AWS FeedRunning cost optimized Spark workloads on Kubernetes using EC2 Spot Instances This post is written by Kinnar Sen, Senior Solutions Architect, EC2 Spot Apache Spark is an open-source, distributed processing system used for big data workloads. It provides API operations to perform multiple tasks such as streaming, extract transform load (ETL), query, machine learning (ML),…
AWS FeedAWS Shield Advanced now provides mitigation metrics and network traffic timelines The AWS Shield Advanced dashboard now displays additional mitigation metrics and network traffic timeline details for events detected on protected resources. This also includes details about the actions automatically taken to mitigate DDoS attacks. You can use this information to more easily evaluate…
Whether you’re a new student, thriving startup, or the largest enterprise, you have financial constraints, and you need to know what you’re spending, where, and how to plan for the future. Nobody wants a surprise when it comes to the bill, and this is where Azure Cost Management and Billing comes in. We’re always looking…
As businesses move more workstreams to the cloud, business continuity and data protection have never been more critical—and perhaps their importance has never been more visible than during the challenges and unpredictability of 2020. To continue our commitment to supporting stability and resiliency in the cloud, Microsoft is announcing the general availability of Azure Availability…
Real-time streaming is a business imperative for digital transformation Customers are undergoing rapid transformations to stay competitive in an increasingly digital world with cloud design patterns and event streaming playing critical roles in their success. They depend on real-time event streaming and data processing to simplify, automate, and combine real-time results with the historical data…
SLA for Azure AD is increasing the up-time commitment to 99.99% for Azure AD Premium customers to support the need for an Identity service with high resilience and low interruptions.