SaaS Acceleration
Enhance user experience, improve SaaS application performance and reduce SaaS operating costs.
In the shift to Work From Anywhere, migration to multi-cloud and SaaS environments has accelerated in the last couple of years. As a result, user, infrastructure, and application environments are now highly distributed, spanning across multiple regions, multiple public clouds, and numerous SaaS providers.
Different public clouds, like AWS, Microsoft Azure and Google Cloud Platform, are known to have different strengths. So for maximum value, organizations are taking decisions to host certain applications in the cloud that’s most appropriate to them. This is rapidly widening the multi-cloud landscape. A recent survey found that 55% of enterprises were currently using two or more cloud providers, while 83% were exploring multi-cloud networking.
Infrastructure and Operations teams however are struggling to manage interoperability in this new world.
Multi-cloud and SaaS architectures are technically complex to integrate, create increased latency, and typically result in lower actual availability and resilience.
User access to multi-cloud and SaaS environments also presents problems. Remote access VPN solutions slow performance and direct access to internal applications brings its own security risks.
Because of these factors, many teams experience delayed project timelines, inconsistent architectures, degraded application experience, and high cloud spend with compromised security.
Infrastructure and Operations leaders are eager to realize the scalability and economics of the cloud. But to do so, they must overcome the following obstacles.
Reliance on a single cloud provider more than likely means you have a single point of failure in your environment. Major Cloud Service Provider (CSP) and SaaS provider outages are becoming more frequent. They can also occur due to issues with edge cloud services, which provide ‘last-mile’ connections from the CSPs.
This is prompting I&O teams to consider additional CSPs in their environment for redundancy as they plan for downtime scenarios, to limit the overall impact to employees and customers. But adding redundancy also adds complexity, which poses other challenges.
Multi-cloud migration has stretched I&O teams to their limit as they stitch together third-party cloud services and on-premises infrastructure to provide the security and performance their organization needs.
Managing communication between applications and services in different clouds is difficult. Setting up and maintaining connectivity between cloud providers, for example, requires a highly manual, point-to-point deployment in each cloud.
This all takes time, skills, and experience, and leads to 5 complex layers:
Many teams have limited resources, yet must be able to master these disciplines, while operating at an accelerated pace.
Managing security, performance, and costs in the cloud is almost impossible to stay on top of using a manual approach.
I&O teams must balance the needs of legacy, monolithic applications, modern service-mesh / distributed Kubernetes, and everything in between. And cloud spend can easily spiral when resources and connectivity are mismanaged, especially when operating at scale.
Further, security solutions from third-party clouds can impact performance and fragment the security stack, with some solutions being closer to the user and some being in the cloud. That’s not to mention the added effects of latency and user location.
Failure to gain control here leads to increased risk, escalating costs, and higher complexity.
Successful I&O leaders are realizing that it’s no longer humanly possible to manage multi-cloud environments effectively.
They’ve found a way to increase cloud application reliability, security and performance, roll out infrastructure much faster, save on multi-cloud spend, and resolve issues in seconds, rather than days, all without overstretching their team.
Our approach to a modern multi-cloud environment includes autonomous Multi-Cloud Networking (MCN) for efficient multi-cloud transit, cloud workload protection, application discovery, and SaaS acceleration.
Our experts help you to take advantage of leading technology that uses automation and machine learning in your multi-cloud environment.
With the insights we deliver, you can make the best performance and cost decisions, and have the right level of security when connecting users and other applications to the cloud.
Not only will this save you time, but you’ll also avoid overworking yourself and your team to achieve successful multi-cloud outcomes.
Enhance user experience, improve SaaS application performance and reduce SaaS operating costs.
To get started with our Multi-Cloud services, simply schedule a conversation with us today.