In today’s digital world, where data is considered the new oil, organizations are consistently looking for efficient ways to store and manage their invaluable information assets. Microsoft’s Azure Files and Windows Server are two technologies at the forefront of this technological evolution.
In today’s world, with Large tech giants and businesses looking forward to moving toward serverless architecture, there has been a significant demand for scaling the applications. It’s therefore no surprise that millions of companies worldwide have adopted, or are planning on migrating to a Kubernetes and AWS Lambda solution to take their serverless applications to the next level.
Microsoft Azure is one of the most comprehensive and broadly adopted cloud service providers in the industry, offering over 200 fully featured services from data centers globally. A wide spectrum of organizations across all verticals use Azure – to lower costs, become more agile and innovate faster. Tight integrations with the Microsoft ecosystem and product portfolio make Azure highly attractive to many.
With Platform.sh, every Git branch maps to a preview environment which is an exact and isolated copy of your live application—including all data, services, and files. They are usually created to build new features, apply security patches, or upgrade dependencies in full isolation and before deploying to production. Although there is a catch—preview environments are often left idle waiting for someone to review and approve any changes made.
One of the first considerations for FinOps teams trying to lower their public cloud spend is investing in long-term savings vehicles available from their Cloud Service Provider. These programs can provide customers with upwards of 72% savings off on-demand prices, in return for a 1-to-3-year usage commitment, so it’s pretty common that we see them in use by our customers.
AWS Systems Manager (SSM), an end-to-end management solution for AWS resources, provides a marketplace of pre-packaged software scripts for SSM-managed Windows and Linux instances, enabling AWS users to automatically install custom software on large groups of instances.
Application performance monitoring (APM) is much more than capturing and tracking errors and stack traces. Today’s cloud-based businesses deploy applications across various regions and even cloud providers. So, harnessing the power of metadata provided by the Elastic APM agents becomes more critical. Leveraging the metadata, including crucial information like cloud region, provider, and machine type, allows us to track costs across the application stack.