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Read more about the article DevOps Concepts: Pets vs. Cattle

DevOps Concepts: Pets vs. Cattle

  • Post author:Samir
  • Post published:September 5, 2021
  • Post category:AWS/Cloud Trends/Containers/DevOps/Kubernetes

Pets vs. cattle has become a famous analogy for server operations in the infrastructure management space. With the rise of cloud computing, businesses need to have a competitive edge with…

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Read more about the article Best Practices for Cloud Disaster Recovery in Microsoft Azure

Best Practices for Cloud Disaster Recovery in Microsoft Azure

  • Post author:Shiji
  • Post published:March 25, 2021
  • Post category:Blogs/Containers/Data/Microsoft Azure

In today’s cloud era, the ability to bounce back after downtime can make or break your business. Disaster recovery (DR) capabilities should therefore be a key consideration when choosing a…

Continue ReadingBest Practices for Cloud Disaster Recovery in Microsoft Azure
Read more about the article Can AWS ECS Battle EKS or KOPS?

Can AWS ECS Battle EKS or KOPS?

  • Post author:Samir
  • Post published:February 25, 2021
  • Post category:AWS/Blogs/Containers/Kubernetes

Containers have revolutionized the industry by making it easy to deploy applications to production. They do this by providing process separation, which makes it easy to run your applications as…

Continue ReadingCan AWS ECS Battle EKS or KOPS?
Read more about the article Automating ML Workflow with IBM’s Fabric for Deep Learning (FfDL)

Automating ML Workflow with IBM’s Fabric for Deep Learning (FfDL)

  • Post author:Kirill
  • Post published:January 21, 2021
  • Post category:AI/Blogs/Containers/Kubernetes/Machine learning

Cloud environments provide a lot of benefits for advanced ML development and training including on-demand access to CPUs/GPUs, storage, memory, networking, and security. They also enable distributed training and scalable…

Continue ReadingAutomating ML Workflow with IBM’s Fabric for Deep Learning (FfDL)
Read more about the article Scaling Keras on Kubernetes with Kubeflow

Scaling Keras on Kubernetes with Kubeflow

  • Post author:Kirill
  • Post published:January 18, 2021
  • Post category:Blogs/Containers/Kubernetes/Machine learning

Scalability is one of the major requirements for resource-intensive ML workloads and models that consist of multiple layers, billions of weights, and complex error-minimization logic. Processing client requests for complex…

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Read more about the article What Is a Service Mesh, and Why Is It Essential for Your Kubernetes Deployments?

What Is a Service Mesh, and Why Is It Essential for Your Kubernetes Deployments?

  • Post author:Raphael
  • Post published:January 7, 2021
  • Post category:Blogs/Containers/How-To/Kubernetes

Before talking about Service Meshes, I’d like to review how we got here. The first turning point was when people started adopting a different architecture that was designed for many…

Continue ReadingWhat Is a Service Mesh, and Why Is It Essential for Your Kubernetes Deployments?
Read more about the article Scaling TensorFlow Models on Kubernetes

Scaling TensorFlow Models on Kubernetes

  • Post author:Kirill
  • Post published:December 31, 2020
  • Post category:Blogs/Containers/Kubernetes/Machine learning

With the growing integration of AI/ML into applications and business processes, production-grade ML models require more scalable infrastructure and compute power for training and deployment. Modern ML algorithms train on…

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Read more about the article Choosing the Right Cloud Provider – Containers (Part II)

Choosing the Right Cloud Provider – Containers (Part II)

  • Post author:Samuel
  • Post published:December 24, 2020
  • Post category:AWS/Blogs/Cloud Trends/Containers/Docker/Google Cloud/Kubernetes/Microsoft Azure

(Don't miss Part I in this series on choosing the right cloud provider when it comes to databases.) Prior to container technology, making applications run on different environments was one…

Continue ReadingChoosing the Right Cloud Provider – Containers (Part II)
Read more about the article The 3 Pillars of System Observability: Logs, Metrics, and Tracing

The 3 Pillars of System Observability: Logs, Metrics, and Tracing

  • Post author:Samuel
  • Post published:December 15, 2020
  • Post category:Blogs/Containers/DevOps

Microservice architecture and systems have become the new model for building modern-day applications. While decoupled services are easy to scale and manage, increasing interactions between those services have created a…

Continue ReadingThe 3 Pillars of System Observability: Logs, Metrics, and Tracing
Read more about the article Showdown! Which Managed Kubernetes Orchestrator Rules?

Showdown! Which Managed Kubernetes Orchestrator Rules?

  • Post author:Bruno
  • Post published:December 3, 2020
  • Post category:Blogs/Containers/Kubernetes

The popularity of Kubernetes, or K8s, has been growing exponentially in recent years, quickly becoming the de facto platform for organizations to run and orchestrate their container workloads. An open-source…

Continue ReadingShowdown! Which Managed Kubernetes Orchestrator Rules?
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