#cache-invalidation

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DevOps
fromInfoQ
23 hours 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
1 day 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.
Angular
fromMedium
2 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.
Scala
fromInfoQ
6 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.
DevOps
fromInfoWorld
6 hours 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.
Software development
fromInfoQ
4 days 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.
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.
DevOps
fromNew Relic
2 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.
#ai-infrastructure
fromInfoWorld
3 weeks ago
Business intelligence

Why Postgres has won as the de facto database: Today and for the agentic future

fromTheregister
4 weeks ago
Artificial intelligence

Your datacenter's power architecture called. It's not happy

Accelerated computing demands exceed legacy datacenter power architectures, forcing migration from 48V to high-voltage DC systems to handle extreme power densities and current requirements.
fromTheregister
2 months ago
Tech industry

Supermicro has dodged drama and delivered datacenters

Supermicro's AI-focused GPU systems drove rapid revenue growth to $12.7B in Q2 2026, while gross margins fell to 6.3%.
Business intelligence
fromInfoWorld
3 weeks ago

Why Postgres has won as the de facto database: Today and for the agentic future

Leading enterprises achieve 5x ROI by adopting open source databases like PostgreSQL to unify structured and unstructured data for agentic AI, with 81% of successful enterprises committed to open source strategies.
#apache-spark
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.
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.
DevOps
fromInfoQ
5 days 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
fromMedium
3 weeks ago

Building Consistent Data Foundations at Scale

Building consistent data foundations through intentional architecture, engineering, and governance is essential to prevent fragmentation, support AI adoption, ensure regulatory compliance, and enable reliable organizational decisions at scale.
Remote teams
fromNextgov.com
3 weeks ago

Consolidation in a complex and aging enterprise IT environment

Federal agencies must pursue strategic IT consolidation to manage aging legacy systems while modernizing, requiring strong leadership, disciplined planning, and change management beyond technological decisions.
fromInfoWorld
3 weeks ago

We mistook event handling for architecture

Events are essential inputs to modern front-end systems. But when we mistake reactions for architecture, complexity quietly multiplies. Over time, many front-end architectures have come to resemble chains of reactions rather than models of structure. The result is systems that are expressive, but increasingly difficult to reason about.
React
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
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
fromMedium
5 days ago

Fair Multitenancy-Beyond Simple Rate Limiting

Fair multitenancy ensures equitable infrastructure access for customers, balancing simplicity, performance, and safety in shared environments.
Information security
fromComputerworld
4 weeks ago

Storage vendor offers a real guarantee - but check out those fine-print exceptions

Tech vendors frequently offer performance guarantees with substantial financial penalties, but hidden exceptions in EULAs often make claims difficult or impossible to collect.
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.
fromInfoWorld
4 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
Typography
fromEvery
1 month ago

How to Design Software With Weight

Every's design process prioritizes tactile, tangible interfaces by studying physical objects like vintage radios and light switches to make digital elements feel real and touchable on screen.
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
DevOps
fromInfoQ
1 week 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.
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.
Node JS
fromInfoWorld
1 month ago

Why local-first matters for JavaScript

JavaScript innovation accelerates through local-first SQL datastores, universal isomorphic JavaScript via WinterTC, reactive signals adoption, NPM alternatives, Java-JavaScript bridges, and Deno's resurgence.
fromInfoQ
1 month ago

Hybrid Cloud Data at Uber: How Engineers Solved Extreme-Scale Replication Challenges

Uber's engineering team has transformed its data replication platform to move petabytes of data daily across hybrid cloud and on-premise data lakes, addressing scaling challenges caused by rapidly growing workloads. Built on Hadoop's open-source Distcp framework, the platform now handles over one petabyte of daily replication and hundreds of thousands of jobs with improved speed, reliability, and observability.
Miscellaneous
Science
fromTheregister
1 month ago

Storage for a virtual eternity, but we're not there yet

Microsoft's Project Silica uses femtosecond lasers to store 2TB of data in glass plates, offering a potentially permanent solution to digital preservation compared to fragile magnetic tape storage.
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.
Data science
fromInfoWorld
1 month ago

The revenge of SQL: How a 50-year-old language reinvents itself

SQL has experienced a major comeback driven by SQLite in browsers, improved language tools, and PostgreSQL's jsonb type, making it both traditional and exciting for modern development.
DevOps
fromInfoWorld
1 week ago

Rethinking VM data protection in cloud-native environments

KubeVirt enables Kubernetes to manage both VMs and containers, requiring new strategies for VM lifecycle management and data protection.
fromInfoQ
1 month ago

Read-Copy-Update (RCU): The Secret to Lock-Free Performance

With pthread's rwlock (reader-writer lock) implementation, I got 23.4 million reads in five seconds. With read-copy-update (RCU), I had 49.2 million reads, a one hundred ten percent improvement with zero changes to the workload.
Software 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.
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
fromInfoWorld
2 weeks ago

Designing self-healing microservices with recovery-aware redrive frameworks

A recovery-aware redrive framework prevents retry storms while ensuring all failed requests are eventually processed in complex service systems.
DevOps
fromInfoQ
2 weeks ago

AWS Expands Aurora DSQL with Playground, New Tool Integrations, and Driver Connectors

