Visibility is Paving the Way For Hybrid Cloud Adoption

IT, IT Infrastructure, ROI, AIOps, Automation, Cloud, Hybrid Cloud, Data Management, CEO, CTO

Federal cloud adoption is driving the recently updated Cloud Smart strategy, which is taking off faster than ever. Rather than the migration to the cloud, federal agencies are taking an incremental approach, tailoring the cloud transition to accommodate their unique workload needs and criteria. Cloud stands for everything the industry needs, resulting in a multiplying number of multi-cloud and hybrid environments within the federal space.

Despite the advantages the cloud brings, interoperating legacy systems with newer technologies can create visibility gaps across the firm’s IT ecosystem. With highly sensitive workloads that run government processes, this risk to citizen safety is unexpected and unacceptable.

Agencies need to utilize modern approaches and tools that provide a holistic operational view to ensure reliability and availability in the mission-critical services—mitigating threats to avoid any severe impact. A service-centric approach to IT operations can assist agencies in ensuring operational readiness, whether deployed in the cloud or already employed in a hybrid environment. Here’s what that comprises:

Context of the data

In today’s complex applications, many elements of application and infrastructure components must work in tandem. For that, comprehensive and clean data alone is not enough. It needs to provide context to deliver recommendations, insights, and automated actions. Analyzing the impact of every single component or device is critical to rapid service restoration. Modern tools can assist federal IT teams in differentiating between regular occurrences and those that require remediation and attention—and can prioritize according to the degree of urgency. Contextualized data gives IT teams the insight necessary to act efficiently and quickly, ultimately reducing the impact and duration of a service disruption.

Clean Data

The foundation of effective cloud management and monitoring lies in the quality of operational data. The immense amount of data produced by applications is both a boon and a bane for federal IT operations. Poor operational data derived from multiple disparate sources can pose a serious challenge to effective troubleshooting. If it is not aligned, standardized, synchronized, and de-duplicated, it’s a threat more than a blessing.  A clean data pool for operational data becomes a strategic asset for the IT operations teams by reducing the confusion generated by employing multiple niche tools.

Automation for Simplification

In addition to ensuring a robust response mechanism, real-time, operational data delivers a service-centric approach. It helps to maps the dependencies and the intra-dependence between infrastructure components and the applications they support. This provides a blueprint for tracing the cause of failures, highlighting how infrastructure problems affect application performance.

With the established blueprints, IT teams can identify service impact, visualize, and isolate the causes of disruption. This will help to initiate automated tasks for enhanced service availability. Automating complex processes—or actively expanding automation processes across the entire IT infrastructure, help to predict and resolve issues quicker.

The transition from traditional IT operations to machine-speed AIOps accelerates the process of sorting the operational data to optimize and remediate IT problems, promoting better mission outcomes. With contextualized and clean data, opportunities for automation can be effectively identified and implemented confidently and significantly to minimize disruption or avoid it completely.

When these critical decisions are taken, federal agencies achieve visibility across mission components, enabling clear-sighted action and proactive decision-making. The result? Enhanced security, multiplied ROI, and improved service delivery to the aligned industries.