Lawson  Wehner

Lawson Wehner

1615836720

Microservices With Observability on Kubernetes

A Complete Guide to deployment, logging, distributed tracing, performance, and metrics monitoring including cluster health.

Are you looking to implement observable microservices but clueless as to how to make them work with Kubernetes? Well, well… This could be the blog you have been searching for.

First, let us understand what observability is. This term originated in control system engineering and was defined as “a measure of how well internal states of a system can be inferred by knowledge of its external outputs.” In simple terms, observability means adequate insights into a system facilitating corrective action.

There are three main pillars of observability:

  • Event Logs: A record of an event that happened in the system. Events are discrete and contain metadata about the system when they occur.
  • Tracing: The system usually consists of many parts/components that work cohesively to provide certain meaningful functionality. For a particular functionality, tracing of request and response flow across distributed components is critical for effective debugging/troubleshooting.
  • Metrics: Performance of the system measured over a period of time. These indicate the service level of a system.

Now the question is, how do we get this implemented in a Kubernetes cluster for our microservices components?

Microservices - Kubernetes App

Below is an example that can act as a guide for your microservices-based production app.

Let us consider a microservice app that provides weather information for a given city.

  • Weather-front: Component that comprises frontend UI to input a city name to view the weather info. Please see the screenshot above.
  • Weather-services: Component that takes the city as an input and calls an external weather API to retrieve weather details
  • Weather-db: This component is the Maria database component where weather data, that is pulled in the background for the city being followed, is stored.

#tutorial #microservices #kubernetes #observability

What is GEEK

Buddha Community

Microservices With Observability on Kubernetes
Christa  Stehr

Christa Stehr

1602964260

50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml

Maud  Rosenbaum

Maud Rosenbaum

1601051854

Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

Lawson  Wehner

Lawson Wehner

1615836720

Microservices With Observability on Kubernetes

A Complete Guide to deployment, logging, distributed tracing, performance, and metrics monitoring including cluster health.

Are you looking to implement observable microservices but clueless as to how to make them work with Kubernetes? Well, well… This could be the blog you have been searching for.

First, let us understand what observability is. This term originated in control system engineering and was defined as “a measure of how well internal states of a system can be inferred by knowledge of its external outputs.” In simple terms, observability means adequate insights into a system facilitating corrective action.

There are three main pillars of observability:

  • Event Logs: A record of an event that happened in the system. Events are discrete and contain metadata about the system when they occur.
  • Tracing: The system usually consists of many parts/components that work cohesively to provide certain meaningful functionality. For a particular functionality, tracing of request and response flow across distributed components is critical for effective debugging/troubleshooting.
  • Metrics: Performance of the system measured over a period of time. These indicate the service level of a system.

Now the question is, how do we get this implemented in a Kubernetes cluster for our microservices components?

Microservices - Kubernetes App

Below is an example that can act as a guide for your microservices-based production app.

Let us consider a microservice app that provides weather information for a given city.

  • Weather-front: Component that comprises frontend UI to input a city name to view the weather info. Please see the screenshot above.
  • Weather-services: Component that takes the city as an input and calls an external weather API to retrieve weather details
  • Weather-db: This component is the Maria database component where weather data, that is pulled in the background for the city being followed, is stored.

#tutorial #microservices #kubernetes #observability

Kuma and Prometheus for Observability in Kubernetes Microservices Clusters

A year ago, Harry Bagdi wrote an amazingly helpful blog post (link at bottom of article) on observability for microservices. And by comparing titles, it becomes obvious that my blog post draws inspiration from his work.

When he published it, our company, Kong, was doing an amazing job at one thing: API gateways. So naturally, the blog post only featured leveraging the Prometheus monitoring stack in conjunction with Kong Gateway. But to quote Bob Dylan, “the times they are a-changin [and sometimes an API gateway is just not enough]”. So, we released Kuma (which was donated to the Cloud Native Computing Foundation as a Sandbox project in June 2020), an open source service mesh to work in conjunction with Kong Gateway.

How does this change observability for the microservices in our Kubernetes cluster? Well, let me show you.

#kubernetes #microservices #kuma #prometheus #observability #service-mesh #api-management #grafana

The Service Mesh in the Microservices World - DZone Microservices

The software industry has come a long journey and throughout this journey, Software Architecture has evolved a lot. Starting with 1-tier (Single-node), 2-tier (Client/ Server), 3-tier, and Distributed are some of the Software Architectural patterns we saw in this journey.

The Problem

The majority of software companies are moving from Monolithic architecture to Microservices architecture, and Microservices architecture is taking over the software industry day-by-day. While monolithic architecture has many benefits, it also has so many shortcomings when catering to modern software development needs. With those shortcomings of monolithic architecture, it is very difficult to meet the demand of the modern-world software requirements and as a result, microservices architecture is taking control of the software development aggressively. The Microservices architecture enables us to deploy our applications more frequently, independently, and reliably meeting modern-day software application development requirements.

#microservice architecture #istio #microservice best practices #linkerd #microservice communication #microservice design #envoy proxy #kubernetes architecture #api gateways #service mesh architecture