Last month today: February in Google Cloud

February on Google Cloud brought a bevy of news and tips, covering cloud migrations, hardware, certifications and more. Here’s what was most popular last month. New tools, use cases in cloudHedera’s Hashgraph is a public distributed ledger technology (DLT) optimized for high volume transactions. In a fast-moving industry, Hedera developed a DLT designed to bring fast, inexpensive transactions for enterprise use. To do so, the company uses Google Cloud’s premium network tier, our low-latency global fiber network. Developers can then build decentralized apps on Hedera. Last month, Hedera chose Google Cloud as a preferred cloud provider for its public testnets and Hedera Consensus Service ecosystem. Google Cloud’s acquisition of Looker became final last month, as we join together to bring customers a comprehensive analytics solution that integrates and visualizes insights at every layer of their business. Google Cloud and Looker together can help address the data analytics and business intelligence of enterprises. In addition, Google Cloud and Looker share a common philosophy around delivering open solutions and supporting customers wherever they are—be it on Google Cloud, in other public clouds, or on-premises. A new addition to our general purpose VMs became available last month: The N2D family, built atop 2nd Gen AMD EPYC™ Processors, are a great option for both general-purpose workloads and those that need high memory bandwidth. Workloads that need a balance of compute and memory, like web apps and databases, can benefit from the performance, price, and features of N2D.Cloud school is in sessionThe Data Engineering on Google Cloud learning path is newly updated, reflecting the need for deeper training and skills in this evolving discipline. You’ll find new course content including introductions to Data Fusion and Cloud Composer, plus more labs on BigQuery and Bigtable streaming. Other courses round out this new path, which covers the primary responsibilities of a data engineer.Supporting systems betterThough there’s a trend toward microservices these days, plenty of businesses still run monolithic—single-tiered—software applications that they need to maintain. Google’s site reliability engineering (SRE) team offered tips on scaling these apps and maintaining their reliability for users. You’ll find notes on typical challenges, plus some common best practices to keep in mind.There are also still plenty of mainframe systems running these days. Google Cloud acquired Cornerstone Technology last month to better help customers migrate those workloads. Mainframe architectures have helped companies run mission-critical workloads for decades, but they can hold developers back from using new technologies to innovate. Cornerstone’s experience and capabilities can make the mainframe-to-Google Cloud move easier.That’s a wrap for February. Till next time, stay up to date on our Twitter feed.
Quelle: Google Cloud Platform