Merge pull request #2141 from hpe-dev-incubator/cms/blog/hpe-greenlake-for-private-cloud-enterprise-scaling-and-orchestrating-modern-applications-for-the-enterprise

choukden · web-flow · commit b5af3678a7b3 · 2023-10-24T13:36:49.000+02:00
Update Blog “hpe-greenlake-for-private-cloud-enterprise-scaling-and-orchestrating-modern-applications-for-the-enterprise”
diff --git a/content/blog/hpe-greenlake-for-private-cloud-enterprise-scaling-and-orchestrating-modern-applications-for-the-enterprise.md b/content/blog/hpe-greenlake-for-private-cloud-enterprise-scaling-and-orchestrating-modern-applications-for-the-enterprise.md
@@ -1,19 +1,27 @@
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 title: "HPE GreenLake for Private Cloud Enterprise: Scaling and orchestrating
-  modern applications for the enterprise."
+  modern applications for the enterprise"
 date: 2023-10-19T14:34:37.983Z
 author: Sudheendra Seshachala
 authorimage: https://media.licdn.com/dms/image/D5603AQGMJCplt_LTFQ/profile-displayphoto-shrink_800_800/0/1695127848528?e=1703116800&v=beta&t=4gbr2tD1-sH5-mhFh6O05iibw3B0UMHnL-1CPVF_2uU
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   - hpe-greenlake-for-private-cloud-enterprise
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 In my blog post on [HPE GreenLake for Private Cloud Enterprise: Deploying and scaling traditional applications](https://developer.hpe.com/blog/hpe-greenlake-for-private-cloud-enterprise-glpce-deploying-and-scaling-traditional-applications/), I highlighted how HPE GreenLake for Private Cloud Enterprise seamlessly integrates traditional applications with modern demands, transforming infrastructure into programmable code for optimal flexibility and security. Its strategic approach to scalability ensures businesses consistently operate at their best, making applications resilient to ever-changing requirements. 
 In this post, I'll delve into the features and capabilities of HPE GreenLake for Private Cloud Enterprise, with a specific focus on its support for scaling containers using Kubernetes (K8s). Let's explore the advancements and offerings of the HPE GreenLake for Private Cloud Enterprise platform.
 
 # **Introduction**
 
-In today’s rapidly evolving digital landscape, it's imperative for enterprises to have agile and secure solutions that can effortlessly adapt to emerging trends. HPE GreenLake for Private Cloud Enterprise for Containers ("containers service") offers a robust solution tailored to meet these specific demands. Containers service efficiently adjusts resources based on changing workloads, ensuring optimal use. This flexibility eliminates unexpected costs, allowing businesses to pay only for the resources they use. A unified dashboard makes this process even more transparent and manageable. 
+In today’s rapidly evolving digital landscape, it's imperative for enterprises to have agile and secure solutions that can effortlessly adapt to emerging trends. HPE GreenLake for Private Cloud Enterprise: Containers ("containers service") offers a robust solution tailored to meet these specific demands. Containers service efficiently adjusts resources based on changing workloads, ensuring optimal use. This flexibility eliminates unexpected costs, allowing businesses to pay only for the resources they use. A unified dashboard makes this process even more transparent and manageable. 
 
 HPE GreenLake for Private Cloud Enterprise enables seamless integration between on-premises infrastructure and cloud platforms. This capability ensures that, as workloads move or scale between these environments, the performance remains consistent, providing a dependable experience for users. It's not just about meeting current needs; it's about anticipating the future. By aligning with the latest standards and supporting innovative architectural trends, HPE GreenLake for Private Cloud Enterprise positions businesses at the cutting edge of technology. In essence, containers service is a harmonious blend of traditional and modern needs, paving a clear path for businesses to move confidently into the future with unmatched agility and security.
 
@@ -32,9 +40,9 @@ HPE GreenLake for Private Cloud Enterprise provides Kubernetes deployment via it
 
 Containers service stands out by delivering the security, efficiency, and cost-effectiveness modern businesses seek, maximizing resource use. In tandem with Kubernetes, containers service provides a smooth and managed infrastructure. Enhanced by HPE Ezmeral Runtime Enterprise, it gives businesses a refined platform for deploying applications, ensuring scalability, and streamlined operations.
 
