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 and unoptimized cloud resources. Cloud Modernization and Optimization combined with Cloud Cost Intelligence and Security Analytics is your ticket to staying in the game and thriving in an ever more competitive, dynamic and complex tech ecosystem.

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Our Services

DevOps and CloudOps

All of your AWS and Google Cloud environments and resources in real code (TypeScript, Python, Go) using the following Cloud Development Kits: AWS CDK, CDKTF and cdk8s. 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 and more.

App & DB Modernization

Leverage Containers and Serverless to enhance business agility, developer productivity and operational efficiency. Modernize databases with Amazon Aurora, DynamoDB, MongoDB Atlas and Google Cloud AlloyDB. Migrate your Redis cache to Amazon ElastiCache or Google Cloud Memorystore. Take advantage of Data Warehousing 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 serverless containers. Take advantage of modern Event-Driven Architecture (EDA) and Pub/Sub Pattern to drive innovation, decoupling and quick iteration.

Logging & Observability

Metrics, logs and traces for all your services. Alerts delivered via Slack, MS Teams and e-mail. Industry-standard observability and tracing with Prometheus, Grafana and OpenTelemetry. Log indexing, search and analytics with Elasticsearch or Amazon OpenSearch.

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 workloads by adopting Arm-based architecture.


Continuous Deployment and Multi-Cluster GitOps delivery to Amazon EKS and Google Kubernetes Engine (GKE) with Argo CD, Spinnaker, or Flux CD. Kubernetes-native configuration management with Helm Charts and Kustomize. Progressive delivery with Argo Rollouts or Flagger.

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.

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. Sync and share data between Amazon S3 and GCS using AWS DataSync.

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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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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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 Aurora, Amazon DynamoDB, Amazon Redshift, Google Cloud AlloyDB for PostgreSQL, Google 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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get to know a whole new better cloud experience with us

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We look forward to seeing how we can help.

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