Here’s how the Cloud Comrade sharing best practices for migrating to the cloud at the AWS Public Sector Event
As exclusively revealed by Channel Asia, the Singapore-based cloud firm – with presence also in Indonesia, Malaysia and India – will help the strategic investor capitalise on increased digital transformation adoption, specifically within the enterprise space.
AWS is the market leader in Cloud Computing. It offers high availability, reliability, efficiency, scalability, and cost-effective solutions to enterprises resulting in high productivity. Hence, we see an increase in the number of enterprises with business-critical SAP landscape systems acclimatizing private/hybrid/ public cloud solutions.
As announced, SAP will extend maintenance support for their customers until the end of 2025 for SAP Business Suite 7 core application releases including SAP ERP 6.0, SAP Customer Relationship Management 7.0, SAP Supply Chain Management 7.0, SAP Supplier Relationship Management 7.0, and SAP Business Suite powered by SAP HANA 2013.
SAP is reforming their traditional support into Next-Generation Support. SAP Next Generation Support is designed for speed incident resolution, helps prevent incidents with proactive resources before they happen.
If the business decides to stick with SAP, they can fully realize all the benefits of SAP S/4HANA and SAP HANA in the AWS Platform
Difference between SAP S/4 HANA and SAP HANA
SAP S/4 HANA stands for SAP Business Suite 4 SAP HANA. It is the next generation business suite built by SAP replacing both the ERP and BI.
In the three Tier architecture of SAP system, SAP HANA is the database layer, SAP S/4 HANA is the application layer, SAPUI5Fiori is the presentation layer.
What is SAP HANA?
SAP HANA Database is a full-fledged, in-memory, relational database which is designed to replicate and ingest structured data from SAP and non-SAP relational databases, applications, and other systems quickly.
SAP HANA is a platform for real-time analysis of big data. It stores all the data in the server memory and processes a large amount of data faster than a traditional database system.
Why opt for SAP HANA in the AWS cloud?
AWS Well-Architected framework provides the customers to evaluate the architecture and build secure, high-performing, reliable, cost-effective, resilient, and efficient infrastructure for their SAP applications
The businesses are dealing with the rise of new customized technologies. The systems to be managed range from on-premise to the cloud (public and private), the data is both within the enterprise and outside of it.
The AWS Well-Architected Framework uses a structured approach including strategies to compare the SAP workload with the AWS best practices, to produce secure, stable and efficient systems.
AWS Well Architected Framework focuses on five pillars,
Most of all, choosing the right managed service partner is the key. Cloud Comrade, with its expertise in SAP landscape and HANA, can come up with a customized cloud strategy for high performance, availability, and security requirements for mission-critical systems.
It was those old days where were no complex applications, and the servers used to run in the most okay conditions. In this current world, as the technology grows along with the complexity, and the expectation from customers are growing as well. They are looking for one stop automated solution for business as usual.
After the break/fix model became impracticable for business-as-usual, we saw the rise of Managed Services Providers. The objective of the MSP is to increase the productivity of organizations with minimal operating costs.
Then, it was a huge success. All the customers were looking for MSP whom they can rely upon for their entire infrastructure solutions. As days pass by, the complexity of the applications and infrastructure are continuously changing, and the expectations from the customers as well.
Let’s have a look at Traditional MSP – Manual
Traditional MSP was a manual process, and also the primary concern for clients. The business wanted to have automated systems that can automatically scale up/down, and balance the load with business as usual. As there was an increasing number of customers looking for transparent and automated business technology services, DevOps focused AWS NextGen MSP’s offers enterprises build and deliver applications on AWS.
AWS powered DevOps offers an efficient workflow, that helps businesses automate day to day activities and provide full-lifecycle services to run, and support customers applications and infrastructure. The AWS powered advanced monitoring services which have predictive analysis plus the continuous monitoring, and anomaly detection helps the business to analyze the current facts and predict the future events that the organizations can take proactive measures to increase their productivity and efficiency. The AWS management reporting helps the business to make data-driven decisions for business performance.
AWS powered DevOps brings remote individuals and in-house teams together and ensures that they are in sync with each other. DevOps focused AWS NextGen MSP help enterprises find the ideal solutions and infrastructure that is cost-effective. It provides efficient business outcomes by continuously assessing and monitoring systems to optimize performance.
