The past decade has seen many enterprises move from aging legacy systems to the cloud. Enterprises are outgrowing their on-premises infrastructure, and newer cloud-native IT applications perform better on the cloud. Additionally, on-premises infrastructure cannot match the cost-effectiveness or scalability of the cloud—a must as enterprises become more reliant on digital service delivery.
The main barrier to cloud adoption is the migration process. Architecturally, legacy applications differ significantly from their modern counterparts. Therefore, enterprises need an expert partner who can convert legacy datasets and workflows into a format that can be lifted-and-shifted to the cloud.
Trianz answers this call with dedicated Infrastructure-as-a-Service (IaaS) migration solutions. Our experts help enterprises tackle the migration process, starting with the assessment phase and ending in full cloud adoption. This allows us to elevate our clients, moving them away from inefficient legacy infrastructure to scalable, performance-driven, and cost-effective cloud hosting platforms.
Let us discuss the benefits of IaaS public cloud adoption and how it can increase IT maturity across your enterprise.
For the uninitiated, IT maturity encompasses how effectively your enterprise uses IT services to achieve business objectives. There are five recognized stages of IT maturity, one of which your enterprise will fall into:
At the first stage, enterprises have a very basic IT infrastructure and a disorganized management style. There is no cohesion between business objectives, workflows, and the IT infrastructure upon which they rely. Stage 1 enterprises are commonly reactive, cannot generate long-term forecasts, and tackle repeatable tasks without any set standard of action.
At the second stage, enterprises are more aware of how IT plays a significant role in business success. They may be following IT best-practices like ITIL and COBIT. Still, however, these enterprises continue to be reactive rather than proactive due to a lack of monitoring and predictive forecasting.
At the third stage, enterprises use IT with more flair and purpose. Standardized workflows and processes are adhered to, and common IT problems are tackled with a service desk, asset management software, infrastructure monitoring tools, and more. These enterprises have taken steps to optimize their infrastructure to achieve business objectives but are still far from full efficiency.
At stage four, enterprises are highly competent in leveraging technology to achieve business objectives. Standardized workflows and processes are rigorously followed, with full documentation and auditing of IT environments to simplify ongoing IT operations management (ITOM). These enterprises may have internal service level agreements (SLAs) for critical services and maximize their existing IT resources for the betterment of the wider enterprise.
IT is not merely a tool at stage 5—it’s a requirement. Enterprises are wholly reliant on IT to deliver services and products, and this reliance is backed by continuous optimization and proactive management from the IT department. Automation features heavily at this stage, with automated remediation and predictive infrastructure monitoring to minimize downtimes and mean times to remediate (MTTR) problems.
When an enterprise moves to the cloud, it is much easier to move up through the IT maturity stages. IT maturity improves when applications and services can be seamlessly integrated, and modern concepts like AI automation and proactive monitoring boost this further.
As an example, here are some IT services and management workflows that increase in maturity after a move to the cloud:
For a Stage 1 enterprise, IT operations management (ITOM) would be manual and reactive. Employees rather than software will be fixing ITOM problems, and a lack of monitoring insight will make it challenging to find the needle in the haystack.
By moving to the cloud, enterprises can leverage platform-native ITOM solutions. As an example, AWS offers the Amazon CloudWatch service for full application and infrastructure monitoring. Since this comes pre-integrated as part of the cloud hosting package, enterprises are instantly lifted from Stage 1 to a higher stage and with no additional development effort. This built-in cloud monitoring maturity solves the problem of IT visibility, enabling new strategies and approaches compared to on-premises.
A Stage 1 enterprise may encounter problems with IT service management (ITSM). This spans across internal and customer-facing services, with infrastructure hosting, service delivery, and lifecycle management being tackled with a scattered and disorganized approach.
After a move to the cloud, enterprises can leverage ITSM solutions from our partners like ServiceNow. The platform integrates easily with hosting platforms, with Microsoft Azure offering the Azure ITSM Connector service as an example. This provides a unified gateway for all things ITSM, including customer support, IT service monitoring, automated service remediation, and multi-cloud service orchestration. The platform can integrate with ITOM, application performance management (APM), and hosting platform identify access management (IAM) solutions to improve IT maturity. This centralizes your monitoring, orchestration, and governance risk compliance (GRC) tools and processes, uplifting enterprises to Stage 4 on our IT maturity scale.
By working with Trianz, enterprises can migrate to IaaS platforms and move up through the IT maturity stages. Our services include full lift-and-shift migrations, helping enterprises move away from on-premise legacy solutions to a fully integrated cloud environment. We also provide GRC solutions that help enterprises establish governance frameworks, create robust security policies and controls, and monitor IT risk factors in the cloud.
Database management and orchestration are incredibly important in a digital-first world, and our data management services help you integrate and optimize your data sources for maximum business benefit. For optimistic enterprises that want to reach Stage 5 of the IT maturity scale, we offer advanced consulting on data monetization: a pathway toward data-driven revenue generation, insight-driven decision-making, and embedded analytics in internal and customer-facing services.
No matter where you are on the IT maturity scale, Trianz has the expertise and know-how to uplift your enterprise. Give your business a competitive advantage and outmaneuver the competition by getting in touch with our friendly experts.
Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data.Explore
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
The Cloud is the Key to Transformation Success… Transitioning your applications to the cloud is undeniably a critical factor to a successful digital transformation endeavor. It’s more than just a lift-and-shift, however. Let’s explore several things that you need to consider before migrating your applications to the cloud, including: Readiness of your application portfolio Where to begin – the right business case and migration strategy Technology requirements and considerationsExplore
Application Modernization at Speed and Scale Enterprises are pursuing greater application scalability, cost efficiency, and standardization with containerization and virtualization platforms. So, what’s the difference? Containers are a type of virtualization technology that allows users to run multiple operating systems inside a single instance of an OS. They are lightweight and portable, making them ideal for running applications across different platforms.Explore
Container Orchestration or Compute Service? Amazon Web Services (AWS) offers a range of cloud computing services to meet enterprise needs. Included in its service offering is the elastic compute service (ECS) and elastic compute cloud (EC2). Choosing between these two services can be difficult, as one focuses on virtualization while the other manages containerization. In the following article, we will explore the differences between Amazon ECS and EC2 to help you better understand which service is right for your use case.Explore