Google Announced Lifting of 3 Limits within Cloud Monitoring

Google has announced the lifting of three limits within Cloud Monitoring, a rich collection of tools that provide you visibility into the performance, availability, and health of your applications and infrastructure. With this, the number of projects you can view together has now increased from 100 to 375. If you have 375 or fewer projects, you can view all their metrics at once, by putting all your projects within a single workspace, a tool for monitoring resources contained in one or more Google Cloud projects or AWS accounts. Secondly, Google has also increased the limit for custom metric descriptors or metric descriptors defined by the user within Cloud Monitoring. The maximum number of custom metric descriptors within custom.googleapis.com is now 2,000, up from 500.

Ternary closes its first round of funding and launches Cost Management Tool for Google Cloud Platform (GCP)

Ternary, the first native FinOps Cloud Cost Management (CCM) tool built for Google Cloud Platform (GCP), raises $1.6 Million in initial funding led by Greycroft, Oceans Ventures, Operator Partners, Great Oaks Venture Capital and Correlation Ventures with participation from key industry angels. Ternary creates tools at the intersection of Finance and Engineering with features based on FinOps principles. FinOps is the operating model for managing the variable spend of cloud: a combination of systems, best practices and culture that ensures companies get the most value out of every cloud dollar spent.

Databricks rounded out its public cloud support with the launch of Databricks on Google Cloud Platform (GCP)

Databricks rounded out its public cloud support with the launch of Databricks on Google Cloud Platform (GCP) with integrations to Google’s BigQuery and AI Platform. The extension secures the trifecta of major public cloud platforms included within Databricks’ offerings. The GCP extension allows Databricks customers to utilize the management, security, and login capabilities of GCP, and access GCP analytics within Databricks. It also allows Databricks to integrate with Google BigQuery’s open platform and leverage Google Kubernetes Engine (GKE), giving Databricks customers the ability to deploy in a containerized cloud environment for the first time.

With Databricks available on Google Cloud, customers can create “Data Lakehouses”

Databricks’ Unified Data Platform will be available on the Google Cloud Platform beginning in April, the two companies said Wednesday, completing a trifecta for Databricks whose software already runs on the Amazon Web Services and Microsoft Azure cloud platforms. With Databricks available on Google Cloud, customers can create “data lakehouses” – a combination of data lake and data warehouse systems that Databricks has been promoting – for a range of business analytics, data engineering, data science and machine learning tasks.

IT leaders are eight times more likely to search for experts with AWS skills than Google Cloud Platform or Microsoft Azure

IT leaders are eight times more likely to search for experts with AWS skills than Google Cloud Platform or Microsoft Azure, according to data from Hired’s State of Software Engineers 2021 report, published Wednesday. The report examined thousands of candidate interview requests and salary data. Redux.js, Google Cloud, React.js and AWS skills top the list of most in-demand coding skills, according to the report. Demand for cloud skills grew as most companies turned to the cloud to uphold operations. Nine in 10 organizations say they increased their cloud workloads and use of machine learning technologies in 2020.

SoftServe has achieved the Document AI Expertise in the Google Cloud Partner Advantage Program

SoftServe, a leading digital authority and consulting company and Google Cloud Premier Partner has achieved the Document AI Expertise in the Google Cloud Partner Advantage Program. This Expertise reinforces SoftServe’s technical experience in revealing insights from text data and documents using artificial intelligence (AI) and machine learning (ML).

Running your VMware-based apps on Google Cloud enables you to quickly scale and meet customers’ evolving needs

To support their applications’ complex needs, organizations are moving to the public cloud to achieve greater scale and agility, lower TCO, and develop new cloud-native services and applications to support their customers. Google Cloud VMware Engine allows organizations to accelerate their cloud journey by providing a seamless pathway for mission-critical workloads that run on VMware on-premises to the public cloud. Google Cloud VMware Engine runs on a fully managed, native VMware Cloud Foundation software stack allowing customers to leverage existing expertise with VMware technologies without the hassles of learning new skills or utilizing new tools. With the same architecture and operational experience on-premises and in the cloud, IT teams can quickly derive business value, develop new applications, and unlock new capabilities and insights from their data by connecting to native Google Cloud Platform services.

Image Search Service for Retailers, Google Cloud has Made Generally available 2 Search Functions that rely on Machine Learning Techniques

Google’s Google Cloud division today announced it has made generally available two search functions that rely on machine learning techniques to help retailers who use its cloud service. The vision search function will let a retailer’s customers submit a picture and received ranked results of products that match the picture in either appearance or semantic similarity to the object. Called Vision API product search and Recommendations AI, the two services are part of what Google has unveiled as a suit of functions called Product Discovery Solutions for Retail.

AWS Leads GCP & Azure on Latency & Cost, but lags on Performance, according to a New Benchmarking Report by Cockroach Labs

AWS leads GCP and Azure on latency and cost, but lags on performance, according to a new benchmarking report. Distributed SQL database firm Cockroach Labs’ third annual report looking into cloud performance of AWS, Microsoft Azure, and Google Cloud Platform (GCP) and runs benchmark tests against CPU Performance, Network Performance, Storage I/O Performance, and Online Transactional Processing (OLTP) Performance. The report found that GCP delivered the most throughput on network throughput, storage I/O read throughput, storage I/O write throughput, and maximum throughput per minute. GCP’s top-performing machine had 165 percent and 237 percent more throughput than AWS and Azure respectively, while its bottom-performing network throughput machine still performed 62 percent and 105 percent better than AWS’ and Azure’s top-performing network throughput machines.

Google Cloud Announced Elevation of Karan Bajwa as its New Leader for Asia Pacific

Google Cloud on Tuesday announced the elevation of Karan Bajwa as its new leader for Asia Pacific. He currently leads Google Cloud in India. Bajwa will lead all regional revenue and go-to-market operations for Google Cloud, including on Google Cloud Platform (GCP) and Google Workspace from January 5, 2021, a statement said. Bajwa continues to lead Google Cloud in India until a new senior leader for the business is appointed and will report to Rob Enslin, President of Sales, Google Cloud.

A true test of 2021 will be how companies replatform and build on the cloud not only for resilience but agility and innovation – Karan Bajwa, Google Cloud

With the disruptions of 2020 behind us, a true test of 2021 will be how companies replatform and build on the cloud not only for resilience but agility and innovation, and I’m excited for the opportunity to lead Google Cloud’s business in APAC to maximize this next phase of growth.

Highmark Health Entered into Strategic Partnership with Google Cloud

Highmark Health, the parent company of Pittsburgh-based Allegheny Health Network, entered into a strategic partnership with Google Cloud for its technology-driven healthcare model, Living Health. The partnership will develop a secure and scalable platform on Google Cloud and apply advanced analytic and artificial intelligence capabilities to Highmark’s clinical and technology capabilities. Highmark aims to further digitally engage patients to proactively manage their own health and develop personalized health plans with Living Health.

Tapestry Migrating Cloud based SAP S/4 HANA ERP Solution it installed in Fall 2019 to Google Cloud

Tapestry migrating the cloud-based SAP S/4 HANA ERP solution it installed in fall 2019 to Google Cloud. Tapestry, the parent company of Coach New York, Kate Spade, and Stuart Weitzman, is migrating the cloud-based SAP S/4 HANA ERP solution it installed in fall 2019 to Google Cloud. The luxury retailer hopes to modernize its IT infrastructure and increase overall operational efficiency. This step is part of a broader corporate acceleration initiative that includes sharpened consumer focus, a digital-first mindset, and transforming into a leaner, more responsive organization. The luxury retailer hopes to modernize its IT infrastructure and increase overall operational efficiency.