Welcome everyone. My name is Teta. Today we are discussing about SNT Cloud native integration and SRE approach to enterprise digital transformation. Digital transformation demands a new approach to integration as our nations increase a adopt cloud technologies, the reliability and operational excellence. Of integration platforms have become paramount to business success. This presentation explores how SRE or Site Reliability Engineering principles can revolutionize cloud native integration, enabling organizations to maintain exceptional uptime while accelerating innovation. Drawing from the real world implementation across multiple industries, we will provide actionable strategies for. IT professionals looking to build more T integration architecture. The Now let's dive into the evolution of integration challenges. So integration architecture have evolved dramatically over the past decades. Traditional integration patterns, face significant challenges in distributed environments. Where complexity increases exponentially with each service and data source. The move to cloud native architecture has amplified these challenges, introducing concerns around dynamic monitoring, scaling, and cross cloud dependencies that traditional monitoring approaches struggle to address effectively. Let's take a brief journey through the evolution of integration. We started in the monolithic era with centralized point to point connections. Then say, then came the service oriented architecture that introduced enterprise service buses and improved reusability. Today we are in the age of cloud native integration where distributor microservices and containerized deployments rule the day. And now we are moving towards an SRE driven approach. That focuses on reliability Through advanced observability and automated operations, each stage has brought new challenges and our current environment demand even more robust solutions. So now let's dive into the core SRE principles for integration excellence. Now let's look at the principles that drive integration excellence. First, strategic reliability. Aligning business objectives with error budgets and service level expectations. Next, comprehensive observability. So end-to-end tracing and metrics to monitor every part of the integration flow. Third, automation. First, implementing self-healing systems and auto remediation to reduce manual intervention. And finally, the continuous improvement, learning from the incidents and chaos engineering experiments. To constantly refine our systems. These principles allow us to balance innovation with the stability that business demand. Now let's look at the defining effective service level objectives. So service level objectives or SLOs, or the foundation of the reliable integration for availability. SLOs define uptime expectations for integration endpoints. Message brokers and API gateways based on the business impact measuring both synchronous request success rates and asynchronous message delivery guarantees with latency SLOs. Established performance thresholds for data processing pipelines with both average and percentile targets. A code for variable workloads with context aware. Thresholds based on payload size and complexity. And for throughput SLOs define capacity objectives for message processing rates, concurrent connections and transaction. Total transactional volume include elasticity metrics that measure how quickly the system scales to meet demand spikes. Now let's look at building observability into integration flows. Observability is critical to understanding what's happening in our complex integration environment. We start by instrumenting our code, embedding tracing metrics and logging at every integration boundary. Then we collect and aggregate this data into centralized systems for analysis, visualizing these patterns through dashboards. Give us a clear picture of end-to-end flow. Health and intelligent alerting based on SLOs helps us react swiftly to anomalies. This comprehensive approach reduces our mean time to diagnose issues and keep our services running smoothly. Kios Engineering for integration resilience. Now let's talk about the kios engineering. Proactive approach to resilience. By deliberately injecting control failures such as API rate limiting or message broker outages. We can observe how our systems react under stress. We start with a clear hypothesis, inject failures, measure the system's response against our SLOs, and then refine our design. This it alternative process helps us building self-healing integration flows that can gracefully handle disruptions and continue operations under pressure. Now let's dive into a case study where we have for a financial services integration platform. So here is a, there is a real world example from the financial services sector, a global firm. Transformed its legacy integration architecture to a cloud native platform, supporting over 3000 APIs and processing more than 500 million daily transactions. They achieved 99.99% availability. Reduced incident response times by 70%, increased throughput fivefold, and reached 85% automation in incident remediation. Their success story underscores how comprehensive observability and automated canary analysis can prevent outages and drive continuous improvement. Now let's dive into securing our distributor integration architecture. As our integration platforms span multiple services and clouds security became a paramount concern. We adopt a zero trust architecture to ensure service to service authentication regardless of the network location. By centralizing secrets management and automation, automating credential rotations, we reduce risk. Data lineage help, helping tracking, maintaining visibility of the sensitive data as it flows through integration pipelines with automated compliance checks, runtime protection. Deploy API gateways with threat detection capabilities to identify usual patterns, unusual patterns in integration traffic. It's a. Security is not an add-on. It's a integral part of the resident integration. So now coming to automating integration operations automation is a cornerstone of the SRE philosophy. We start with configuration management, storing every detail as code, and managing changes via tops. With deployment automation, we implement a blue or green. And canary strategies that automatically roll back if SLOs are breached. Effective incident response is achieved through predefined runbooks and automated diagnosis, while capacity management users predict two, scaling based on historical data and business patterns. Automating these operations, minimize the human error and allow our teams to focus on innovation. So coming to building a shared reliability culture. So technical measures alone are not enough. Building a culture of shared reliability is essential. This means creating shared accountability between development operations and business teams through joint metrics and regular reviews. Encouraging knowledge sharing helps everyone understand the dependencies in our integration flows. Celebrating reliability milestones and adopting a blameless learning from Postmas. Fostering an environment where continuous improvement is the norm. This cultural shift ensures that reliability is a collective ongoing priority. Now let's dive into implementing the roadmap and next steps to wrap up our strategy here is a actionable roadmap beginning with a thorough assessment of your current integration flows and reliability metrics. So define SLOs, so establishing business aligned, reliable reliability targets for key integration services, implementing observability. So instrument integration components with consistent telemetry. And last one, automate operations build CICD pipelines with reliability gates and auto remediation. This roadmap is designed to guide you on your journey towards a resonant cloud native integration architecture driven by SRE principles. Last. Lastly, thank you for attending this session. I hope today's presentation provided you with a valuable insight and actionable strategies for transforming your integration platforms with SRE. Thank you.