AWS Migration Using DMS Series Part-2

This is in continuation of earlier blog on AWS DMS where we shall Configure Ongoing Replication from RDS to Redshift. Later we shall see some wonderful DMS features.

Lets start:

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AWS Migration Using DMS Series Part-1

In this fast moving Tech world, everyone wants to use best technology with max performance and minimum cost. AWS Cloud was introduced with the same notion. In 2016, AWS introduced its tool DMS (Database Migration Service) to help customers migrate their Databases to AWS.

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Creating a Kubernetes cluster on AWS EKS

Jenkins X : An opinionated cloud native CI/CD tool (series blog-1)

In this blog we will create a Kubernetes cluster in AWS with minimal steps. No to little knowledge of AWS is required to follow this blog.

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EC2 Auto Scaling Lifecycle hook? Not so fast…

Amazon EC2 Auto Scaling lifecycle hooks are powerful mechanisms providing the ability for your architecture to respond to Auto Scaling events. A common use case for lifecycle hooks is sending notifications to an Amazon EventBridge which in turn can invoke serverless functions. For more information, checkout this AWS tutorial located here. Event-driven functions are extremely flexible, but they are not always the optimal choice depending on the use case.

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AWS Java Lambda Cold Start

In 2020 Q4, we at Rackspace decided to move the one of our applications from on-premises to AWS Cloud using its serverless service, Lambda.

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How Rackspace uses AWS Systems Manager for instance patching across multi-cloud and hybrid environments

Now that cloud technology has become ubiquitous, companies have many options for hosting servers and building out solutions. From the use of multiple cloud providers to bare metal devices to private cloud, or even to on-premises resources, Rackspace engages with customers across a diverse portfolio of providers. The customer’s structure can stem from a business need (for example, an interest in diversifying their cloud presence). Or it might be due to the early stage of their migration to a cloud environment. The customer might be waiting for their on-premises contracts to end. No matter the reason, customers commonly ask the same question: How can we consolidate our patching across multiple cloud platforms and hybrid and on-premises environments?

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Cloud-native development: Challenges and solutions

We are excited to announce enhanced full-lifecycle cloud-native development Professional Services capabilities to better help our customers build modern applications for the future.

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Rackspace Government Cloud Secure Configuration Baseline launches on the AWS Marketplace

We designed the Rackspace Government Cloud Secure Configuration Baseline (RGCSCB) to support government cloud workloads, delivered to the customer as an Amazon® Machine Image (AMI).

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A brief overview of AWS DBMS services

Amazon® Web Services® (AWS®) provides database (DB) services in both Database-as-a-Service (DBaaS) and Platform-as-a-Service (PaaS) models for both relational and non-relational databases.

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Machine learning: Accelerating your model deployment—Part one

The value of data is tremendous, and any business model requires data to drive decisions and make projections for future growth and performance. Business analytics has traditionally been reactive, guiding decisions in response to past performance. Leading companies have begun to use machine learning (ML) and artificial intelligence (AI) to learn from this data and harness it for predictive analytics. This shift, however, comes with significant challenges.

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