#caching-strategy

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Software development
fromInfoQ
15 hours ago

TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents

TigerFS is an experimental filesystem that integrates PostgreSQL, allowing file operations through a standard filesystem interface.
DevOps
fromInfoQ
19 hours ago

Replacing Database Sequences at Scale Without Breaking 100+ Services

Validating requirements can simplify complex problems, and embedding sequence generation reduces network calls, enhancing performance and reliability.
Artificial intelligence
fromMedium
21 hours ago

Hindsight: The Future of AI Agent Memory Beyond Vector Databases

Hindsight introduces a new AI memory system that enables learning from experiences rather than just recalling past information.
Scala
fromInfoQ
2 days ago

Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

Context-Augmented Generation (CAG) enhances Retrieval-Augmented Generation (RAG) by managing runtime context for enterprise applications without requiring model retraining.
#cloudflare
Web development
fromComputerworld
1 day ago

Cloudflare's new CMS is not a WordPress killer, it's a WordPress alternative

Cloudflare's EmDash is positioned as a secure, flexible alternative to WordPress for modern website building.
Web development
fromComputerworld
1 day ago

Cloudflare's new CMS is not a WordPress killer, it's a WordPress alternative

Cloudflare's EmDash is positioned as a secure, flexible alternative to WordPress for modern website building.
#ai
Data science
fromTheregister
2 days ago

TurboQuant is a big deal, but it won't end the memory crunch

TurboQuant is an AI data compression technology that reduces memory usage for KV caches but may not significantly alleviate memory shortages.
Data science
fromTheregister
2 days ago

TurboQuant is a big deal, but it won't end the memory crunch

TurboQuant is an AI data compression technology that reduces memory usage for KV caches but may not significantly alleviate memory shortages.
Node JS
fromAlex MacArthur
5 days ago

Your options for preloading images with JavaScript

Preloading images in JavaScript can be achieved through various methods, with the best choice depending on specific circumstances.
DevOps
fromMedium
21 hours ago

Fair Multitenancy-Beyond Simple Rate Limiting

Fair multitenancy ensures equitable infrastructure access for customers, balancing simplicity, performance, and safety in shared environments.
Artificial intelligence
fromInfoWorld
1 day ago

Google gives enterprises new controls to manage AI inference costs and reliability

Gemini API introduces Flex and Priority tiers for managing AI inference workloads based on criticality and cost.
Gadgets
fromTheregister
1 week ago

AMD doubles up on V-Cache with 9950X3D2 Dual Edition

AMD's Ryzen 9 9950X3D2 Dual Edition CPU enhances gaming and production performance with 16 cores and 192 MB L3 cache.
Software development
fromArs Technica
2 days ago

Nvidia rolls out its fix for PC gaming's "compiling shaders" wait times

Nvidia's new Auto Shader Compilation feature allows automatic shader compilation during idle times to reduce load times for PC gamers.
#kubernetes
DevOps
fromMedium
21 hours ago

Understanding Kubernetes Architecture is a MUST

Understanding Kubernetes architecture is essential for effective cloud-native deployment and troubleshooting.
DevOps
fromMedium
21 hours ago

Understanding Kubernetes Architecture is a MUST

Understanding Kubernetes architecture is essential for effective cloud-native deployment and troubleshooting.
#apache-spark
Java
fromMedium
2 weeks ago

Spark Internals: Understanding Tungsten (Part 1)

Apache Spark revolutionized big data processing but faces challenges due to JVM memory management and garbage collection issues.
Java
fromMedium
2 weeks ago

Spark Internals: Understanding Tungsten (Part 2)

Catalyst Optimizer and Tungsten work together in Apache Spark to optimize data execution and manage raw binary data.
Java
fromMedium
2 weeks ago

Spark Internals: Understanding Tungsten (Part 1)

Apache Spark revolutionized big data processing but faces challenges due to JVM memory management and garbage collection issues.
Java
fromMedium
2 weeks ago

Spark Internals: Understanding Tungsten (Part 2)

Catalyst Optimizer and Tungsten work together in Apache Spark to optimize data execution and manage raw binary data.
Node JS
fromhowtocenterdiv.com
1 week ago

Database Performance Bottlenecks: N+1 Queries, Missing Indexes, and Connection Pools

Database issues, like missing indexes and N+1 queries, are often overlooked in software engineering, leading to persistent performance problems.
#openai
Artificial intelligence
fromFuturism
6 days ago

