Caching for Microservices Solution Brief
Redis Enterprise was designed and built with the same core principles that guide microservices architectures: agility, resilience, scalability, and flexibility. This alignment makes Redis Enterprise an ideal caching solution for microservices applications.
But not only does Redis Enterprise align with the strengths of microservices – it can also be used as a cache to overcome two key microservices challenges: complexity and latency.
Read the solution brief to discover:
- How caching with Redis Enterprise enables fast, simplified microservices applications.
- The top three caching patterns for microservices (and when to use them).
- Customer stories and architectures with Redis Enterprise as a microservices cache.
Redis Enterprise vs. ElastiCache Datasheet
Amazon ElastiCache may meet basic caching needs, but as companies grow and caching becomes mission-critical, an enterprise-grade cache is a necessity.
Redis Enterprise, the leading Redis managed service, goes above and beyond services like ElastiCache to power world-class, real-time digital experiences at any scale.
Read this new datasheet and learn:
- Common use-cases for each service.
- The unique benefits of Redis Enterprise vs. ElastiCache.
- When you should/shouldn’t use ElastiCache.
Latency is the New Outage
More organizations are tying their future success to digital and online business. As brands expand their digital customer experiences, they rely on applications hosted on different infrastructures, in different geographies, and with different providers.
IT, operations teams, and developers that previously obsessed over availability and uptime of applications are now faced with a new challenge: latency. Download the white paper and discover how to tackle the challenge of speed.
Top Reasons to Download:
- Know what slow applications can cost your business, and why response time is more critical than ever.
- Learn how leading brands are delivering speed in a complex world of applications for digital consumers.
- Get the intelligence you need to deliver your customers the lowest latency possible.
The Future Is Here: Multicloud for the Distributed World
Recent global events like the Global Financial Collapse and COVID-19 pandemic have transformed how we build technology. The future is now here and it has brought multicloud with it. Read the white paper to learn how to master the “new normal” of today’s multi-service, multicloud, and multi-geography approach to technology.
Read and discover:
- Key factors that have driven the adoption of multicloud.
- How multicloud enables unprecedented choice and flexibility.
- The unique challenges that have arisen as multicloud has become the norm.
- How Redis Enterprise can help overcome challenges around new multicloud distributed applications.
The Total Economic Impact Of Redis Enterprise
The digital economy demands ultra-fast, real-time data processing to meet customer needs, and Redis Enterprise meets those demands with better performance and higher uptime at a lower cost than customers’ legacy SQL and NoSQL databases.
Read the Forrester Consulting Total Economic Impact™ study commissioned by Redis to see how a composite Redis customer achieved:
- $1.8M in savings on new projects, competitor transitions, and relational database conversions.
- $1.6M in new revenue from accelerated time to market enabled by Redis’ speed and stability.
- $952K in avoided downtime and SLA penalties from improved performance.
- $949K in improved efficiency for IT and DevOps teams.
All told, the composite customer realized 350% ROI and $4.12M in net present value over three years—with payback of less than 6 months.
MyTeam11 Case Study
MyTeam11 is the new global leader in the market of fantasy sports sites, ensuring that each user gets benefits and rewards at the end of any contest.
MyTeam11 is a leading option when it comes to sports like cricket, football (soccer), kabaddi, hockey, basketball, handball, volleyball, rugby, and baseball. Read this case study to find out why MyTeam11 choose Redis Enterprise Cloud, instead of Amazon Elasticache, for it’s extremely unpredictable data loads.
6 Key Elements of Enterprise Caching
As your business grows, so do the demands and complexity of your caching layer. This means that you will eventually outgrow basic caching and require an enterprise solution that delivers performance, resilience, and cost-efficiency at scale.
But what is enterprise caching? Download the checklist to discover:
- What enterprise caching is and why you need it.
- What the 6 key elements of enterprise caching are.
- How enterprise caching maximizes application performance.
Caching for Microservices Solution Brief
Redis Enterprise was designed and built with the same core principles that guide microservices architectures: agility, resilience, scalability, and flexibility. This alignment makes Redis Enterprise an ideal caching solution for microservices applications.
But not only does Redis Enterprise align with the strengths of microservices – it can also be used as a cache to overcome two key microservices challenges: complexity and latency.
