Managing Distributed Applications in Kubernetes Using Cilium and Istio with Helm and Operator for Deployment

1

Prometheus

This observability is a huge advantage because it allows you to also instrument on the monitoring side to build out powerful metrics reporting with tools that can tightly integrate with Prometheus. Once you do this, you can get metric data on the connectivity between all of your pods and applications and determine where there may be latency as well as what policy is potentially being impacted.

#Monitoring Tools #Performance Monitoring #Log Management 224 social mentions

2

Kubernetes

In our recent post on The New Stack, we showed you how you can leverage Kubernetes (K8s) and Apache CassandraTM to manage distributed applications at scale, with thousands of nodes across both on-premises and in the cloud. In that example, we used K8ssandra and Google Cloud Platform (GCP) to illustrate some of the challenges you might expect to encounter as you grow into a multi-cloud environment, upgrade to another K8s version, or begin working with different distributions and complimentary tooling. In this post, we’ll explore a few alternative approaches to using K8s to help you more easily manage distributed applications.

#Developer Tools #DevOps Tools #Containers As A Service 279 social mentions

3

Istio

Using a container network interface (Cilium) and service mesh (Istio) on top of your K8s infrastructure to more easily manage your distributed applications.

#Developer Tools #Web And Application Servers #Web Servers 45 social mentions

4

Helm.sh

So one example here is Helm. If you’re using Helm, you’re going to have a release per cluster, which means you’re going to have to maintain and manage to switch between those various contacts and make sure you’re upgrading the right way. And in case things go sideways, you’ll also need to know how to stage a change or roll back a change before you switch over and do operations in the other cluster or the other region. And when you go beyond two regions, there’s even a bit more complexity.

#Developer Tools #DevOps Tools #Cloud Hosting 133 social mentions

5

Google Cloud Platform

In our recent post on The New Stack, we showed you how you can leverage Kubernetes (K8s) and Apache CassandraTM to manage distributed applications at scale, with thousands of nodes across both on-premises and in the cloud. In that example, we used K8ssandra and Google Cloud Platform (GCP) to illustrate some of the challenges you might expect to encounter as you grow into a multi-cloud environment, upgrade to another K8s version, or begin working with different distributions and complimentary tooling. In this post, we’ll explore a few alternative approaches to using K8s to help you more easily manage distributed applications.

#Cloud Computing #Backend As A Service #Cloud Infrastructure 167 social mentions

6

Cilium

Using a container network interface (Cilium) and service mesh (Istio) on top of your K8s infrastructure to more easily manage your distributed applications.

#Monitoring Tools #Log Management #DCIM Software 15 social mentions

7

Apache Cassandra

In our recent post on The New Stack, we showed you how you can leverage Kubernetes (K8s) and Apache CassandraTM to manage distributed applications at scale, with thousands of nodes across both on-premises and in the cloud. In that example, we used K8ssandra and Google Cloud Platform (GCP) to illustrate some of the challenges you might expect to encounter as you grow into a multi-cloud environment, upgrade to another K8s version, or begin working with different distributions and complimentary tooling. In this post, we’ll explore a few alternative approaches to using K8s to help you more easily manage distributed applications.

#Databases #NoSQL Databases #Relational Databases 40 social mentions