OpenAI's Obsession With Data Centers Is Running Into Trouble

OpenAI has significantly reduced its AI infrastructure spending plans from $1.4 trillion to $600 billion amid financial pressures and market expectations.
Web frameworks
fromSubstack
2 weeks ago

Blob Objects in JavaScript: A Practical Guide to Files, Previews, Downloads, and Memory

Blob objects are essential for efficient file handling in frontend development, addressing issues like memory management and performance.
Roam Research
fromInfoQ
3 weeks ago

How Grab Optimizes Image Caching on Android with Time-Aware LRU

Grab engineers implemented a Time-Aware Least Recently Used cache to replace standard LRU caching, improving storage reclamation while maintaining user experience and server efficiency.
Data science
fromMedium
3 weeks ago

Migrating to the Lakehouse Without the Big Bang: An Incremental Approach

Query federation enables safe, incremental lakehouse migration by allowing simultaneous queries across legacy warehouses and new lakehouse systems without risky big bang cutover approaches.
#cloud-computing
fromInfoWorld
4 days ago
DevOps

Enterprises demand cloud value

Businesses are shifting from cost-cutting to establishing centers of excellence and finops to enhance ROI in cloud investments.
fromInfoWorld
1 week ago
DevOps

Edge clouds and local data centers reshape IT

Cloud computing is evolving towards a selectively distributed model to address latency, sovereignty, and resilience in smart cities and AI applications.
DevOps
fromInfoWorld
4 days ago

Enterprises demand cloud value

Businesses are shifting from cost-cutting to establishing centers of excellence and finops to enhance ROI in cloud investments.
DevOps
fromInfoWorld
1 week ago

Edge clouds and local data centers reshape IT

Cloud computing is evolving towards a selectively distributed model to address latency, sovereignty, and resilience in smart cities and AI applications.
fromInfoWorld
3 weeks ago

MariaDB taps GridGain to keep pace with AI-driven data demands

Hyperscalers and major data platform vendors offer integrated services across storage, analytics, and model infrastructure. MariaDB's differentiation will likely depend on whether the combined platform can deliver operational speed and simplicity that organizations find easier to run than those larger stacks.
Business intelligence
Node JS
fromInfoWorld
2 weeks ago

Edge.js launched to run Node.js for AI

Edge.js is a WebAssembly-based JavaScript runtime that safely executes Node.js applications with faster startup times by sandboxing workloads through WASIX.
#ai-efficiency
Artificial intelligence
fromInfoWorld
1 week ago

Google targets AI inference bottlenecks with TurboQuant

TurboQuant improves AI model efficiency by compressing key-value caches, reducing memory usage and runtime without accuracy loss.
Artificial intelligence
fromInfoWorld
1 week ago

Google targets AI inference bottlenecks with TurboQuant

TurboQuant improves AI model efficiency by compressing key-value caches, reducing memory usage and runtime without accuracy loss.
DevOps
fromInfoWorld
5 days ago

How to build an enterprise-grade MCP registry

MCP registries are essential for integrating AI agents with enterprise systems, requiring semantic discovery, governance, and developer-friendly controls.
DevOps
fromInfoWorld
4 days ago

What front-end engineers need to know about AWS

Understanding AWS infrastructure improves front-end debugging and UI performance.
#ai-infrastructure
DevOps
fromInfoQ
6 days ago

ProxySQL Introduces Multi-Tier Release Strategy With Stable, Innovative, and AI Tracks

ProxySQL 3.0.6 introduces a multi-tier release strategy focusing on stability, innovation, and AI capabilities for diverse user needs.
fromTheregister
3 weeks ago

RAM is getting expensive, so squeeze the most from it

Both work with Linux's existing swapping mechanism. Swapping (called paging in Windows) is a way for the kernel to handle running low on available RAM. It chooses pages of memory that aren't in use right now and copies them to disk, then those blocks can be marked as free and reused for something else.
Software development
Miscellaneous
fromDevOps.com
1 month ago

I Learned Traffic Optimization Before I Learned Cloud Computing. It Turns Out the Lessons Were the Same. - DevOps.com

Cloud infrastructure requires understanding system behavior and costs to operate effectively at speed, similar to how skilled drivers anticipate conditions rather than simply driving fast.
Artificial intelligence
fromComputerWeekly.com
1 week ago

Akamai launches AI Grid intelligent orchestration | Computer Weekly

Akamai Technologies has launched the first global-scale implementation of Nvidia AI Grid, enhancing AI inference through distributed networking and intelligent orchestration.
DevOps
fromTechzine Global
1 week ago

