Building a Load Balancer for Cloud Native Environments

Six years is a very long time in tech. The Application Delivery Controller (ADC) market has changed dramatically since Snapt arrived on the scene six years ago. Back then, traditional hardware load balancers were the rule for managing web server deployments and Snapt was the only software-only ADC on the market. Now the market faces another major transition – the migration to cloud-native environments.

Nova Review Highlights Easy Set Up

Here at Snapt, we’re confident that we’ve developed the fastest, most scalable and easiest to use ADC platform in Nova – one that meets the needs of modern DevOps and IT Ops teams as they adopt cloud-native techniques for application delivery. But don’t just take our word for it. A recent third-party review has shown how easy it is to work with Nova.

Snapt is Standing Together with You

The world is in the midst of an unprecedented crisis and we, the team that brings you the Snapt portfolio of products, want to help in whatever way we can. We’re here to support the heroes on the front-line as they protect our citizens and keep the economy going.

The Secret to Healthy App Delivery at Scale

When your IT operations or DevOps teams need to scale-up or scale-out the server systems running critical applications, it’s generally a good sign of business growth. It means there are more visitors coming to your website, more conversions, more product sales or possibly regional or international expansion. But with scaling comes complexity, especially for monitoring and managing application performance. This blog explains the basics of managing Application Delivery Control (ADCs) across multi-cloud deployments, multiple locations and at any scale.

Is Your ADC Ready for Multi-Cloud Deployments?

Moving to “the cloud,” as it’s casually known, is a misnomer. There isn’t a single, homogeneous cloud destination, but rather, a spectrum of different types of clouds ranging from private to public, and multiple varieties in between. In addition, there are multiple public cloud providers to choose from. As enterprises increasingly adopt diverse cloud strategies and run business-critical applications in multiple clouds, this has major implications for ensuring application delivery. And not all Application Delivery Controllers (ADCs) are up to the job for multi-cloud deployments.

Best Practices for Load Balancing Docker Containers

Containers are rapidly becoming the go-to software tool for application developers, and Docker is one of the most-loved container platforms according to the latest Stack Overflow developer survey. Docker simplifies software development so that developers can build applications that are lightweight, easily scalable and can run on any infrastructure. But when it comes to management and orchestration, the platform needs to be augmented with modern load balancing to ensure that business-critical applications are always up, fast and secure.

How to Intelligently Auto-Scale in the Hyperscale Era

The term hyperscale has become almost synonymous with huge cloud companies like Amazon, Google, Microsoft and Netflix. But the benefits of hyperscale computing are not limited to the realms of the world’s cloud computing giants. You don’t have to be a “hyperscaler” in size to achieve dynamic scalability and gain the resulting advantages of agility and cost efficiency. This blog explains how auto-scaling Application Delivery Controllers (ADCs) protect businesses of all sizes against any network eventuality so that critical applications are always up, fast and secure. 

How secure are your web servers?

Picture this: you have just completed a brand new installation of a server (Windows Server, Ubuntu, etc.) where you are going to deploy your organization's web portal. You need to ensure this service stays online and protected from bad actors.

5 Key Metrics For Improving Application Performance

The rise of DevOps engineers has changed how IT teams monitor the health of their systems and networks. Rather than having a siloed organization with specialized staff managing specific pieces of equipment, a DevOps team comprises tech generalists who take a more holistic view of the system and prioritize application performance. They need a different set of metrics, along with notifications and alerts, to analyze how business-critical applications are performing. This blog highlights five key metrics for optimizing application performance. 

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