Category: Advanced (300)

Large-scale distributed software systems in the cloud are composed of several individual sub-systems—such as CDNs, load balancers, web servers, application servers and databases—as well as their interactions. The interactions sometimes have unpredictable outcomes caused by unforeseen events (for example, a network failure, instance failure, etc.). These events can lead to system-wide failures of your critical […]

This blog post was contributed by Kanishk Mahajan@AWS; Hashem Raslan, Manager, Engineering@McAfee; Anastasia Zamyshlyaeva, Vice President, Data Engineering@McAfee McAfee, a global leader in online protection security enables home users and businesses to stay ahead of fileless attacks, viruses, malware, and other online threats. McAfee wanted to create a centralized data platform as a single source […]

Managing the deployment of containers in a multi-tenant environment presents a number of new challenges for many of my customers. Some organizations have explored building and managing their own Kubernetes container orchestration environment, but the management challenges lead them to evaluate Amazon Elastic Kubernetes Service (Amazon EKS). Particularly, Independent Software Vendors (ISVs) are using a […]

Apache Spark is an open-source lightning-fast cluster computing framework built for distributed data processing. With the combination of Cloud, Spark delivers high performance for both batch and real-time data processing at a petabyte scale. Spark on Kubernetes is supported from Spark 2.3 onwards, and it gained a lot of traction among enterprises for high performance and […]

I introduced the fundamental concepts of service control policies (SCPs) in the previous post. We discussed what SCPs are, why you should create SCPs, the two approaches you can use to implement SCPs, and how to iterate and improve SCPs as your workload and business needs change. In this post, I will discuss how you […]

Each AWS account enables cellular design – it provides a natural isolation of AWS resources, security, partitions access, and establishes billing boundaries. Separation of concern through multi-account setup is a key design principle that customers use to experiment, innovate, and scale quickly on AWS. The basis of a multi-account AWS environment is AWS Organizations, which […]

Customers who deployed AWS Control Tower in their existing organization will begin enrolling existing member accounts located under Organization Units (OU) to bring those accounts under the governance of Control Tower. In most cases, the customer has already enabled AWS Config to record, and evaluate AWS resource configurations in existing accounts. Previously, customers who would want […]

Customers will often start using various AWS services through a single AWS account. As customers continue their AWS journey, they increase the number and diversity of workloads operating on AWS. Furthermore, as the number of users grows, managing this account becomes difficult and time consuming. Then, customers create more accounts for multiple users. This helps […]

Many of our customers manage multiple AWS accounts in AWS Organizations and utilize Service Control Policies (SCPs) to centrally manage permissions in their organization. SCPs offer central control over the maximum available permissions for every account in your organization and can be applied to an account, organization units (OUs), or the organization as a whole […]

When you migrate mainframe applications to the cloud, you will usually have to migrate mainframe job schedules too. In this post, I’ll show you how to migrate mainframe CA7 job schedules to a cloud native job scheduler in AWS, how to trigger off event-based jobs, how to run streaming jobs, how to migrate CA7 database, […]