OpenObserve lowers observability storage costs by 140x

OpenObserve offers an AI-native open source platform that significantly reduces costs and infrastructure needs in the observability market.
Tech industry
fromUnited States Edition
1 month ago

Spotlight report: Accelerating Data Center Modernization

Data center modernization is critical for AI deployment, requiring integrated infrastructure solutions across servers, storage, networking, and security.
Data science
fromTechRepublic
1 month ago

Inside the Gas Engine Strategy Powering AI's Next Wave

Gas reciprocating engines are emerging as a critical power solution for AI data centers, with manufacturers like Caterpillar securing multi-gigawatt orders to meet demand that exceeds grid and turbine capacity.
Artificial intelligence
fromMedium
1 week ago

Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI

Model quantization and architectural optimization can outperform larger models, challenging the belief that more GPUs equal greater intelligence.
Web frameworks
fromLoicpoullain
1 month ago

The future of web frameworks in the age of AI

AI agents now generate 90-95% of production code, requiring frameworks to be AI-understandable with comprehensive documentation and clear examples to remain competitive.
DevOps
fromComputerWeekly.com
2 weeks ago

Everpure's Evergreen One for AI brings Exa flash and GPU-based service-level agreements | Computer Weekly

Everpure launches Evergreen One for AI, a consumption model with GPU-count-based SLAs for FlashBlade//Exa storage to optimize AI workload performance.
Software development
fromInfoWorld
1 month ago

The reliability cost of default timeouts

Unbounded waiting in distributed systems causes slowness to manifest as outages before traditional failure detection triggers, draining capacity and degrading user experience.
Artificial intelligence
fromInfoWorld
3 weeks ago

Amazon is linking site hiccups to AI efforts

Amazon is implementing senior engineer approval requirements for AI-assisted code changes after experiencing multiple outages attributed to AI tools.
#neoclouds
fromTechCrunch
1 month ago

As AI data centers hit power limits, Peak XV backs Indian startup C2i to fix the bottleneck | TechCrunch

Power, rather than compute, is fast becoming the limiting factor in scaling AI data centers. That shift has prompted Peak XV Partners to back C2i Semiconductors, an Indian startup building plug-and-play, system-level power solutions designed to cut energy losses and improve the economics of large-scale AI infrastructure. C2i (which stands for control conversion and intelligence) has raised $15 million in a Series A round led by Peak XV Partners, with participation from Yali Deeptech and TDK Ventures, bringing the two-year-old startup's total funding to $19 million.
Startup companies
Python
fromTalkpython
2 months ago

diskcache: Your secret Python perf weapon

DiskCache provides a SQLite-backed, dictionary-like persistent cache that speeds Python applications, supports cross-process use, and avoids running separate services like Redis.
fromRaymondcamden
1 month ago

I threw thousands of files at Astro and you won't believe what happened next...

I began by creating a soft link locally from my blog's repo of posts to the src/pages/posts of a new Astro site. My blog currently has 6742 posts (all high quality I assure you). Each one looks like so: --- layout: post title: "Creating Reddit Summaries with URL Context and Gemini" date: "2026-02-09T18:00:00" categories: ["development"] tags: ["python","generative ai"] banner_image: /images/banners/cat_on_papers2.jpg permalink: /2026/02/09/creating-reddit-summaries-with-gemini description: Using Gemini APIs to create a summary of a subreddit. --- Interesting content no one will probably read here...
Austin
#ai-data-centers
Artificial intelligence
fromEngadget
1 month ago

AI data centers could reduce power draw on demand, study says

AI data centers can dynamically reduce energy consumption by up to 40% without disrupting critical workloads, enabling grid stability and reducing infrastructure strain.
Artificial intelligence
fromEngadget
1 month ago

AI data centers could reduce power draw on demand, study says

AI data centers can dynamically reduce energy consumption by up to 40% without disrupting critical workloads, enabling grid stability and reducing infrastructure strain.
Artificial intelligence
fromComputerWeekly.com
4 weeks ago

Edge AI: What's working and what isn't | Computer Weekly

Edge AI deployment success depends on identifying efficient, narrow use cases with manageable risks rather than pursuing sophisticated, large-scale models across all applications.
Tech industry
fromInfoQ
2 months ago

Uber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage

Priority-aware, colocated load management with CoDel and per-tenant Scorecard protects stateful multi-tenant databases by prioritizing critical traffic and adapting dynamically to prevent overloads.
Software development
fromInfoQ
1 month ago

Cloudflare Introduces Local Uploads for R2 to Cut Cross-Region Write Latency by 75%

Local Uploads for R2 reduces cross-region write latency by writing client-side data locally and asynchronously replicating it to bucket, improving upload TTLB up to 75%.
fromSitePoint Forums | Web Development & Design Community
2 months ago

What's the most impactful first step to improve website speed when starting from scratch?

