Integrated AIOps
Leverage the power of artificial intelligence to improve visibility and boost efficiency in IT operations
Improving business outcomes with Platform Engineering
Organizations increasingly recognize the importance of reducing application lifecycle costs, accelerating time-to-market, and aligning the outcomes of multiple development streams. In today's digital landscape, Platform Engineering is an indispensable requirement for businesses aiming to compete and leverage the advantages of cloud-native solutions, enabling the provision of IT services at scale.Platform Engineering is a modern platform service that follows agile methodologies. It is specifically designed to support change and innovation while ensuring efficiency, reliability, security, and cost control. At its core, a high-performing, scalable, and cross-functional team develops and maintains shared services used by developers. Additionally, the team configures the underlying platforms to meet organizational requirements.
Our platform engineering service is ideal for organizations seeking to fully embrace the benefits of the cloud and accelerate their pace of change. We assist you in striking a balance between technological innovation and scalable ways of working.
Veli-Matti Valén
Head of Cloud Services
Key benefits
Consolidated tooling and technologies
Working with our team and proven methods, your business benefits from managing complexity, reducing overlapping costs, enabling automation, and consolidating operations.
Continuous and proactive improvement
We proactively bring suggestions to ensure that your platform stays constantly up to date, complies with latest security standards, and continually evolves to meet the needs of your development teams.
Increased developer productivity
Our team improves developer productivity by reducing the cognitive load of development teams and letting them focus on the most valuable activities for your business.
In the spotlight
Customer case: Modernizing Finnish pension management through the cloud
Arek Oy wanted to control and cut their mainframe costs and increase elasticity and flexibility at the same time.
Read more!IDC's Nordic survey shows: Cloud native ways of working increase developer productivity
Developer Productivity and Maturity Survey clearly demonstrates that development productivity is directly correlated with business outcomes.
Read moreIlmarinen chose Public Cloud for the next step of their customer-centric and security-first strategy
How a regulated business can benefit from Public Cloud?
Read more!Maximize your cloud investments by improving your developer's experience
The developer productivity can be improved by embracing autonomous teams, automated platforms and a culture of DevOps.
Read the blog!Report: New Operating Models Are Needed to Improve Overall Efficiency
Get the summary of findings in a report format. No contact details required.
Download the report!Key features
Key Performance Indicator (KPI) driven delivery model
KPIs measure the success of the collaboration and they are created jointly by Tietoevry’s Platform engineering team and customer. KPIs are linked to Customer’s strategic goals making it possible to continuously evaluate if the team is creating impact from the long-term perspective. KPIs are followed actively and utilized throughout the service. They are also a concrete way to measure and communicate the value delivered by the service.
Scalable Platform Engineering team
Platform Engineering service is based on FTE and team model that enables the establishment of a core team which guarantees stability and effective knowledge management. In addition to having the core team, the scalable model also allows the temporary engagement of niche skills or quick scaling if requirements change. The model is based on rolling quarterly ordering cycle.
Short- and long-term planning to reach business goals
Our approach combines long-term planning with detailed short-term incremental planning to ensure that we consistently provide value. Stakeholders are interviewed at regular intervals to understand pain points and bottlenecks to decrease the cognitive load of developers and increase developer productivity. This way we can also ensure the reliability of the platform from development to operations and share knowledge between teams.
Transparency through shared backlog
Backlog is the most important tool in the service for prioritization, transparency, and governance. Shared backlog ensures that all stakeholders are aware of what activities are in progress and different teams can efficiently communicate directly through the backlog.
Collaboration and commitment
Joint planning, tools and communication channels are crucial in facilitating active cooperation, communication, and agile methodology. Tietoevry’s platform engineering team promotes positive behaviors such as openness, trust, communication, and commitment towards set goals.
Customer-centricity and data driven lean development
This involves understanding the needs of customers and creating solutions that solve real problems and create real value for the customer. Measurement of different metrics in a distributed system is critical for evaluating its success. Without measuring, the success of practices cannot be quantified. Measuring also makes failures in systems visible, promoting the idea that effective operations are the responsibility of all teams.
