What is serverless data engineering and modernization?

Serverless data engineering and modernization is the process of using serverless technologies to collect, transform, and prepare data for analysis and decision-making. It involves creating scalable data pipelines, integrating data, managing data storage, and ensuring data quality on platforms like Databricks, SnowFlake and AWS, without the need for server management.

How can serverless data engineering benefit my organization?

Serverless data engineering offers scalability to handle large volumes of data, reduces operational overhead, and optimizes costs through pay-per-use pricing models. It improves development agility and integrates seamlessly with cloud-native data services, allowing organizations to focus on deriving insights rather than managing infrastructure.

What are some common use cases for serverless data engineering?

Serverless data engineering is ideal for real-time data processing, stream processing, batch processing, data warehousing, data lakes, and ETL (Extract, Transform, Load) workflows. It's particularly useful for handling fluctuating workloads, processing high-velocity data streams, and building data pipelines that require scalability and agility.

Which cloud platforms do you support for serverless data engineering?

We specialize in serverless data engineering and modernization on leading data platforms like Databricks, Snowflake and cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). We leverage their serverless data services, including AWS Lambda, Azure Functions, Google Cloud Functions, and managed data processing services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow, BigQuery.

How do you ensure data security and compliance in serverless data engineering?

We prioritize data security and compliance in serverless data engineering. We implement robust security measures such as data encryption, access controls, identity and access management, and compliance frameworks. Our team ensures your data remains secure throughout the data engineering and modernization process.

Can you migrate existing data pipelines to a serverless architecture?

Yes, we can help migrate your existing data pipelines to a serverless architecture. Our team evaluates your current data pipelines, identifies components suitable for serverless migration, and designs a migration plan to effectively leverage serverless technologies. We ensure minimal disruption during the migration process while optimizing scalability and cost-efficiency.

How do you handle data integration and data quality in serverless data engineering?

We employ various techniques such as data ingestion, transformation, and validation to ensure high-quality data. We leverage serverless data integration services and frameworks to seamlessly integrate data from multiple sources and maintain data integrity throughout the process.

Can you help with real-time data processing and analytics using serverless architecture?

Absolutely. Serverless architecture is well-suited for real-time data processing and analytics. We design and implement serverless data pipelines that leverage real-time streaming platforms and services such as Apache Kafka, AWS Kinesis, Azure Event Hubs, and Google Cloud Pub/Sub. This allows for efficient real-time data ingestion, processing, and analysis.

What tools and technologies do you use for serverless data engineering?

We utilize a wide range of tools and technologies for serverless data engineering, including serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions, as well as serverless data processing services such as AWS Glue, Azure Data Factory, and Google Cloud Dataflow. We also use Databricks and SnowFlake for unified data analytics.

Can you provide ongoing support and maintenance for serverless data engineering solutions?

Yes, we offer ongoing support and maintenance services for serverless data engineering solutions. We provide monitoring, troubleshooting, performance optimization, and feature enhancements to ensure the continued smooth operation of your data pipelines. Our team is available to address any issues or concerns and help you maximize the value of your serverless data engineering investment.

Data Engineering and Modernization

Navigate With Better Data

Integrate data-driven decision-making into your business. Leverage modern and serverless data platforms to make the most of your data and navigate to the future.

Our Solutions

Serverless-Native Approach

Our expertise empowers you to embrace the serverless-native approach, which reduces your operational cost and overhead by 83%. It also increases agility to transform the data and gain insights.

Modernization

We transform your enterprise's old, unstructured data with modern serverless platforms. We build insights and analytical dashboards to help your business be more predictable.

Devops And Agility

Data is monolithic in nature. We implement agile processes and industry best practices like source control, CI/CD, and code quality checks to bring you visibility.

Diverse Experience

From enterprise platforms like TalenD, Salesforce, and Couchbase to OpenSearch, we help you make more sense of the data.

Industry experience

With us, comes our extensive experience serving a diverse range of clients, from major pharmaceutical companies to logistics providers.

Core Concepts

Our data engineering solution encompasses key concepts such as Democratization of Data, enabling users across an organization to access and analyze data easily. Datalakes/Lakehouse Patterns provide scalable storage solutions, while AI/ML Enablement focuses on building workflows and pipelines to leverage machine learning insights. Datamesh Delivery Methodology ensures decentralized, efficient data management.

Democratization Of Data

Datalakes/Lakehouse Pattern

Enabling AI/ML Usage

Datamesh Delivery Methodology

Rodric Rabbah

Head of Product, Postman Flows

“We collaborated with AntStack to develop API workflow examples that showcase the ease and efficiency of using Postman Flows for creating modern business applications. Their expertise in serverless computing matched our goals. AntStack maintained excellent communication throughout the project, and offered insightful feedback on the product user experience. They consistently delivered on agreed commitments, making them a reliable partner.”

Michael Kabella

Sr. Director, Enterprise Data & Analytics

When we needed to deliver an innovative, life-saving project utilising the AWS serverless stack, AntStack was our go-to partner. AntStack has not been just a contractor or just a consultant, but rather their topflight engineers and architects have been a natural extension of our own team.I certainly look forward to continuing to partner with AntStack for our future endeavours.

Jody Brazil

CEO, Firemon

With the ready AWS development expertise, AntStack helped us turnkey the cloud native development without the wait to fully train up internal developers. We had a positive working experience, the folks are always supportive during challenging times. It is crucial to enable our MVP rollouts and the overall digital transformation.

Chris Creel

Chief Technology Officer, Layr

“AntStack's partnership with Layr has been a catalyst for engineering success, transforming Layr's platform into a scalable and profitable powerhouse. Through innovation and collaboration, AntStack helped us accelerate the development of our new platform, enhanced security, and expedited compliance, marking a significant milestone in Layr's journey to create great experiences that empower our customers.”

Data Engineering and Modernization