Cloud App Management, Cloud Deployment Models, AWS Management
Globenewswire | July 28, 2023
Lemongrass, a software-enabled services provider synonymous with SAP on Cloud, announces the latest release Lemongrass Cloud Platform (LCP) Migrate, an offering designed to help companies move SAP environments of any size to the hyperscale Cloud more securely and with near-zero downtime.
LCP is a governance, management and automation orchestration solution that optimizes the operations of SAP and its related workloads on hyperscale Clouds. Currently patent pending, LCP Migrate is the result of years of Lemongrass innovations to enhance and optimize SAP standard migration process to perform both homogeneous and heterogeneous migrations of very large databases to the Cloud with a guaranteed nearly zero technical downtime window. There are now over 750,000 users on SAP systems across leading global Cloud platforms managed by LCP.
A combination of software and services, LCP Migrate enables companies to seamlessly migrate double-digit or triple-digit terabyte SAP databases to Amazon Web Services, Google Cloud or Microsoft Azure with guaranteed limited downtime. Lemongrass works alongside their customers to govern costs, mitigate errors, review trends and report on the progress of their Cloud migrations.
“LCP Migrate is an evolution of Lemongrass Cloud Platform which allows clients to relocate their digital estate to their chosen hyperscale Cloud provider with near-zero downtime. Included in this latest update is a browser-based interface for Migrate Workbench with Ansible automation workflow, allowing customers to create, manage, and analyze their migration process from start to finish. Our clients are excited about LCP Migrate because it dramatically reduces the business downtime required to move a large volume of SAP data to the Cloud and minimize any disruption or issues,” said Kausik Chaudhuri, Chief Innovation Officer (CIO) at Lemongrass.
LCP Migrate has a wide variety of uses relevant to SAP customers. For example, a company could use LCP Migrate to move data from a legacy operating system, such as HP/UX or AIX, to a modern operating system running in the Cloud, or from an Oracle database to SAP HANA, with little downtime. Users could also change the application version while migrating to different operating systems and/or databases. In this capacity, users could, for example, migrate from SAP ECC 5 EHP 7 to EHP 8 or from ECC to SAP S/4HANA via LCP Migrate.
LCP Migrate is part of Lemongrass’s premium service offerings, which also includes Lemongrass’s patent pending MDO™ (Minimum Downtime Operations) service, reducing the downtime associated with operating SAP systems in the Cloud. By implementing MDO in SAP environments, users can reduce their planned downtime and associated costs while improving the security posture, performance and agility of mission-critical workloads.
“SAP downtime often results in significant cost due to lost production, increased labor and potentially even missed sales orders,” said Mike Rosenbloom, Chief Executive Officer for Lemongrass. “With LCP Migrate, we’ve seen technical downtimes in migrations reduced by up to 98% and delivered with a guaranteed downtime window. Users that have 150TB of data that could potentially take them weeks to migrate to a Cloud platform can reduce that time to just hours, and with fewer costs.”
Lemongrass is a software-enabled services provider, synonymous with SAP on Cloud, focused on delivering superior, highly automated Managed Services to Enterprise customers. With a unique combination of experience, expertise and best practices designed to deliver the desired outcomes from an SAP transformation, Lemongrass designs strategies and services that enable the economics, scale and agility of hyperscale computing while unlocking business innovation and controlling the risks and uncertainties. Lemongrass Cloud Platform (LCP) enables near-zero downtime migrations to Cloud and differentiated Managed Services for SAP and its related workloads. Our customers span multiple verticals and geographies across the Americas, EMEA and APAC and we partner with AWS, SAP, Microsoft, Google and other global technology leaders.
Cloud App Development, Cloud Security, Cloud App Management
Prnewswire | June 30, 2023
Gcore, an international cloud and edge solutions provider, has today announced the opening of its new AI Cloud cluster in Newport in Wales. Built with Graphcore's innovative IPUs, it provides even the smallest companies with access to enterprise-scale IT resources, democratising opportunities for AI development across the UK and Europe.