-**Under the hood – A fungible infrastructure resource pool**
+**Under the hood – A fungible infrastructure resource pool**    
 As discussed in [Part 1](https://developer.hpe.com/blog/hpe-greenlake-for-private-cloud-enterprise--Exploring-a-flexible-infrastructure-resource-pool/) of this blog series, HPE GreenLake for Private Cloud Enterprise integrates an adaptable infrastructure that leverages the strengths of its infrastructure resource pool and detailed capacity planning. This approach not only addresses present business requirements but also anticipates future needs. Within HPE GreenLake for Private Cloud Enterprise, the resource pool offers flexibility, letting businesses choose container deployments on bare metal, virtual machines, or a combination of both, based on their specific demands. 
-Diving into the heart of HPE GreenLake for Private Cloud Enterprise: Containers , we encounter two primary deployment models for Kubernetes: on virtual machines and on bare metal.
+Diving into the heart of HPE GreenLake for Private Cloud Enterprise: Containers, we encounter two primary deployment models for Kubernetes: on virtual machines and on bare metal.
 
 Kubernetes on bare metal:
 
@@ -70,8 +78,7 @@ In screenshot 2 , I created a cluster. I selected configurations and resources,
 
 **Scaling worker nodes in containers service**: With containers service, you can scale worker nodes based on workload. You just increase or decrease the number of worker nodes in a running cluster to align with resource requirements.
 
-**Autoscaler in Kubernetes clusters**
-The Autoscaler adjusts the Kubernetes cluster's size based on specific conditions. It scales up when pods can't be scheduled due to resource limitations and scales down if nodes are underutilized for over 10 minutes.
+**Autoscaler in Kubernetes clusters**: The Autoscaler adjusts the Kubernetes cluster's size based on specific conditions. It scales up when pods can't be scheduled due to resource limitations and scales down if nodes are underutilized for over 10 minutes.
 
 **Key points:**
 
@@ -81,10 +88,11 @@ The Autoscaler adjusts the Kubernetes cluster's size based on specific condition
 
 1. Pending pods due to limited resources trigger a scale-up.
 2. Underutilized nodes for 10 minutes prompt a scale-down, but certain conditions can prevent this:
-   •	Recent scale-up within 10 minutes
-   •	Failed scale-down in the last 3 minutes
-   •	Nodes with critical pods or those facing specific constraints
-3. Autoscaler operates from the control plane, checking conditions every minute.
+   * Recent scale-up within 10 minutes
+   * Failed scale-down in the last 3 minutes
+   * Nodes with critical pods or those facing specific constraints
+3. Autoscaler operates from the control plane, checking conditions every minute.   
+
 
    ![Screenshot 3: Scale cluster](/img/screenshot-3-scale-cluster.png "Screenshot 3: Scale cluster")
 
@@ -97,9 +105,10 @@ The Autoscaler adjusts the Kubernetes cluster's size based on specific condition
 5. Optionally, add or remove node pools.
 6. To see the autoscaler logs, utilize the given kubectl command.
 
-**Conclusion – The perfect synergy**
-HPE GreenLake for Private Cloud Enterprise, in conjunction with Kubernetes, addresses a broad spectrum of enterprise applications. Whether dealing with brownfield applications that have evolved over time or greenfield applications that are freshly developed, this combination ensures seamless integration and deployment. 
-HPE GreenLake for Private Cloud Enterprise, in conjunction with Kubernetes, addresses a broad spectrum of enterprise applications. Whether dealing with brownfield applications that have evolved over time or greenfield applications that are freshly developed, this combination ensures seamless integration and deployment. 
-HPE GreenLake for Private Cloud Enterprise, in conjunction with Kubernetes, addresses a broad spectrum of enterprise applications. Whether dealing with brownfield applications that have evolved over time or greenfield applications that are freshly developed, this combination ensures seamless integration and deployment. 
+**Conclusion – The perfect synergy**    
+HPE GreenLake for Private Cloud Enterprise, in conjunction with Kubernetes, addresses a broad spectrum of enterprise applications. Whether dealing with brownfield applications that have evolved over time or greenfield applications that are freshly developed, this combination ensures seamless integration and deployment.     
+
+HPE GreenLake for Private Cloud Enterprise, in conjunction with Kubernetes, addresses a broad spectrum of enterprise applications. Whether dealing with brownfield applications that have evolved over time or greenfield applications that are freshly developed, this combination ensures seamless integration and deployment.    
+
 Containers service’s ability to scale resources up or down based on workload demands ensures that businesses can respond effectively to varying operational requirements. 
 Additionally, the integrated framework provides a secure stack, reinforcing infrastructure integrity, governance, compliance, and application security. In essence, the union of HPE GreenLake for Private Cloud Enterprise and Kubernetes provides a comprehensive solution that caters to both existing and new enterprise applications, fostering a flexible, responsive, and secure environment.
