#caching-strategy

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fromInfoQ
2 days ago

Latency: The Race to Zero...Are We There Yet?

In the fintech industry we can link latency directly to profit and money. If I have lower latency than the competition, I can get to the better deals, I can make the better deals.
Venture
DevOps
fromInfoQ
2 days ago

Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities

Google Cloud has made significant technical contributions to PostgreSQL, enhancing logical replication, upgrade processes, and system stability.
Software development
fromDevOps.com
2 days ago

Google's Scion Gives Developers a Smarter Way to Run AI Agents in Parallel - DevOps.com

Scion is an experimental orchestration testbed for managing concurrent AI agents, preventing conflicts and enhancing collaboration.
#cloud-computing
fromComputerWeekly.com
4 days ago
Business intelligence

Hyperscaler datacentres set to dominate by 2031 | Computer Weekly

Hyperscalers are projected to dominate global datacentre capacity, reaching 67% by 2031, driven by AI growth.
fromInfoWorld
2 weeks 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
2 weeks 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.
Angular
fromMedium
6 days ago

A dev's guide to prompting Bit Cloud the right way

Bit Cloud prioritizes a component-first approach, proposing structure before implementation to facilitate better architectural decisions.
Tech industry
fromInfoWorld
5 days ago

Nvidia's SchedMD acquisition puts open-source AI scheduling under scrutiny

Nvidia's acquisition of Slurm raises concerns about potential bias towards its own hardware in workload management.
DevOps
fromInfoQ
4 days ago

Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization

AI-driven crawler traffic poses significant operational challenges for content delivery networks, affecting cache efficiency and resource utilization.
Software development
fromInfoQ
5 days ago

When Every Bit Counts: How Valkey Rebuilt Its Hashtable for Modern Hardware

Redis clones offer opportunities for optimization and learning, but often lack full implementation and reliability essential for caching.
Node JS
fromAlex MacArthur
1 week 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.
#ai
Tech industry
from24/7 Wall St.
6 days ago

Forget Nvidia, These Are the 3 Best Stocks for Solving AI's Bandwidth Bottleneck

High-speed optical interconnects are crucial for AI data centers, surpassing traditional copper solutions in performance and market potential.
DevOps
fromTheregister
3 days ago

AWS put a file system on S3; I stress-tested it

AWS S3 Files allows mounting S3 buckets as NFS shares, providing solid conflict resolution and cost-effective storage options.
Gadgets
fromTheregister
2 weeks 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.
DevOps
fromwww.businessinsider.com
2 days ago

Amazon creates 'Project Houdini' to make data center delays disappear

Amazon's Project Houdini aims to speed up data center construction by moving processes to factories, addressing AI demand and capacity constraints.
Node JS
fromhowtocenterdiv.com
2 weeks 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.
#apache-spark
fromInfoQ
6 days ago
DevOps

Pinterest Reduces Spark OOM Failures by 96% Through Auto Memory Retries

Java
fromMedium
3 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
3 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.
DevOps
fromInfoQ
6 days ago

Pinterest Reduces Spark OOM Failures by 96% Through Auto Memory Retries

Pinterest Engineering reduced out-of-memory failures in Apache Spark workloads by 96% through improved observability, configuration tuning, and automatic memory retries.
#ai-efficiency
Web frameworks
fromSubstack
3 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.
#kubernetes
DevOps
fromInfoWorld
3 days ago

Bringing databases and Kubernetes together

Automating Kubernetes workloads with Operators can provide DBaaS functionality while avoiding provider lock-in.
DevOps
fromInfoWorld
3 days ago

Bringing databases and Kubernetes together

Automating Kubernetes workloads with Operators can provide DBaaS functionality while avoiding provider lock-in.
Data science
fromMedium
1 month 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.
DevOps
fromTechzine Global
3 days ago

Networks that brought us here won't carry us into AI future

Network infrastructure must evolve to support the demands of agentic AI, making a refresh a strategic necessity for organizations.
Roam Research
fromInfoQ
4 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.
DevOps
fromInfoWorld
4 days ago

AWS turns its S3 storage service into a file system for AI agents

S3 Files simplifies access to Amazon S3, enhancing its role as a primary data layer for AI and modern applications.
#ai-infrastructure
fromTechzine Global
4 days ago

AWS S3 buckets now support file systems

S3 Files is built on Amazon EFS and automatically translates file system operations into S3 requests, allowing applications to work with S3 data without code changes.
DevOps
Node JS
fromInfoWorld
3 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.
Artificial intelligence
fromComputerWeekly.com
2 weeks 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
fromNew Relic
6 days ago

6 Network Monitoring Best Practices For Clarity in Distributed Systems

Effective network monitoring prioritizes understanding impact and taking action quickly over merely collecting metrics.
fromTheregister
4 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
Artificial intelligence
fromMedium
2 weeks 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.
fromInfoWorld
1 month 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
DevOps
fromInfoQ
1 week 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.
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.
DevOps
fromInfoWorld
1 week 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.
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.
DevOps
fromTechzine Global
2 weeks 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.
Artificial intelligence
fromInfoWorld
1 month 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.
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.
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.
#neoclouds
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.
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
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.
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
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.
DevOps
fromComputerWeekly.com
3 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.
Artificial intelligence
fromComputerWeekly.com
1 month 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.
#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%)

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.
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.
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.
Software development
fromMedium
2 months 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
fromTheregister
2 months 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.
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
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
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.
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.
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%.
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
fromTechRepublic
2 months 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
2 months 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.
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
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.
fromInfoWorld
2 months 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
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
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
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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