The opening of the new cluster in Newport marks the third point of presence (PoP) for Gcore's AI Cloud, which already has sites in the Netherlands and Luxembourg. The location was a strategic decision based on three key factors: the UK government's commitment to advancing and integrating AI technologies; the high internet penetration rates in the UK, and the country's position as one of the largest digital economies in the world.
"The opening of Gcore's AI Cloud cluster in Newport, in partnership with Graphcore, is an important step towards building one of the first European AI infrastructure. This move will enable businesses of all sizes to integrate innovations and easily access cutting-edge AI technology," commented Seva Vayner, Director of Edge Cloud stream at Gcore.
This new cluster represents an essential milestone for businesses looking to integrate AI innovations quickly and conveniently. The Infrastructure-as-a-Service (IaaS) model provides access to Graphcore's specialised AI hardware. On a pay-per-minute basis, companies of all sizes can now tap into hardware resources facilitated by processors offering superior price/performance compares to GPUs for a wide variety of AI applications, to accelerate their AI initiatives and developments. Now available will be hardware including Graphcore BOW-PODs, IPU-PODs, and BOW-vPODs. The Gcore AI Cloud also includes software tools and integrations such as PyTorch, Keras, TensorFlow, Hugging Face, Paddle, and ONNX to support ML and AI work.
With its new AI Cloud cluster launch in Newport, Gcore is continuing the expansion of its global cloud solutions. The company has built a strong presence in over 140 regions and has more than 20 cloud locations. Customers can access faster innovation by managing technical infrastructure, storage, security, and setup requirements using Gсore's wealth of services. From protected bare metal servers and virtual instances to cloud storage and specialised AI hardware, Gcore provides businesses of all sizes with cutting-edge technology to drive their developments forward.
Gcore is an international leader in public cloud and edge computing, content delivery, hosting, and security solutions. Gcore is headquartered in Luxembourg and has offices in Germany, Poland, Lithuania, Cyprus, and Georgia. Gcore manages its own global IT infrastructure across 6 continents. Its network consists of 140+ points of presence around the world in reliable Tier IV and Tier III datacentres. Andre Reitenbach has been the CEO at Gcore since 2014. gcore.com
Graphcore compute systems are accelerating the AI revolution. Powered by the groundbreaking Intelligence Processing Unit (IPU), Graphcore delivers leading-edge AI performance with unprecedented efficiency. IPUs in the cloud are used around the world by organisations building their intelligent compute capabilities,including AI-centric startups, large multi-national corporations and bothpublic and private research institutions. Graphcore is backed by some of the world's leading investors and has attracted more than $700m of funding. The company is based in Bristol, UK, with offices across Europe, Asia and North America. Graphcore.ai
Cloud Security, Cloud App Management, Cloud Infrastructure Management
Prnewswire | August 08, 2023
Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced 15 months of data retention for Cloud SIEM, with new detection and exploration capabilities so security teams can conduct historical investigations and uncover threats hidden within their cloud and IT environments.
Conducting investigations is time consuming as security teams are constantly importing and archiving older logs to long-term storage. These logs may be spread across multiple environments and geographies for compliance reasons and often must be re-indexed before an investigation can start. Customers may also need to write complex search queries to correlate user activity with other security events to uncover a threat.
Datadog Cloud SIEM visualizes security activity across systems or entities—such as users, devices, IP addresses, apps and network connections—within the organization's infrastructure for as far back as 15 months. This new capability enables customers to correlate and uncover embedded threats without having to write custom queries or import log data for every investigation.
"Without the ability to retain logs for a long period of time, companies are at risk of missing deep embedded issues that may threaten the availability and integrity of systems, apps, services and data," said Yash Kumar, Senior Director of Product Management, Cloud SIEM, at Datadog. "With Cloud SIEM, security teams now have a time machine to discover hidden threats and malicious activity. They can visualize and correlate events as far back as 15 months, making historical investigations faster and easier."
Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior, and track key business metrics.