Read the solution brief to discover:
- How caching with Redis Enterprise enables fast, simplified microservices applications.
- The top three caching patterns for microservices (and when to use them).
- Customer stories and architectures with Redis Enterprise as a microservices cache.
Caching at Scale with Redis
This is the only primer you need to understand what application caching is, why and when it’s needed, and how to get the best performance from your applications using advanced enterprise application caching techniques.
You’ll also learn about:
- The role of caching in modern application stack.
- Horizontal and vertical scaling techniques.
- Caching in the cloud.
- Caching at enterprise scale.
The State of the Data Race
The data execution gap is real. We surveyed more than 500 CIOs and technology heavy hitters to uncover key attributes of “data leaders”—companies that excel at using data to deliver value to customers and derive at least 20% of revenue from data and analytics. Read the report to learn:
- What frontrunners do to improve the customer experience and boost revenue with data.
- The important role that open source technologies play in advancing organizations’ success with data.
- Key steps that organizations take to move toward the level of the highly successful data strategies used by leaders.
The State of the Data Race 2022
In an independent survey of 500+ CIOs and technology leaders, it revealed that leveraging real-time data pays off in two important ways: higher revenue growth and increased developer productivity.
Some highlights from the State of the Data Race research report:
- 71% of respondents agree that they can tie their revenue growth directly to real-time data.
- 78% of respondents agree that real-time data is a “must-have,” not a “nice to have”.
- 66% of real-time data focused organizations agree that developer productivity has improved.
- And more insights!
IDC Brief: Factors in Choosing DataBase Technologies
Combining Scalable Database Technologies to Achieve Operational Flexibility and Analytic Power, an IDC Analyst Brief.
This IDC paper discusses the different factors enterprises must consider to choose the right database technologies in the face of the confusing and daunting demands of digital transformation.
Enterprises require technologies that carefully address the workload at hand, which can be operational, streaming, or analytical. They must also consider deployment requirements — on premises, in the cloud, or hybrid, not to mention the organization’s capacity to handle the operational demands and technical requirements of running workloads in the cloud.
Choosing the Best Data Stack: DataStax Astra DB vs. Amazon DynamoDB
DataStax’s Astra DB is the serverless, fully managed, and cloud-agnostic DBaaS built on Apache Cassandra™ that provides developer freedom through APIs, unparalleled price, and scalable performance. Read this ebook to discover the advantages of Astra DB over DynamoDB:
- Rich API flexibility means there’s no need for developers to learn any new complex, proprietary APIs for application development.
- Better price/ performance (throughput and latency) at scale for lower TCO.
- Infrastructure-agnostic data layer provides flexibility to run on multiple clouds, on-prem data centers, or both in a hybrid fashion.
- Powered by Astra Streaming, a multi-cloud streaming as a service built on Apache Pulsar, to support real-time data pipelines.
Introducing Next Generation Automatic Speech Recognition
This white paper seeks to educate companies on use cases for next-gen ASR. You can incorporate it within your business and deliver more value to your end-customers by:
- Achieve above-average transcription accuracy up to 98.7%
- Reduce word error rates by up to 52.3%
- Reduce English dialect errors by over 2x
The Age of Voice Innovation, Part II: What Keeps You Up at Night
Join LumenVox, Dan Miller, Lead Analyst, Opus Research and Derek Top, Senior Analyst, Opus Research for a discussion that covers:
- How to identify elements of the voice channel most in need of an upgrade.
- How to migrate elements with an uncertain future to proven solutions.
- An overview of proven solutions at the lowest price.
- Scalability: Serving a diverse customer base across a spectrum of devices.
The Age of Voice Innovation, Part I: Attributes of the New Engine
Join LumenVox, Dan Miller, Lead Analyst, Opus Research and Derek Top, Senior Analyst, Opus Research for a lively discussion of the factors that are giving new shape to the Voice Channel for both self-service and employee communications, including:
- Pricing: Benefitting from single language models and steadily declining costs.
- Accuracy: Creating new services and use cases (Moore’s law moves to the cloud).
- Tooling: Democratizing NLU to create voicebots and augmented IVRs.
- Scalability: Serving a diverse customer base across a spectrum of devices.
