Tag: Amazon EKS
Every SaaS architecture must introduce mechanisms and policies that prevent noisy neighbor conditions. Getting these policies right is essential to building a robust SaaS solution that delivers a consistent experience to customers. This post looks at the different strategies that can be used to introduce the throttles (transaction rate) and quotas (transaction volume) that manage each tenant’s activity, exploring the various AWS services that can be used to bring these concepts to life.
From exciting announcements to insightful sessions, this post recaps what you may have missed at VMware Explore US 2022. This year, we marked the fifth year of the jointly-engineered VMware Cloud on AWS solution. Since announcing our strategic partnership in 2016, followed by the general availability of this unique managed offering at VMworld 2017, the VMware Cloud on AWS solution has evolved and continues to help customers globally migrate and modernize their VMware workloads to the cloud.
To stay ahead in a highly competitive market, FinTechs face multiple challenges, especially around maintaining development agility, operational excellence, and a strong security posture. This post explores how the ChaosSearch data platform combines the industry-leading scalability, data availability, security, and performance provided by Amazon S3 with revolutionary technology to help FinTechs address critical pain points and overcome core operational challenges.
AWS provides a secure, reliable, and scalable environment for customers to run their container workloads. Customers running containers on premises are looking to move to AWS to gain agility benefits and reduce technical debt of managing their own infrastructure. Learn how Tech Mahindra transitioned a customer from an on-premises self-managed Kubernetes environment to a managed Amazon EKS platform with centralized self-service deployment options using AWS Service Catalog.
Today, many organizations trust Amazon Web Services (AWS) to host their business’s applications and infrastructure. As they continue to innovate, their applications and environments become increasingly complex. This post explores how AWS customers can leverage Gremlin to improve the resiliency and reliability of their applications. Learn how to apply chaos engineering principles to your Amazon EKS environment to increase uptime, reduce incidents, and build more resilient applications, systems, and services.
Armory recently launched its Continuous Deployment-as-a-Service solution which delivers the ability to declaratively automate your entire deployment process across multiple environments so that development teams can focus on writing great code rather than deploying it. Learn how the AWS SaaS Factory team supported Armory during the design of the solution through deep-dive workshops and sessions that helped accelerate the delivery of the SaaS product.
Amazon EKS and Calico Cloud’s combined solution provides proof of security compliance to meet organizational regulatory requirements, but building and running cloud-native applications in EKS requires communication with other AWS and external third-party services. Learn how you can apply zero-trust workload access controls along with microsegmentation for workloads on EKS, and explore what implementing zero-trust workload access controls and identity-aware microsegmentation means for you.
A successful digital transformation stands on a strong foundation of effective application modernization. Wipro has made sustained investments to ease cloud adoption and cloud excellence journeys for customers, and Wipro Cloud Studio on AWS brings together the discovery, assessment, migration, modernization, and transformation suite of capabilities. It’s a suite of tools and processes presented in an integrated control center user interface, all aimed at accelerating a customer’s cloud adoption journey.
Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS.
Legacy technologies such as COBOL, IDMS, Natural, Adabas, Assembler, IMS, and EGL, as well as their rapidly vanishing expertise, are becoming the number one burden for many mainframe customers. Learn how Astadia can help customers quickly and safely move entire mainframe applications to AWS. Astadia works with clients to modernize their IT investments to accelerate time to value, increase productivity, decrease risk, and optimize costs.