Load Balancing

Creating an application delivery controller for Developers (and why we use our own ADC)

Developers building business-critical applications need an IT environment that allows them to work quickly and securely. This means having reliable web servers that are always available and protected. However, in the agile world of modern application development, they can’t always wait for the IT team to set-up and configure ADCs for them. They need their own ADCs, and they need them to be tailored to their own needs.

When we developed Snapt Nova, we were our first customer. Our development team use Nova themselves (the process known as "dogfooding") to provide load balancing for Nova development and deployment. This post is about what developers need, how the right application delivery controller (ADC) can support and empower developers, and why Nova might be the best ADC for developers – or, at least, why our own developers seem to think it is.

Is ELB good enough for load balancing apps in AWS?

If you’re running your applications in Amazon Web Services / EC2, you need some load balancing to make sure your web servers don’t get overloaded. Amazon offers Elastic Load Balancing (ELB) natively, but is it the best option for you? This blog explains the differences between Amazon ELB and Application Delivery Controllers (ADCs).

If you only need a basic load balancer to manage where to send and receive traffic within your AWS environment, then ELB might be enough. But if you’re running business-critical applications and you need to make sure they are always available, are running as fast as possible, are protected from attacks, and display real-time telemetry and performance data, then you might need additional functionality that ELB cannot provide. You might require a complete ADC like Snapt Aria, which provides a full-featured, high-performance software load balancer, web accelerator, WAF and GSLB.

Do You Prioritize Features or Flexibility in a Load Balancer?

The load balancer market is evolving from feature-heavy hardware appliances to lightweight software solutions and flexible cloud-native implementations. But if you’re evaluating load balancer options, how do you bridge the gap between old world systems and the new? Do you prioritize the product features you’ve come to rely on or the advantages of flexibility? What are the pros and cons?

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.

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. 

Optimizing Application Delivery for Red Hat

In this blog we look at Red Hat, one of the market’s innovative enterprise Linux OS providers, and how Snapt’s standalone ADC solution, Snapt Aria, meets the needs of Red Hat deployments.   

How to Choose the Right ADC for Kubernetes

If you’re running your business applications in containers and managing those with Kubernetes, you’re probably aware of the limitations of traditional Application Delivery Controllers (ADCs) in this environment. Traditional ADCs simply do not have the scalability and agility needed for cloud native deployments. Whether you’re already up and running in containers or just getting started, this blog will tell you all you need to know for choosing the right ADC for Kubernetes.

Don’t Let Your Business Pay the Price of Downtime

If you're considering whether you can afford running more than one server for your business, you're likely to discover that you can't afford not to. Even with the additional operational expenses, you’ll be better off having redundant servers because redundancy minimizes downtime for your critical applications and reduces the costs incurred by outages, which can be huge. The price of downtime is always too high for any business.

Like it or not, IT downtime is a fact of life. Systems fail. Outages happen. The failure rate of cloud servers is roughly 2% annually, for example. The larger the installation, the more frequently outages will occur. The best way to deal with these inevitable worst-case scenarios is to be prepared and minimize the downtime as much as possible.

How Intelligent Load Balancing Avoids Common RDP Pitfalls

Today’s workforce is increasingly mobile and remote, as many of us can now work effectively outside our traditional offices thanks to broadband connectivity, advances in networking technology and more capable mobile devices. Remote working not only increases employee productivity but also makes for happier employees who don’t have to contend with the stresses of commuting and can more easily balance work and life commitments. Companies that offer remote working are also more attractive to talented job seekers. But businesses need to be smart about how they support remote access to internal servers in order to minimize costs, prevent network downtime and provide secure connections.

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