nearest (active!) application instance. - Source: dev.to / over 1 year ago
Cloud Load Balancing for distribution. - Source: dev.to / almost 2 years ago
While the precise features of the application are immaterial, the architecture is of primary importance. A lot of tools (and buzzwords) come to mind when trying to architect a modern web application. Assets can be served from a CDN to improve page load speed. A global load balancer can front all traffic, sending requests to the nearest server. Serverless functions and edge functions can be used to handle requests,... - Source: dev.to / about 2 years ago
Prometheus - An open-source systems monitoring and alerting toolkit.
nginx - A high performance free open source web server powering busiest sites on the Internet.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.