AIOPS

Observing the performance of digital infrastructure fragmented and spread across on-prem and cloud storage devices, networks, apps, and dashboards with complex dependencies overwhelm the best of DevOps, SRE, and NOC teams fighting frequent downtimes and disruptions. As a strategic, long-term, proven and trusted partner, we are enabling several Fortune 500 businesses to successfully implement AIOps solutions backed by strong strategy.

With a strategy-driven approach, we assess and map your current operational processes, tech, tools, and resources. Our expert technologists perform a strategic assessment of your issues, define your vision, and create a roadmap to achieve measurable goals. We set up your business for success by providing critical advice on vendor-agnostic AIOps solutions that improve performance, predict outages, automate tasks, develop insightful reports, and manage risks.

We help you prepare solution roadmaps, blueprints, KPIs, business cases, proofs of concept, and detailed project plans for tailored solutions that critically enhance operations for business continuity. We also help you obtain stakeholder buy-in and commitment.

Businesses that do not strengthen the foundational environment and rely on lifting-shifting-feeding of unrefined legacy data and archaic operational processes into an AIOps solution don’t derive any value addition from AIOps. With immense experience in modernizing operations, we have helped several large companies including Fortune 500 businesses derive immense value-add by future-proofing operations with revolutionary tech platforms that address the foundational environment using AIOps.

During migration, we improve, automate and speed up data, frameworks, technologies, and platforms that form the foundational layers of the AIOps solutions. We help you automate streaming data in real time and replace older/archaic processes with advanced monitoring and observability tools. 

With our unique REFINE™ methodology, we help you create a healthy foundation during migration from legacy to AIOps, building a strong foundation of tools, processes, and frameworks to ensure the optimal health of your application, IT, and network estate that feeds into the AIOps solution. With open-source tools, we help you categorize events and logs to identify data useful for training the AI models and maximize the amount of data collected and observed. We also automate complex ops processes that otherwise require significant manual effort and time in a legacy environment.

Businesses need to ensure there is real-time visibility into not just clarified and reliable data ingestion, but also whether new AIOps tools being integrated are working seamlessly across the environment. With the latest tools being rapidly added to IT ops, DevOps, networks, SRE, and NOC teams are increasingly facing expensive outages due to fragmented tools integration. 

With tremendous expertise working with most tools in this ecosystem – interconnects, data exchanges, and standards – Softility provides you with complete control of your tech estate enabled by end-to-end tools integration across apps, IT ops, and networks. These include specialized tools for monitoring, network and app performance, logs, time series, cloud infrastructure, containers, databases, middleware, and support systems such as the ITSM platforms and 3rd-party apps.

We successfully integrate tools analyzing incoming curated data and providing actionable insights with those proactively triggering manual and automatic actions. We seamlessly interconnect tools that capture data across domains and data lakes, monitor and ingest data, analyze and provide deep insights, enable multi-directional collaboration, and trigger actions. This enables a unified real-time view of the operational systems. 

Businesses need highly experienced tech partners to carefully architect thorough AIOPS solutions that take into consideration the current and future direction of the organization, the tech landscape, and infrastructure investments. These factors play an important role in determining the capability of AIOps solutions to scale and grow with the evolving underlying infrastructure. Such AIOps solutions can deliver consistent value and continue to be relevant for years to come.

With years of experience implementing AIOPS platforms for several large businesses, including Fortune 500 companies, we build tailored architectures and frameworks that evolve with the business and continue to deliver long-term value. We empower you with effective architecture, infrastructure, and data components. We enable user management and self-service. We create hooks that feed in and out of the AIOPS solution along with integrations with ticketing systems and automation platforms. 

With vendor-agnostic solutions, we help you create modern architectures that transform your tools, workflows, platforms, processes, data, and frameworks to provide clean, reliable data insights to help you ensure greater collaboration between IT ops, SRE, NOC, and business teams.

With Machine Learning Operations (MLOps) becoming fundamental to AIOps adoption, businesses are enabling data science teams to leverage ML capabilities to develop value-add prediction models. Softility is helping some of the world’s largest businesses lower OPEX and become highly agile with our MLOPs solutions – by implementing a series of practices, frameworks, and workflows that help IT teams collaborate with NOC and help desk teams, and apply DevOps principles to ML systems, to automate monitoring and availability.

By using MLOps in our AIOps solutions, data scientists no longer spend time on hidden technical debt activities (non-data science tasks such as tracking, monitoring, configuration, resource, and infrastructure management). Our MLOps platform helps automate dev processes and enables ops teams to focus on optimizing infrastructure, and data scientists to deliver high-impact predictive models. Your business gains a competitive advantage with greater collaboration between data scientists, DevOps engineers, and IT teams.

We help you define ML strategy and prepare input data and data models, create data pipelines, add actionable outputs for the underlying issues, and train, test, automate, and scale ML models. We help you unlock new sources of revenue, save time and cut costs, leverage data insights for intelligent decision-making, and improve customer experiences.  

Businesses are no longer dealing with manually manageable amounts of data and data models and can’t afford to engage resources in fighting downtimes and disruptions. With immense experience in implementing AI-driven IT operations solutions, we offer next-generation managed services that simplify the support models for your diverse AIOps requirements.

Our certified engineers with high expertise in open-source and vendor-based technologies provide 24×7 global support for ML and AI-driven service assurance solutions. We offer end-to-end managed services post the AIOps adoption cycle. We ensure the maintenance of strong foundations and platforms, extend the value of modernized IT ops and networks, reduce Incident volume, infuse auto-remediation, build in proactive problem management, improve SLAs, and ensure operations are reliable data-driven.  

By partnering with us, you cut down IT operations overheads, eliminate the cost of hiring and training new staff, enable improved monitoring, gain access to dedicated service desks, and improve productivity. Our expert backup and disaster recovery services keep your data secure. You have scalable access to our technical, functional, and AIOps specialists to help you continue to maximize value from your AIOps transformation.