Amazon Aurora DSQL introduces usability enhancements, including a browser-based playground and integrations with popular SQL tools for improved developer experience.
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
fromInfoWorld
3 weeks ago

Update your databases now to avoid data debt

Multiple major open source databases reach end-of-life in 2026, requiring teams to plan upgrades and migrations to avoid security risks and higher costs.
#distributed-systems
fromInfoQ
2 months ago
Software development

Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types

fromInfoQ
2 months ago
DevOps

Fast Eventual Consistency: Inside Corrosion, the Distributed System Powering Fly.io

fromInfoQ
2 months ago
Software development

Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types

fromInfoQ
2 months ago
DevOps

Fast Eventual Consistency: Inside Corrosion, the Distributed System Powering Fly.io

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.
Tech industry
fromTheregister
1 month ago

Oracle promises new approach to MySQL

Oracle commits to new engineering leadership, developer-focused features, greater transparency, and expanded community engagement to guide MySQL through 2026 and beyond.
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
fromAlex MacArthur
2 months ago

I used a generator to build a replenishable queue.

Ever since writing about them, the generator in JavaScript has become my favorite hammer. I'll wield it nearly any chance I can get it. Usually, that looks like rolling through a finite batch of items over time. For example, doing something with a bunch of leap years: ...or lazily processing some files: In both examples, the pool of items is exhausted once and never replenished. The for loop stops, and the final item returned by the iterator contains done: true. C'est fini.
JavaScript
fromDbmaestro
4 years ago

5 Pillars of Database Compliance Automation |

There is a growing emphasis on database compliance today due to the stricter enforcement of compliance rules and regulations to safeguard user privacy. For example, GDPR fines can reach £17.5 million or 4% of annual global turnover (the higher of the two applies). Besides the direct monetary implications, companies also need to prioritize compliance to protect their brand reputation and achieve growth.
EU data protection
DevOps
fromInfoQ
4 weeks ago

From Minutes to Seconds: Uber Boosts MySQL Cluster Uptime with Consensus Architecture

Uber redesigned MySQL infrastructure using Group Replication to reduce failover time from minutes to seconds while maintaining strong consistency across thousands of clusters.
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
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.
DevOps
fromTechzine Global
3 weeks ago

Everpure brings ActiveCluster to file environments

Everpure expands its Enterprise Data Cloud platform with ActiveCluster for file environments, enabling seamless data movement between systems while maintaining availability and protecting unstructured data critical for AI applications.
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.
Java
fromInfoQ
2 months ago

Java Concurrency from the Trenches: Lessons Learned in the Wild

Practical Java concurrency lessons from a Netflix production project reveal common pitfalls, necessary learning, and pragmatic approaches for application developers.
#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%)

Artificial intelligence
fromInfoWorld
2 months ago

With AI, the database matters again

AI turns databases from passive stores into critical context-assembly layers; reliable data infrastructure, consistency, and fast context retrieval are essential to prevent model hallucinations.
Tech industry
fromTechzine Global
2 months ago

ScyllaDB: We're so over, overprovisioning

ScyllaDB X Cloud provides truly elastic, auto-scaling database capacity to reduce overprovisioning and deliver predictable high-throughput, ultra-low-latency performance.
#jpa
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.
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.
Software development
fromInfoWorld
2 months ago

4 self-contained databases for your apps

XAMPP provides a complete local web stack (MariaDB, Apache, PHP, Mercury SMTP, OpenSSL) while PostgreSQL can be run standalone or embedded via pgserver in Python.
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.
Artificial intelligence
fromMedium
2 months ago

Beyond the Monolith: The Rise of the AI Microservices Architecture

LangGraph models AI interactions as a state-machine graph with persistent state, semantic routing, and microservice agents for robust orchestration.
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
fromInfoQ
1 month ago

[Video Podcast] The Craft of Software Architecture in the Age of AI Tools

Software architecture must be rethought for the age of AI tools, integrating design, platforms, APIs, delivery, and practical experiential guidance for real-world practitioners.
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
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
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
Software development
fromMedium
1 month ago

When Kafka Lag Lies: A Production Debugging Story

Uncommitted Kafka offsets can cause persistent consumer-group lag even when ingestion is low, databases are idle, and no errors are observed.
Software development
fromInfoQ
1 month ago

[Video Podcast] Building Resilient Event-Driven Microservices in Financial Systems with Muzeeb Mohammad

Event-driven architectures using Kafka enable decoupling backend workflows, improving scalability and SLAs for complex multi-system processes like account opening.
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
fromInfoWorld
2 months ago

AI is changing the way we think about databases

Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
Software development
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
fromdeath and gravity
2 months ago

DynamoDB crash course: part 1 - philosophy

A table is a collection of items, and an item is a collection of namedattributes. Items are uniquely identified by apartition key attribute and an optionalsort key attribute. The partition key determines where (i.e. on what computer) an item is stored. The sort key is used to get ordered ranges of items from a specific partition. That's is, that's the whole data model. Sure, there's indexes and transactions and other features, but at its core, this is it. Put another way:
Software development
fromDbmaestro
4 years ago

If You Don't Have Database Delivery Automation, Brace Yourself for These 10 Problems |

Manual database processes break DevOps pipelines; only 12% deploy database changes daily, causing configuration drift, frequent errors, slower time-to-market, and reduced productivity.
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