If you are an IT service provider still heavily reliant on your break-fix offerings, a move to managed services based on remote monitoring and management software can bring significant business benefits and improve the customer experience. By switching to the MSP model, you can have higher productivity, predictable income, customers' trust and more. As your business model will inevitably change with this new model, it could be a bit tricky to figure everything out on your own. To make this transition convenient, we have put together a guide that will help you.

It's easy to get caught flat-footed on things like collecting logs and metrics at cloud-scale, making sense of cloud network performance and health using old-school data like port numbers and IP addresses, and automating processes like troubleshooting and remediation when you don't own the underlying infrastructure.

This white paper discusses some inherent issues in current AIOps tools and how preventive healing systems are bridging the gaps left by them. Why AIOps tools are not enough How preventive healing systems fill in the gap

Running SAP systems in the cloud can provide a litany of benefits to users at every level of the organization. However, many hidden, unexpected and expensive challenges can quickly arise before, during and after migrating mission-critical SAP systems to the cloud. In this white paper you'll discover the three main challenges plaguing both Enterprise IT operations and Managed Service Providers (MSPs) today, and learn how to overcome them.

Big data stacks are being moved to the cloud, enabling enterprises to get the most value from the information they own. But as demand for big data grows, enterprises must enhance the performance of their cloud assets. Faced with the complexity of cloud environments, most enterprises resort to scaling up their whole cloud infrastructure, adding more compute, and running more processes.

There has been an ongoing surge of companies beginning to run Spark on Kubernetes. In our recently published 2021 Big Data on Kubernetes Report, we discovered that 63% of today's enterprises are running Spark on Kubernetes. The same report found that nearly 80% of organizations embrace Kubernetes to optimize the utilization of compute resources and reduce their cloud expenses. However, running Spark on Kubernetes is not without complications and problems.

Organizations are adopting cloud in a big way. Some went whole hog right away, but most took a hybrid approach for security, compliance, or just to move more cautiously. No matter the reason, hybrid clouds can leave network pros a little, well, foggy. No longer can you see, fix, and run your network across your data center, private clouds, public clouds, and SaaS. Ai ai ai! Never fear! Read this short white paper on how to achieve network observability nirvana in your hybrid cloud.

For decades, IT teams have relied on on-premises, network-centric approaches to IT management. As these teams have grown to manage more and more cloud- and SaaS-based products for the business users, they have staunchly persisted in their use of legacy management tools. Even the growing mobile, field, and remote workforce has only marginally impacted IT management methods, with most simply finding workarounds to their network-centric systems that leave end-users frustrated and unsatisfied.

In the last year, the dual pressures of accelerating digital transformation and delivering seamless remote experiences have challenged IT teams to fundamentally adapt. Facing constrained budgets, threats from would-be cybercriminals, and a surge in new remote devices, their role has grown both increasingly critical and increasingly complex. NinjaOne's latest report looks at the top challenges and trends impacting IT efficiency. Read the report to learn how manual processes could be costing IT teams time, money, and exposing them to new risk.

Are you ready to migrate to HANA? When HANA platform is implemented correctly, it has proven itself to deliver greater results in analytic intelligence, performance, data processing, and better ROI with faster time-to-value. Planning and executing a successful migration to SAP HANA depends upon a comprehensive understanding of the overall process and careful monitoring during the five main stages of a migration.