When building or optimizing a website from scratch, performance can easily be overlooked until problems start showing up-slow load times, poor user experience, and lower search rankings. There are many ways to improve website speed, such as image optimization, code minification, caching, choosing better hosting, or using a CDN. For developers and site owners starting fresh, it's often unclear which step delivers the biggest impact
Web development
Artificial intelligence
fromInfoWorld
1 month ago

Why AI requires rethinking the storage-compute divide

AI workloads require continuous processing of unstructured multimodal data, causing redundant data movement and transformation that wastes infrastructure costs and data scientist time.
Tech industry
fromTheregister
1 month ago

Server CPUs join memory crunch, with prices set to rise

Datacenter servers face CPU supply constraints atop severe memory shortages, raising system costs while shipments still grow at double-digit rates.
Web frameworks
fromLogRocket Blog
2 months ago

Cache components in Next.js: Faster pages with partial pre-rendering - LogRocket Blog

Cache Components enable component-level caching and reuse in Next.js, allowing static and dynamic content to coexist and improve render performance via Partial Pre-Rendering.
Java
fromMedium
3 months ago

I Ignored These JPA Methods for Years-Now Spring Boot Application 10 Faster

Use existsById() for existence checks and saveAll() with batching to reduce queries, memory use, and improve application performance and code clarity.
#spark
fromMedium
2 months ago
Data science

How I Fixed a Critical Spark Production Performance Issue (and Cut Runtime by 70%)

fromMedium
2 months ago
Software development

How I Fixed a Critical Spark Production Performance Issue (and Cut Runtime by 70%)

fromMedium
2 months ago
Data science

How I Fixed a Critical Spark Production Performance Issue (and Cut Runtime by 70%)

fromMedium
2 months ago
Software development

How I Fixed a Critical Spark Production Performance Issue (and Cut Runtime by 70%)

fromTheregister
2 months ago

DRAM price hike to hit server and infrastructure costs

RAM prices have surged dramatically in recent months, with manufacturers including Kingston, Micron, and Samsung raising prices by an average of 63 percent between September and December 2025 for the most common capacities - 16 GB, 32 GB, 64 GB, and 128 GB modules sold in Europe, according to distribution market data compiled by analyst Context.
Tech industry
Software development
fromMedium
1 month ago

The Complete Database Scaling Playbook: From 1 to 10,000 Queries Per Second

Database scaling to 10,000 QPS requires staged architectural strategies timed to traffic thresholds to avoid outages or unnecessary cost.
Software development
fromInfoQ
2 months ago

One Cache to Rule Them All: Handling Responses and In-Flight Requests with Durable Objects

Treat in-flight work and cached completed responses as two states of the same per-key cache entry to eliminate duplicate computations and reduce thundering-herd effects.
Tech industry
fromInfoQ
2 months ago

Google Introduces Managed Connection Pooling for AlloyDB

AlloyDB's managed connection pooling increases client connections and transactional throughput while reducing operational burden and latency for high-concurrency and serverless workloads.
fromComputerWeekly.com
1 month ago

Neoclouds: Meeting demand for AI acceleration | Computer Weekly

ChatGPT, launched in 2022, began making a significant impact on the market by late 2023, according to Synergy Research Group. The company's chief analyst, John Dinsdale, points out that cloud market leaders have experienced accelerated revenue growth over time. Additionally, the emergence of numerous neocloud companies ( see box: What is a neocloud?) has further strengthened the already positive momentum in the market.
Artificial intelligence
Software development
fromInfoQ
2 months ago

Engineering Speed at Scale - Architectural Lessons from Sub-100-ms APIs

Treat latency as a first-class product concern with enforceable latency budgets, fast-path architecture, and broad ownership through measurement and accountability.
fromArmin Ronacher's Thoughts and Writings
1 month ago

The Final Bottleneck

At that point, backpressure and load shedding are the only things that retain a system that can still operate. If you have ever been in a Starbucks overwhelmed by mobile orders, you know the feeling. The in-store experience breaks down. You no longer know how many orders are ahead of you. There is no clear line, no reliable wait estimate, and often no real cancellation path unless you escalate and make noise.
Software development
Software development
fromMedium
2 months ago

