Unlock the true potential of generative AI without writing a single line of code with Amazon Bedrock. This groundbreaking, fully managed service is revolutionizing AI development, making it accessible to all. Ready to transform your applications? Let’s dive in.
In the ever-evolving landscape of modern business operations, the seamless integration of data is a main factor for organizations aiming to get insights from diverse sources for analytical, artificial intelligence (AI), and machine learning (ML) workloads. Traditionally, the Extract, Transform, Load (ETL) process has been the cornerstone for preparing and consolidating data into a centralized repository. However, the challenges, complexities, and delays associated with traditional ETL have paved the way for innovative solutions, such as Zero-ETL, designed to streamline these critical processes.
Lambda@Edge is a powerful tool for optimizing application behavior. Here are some examples of using Lambda@Edge:
Serve Static Content: Use Lambda@Edge to serve static website content, reducing load on the origin server and latency.
Redirect Viewer Requests: Generate an HTTP redirect response with a country-specific URL, useful for providing country-specific responses.
Add a Header Based on a Query String Parameter: Illustrates adding a header based on a query string parameter.
Modify an HTML Form: Demonstrates modifying the body of a POST request generated by an HTML form using a CloudFront trigger.
The landing zone concept can be very confusing to people who are starting new with the cloud, you are not sure if this a service or a concept.Imagine constructing a skyscraper. The foundation is not just the start but the core that dictates the building’s strength and future growth. In the digital cloud landscape, this foundation is mirrored by Landing Zones. Dive into my latest article where I decode this essential but often misunderstood concept.
SHARE THE BLOG Facebook Twitter LinkedIn Email WhatsApp Introduction Imagine harnessing the power of GPT-powered natural language to seamlessly investigate and respond to the ever-evolving
AWS DataSync is a service that can be used to transfer files between different storage services, including NFS and Amazon S3. This runbook provides a high-level overview of transferring files from NFS to S3 using AWS DataSync, and additional configurations and optimizations may be required based on specific use cases and requirements.
In this article, we will provide a detailed guide on configuring the streaming of RDS audit logs to Amazon Redshift using the Amazon Kinesis Data Firehose. This integration empowers organisations to centralise and analyse their RDS audit logs, enabling proactive monitoring, compliance adherence, and security threat detection.
Today IT faces growing obstacles in two key areas: data protection and continuous service availability.
In this blog, we will have a closer look at “Multi-Availability Zone”, a new option we now see in the portal when creating a new virtual machine.
In this article, we will closely examine how Microsoft Defender, a security model that quickly adapts to the reality of the world we live in, allows all organizations and governmental entities to appropriately secure their environments whether they are on Azure or on-premises. We will also demonstrate how to leverage the cloud security posture management feature in Microsoft Defender to ensure maintaining a proper security posture and being compliant with various regulatory compliance such as FedRAMP, CMMC, and CIS.
Kubernetes backup refers to the process of creating a copy of the Kubernetes resources and data to protect against data loss and to ensure business continuity. Backing up Kubernetes resources, such as deployments, statefulsets, and services, is critical to ensure that your applications can be quickly restored in case of a catastrophic failure.
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