Contents 1. Overview 2. Caching: What, Why, and Where 3. Caching Pattern Types 4. Eviction Policies 5. Caching Solution Types 6. Why Consider Database Caching 7. Utilizing Distributed Caching 8. Summary of Caching Benefits 9. Caching Case Studies 10. Looking Ahead [โฆ]
Continuing our discussion of In-Memory Computing (see Part 1 and Part 2), weโll look at the innovations that in-memory computing promotes. First, a quick recap: In-Memory Computing (IMC) provides exceedingly-fast performance, and scales to process massive quantities of data. This is based on two technologies that in tandem, achieve [...]
In-Memory Computing (IMC) provides exceedingly-fast performance and scales to process massive quantities of data; for more info about IMC refer to part 1 and part 3 of this series. Since RAM-stored data is available instantaneously while data stored on disks is limited by network and disk speeds, IMC can [...]
The adoption of In-Memory Computing is on the rise - estimated at 11.4B USD in 2020, it is expected to reach US$ 67.5 Billion by 2032, exhibiting a growth rate (CAGR) of 14.7% during 2024-2032. This can be attributed to the growing demand for faster processing and analytics, to [...]
To address the growing demand for real-time data processing, In-Memory Data Grid (IMDG) technologies emerge as essential solutions that ensure exceptionally high data processing speed and application responsiveness. IMDGs also establish high data availability by storing data in memory, and by using parallelized distributed processing. This technology overcomes the [...]
Contents Clarifying the In-Memory Conundrum In-Memory Database In-Memory Data Grid In-Memory Computing So Whatโs the Difference? Not all In-Memory Data Grids Are Created Equal Last words Clarifying the In-Memory Conundrum Although In-Memory Computing has been available in the market since the late 1990s and is ubiquitously deployed, many people [...]
In January 2013, the finale of American Idol season 12 took place in Los Angeles, California. For that episode, the production recruited the soul queen Aretha Franklin, to perform a medley of her songs with the five top finalists as her backup singers. Unfortunately, Ms. Franklin was not a [...]
In the realm of speeding up data access, choosing the right in-memory data repository is crucial for optimal application performance, change management and platform flexibility. Among the various options available, Redis, as a representation of advanced caching solution, and GigaSpaces XAP Skyline, a top notch In-Memory-Data-Grid (IMDG), are viable [...]
In the ever-evolving landscape of distributed computing, the triad of scalability, performance, and reliability forms the cornerstone of any robust system. Enter Space-Based Architecture (SBA), a paradigm-shifting model that adeptly addresses these imperatives. Particularly for systems that demand high throughput alongside minimal latency, SBA emerges as a beacon of [...]
More than 10 years ago, Amazon found that every 100ms of latency cost them 1% in sales. In 2006, Google found an extra .5 seconds in search page generation timeย dropped traffic by 20%.ย A broker could loseย $4 million in revenues per millisecondย if their electronic trading platform is 5 milliseconds behind [...]
Many applications today require the support of transactions at scale that must be calculated in real-time. These needs are most commonly seen in commercial transaction processing systems (OLTP) and some types of decision support systems such as fraud detection, risk analysis, predictive maintenance, and customer 360 applications. Typically these [...]
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