Why Your System Shows Old Data: A Practical Guide to Cache Invalidation

Caching introduces multiple truths; without correct cache invalidation users will receive stale data and silently lose trust.
Software development
fromInfoQ
2 months ago

AWS Adds Intelligent-Tiering and Replication for S3 Tables

S3 Tables now support Intelligent-Tiering automatic cost optimization and cross-region/account Apache Iceberg table replication without manual synchronization.
fromDbmaestro
5 years ago

Database Delivery Automation in the Multi-Cloud World

The main advantage of going the Multi-Cloud way is that organizations can "put their eggs in different baskets" and be more versatile in their approach to how they do things. For example, they can mix it up and opt for a cloud-based Platform-as-a-Service (PaaS) solution when it comes to the database, while going the Software-as-a-Service (SaaS) route for their application endeavors.
DevOps
Software development
fromInfoQ
2 months ago

Thinking Like a Detective: Solving Cloud Infrastructure Mysteries

Intermittent, user-visible cloud errors can occur despite green health checks and normal logs; solving them requires methodical tracing across network, client, and infrastructure.
fromInfoWorld
1 month ago

The 'Super Bowl' standard: Architecting distributed systems for massive concurrency

When I manage infrastructure for major events (whether it is the Olympics, a Premier League match or a season finale) I am dealing with a "thundering herd" problem that few systems ever face. Millions of users log in, browse and hit "play" within the same three-minute window. But this challenge isn't unique to media. It is the same nightmare that keeps e-commerce CTOs awake before Black Friday or financial systems architects up during a market crash. The fundamental problem is always the same: How do you survive when demand exceeds capacity by an order of magnitude?
DevOps
fromDbmaestro
4 years ago

What is Database Delivery Automation and Why Do You Need It?

Manual database deployment means longer release times. Database specialists have to spend several working days prior to release writing and testing scripts which in itself leads to prolonged deployment cycles and less time for testing. As a result, applications are not released on time and customers are not receiving the latest updates and bug fixes. Manual work inevitably results in errors, which cause problems and bottlenecks.
Software development
Artificial intelligence
fromInfoWorld
1 month ago

Five MCP servers to rule the cloud

Major cloud providers now offer official MCP servers that let AI agents automate cloud operations using existing cloud credentials and natural language commands.
fromTechRepublic
1 month ago

What Are the Pros and Cons of Data Centers?

When ChatGPT launched in late 2022, I watched something remarkable happen. Within two months, it hit 100 million users, a growth rate that sent shockwaves through Silicon Valley. Today, it has over 800 million weekly active users. That launch sparked an explosion in AI development that has fundamentally changed how we build and operate the infrastructure powering our digital world.
Artificial intelligence
Software development
fromInfoWorld
2 months ago

Why your next microservices should be streaming SQL-driven

Streaming SQL with UDFs, materialized results, and ML/AI integrations enables continuous, stateful processing of event streams for microservices.
Artificial intelligence
fromTechzine Global
1 month ago

IBM FlashSystem: 'Autonomous AI takes over 90% of storage management'

IBM's FlashSystem 5600/7600/9600 integrate agentic AI to autonomously manage storage, reducing management effort up to 90% while optimizing performance, security, and costs.
Artificial intelligence
fromForbes
2 months ago

Is Cloud Becoming AI's Bottleneck? Lenovo's Hybrid AI Strategy Suggests It Might Be

AI must be deployed via hybrid architectures that place intelligence across devices, edge, private infrastructure, and cloud to ensure reliable, governed, and user-centric operation.
fromTechCrunch
2 months ago

Quadric rides the shift from cloud AI to on-device inference - and it's paying off | TechCrunch

The company, which is based in San Francisco and has an office in Pune, India, is targeting up to $35 million this year as it builds a royalty-driven on-device AI business. That growth has buoyed the company, which now has post-money valuation of between $270 million and $300 million, up from around $100 million in its 2022 Series B, Kheterpal said.
Artificial intelligence
Artificial intelligence
fromInfoQ
2 months ago

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A Q-learning agent autonomously learns and generalizes optimal Spark configurations by discretizing dataset features and combining with Adaptive Query Execution for superior performance.
Artificial intelligence
fromTechRepublic
6 months ago

Google Launches New Server to Supercharge AI Agents

Data Commons MCP Server enables AI agents to access public datasets via the Model Context Protocol, reducing hallucinations and accelerating development of data-rich agent applications.
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