The cloud has changed the way we manage IT infrastructure. Enterprises no longer need to focus on the management of hardware, thanks to cloud platforms handling it as part of their service package. But businesses still need to manage how this infrastructure operates, which creates a need for robust IT operations management (ITOM) and AI operations management (AIOps) solutions.

To meet this demand, Trianz has partnered with the ScienceLogic platform. ScienceLogic is a leading AIOps and ITOM platform, allowing enterprises to orchestrate, monitor, and administer their cloud infrastructure from a single unified management portal.

With ScienceLogic, enterprises can apply AI and machine learning alongside infrastructure analytics to proactively manage their cloud IT networks. This analytics insight leads to a reduction in the meantime to remediation (MTTR) for system outages, as well as reduced operating expenditure (OpEx) via intelligent real-time service adoption.

In sum, ScienceLogic enables the full automation of your cloud IT infrastructure. This significantly reduces administrative IT workloads, giving your IT department more time to focus on major projects. You will also experience a reduction in service downtime, and increased reliability with automated remediation and failover through ScienceLogic AIOps.

Trianz ScienceLogic Offerings


Trianz has partnered with ScienceLogic to deliver automated AIOps and ITOM functionality to our clients. We offer a range of ScienceLogic consulting and implementation services, including:

 
ScienceLogic Implementation Services

ScienceLogic Implementation Services

Before you can take advantage of ScienceLogic, you need to configure the platform and integrate your hardware and software assets. Trianz offers an end-to-end ScienceLogic implementation service. Our experts will analyze your existing infrastructure and identify candidates for integration. From there, we load servers and software assets into ScienceLogic, before applying AIOps and ITOM rules to automate orchestration and administration. This results in a self-managing, self-healing IT infrastructure that can grow alongside your enterprise over time.

ScienceLogic AIOps Adoption

ScienceLogic AIOps Adoption

ScienceLogic offers powerful AI functionality to automate IT management and orchestration processes. This includes predictive operations, where AI and machine learning algorithms can analyze historical data to accommodate future demand proactively. Predictive operations also apply to outages, where AI and machine learning can predict whether a string of events are likely to cause problems. Then, it will automatically deploy a new instance and redirect users for invisible and automatic remediation of customer-facing services problems. All these functions serve to reduce your mean time to remediation (MTTR) and improve incident response times, reducing perceived downtime for users and increasing the overall quality of the customer experience (CX).

ScienceLogic Full Visibility Enablement

ScienceLogic Full Visibility Enablement

ScienceLogic is fully cloud- and software-agnostic, allowing it to monitor any hardware or software assets on your network. This enables complete cloud visibility, with asset relationships and statistical inference offering insight into your infrastructure and service co-dependencies. ScienceLogic uses this information to predict outages, where a master node outage can be used to forecast further network disruption down your server and software stack. This visibility extends across multi-cloud networks and any software packages that use the REST-API, giving you the data and insight needed to monitor your long-term network health.

ScienceLogic APM Adoption

ScienceLogic APM Adoption

ScienceLogic also monitors applications, using a service called application performance management (APM). This allows you to monitor the availability and performance of your internal and external digital services. Using ScienceLogic APM, you can identify processing and network performance problems in real time, uncovering the root cause of application problems. This provides the insight needed to reconfigure your applications and services for optimal efficiency, leading to improved service delivery quality and reduced downtime. You can also use ScienceLogic APM to assess vendor performance over time. With this data, you could propose a business case for digital transformation to key stakeholders.

ScienceLogic Event Management Implementation

ScienceLogic Event Management Implementation

ScienceLogic also offers an event management system, with event de-duplication and organization to simplify analysis. This reduces event noise, providing condensed and contextualized insight for IT departments to use during the remediation stage. ScienceLogic can apply AI and machine learning to these events, with low-level administrative tasks being handled automatically through the AIOps service. This includes the fixing of deviations from your chosen software or hardware configurations using CMDB validation, and real-time event analytics to remediate problems faster than a human.

Digitalizing IT infrastructure is all about collaborating with other organizations who can help you create a digitally enabled business that is more efficient, engaging, and ultimately more profitable.

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