Kubernetes on Google Cloud Platform - GCP GKE

Computing Anywhere, Anytime: The Magic of Containerization and Microservices

Globally, businesses across industry verticals are focused on enhancing their business services reliability, accelerate innovation at lower TCO, provide customer experience with greater application dependency, and increase their developer-and-operations velocity. However, many of these businesses probably do not know or not completely aware of how it can be achieved. Infrastructure and application modernization are the key factors which could deliver the potential benefits such as consistent deployments, standardization of the environment, achieve control and compliance, allow businesses to bring new products/services to market faster. Cloud-native approach enables rapid application development, integrates with the CI/CD tooling to speed up the build-to-deploy lifecycle.

93% of Enterprises witnessed at least 1 security incident in their Kubernetes environments in last 12 months

Over 60% agree that Kubernetes boosts efficiency and productivity for IT operators and developers

5.6 million developers globally use Kubernetes

GKE transforms the app development and deployment processes as it helps deploy, manage, and scale up containerized applications. With GKE’s inherent capabilities powered by Cloud4C’s managed services, seamlessly deploy, manage, and scale Kubernetes clusters to run containerized applications on the cloud with utmost ease. Achieve end-to-end automation of enterprise application lifecycles unlocking greater performance agility, architectural flexibility, innovative outcomes, and uninterrupted workow continuity. Transform and transfer enterprise IT computing needs and asset functionalities to anywhere, anytime.

The Fundamentals of Google Kubernetes Engine (GKE)

Hybrid Networking

It reserves IP addresses for your cluster and allows the cluster IP addresses to coexist through the Cloud VPN of Google.

Cluster Options

The clusters can be customized to the version stability, pod traffic, availability, and isolation needs of the workloads.

Auto Repair

If a node has a health check failure, GKE begins that node’s repair process.

Auto Upgrade

It automatically keeps the cluster up-to-date with every latest Kubernetes version release

A Glimpse: How the Industry is Modernizing on GKE

Kubernetes acts as a middleware

It places between the applications and the infrastructure. It enables the operators and developers to focus on managing the applications by abstracting the underlying virtual and physical resources

1400+ companies using this technology

More than 1400 contributors like Red Hat, Google and Microsoft are a part of this list. Recently, Alibaba and Amazon have also become a few of the biggest companies to use this technology

Easy way to scale the large workloads

You don’t need to worry about the performance issue or underlying infrastructure with it. To accomplish this, the nodes destroy, which then recreate whenever it’s necessary

Segment to enterprise data

Earlier it was considered to be the choice of web-scale companies, but just within the starting three years, it made it to the segment of enterprise data

Kubernetes itself contains an automatic load balancing system

Based on the services, Kubernetes itself contains an automatic load balancing system to balance the load. An ingress controller is also present that supports the balancing of load by DNS path and name

Users of Google Kubernetes Engine (GKE)

22% of users of Google Kubernetes Engine (GKE) are small businesses (with less than 50 workers), 36% are medium-sized businesses, and 39% are large businesses (with more than 1000 employees).

The Precise Challenges that GKE Helps Enterprises Master

Challenges

Advanced Threat Analytics

Security is one of Kubernetes' greatest challenges because of its complexity and vulnerability. If not properly monitored, it can obstruct identifying vulnerabilities

1. Accelerate App Development Without Compromising Security The development process automatically becomes faster with continuous integration and continuous deployment tools. The use of Kubernetes-native CI/CD tools helps secure and accelerate every stage of the create-and-deploy life cycle.

Traditional networking approaches are not very compatible with Kubernetes. As a result, the challenges you face continue to grow with the scale of your deployment. Some problem areas include complexity and multi-tenancy.

2. Release Channels for Streamlining Operations With GKE, you can select a release channel that best suits your business requirements. It provides faster and stable channels having the option of node upgrades. Moreover, you can get the support levels lined up with channel nature.

As with networking, interoperability can be a significant Kubernetes issue. When enabling interoperable cloud-native apps on Kubernetes, communication between the apps can be a bit tricky

3. Google Site Reliability Engineers for Monitoring Clusters With Google SREs, you can look at your cluster, storage resources, and computing networks. It has built-in integrations for troubleshooting incidents quickly.

Storage is an issue with Kubernetes for larger organizations, especially organizations with on-premises servers. One of the reasons is that they manage their entire storage infrastructure without relying on cloud resources. This can lead to vulnerabilities and memory crises.

4. Access Several Storage Options There are many storage options in GKE that you can use throughout the development life cycle. The options differ in ease of utilization and flexibility. GKE has storage abstractions used for providing storage to clusters.

Going a Step Beyond: Intelligent Managed Google Kubernetes Services by Cloud4C

Cloud4C implements the CI/CD pipelines using Cloud Build to deploy the containers on target Google Kubernetes Engine (GKE) cluster(s).

Cloud4C implements the SLO (Service Level Objectives) for the microservices architecture based applications that run on GKE and configures the SLO metrics to create Observability Dashboards.

Cloud4C monitors the health status of services using Google Cloud Monitoring metrics and platform as well as application log management with Cloud Logging.

Cloud4C implements binary authorization for trusted container deployment where the successful kritis-signer based signature validation results in deployment of containers on the GKE clusters

Cloud4C also creates a break-glass policy for handling exception of any Binary authorization blocked containers

Cloud4C configures the Anthos service mesh for GKE clusters to monitor, secure and control the traffic flow between the microservices that run on GKE clusters

Cloud4C implements MTLS certificate issuance at scale using the Mesh CA (Certificate Authority) and integrates the Identity-Aware Proxy (IAP) to access the microservices based on Google’s BeyondCorp principles of zero-trust model

Cloud4C implements standards and best practices, tooling, Service Level Indicators (SLI), set Service Level Objectives (SLO) and track the error budgets to mitigate risks for the microservices that run on GKE/Anthos clusters

Snippets: Why Should Businesses Opt for Cloud4C’s Managed GKE Offerings

In-depth Kubernetes Platform Assessment and Blueprinting.

Infrastructure Optimization and production-grade MVP.

Advanced Kubernetes Training and Upskilling workshops.

Customized Kubernetes Deployment with Integrated Automation

Key Features integration: Workload Portability, IAM, Clustering, Policy Management, Auto-healing, Integrated Load Balancing, Clean UI-UX.

Dedicated Kubernetes Cost Optimization Exercises.

Kubernetes Benchmarking adhering to industry best practices

Comprehensive Kubernetes Risk Audits and Smart Security Integration.

Key Differentiators: Partner with Cloud4C to Transform your Enterprise IT Game

World’s largest Application-focused, high-end managed services provider with AIOps-driven Managed Cloud Operations and presence in 26 nations

Cloud4C performs distributed tracing of applications using Cloud Trace that collects latency data from applications and, uses Cloud Profiler to analyze application performance.

By leveraging in-house SRE practice and, the Google Cloud Platform native tools and services, Cloud4C helps businesses in their digital transformation and move towards modernization

Zero Friction Cloud Migration Model with industry-leading Cloud Adoption Factory approach, 25000+ Apps, and Databases migrated, 1 Billion+ Fail-safe Hosting Hours administering 40000+ VMs