AWS Partner Network (APN) Blog
Deploying AI solutions with ML models into production introduces new challenges. Machine Learning Operations (MLOps) has been evolving rapidly as the industry learns to marry new ML technologies and practices with incumbent software delivery systems and processes. WordStream is a SaaS company using ML capabilities to help small and mid-sized businesses get the most out of their online advertising. Learn how Slalom developed ML architecture to help WordStream productionize their machine learning efforts.
Re-platforming is a popular mainframe modernization approach because it’s flexible and transparent to the user. Learn about the phased migration approach Infosys uses for re-platforming mainframe applications. We’ll provide an overview of each step and the corresponding Infosys tools and accelerators we use to ensure successful mainframe migrations, including Micro Focus Enterprise Server (MF-ES).
For many organizations, the amount of data they own and manage is growing at a very high rate, but so is the number of applications they’re responsible for. This growth, coupled with the heterogeneity of technology infrastructure, makes managing IT systems and applications more complex. Veritas solutions, including Veritas Cloud Mobility, help enterprises address information management challenges including backup and recovery, business continuity, software-defined storage, and information governance.
Data is the lifeblood of a digital business and a key competitive advantage for many companies holding large amounts of data in multiple cloud regions. Imperva protects web applications and data assets, and in this post we examine how you can use SQL to analyze big data directly, or to pre-process the data for further analysis by machine learning. You’ll also learn about the benefits and limitations of using SQL, and see examples of clustering and data extraction.
The AWS Lambda Ready Program, part of the AWS Service Ready Program, makes it easy for customers to find developer tools and integrations that are validated by AWS serverless experts to work with AWS Lambda. Customers use AWS Lambda to focus on product innovation while enjoying faster time-to-market, without thinking about server management. With AWS Lambda, you can simply upload and run code with high availability and fault tolerance built in, paying only for the compute time you consume.
Amazon CloudWatch Synthetics monitors RESTful APIs, URLs, and website content endpoints via synthetic traffic. Dynatrace also offers powerful, integrated synthetic capabilities, but if you use both CloudWatch and Dynatrace you have to switch between their consoles to check status. Now, you can integrate CloudWatch Synthetics into Dynatrace and check for unexpected behavior across both platforms from a single dashboard in your Dynatrace account.
The move to primarily cloud-based operations has pushed enterprises to prioritize digital security mechanisms and regulatory compliance controls to safeguard weaknesses and reduce effects of an attack. TCS Cloud Exponence is a multi-cloud operations solution with a focus on a range of critical security operations such as cloud perimeter monitoring, patch management, vulnerability assessment, compliance monitoring, alerting, and reporting.
The amount and variety of existing and newly-generated data in today’s connected world is unparalleled. As this growth continues, so does the opportunity for organizations to extract real value from their data. Teradata Vantage is a modern analytics platform that combines open source and commercial analytic technologies. It can drive autonomous decision-making by helping you to operationalize insights, solve complex business problems, and enable descriptive, predictive, and prescriptive analytics.
Learn how Mactores helped Seagate Technology to use Apache Hive on Apache Spark for queries larger than 10TB, combined with the use of transient Amazon EMR clusters leveraging Amazon EC2 Spot Instances. It was imperative for Seagate to have systems in place to ensure the cost of collecting, storing, and processing data did not exceed their ROI. Moving to Hive on Spark enabled Seagate to continue processing petabytes of data at scale with significantly lower TCO.
Amazon EC2 Spot Instances let you reduce costs by taking advantage of unused capacity. You can further reduce costs by using the policy-based automation in Qubole Data Platform to balance performance, cost, and SLA requirements anytime you use Spot Instances. Learn how the Qubole Data Platform optimizes your Spot usage, and how it applies policy-based automation to balance your performance, cost, and SLAs whenever you use Amazon EC2 Spot Instances.