There are many new challenges, and reasons, to migrate workloads to the cloud.

For example, here are four of the most popular:

• Analytics and Machine learning (ML) are everywhere. Once you have your data in a cloud platform like Google Cloud Platform, you can leverage their APIs to run analytics and ML on everything.
• Kubernetes is powerful and scalable, but transitioning legacy apps to Kubernetes can be daunting.
• SAP HANA is a secret weapon. With high mem instances in the double digit TeraBytes migrating SAP to a cloud platform is easier than ever.
• Serverless is the future for application development. With CloudSQL, Big Query, and all the other serverless solutions, cloud platforms like GCP are well positioned to be the easiest platform for app development.
  

Whether it is for backup, disaster recovery, or production in the cloud, you should be able to leverage the cloud platform to solve your technology challenges. In this step-by-step guide, we outline how GCP is positioned to be one of the easiest cloud platforms for app development. And, the critical role data protection as-as-service (DPaaS) can play.

Kaleida Health was looking to modernize the digital experience for its clinicians and back office support staff. Aging and inconsistent desktop hardware and evolving Windows OS support requirements were taxing the organization’s internal IT resources. Further, the desire to standardize on Citrix VDI  for both on-site and remote workers meant the healthcare organization needed to identify a new software and hardware solution that would support simple and secure access to cloud workspaces.

The healthcare organization began the process by evaluating all of the major thin client OS vendors, and determined IGEL to be the leader for multiple reasons – it is hardware agnostic, stable and has a small footprint based on Linux OS, and it offers a great management platform, the IGEL UMS, for both on-site users and remote access.

Kaleida Health also selected LG thin client monitors early on because the All-in-One form factor supports both back office teams and more importantly, clinical areas including WoW carts, letting medical professionals securely log in and access information and resources from one, protected data center.

AIOps is an umbrella term for underlying technologies, including Artificial Intelligence, Big Data Analytics and Machine Learning that automate the determination and resolution of IT issues in modern, distributed IT environments.

Here's a brief overview on how AIOps solution work:

• AIOps data usually comes from different MELT sources.
• Then, big data technologies aggregate and organize it, reduce noise, find patterns and isolate anomalies.
• The AIOps automated resolution system resolves known issues and hands over the complicated scenarios to IT teams.

Learn from this whitepaper on what are the Best Practices IT Teams and IT Leaders should follow in implementing AIOps in their enterprise.

• CISOs face stringent government regulations, such as the current administration mandating 12-18 months of log retention.
• Chief Enterprise Architects worry that the average cost of a single enterprise service outage is $400K and the average MTTR is over 7 hrs.
• Companies such as Facebook lose $65 million and 4.8% of their stock valuation over a 5-hour outage.
• Security breaches mar organizational reputation and prove a threat to business.
• 91% of leaders agree that monitoring tools are siloed and domain-specific, complicating the log management landscape.
• VP Cloud/IT Services acknowledge the accelerated pace of digital transformation post-COVID-19 and recognize the need for more sophisticated security monitoring and SIEM adoption.
• Log management market size reaches $2.3 billion in 2021 and is expected to grow to $4.1 billion by 2026 at a CAGR of 11.9%.

Are you looking for an effective IT Asset Management & Analytics solution? The tool you're looking for is the CloudFabrix Asset Intelligence & Analytics Module powered by the Cisco Observability Platform.

Here are some features:

• Accurate IT asset visibility
• Compliance for IT assets
• Accurate CMDB
• Opex savings tied to manual data collection & reconciliation
• Faster change implementations
• Persona-based asset dependency mapping insights