AWS DataOps is 24×7 expertise and automation for CloudOps, Data Pipelines, and Machine Learning. A Cloud 2.0 approach means we modernize how you build. You’ll iterate faster and deploy more into production.
AWS DataOps Managed Services helps you support and grow the centralized, hydrated, and reliable data platform and pipelines you need to support your analytics and machine learning (ML) initiatives while taking full advantage of the AWS platform — with 24×7 monitoring, management, enhancements, and system administration.
Certified AWS experts build, run, and manage every part of your AWS analytics environments using cloud-native automation and best practices.
Unified management of security policies and information architectures for cloud-native data frameworks like Kinesis, Redshift, S3, Dynamo, and more.
Support for certified pipelines to ensure data is available, integrated, and verifiable.
Intelligent monitoring and management of MLOps pipelines using Sagemaker, EMR.
Cloud 2.0 Gives You The Power
The cloud is a vast opportunity for innovation and speed. Yet most of the large companies we see inadvertently choose “Cloud 1.0.” These lift-and-shift approaches are slower and more expensive. phData Cloud DataOps guides customers toward accessible and practical cloud-native approaches.
Iterate faster to deliver features and products to customers more quickly.
Scale dynamically and automatically to meet user needs while reducing overhead.
Deliver stability using self-healing and fault tolerance.
Reduce the cost of experimentation to increase innovation.
Cloud 2.0 Means Automation
Our software is the formalization of our experience and patterns for cloud-native success. We build software to help our customers deliver stable Cloud 2.0 data platforms and data products within weeks, not years.
Build your cloud infrastructure using our library of reusable, battle-tested infrastructure code. Cloud Foundation takes control of building infrastructure seamlessly while eliminating errors and manual intervention.
Our experts are on-hand to support your data analytics and ML models 24×7 — with proactive monitoring, incident response, and help desk for analytics users — so your dev teams are freed to focus on what they do best.
Be confident in your AWS platform’s long-term ability to support future data products and revenue-generating ML initiatives. We set up automated alerts, log management, and security monitoring and auditing to help prevent issues before they occur.
Faster, more cost-effective support
By relying on a more experienced team with specialized expertise across AWS and leading data and ML technologies, our customers report experiencing both better, faster service and lower costs. Additionally, our fixed-price model offers predictable costs while incentivizing our teams to deliver with the speed, efficiency, and reliability you expect.
Why phData Managed Services for AWS?
Overcoming the complexity gap
General systems integrators tend to learn core ecosystem technologies on the fly — leading to prolonged incident response time and root-cause analysis that’s out-of-line with platform best practices.
The AWS ecosystem comprises a huge spectrum of services and supports a diverse set of technologies; our SMEs bring you deep knowledge around all of them. Unlike most small, in-house teams, our robust corps of admins are ready and able to deliver incident response 24x7.
Vigilance around security
When it comes to data, tiny mistakes can have enormous consequences. phData’s processes around security and governance are used by the world’s largest companies to keep their data secure and out of the news.
We understand enterprise-grade security on AWS. Our processes for alert configuration, monitoring, and security auditing are fully aligned with enterprise-tested standards and best practices.
A services + software approach
We’ve developed both deep expertise around AWS best-practices and use case scenarios, and an arsenal of automation patterns, tooling, and open-source software based on that experience — which helps predict user and platform issues, seamlessly rollout capabilities, and quickly onboard new users.
Monitored, managed pipelines minimize issues with late, missing, or incorrect data, and automation provides proactive alerts for when data frameworks are being used improperly or for scenarios likely to cause performance issues.
Ready to learn more about AWS DataOps Managed Services from phData? Let's chat.