Consulting and Advisory

Our most experienced engineers enable VPEs and CTOs to overcome major new tech challenges. We do this with a hands-on approach that delivers instant results.

With leading, cutting-edge technology consulting and advisory services, we help clients stay ahead of dynamic changes like the cloud-native revolution, the evolution of PaaS, FaaS, and edge computing, and the rise of AI and machine learning. 

Lohika has more than 17 years of experience in scaling software engineering for the most innovative and demanding technology companies on the planet. Our wealth of experience and data-driven insights have been utilized to deliver solutions during a host of big disruptions, including the commoditization of Big Data, the cloud-native revolution, the evolution of PaaS, FaaS, and edge computing, and the rise of AI and machine learning.

Our spearhead consultants collaborate with VPEs and CTOs to:

  • Ensure that the right architecture and technology choices are made during the early stages of development
  • Troubleshoot and solve urgent software engineering issues to immediately find agile solutions
  • Implement challenging proofs-of-concept for next-generation ideas

Our advisory services are highly specialized and focused. Our clients’ engineering teams rely on our experts for actionable advice which entails:

  • Building cloud-native applications
  • Best practices for deployment and observability of apps
  • Migrating from a monolithic to a microservices architecture
  • Implementing performance and security testing
  • Designing and fine-tuning data processing pipelines
  • Delivering data science discoveries
  • Productization of ML models

Lohika consulting’s offerings are backed by real-life case studies which demonstrate businesses’ track records. The AI engineering consultants at Lohika provide data engineering advisory services that involve the following:

System Audit System Audit
  • Investigation into the current limits of a system’s availability and scalability
  • Determining the viability of maintaining a system for both short and long-term purposes
  • Confirmation on whether your system provides enough information to identify the root cause of an issue
  • Will make sure that metrics in the system are correct and provide good visibility into what is happening behind the scenes
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Observability and Monitoring Observability and Monitoring
  • Show when and where things may go wrong
  • Make sure the system provides enough information to discover the root cause of an issue
  • Confirm that the system provides alerts when something goes wrong
  • Verify that distributed system tracing and monitoring data is actionable
AI DevOps AI DevOps
  • Use a tailored, sophisticated approach to make AI work in production on different platforms
  • Connect data scientist, infrastructure, machine learning and data engineers
  • Focus on orchestration, integration, and optimization
Data Science Data Science
  • Question efficiency of decision-making processes and assumptions
  • Extract meaningful data and actionable insights to drive business decisions
  • Improve decision-making with the help of statistics and ML algorithms
  • Incorporate ML-driven decision-making into a current analytical system or a data pipeline
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Cloud Migration Cloud Migration
  • Provide a strategy for the migration of existing on-premise application into a cloud
  • Ensure that application is auto scalable to handle continuous business needs
  • Minimize failure risks and increase reliability via auto-redundancy and geo-redundancy
  • Advise on best practices for efficient auto-provisioning of system resources
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Automated Deployment Pipeline Automated Deployment Pipeline
  • Decrease feature time to market and ensure resource allocation transparency
  • Consult on best approaches to enable a constant flow of changes in production
  • Select a reliable, cost-effective, and hardened production deployment
  • Say guarantee SLAs while selling external APIs to third parties
  • Ensure the reliable and repeatable process of taking software from a source repository to an end user
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Performance Testing Performance Testing
  • Define and guarantee performance metrics in contracts with clients
  • Transparently measure defined SLAs between releases
  • Select a reliable, cost-effective and hardened production deployment
  • Say guarantee SLAs while selling external APIs to 3rd parties
  • Minimize application performance complaints
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Security Testing Security Testing
  • Make sure that your system is safe and free from vulnerabilities
  • Verify that your system protects the data and maintains its intended functionality
  • Validate that application is fully compliant with security standards like PCI DSS, ISO27001, HIPPA, GDPR
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Microservices Microservices
  • Provide guidance on micro-services architecture, design, and technology
  • Establish an efficient development process for teams
  • Ensure deployment strategy is on par with delivery goals
  • Confirm that production infrastructure is reliable, cost effective and hardened
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Data Processing Solutions Data Processing Solutions
  • Handle massive quantities of data using batch and streaming approaches
  • Enhance existing successful data solutions to provide near real-time experience
  • Proactively react to incoming streams of data (alerts, fraud detection, etc.) in near real-time
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Data Engineering Advisory Services Data Engineering Advisory Services
  • Maturity assessment on all data and data discovery
  • Data processing of batches in real-time
  • Advanced research on data analytics
  • Scalable solutions for cloud-based data
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Lohika Agile Engineering Services FAQs

Lohika is a premium software development company that facilitates agile software engineering solutions through a team of experts who deploy complex core development initiatives to help enterprises upscale in a competitive environment.

Agile engineering services refers to systems and structures that have been put in place to ensure improvements are made where teams iterate, test, and gather feedback on software development and product design. These managed software engineering services ensure that challenges are broken down into measurable sprints and produce accurate product development cycles and results

A UX designer mainly focuses their research on the design component of a website while the UX engineer will develop the code for it. Designers focus on the front end while engineers work on the backend and ensure that the product is fully functional.

Yes, software engineering work can be done remotely. Remote engineering services allow business enterprises the flexibility of getting work done without having to wait for an individual to physically show and solve issues.

Yes, Lohika does provide UI/UX engineering services for enterprises that are in need of this offering

The outsourcing of remote software engineering services help EVPs and CTOs use the best overall technical strategies to ensure an improved customer experience. Agile engineering services by Lohika ensure that this is done as smoothly as possible.

Yes, Lohika Capgemini offers remote software engineering services to clients around the globe looking for software solutions to challenges in their respective enterprises.

A remote software engineering manager can work from home and manage a team to enhance or develop software for business enterprises. Software engineering managers can ensure that remote engineering services provided to business enterprises meet their needs. Lohika provides agile software engineering services of the highest quality.

Lohika offers several remote engineering services that range from architecture and design, testing, UI and UX, development, level 3 support as well as system reliability and infrastructure engineering.

We would like to help you accelerate your managed software engineering needs by providing you with the right team of software engineering specialists. Contact us today!

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Let’s talk about how Lohika can help you scale your engineering organization.