Kubernetes Consulting Services

How We Help Organizations Seamlessly Orchestrate Containers with our Kubernetes Consulting Services

Our Kubernetes consultants are experts in orchestrating containers and automating deployment to achieve project delivery at scale. With our holistic expertise in cloud native distributed systems and cluster based container systems, you can ensure that your Kubernetes deployment is top-notch quality, regardless of whether you use a private cloud or public cloud provider.

Our multiple services help you in everything from setting up private or public cloud infrastructure to monitoring application health, setting up Kubernetes security protocols, and conducting a user defined health check. Our offerings include after care Kubernetes support. Cuelogic engineers are experts in providing the following services.

Kubernetes Consulting Services

• Assess the readiness and maturity of business processes for reliably running Kubernetes clusters. Compare current processes to industry standards, conventions, norms, and best practices
• Create a roadmap of a successful Kubernetes initiative. Audit existing products and build a plan. Avail expert guidance through Kubernetes workshops and training. Cover the process of Assessment, Discovery, Audit, and Reporting
• Build cloud native applications in Kubernetes with industry-standard setup practices

Ready-to-use Kubernetes Boilerplates

• Use our premade playbooks for common infrastructure management across various cloud providers. Our templates automate Kubernetes setup and operations with KOps
• Institute standardized, validated business processes for the development ecosystem
• Leverage standardized best practices to support Kubernetes cluster debugging. Use the deep expertise that our engineers possess in battle tested tools, validated across multiple enterprises, teams, and use cases

Automated Delivery Pipelines

• Ensure increased productivity with CI/CD automation, improved stability with Git’s capability to revert/rollback and fork, higher reliability with a single source of truth from which to recover after a meltdown, and cryptography-backed security
• Enable changes in git repository to be automatically applied to your system
• Get alerts when there is any divergence between the declarative single source of truth in your Git repository, and the code running in a cluster. Update or rollback clusters automatically with Kubernetes reconcilers

Microservices Management with Service Mesh

• Implement a service mesh architecture to enhance communication among various services of an app, independent of business logic
• Run modern server-side software that is reliable, secure, and observable with service mesh features that apply across services regardless of details of development or deployment
• Orchestrate service mesh proxies with Kubernetes and decouple the service mesh from application code. Ensure granularity in multicloud operations

Clustering

• Build reusable abstractions and dynamic clusters in order to reuse and adapt strategies across projects and departments
• Ensure resiliency, cost optimization, and scalability with Kubernetes. Run containers on multiple machines, operating systems, and environments, including virtual, physical, cloud-based, on-premises, and hybrid
• Orchestrate multiple clusters across geographical regions. Scale applications, maintain a cluster’s state, and seamlessly roll out updates

Kubernetes Distributions & Multicloud Orchestration

• Get expert help in selecting and installing the optimal Kubernetes distribution based on your technical and business needs
• Decide your Kubernetes distribution based on factors such as storage needs, on-premises or cloud architecture, and edge deployment, automated upgrades, and networking support
• Get specialized Kubernetes distributions and avoid vendor lock-in when using multiple cloud service and storage providers in a single network architecture

MLOps & Kubernetes Professional Services

• Receive consulting services about running ML models in production quickly, securely, and cost-effectively. Enhance flexibility in varied machine learning frameworks 
• Accelerate delivery pipelines with training, debugging, deployment, and monitoring. Relay business needs and data feedback to ML models running on production data
• Streamline collaboration among teams involved in the ML lifecycle, including business, data science, and IT. Effectively use diverse skills and tools

Cloud Native Security Management

• Implement security best practices for the 4 Cs of cloud native security – Cloud/Co-lo/Data center, Cluster, Container, and Code
• Enhance security management with Kubernetes’s own tools or third-party tools such as Anchore, Aqua, or other tools in line with your needs
• Ensure automatic updates for security best practices. Securely sign, scan, deploy packages, and administer clusters. Use cost-effective managed services providers such as AKS, Amazon EKS, or GKE for default security configurations

Observability & Monitoring in Kubernetes

• Use our systems, tools, and Kubernetes expertise to collect insightful metrics about logging, monitoring, and tracing
• Maintain a detailed log and audit trail about transactions across clusters, nodes, and machines. Monitor application performance and visualize related data with tools suited for your personalized needs
• Get business metrics that assign a dollar value to the transactions logged, thus going beyond just technical metrics