
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
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HPE Serviceguard
HPE Serviceguard for Linux (SGLX) is a clustering solution focused on high availability (HA) and disaster recovery (DR) that aims to ensure maximum uptime for essential Linux workloads, whether they are deployed on-premises, in virtualized setups, or across hybrid and public cloud environments. It consistently tracks the performance of applications, services, databases, servers, networks, storage, and processes; when it identifies issues, it rapidly initiates automated failover, typically within four seconds, all while maintaining data integrity. SGLX accommodates both shared-storage and shared-nothing architectures through its Flex Storage add-on, which allows for the provision of highly available services like SAP HANA and NFS in situations where SAN is not an option. The E5 edition, which is solely focused on HA, offers zero-RPO application failover alongside comprehensive monitoring and a user-friendly workload-centric graphical interface. In contrast, the E7 edition that combines HA and DR features introduces capabilities such as multi-target replication, automated recovery with a simple button press, rehearsals for disaster recovery, and the flexibility for workload mobility between on-premises systems and the cloud, thereby enhancing operational resilience. This versatility makes SGLX a valuable asset for businesses aiming to maintain continuous service availability in the face of potential disruptions.
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ScaleGrid
ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported:
- MySQL
- PostgreSQL
- Redis™.
- MongoDB®, database
- Greenplum™ (coming soon)
ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.
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