Welcome to above the clouds
AWS – Amazon AppFlow is now available in the AWS Africa (Cape Town) Region
Amazon AppFlow, a fully managed integration service that helps customers securely transfer data between AWS services and cloud applications, is now available in the AWS Africa (Cape Town) Region. With AppFlow, you can run data flows at enterprise scale between Software-as-a-Service (SaaS) applications like Salesforce, SAP, Zendesk, Slack, and ServiceNow, and AWS services like Amazon […]
GCP – Trying out source-based deployment in Cloud Run
Until recently, this is how you deployed code to Cloud Run: Define your container-based app with a Dockerfile. Build the container image and push it to the Container Registry (typically with Cloud Build). Deploy the container image to Cloud Run. Back in December, we announced the beta release of source-based deployments for Cloud Run. This […]
AWS – Introducing the AWS Networking Competency for Consulting Partners
Today, we announced the AWS Networking Competency for Consulting Partners. These partners have deep domain expertise in developing a consistent network and security policy, as well as solutions that offer a new way of routing traffic through private backbones and cloud cores. AWS Networking Competency Consulting Partners can help customers provide secure ingresses and convenient on-ramps […]
Azure – OCR (Read) supports 122 languages in the Cognitive Services Computer Vision public preview
Computer Vision Read API for Optical Character Recognition (OCR), part of Cognitive Services, announces its public preview with new languages including Russian, Bulgarian, other Cyrillic and more Latin languages. This release also highlight handwritten OCR support for many languages, along with enhancements for digital PDFs and Machine Readable Zone (MRZ) text in identity documents. Read […]
GCP – Supercharge your Google Cloud workloads with up-to-date best practices from Architecture Framework
Architecture Framework helps customers utilize a set of canonical best practices to design and build workloads on Google Cloud that are secure, reliable, and scalable, while applying cost and performance optimization techniques. The Architecture Framework is organized into 6 pillars. System design considerations cover foundational building blocks such Compute, Storage, and Database, expanding best practices […]
GCP – Cloud Data Loss Prevention is now automatic!
Data is one of your most valuable assets; understanding and using data effectively powers your business. However, it can also be a source of privacy, security, and compliance risk. The data discovery and classification capabilities of Cloud Data Loss Prevention (DLP) have helped many Google Cloud customers identify where sensitive data resides. However, data growth […]
GCP – Google Cloud Monitoring 101: Understanding metric types
Whether you are moving your applications to the cloud or modernizing them using Kubernetes, observing cloud-based workloads is more challenging than observing traditional deployments. When monitoring on-prem monoliths, operations teams had full visibility over the entire stack and full control over how/what telemetry data is collected (from infrastructure to platform to application data). In cloud-based […]
GCP – Here’s what you missed at Next ’21
Google Cloud Next ‘21 is over, but the learning is just beginning. With three days of keynotes, deep dives, and announcements, there was a lot to take in! But don’t worry if you missed something—the Google Cloud Blog team is here to round up our favorite announcements of Next ‘21. The biggest announcements You can […]
GCP – Best practices for securing your applications and APIs using Apigee
Enterprises across the globe are seeing surging demand for digital experiences from their customers, employees, and partners. For many of these enterprises, hundreds of business applications are hosted in private or public clouds that interact with their users (customers, partners, and employees) spread across geographies, channels (web, mobile, APIs, VPNs, and cloud services), and time […]
GCP – Spark on Google Cloud: Serverless Spark jobs made seamless for all data users
Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job. Also, end to end use cases require Spark to be used along with technologies like TensorFlow, and […]