Let’s have a look at NextGen MSP – Automated
As a Managed Service Provider (MSP) in the AWS environment, Cloud Comrade is committed to building a sustainable automated business powered by AWS, that will continue to support and grow with our clients on the Cloud.
Operating a business across multiple environments is challenging enough. Organizations transforming in to digitalization are often surprised by the high costs of their Traditional MSP services and struggle to manage frameworks and governance across the organization. Does any of the above situations apply to your business?
We have an answer; Cloud Comrade is passionate and driven by automated DevOps NextGen AWS Managed Services to ensure Companies productivity gained are by automating their security, infrastructure, software development, and rollout to achieve critical mass in a short turn around time.
For example, let’s talk about the Traditional MSP who does lift and shit, installation, maintenance, network security monitoring, remote and onsite support. Some of the processes are reactive, and in the long run, it’s not sustainable for business operations. Some of the organizations lack technical expertise, so they have to rely more on the traditional MSP’s which wouldn’t be a cost-effective plus proactive method of running the business.
As the complexity of systems increases, the customers are looking for more than just an MSP. The customers are looking for strategic partners who instead of using traditional tools and processes, can automate and proactively provide various solutions for higher-performance computing. With AWS powered DevOps methodologies, we can develop the AWS Security Framework to maintain security and data protection in the cloud. The framework includes security strategy, risk, compliance, governance, security assessments, incident response, and automate threat hunting.
The security analytics and reporting presented by the AWS management reporting is for proactively prioritize and take measures to handle the threat.
The new breed of AWS NextGen Managed Service Provider’s is redefining the Traditional MSP business model and the go-to-market strategies. When compared to the Traditional framework, the AWS NextGen DevOps Transformation framework assesses the organization’s current capability and provides a structured approach to a DevOps transition. With AWS Powered NextGen MSP, the organizations can install Amazon Lex – Build Conversation Bots as a communication medium through B2B/ B2C portals. This build conversation bots are adaptable and can be customized based on the requests from the customers.
Machine Learning (ML) and Artificial Intelligence(AI) are two hot catchphrases in the technology arena. ML is the subset of AI, based on the idea of providing data to machines and let them learn for themselves.
With the AWS powered ML and AI, the NextGen MSP can provide scalable infrastructure, and deploy solutions through machine learning platforms for seamless deployment and consolidated billing. The ML and AI positioned Enterprise Architecture for the businesses, provides faster analytics, decision making, more interaction between technology and business, reliability, and leverage for creative inexistence services.
We have frameworks for launching Infrastructure, Software, Network, and Applications. The Open Group Architecture Framework is all about the delivery part. Let’s look at the importance of Enterprise Architecture and the comparison between Traditional and NextGen Open Group Architecture.
Enterprise Architecture methodology is critical to align the concerns between IT and Business. Enterprise Architecture is the core behind any organizations productivity, agility, service, growth in revenue and cost efficiency.
The Traditional Enterprise Architecture rely upon one operating model and emphasis interdependency. For an enterprise, there will be a mix of multiple frameworks which is a long term commitment with continuous improvement.
The NextGen Enterprise Architecture methodology is a pluggable architecture comprising of dynamic compute resources, common storage platform, flexible programming, real-time support, and managing deployment. The NextGen Architecture model is a business focused model that combines both enterprise architecture and business architecture, business process management, and decision management.
The core features of NextGen Architecture is Instant customization of Network parser, application of complex rules to live network traffic, unlimited scalability and captures everything in the infrastructure, threat feeds and API
The NextGen Architecture is to communicate in real time, for that 90% of the running applications, software and servers have to be automated completely. It empowers the businesses to have a high level of flexibility, activity monitoring and actionable insights on the cost utilization. It integrates and automates solutions that enable users to plug and play experience.
The AWS powered billing and cost management ensures you pay for what you use. The AWS provides features to monitor the usage, along with the pricing calculator which could be utilized to create price estimates. The AWS has a very transparent pricing model which helps the businesses to allocate the respective budget for cloud computing.
Amazon SageMaker now supports version 1.10 in its pre-built TensorFlow containers. This makes it easier to run TensorFlow scripts, while taking advantage of the capabilities Amazon SageMaker offers, including a library of high-performance algorithms, managed and distributed training with automatic model tuning, one-click deployment, and managed hosting.
Starting today, AWS Batch supports running workloads on z1d, r5d, r5, m5d, c5d, p3, and x1e EC2 instances.