Let us help you get from Basic Cloud to Cloud 2.0 and truly transform your business for the long-term
Let's face it, most companies are not doing cloud right, they are not modernizing at the pace of modern cloud (which is fast as h*ck) and are being left behind to be disrupted by their more nible competitors. Cloud customers are also often time left overpaying for idle, under-utilized or unoptimized cloud resources. Cloud Modernization and Optimization is your ticket to staying in the game and thriving in an ever more challenging, dynamic and complex cloud ecosystem.
Our Services
DevOps and CloudOps
All of your AWS and Google Cloud environments and resources in Terraform or familiar programming languages (TypeScript, Python, Go) using AWS CDK, CDKTF or Pulumi. Implement CI/CD pipelines and optimized deployment strategies for cloud infrastructure and applications. Develop custom automation, integrations, perform cloud operations and tune your cloud configurations.
Cloud Security & DevSecOps
Implement security controls and compliance measures for your networks, services, users and data on the cloud. Leverage Web Application Firewall (WAF) and Network Firewalls for protecting API, Web and ingress/egress network traffic. Detect and respond to threats with IPS/IDS and runtime threat detection. Ensure compliance to CIS, PCI-DSS, SOC2, HIPAA, NIST CSF, ISO and more.
App & DB Modernization
Leverage Containers and Serverless to enhance business agility, developer productivity and operational efficiency. Modernize databases with Amazon RDS, Aurora, DocumentDB, Google Cloud SQL, AlloyDB and MongoDB Atlas. Migrate your Redis cache to Amazon ElastiCache or Google Cloud Memorystore. Take advantage of Data Warehousing and Analytics with Amazon Redshift or Google BigQuery.
Cloud Development
Custom development of application services, microservices, APIs and data workflows using Node.js, TypeScript and Python running on serverless functions and containers. Take advantage of modern Event-Driven Architecture (EDA) and Pub/Sub Pattern to drive innovation, decoupling and quick iteration.
Logging & Observability
End-to-end monitoring and logging on AWS with Amazon CloudWatch. Industry-standard Cloud Native observability and tracing with Prometheus, Grafana and OpenTelemetry. Application log indexing, search and analytics with Elasticsearch or Amazon OpenSearch. Alerts delivered via Slack, MS Teams and e-mail
Workload & Cost Optimization
Tune and right-size your application, database and analytics workloads for optimal cost, performance, scaling and resilience. Take advantage of better price/performance ratio for your managed workloads by adopting Arm-based architecture. Maximize use of Spot instances and containers, Reserved Instances/Savings Plans and Committed Use Discounts.
GitOps for Kubernetes
Continuous Deployment and Multi-Cluster GitOps delivery to Amazon EKS and Google Kubernetes Engine (GKE) with Argo CD or Spinnaker. Kubernetes-native configuration management with Helm Charts. Node lifecycle management with Karpenter. Progressive delivery with Argo Rollouts. API and microservices ingress with Envoy Gateway and service mesh with Istio.
GPU Workloads, LLM and AI/ML
Design and deploy NVIDIA GPU and CUDA accelerated-workloads on Amazon EKS and GKE. Take advantage of ML training, inference and MLOPs on Amazon SageMaker. Innovate with Gen AI, LLM and RAG on AWS and GCP using services such as Amazon Bedrock or Google Vertex AI and Gemini.
Cloud Migrations & Hybrid-Cloud
Migrate your on-premises application workloads, databases and data to AWS or GCP using Lift and Shift methodologies. Enable Hybrid-Cloud network connectivity and server fleet management between on-premises workloads and those on the cloud. Modernize to containers and serverless afterwards.
AWS + GCP Multi-Cloud
Implement private multicloud networking and security with HA VPN connectivity and Workload Identity Federation (WIF) between AWS and Google Cloud. Integrate Google BigQuery with AWS services using Amazon AppFlow and Lambda. Sync and share data between Amazon S3 and GCS using AWS DataSync and Lambda.
Take advantage of the latest top offerings from Amazon Web Services and Google Cloud
In order to derive the maximum ROI from your cloud investment, you need a Cloud Managed Services provider who truly understands your business needs and technology challenges so that your cloud adoption and modernization journey can be designed and continually refined in a way that generates on-going strategic business value for your company and projects. Smallfries Digital is your trusted partner in that journey.
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Containers
Containerization helps organizations focus on their core business objectives, leading to greater potential revenue gains. Container adoption also strongly impacts the portability of applications between cloud vendors. For instance, portability of apps is increased by 45% when using Containers. In addition, increased portability allows companies to be more flexible in deployment and reduces vendor lock-in. Organizations that use Containers experience a 40% reduction in downtime. Containerization features like granular access permission to isolated microservices, policy automation, and standardization drive increased compliance and more stable products. The usage of Containers also correlates with greater usage of agile methodologies. Using Containers increased the number of mission-critical applications developed and maintained using agile methodologies by 36%. Data suggests that supporting agile and DevOps efforts through technology such as Containers can improve productivity.
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Serverless
The use of Serverless architecture helps organizations be more productive and reduce costs. Serverless enables organizations to deploy features more quickly, release new builds more frequently, and drive higher levels of cloud-native deployment. Serverless organizations can better match their infrastructure to the demands of their applications and workloads using automatic scaling and reduce overprovisioning of compute resources that sit unused. This results in a 23% improvement in compute utilization, translating into direct cost savings for these organizations. The efficiency inherent in Serverless, such as pay-for-use billing that avoids overprovisioning, leads to cost savings for organizations. Organizations using Serverless report spending 39% less on IT infrastructure. This can represent millions of dollars in savings depending on the size of the organization. Organizations that have implemented Serverless report converting monolithic applications to cloud-native applications 22% faster.
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Managed Data
Managed Data is a fully managed, purpose-built database service. The service supports diverse data models and allows organizations to build use case driven, highly scalable, and distributed applications. Examples of Managed Data services include Amazon RDS, Aurora, DocumentDB, Redshift, Google Cloud SQL, BigQuery and MongoDB Atlas. Organizations using Managed Data report an increase in the number of applications built using cloud-native architecture by 71%. Having more data for insights, faster time to insights, and more cloudnative apps drive a 28% increase in revenue for organizations using Managed Data solutions. Managed Data not only allows organizations to make the most out of their data but enables business growth in the form of agility due to far greater accessibility, integration, and utilization of data.
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