Can your cache stand up to modern application needs?

While many organizations primarily turn to caching to speed up data retrieval, effective enterprise-grade caching brings a myriad of benefits from increased scalability to lower database costs.

When caching datasets larger than 100G, tiering between DRAM and SSD can be very effective when there's a subset of data that is most commonly accessed.

Tiering maintains low latency while saving up to 70% on caching infrastructure costs.

According to a Splunk survey of over 2,200 business and IT leaders, 57% say the volume of data is growing faster than their organization's ability to keep up with it, and 47% believe that their organization will fall behind when faced with rapid data volume growth.

Will your cache be ready to process the massive wave of business data on the horizon?

Based on our experience supporting and managing Redis for over 8,900 customers, Redis operations begin to become cumbersome when a cache is larger than 3 nodes.

If caching at scale, you need a solution with built-in automation to help you avoid the operational challenges that so many businesses encounter.

According to an Information Technology Intelligence Consulting (ITIC) survey, 44% of enterprises estimate the cost of downtime to be over $1,000,000 per hour.

Expert support matters most when your cache is down. Every second counts. When your application or its data are unavailable, your reputation and revenue are on the line.

According to Flexera's State of the Cloud Report, 75% of companies consider a lack of resources and expertise as a key technology challenge.

The difficulty of managing technology deployments has led to the widespread adoption of managed services, including Database as a Service (DBaaS) providers, to supply a team of experts to operate, scale, and manage database technologies.

According to HashiCorp 2022 State of Cloud Strategy Survey, 80% of organizations are choosing multicloud strategies. While the majority of them find value in their cloud strategy, 35% of organizations identify complexity as a key challenge with hybrid and multicloud endeavors.

Enterprise caching can help reduce this complexity, enabling unified data and simplified operations in hybrid and multicloud architectures.

According to a Total Economic Impact report of Redis Enterprise, conducted by Forrester, Redis Enterprise goes beyond just speed to provide a multitude of benefits.

In fact, Redis Enterprise's ROI equates to:

- $1.8M in savings in new projects, competitor transitions, and relational database conversions

- $1.6M in income from accelerated time-to-market

- $951.6K in avoided SLA penalties and recouped income from improved performance

- $949K in improved efficiency of IT and DevOps workstreams

To put all these 9s into perspective: A 99.9% SLA leaves you with nearly 9 hours of downtime each year, while a 99.999% SLA is barely 5 minutes!

You want your most important data to be available in real time, so you cache it. However, in the event of system failure, data held in-memory is especially vulnerable to data loss.

That means it’s it is crucial to use replication and redundancy, backups or data persistence, and a highly available shared-nothing architecture.

Cloud outages do happen, despite all of the resilience that cloud computing brings.

In 2021, all three major cloud providers experienced major service outages that lasted multiple hours.

Are you ready for the next outage?