#caching-service

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Software development
fromInfoQ
21 hours 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.
DevOps
fromNew Relic
1 day 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.
Angular
fromMedium
1 day 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
5 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.
fromMedium
6 days ago

Snowflake Supports Directory Imports

With this feature, you can bring entire folders, ML models, dbt adapters, utilities, directly into UDxFs and Stored Procedures without zipping, file-by-file bookkeeping, or manual updates.
Django
DevOps
fromInfoQ
21 hours ago

Istio Evolves for the AI Era with Multicluster, Ambient Mode, and Inference Capabilities

Istio's new capabilities enhance service meshes for AI workloads, simplifying operations and enabling intelligent traffic management across multicluster deployments.
Software development
fromInfoQ
3 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.
#ai-infrastructure
DevOps
fromInfoQ
4 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.
#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.
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.
fromInfoWorld
2 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
DevOps
fromMedium
4 days ago

Fair Multitenancy-Beyond Simple Rate Limiting

Fair multitenancy ensures equitable infrastructure access for customers, balancing simplicity, performance, and safety in shared environments.
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.
Angular
fromInfoQ
2 weeks ago

Mobile Server-Driven UI at Scale

Nubank's mobile platform team manages infrastructure for a digital banking app serving 115 million customers across 40 million daily users, supporting 3,000 engineers developing features in Flutter, iOS, and Android.
#kubernetes
DevOps
fromMedium
4 days ago

Understanding Kubernetes Architecture is a MUST

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

Understanding Kubernetes Architecture is a MUST

Understanding Kubernetes architecture is essential for effective cloud-native deployment and troubleshooting.
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
DevOps
fromTechzine Global
4 days ago

OpenStack Gazpacho simplifies operations and VMware migrations

OpenStack 2026.1 emphasizes operational simplicity, live migration for VMware workloads, and hardware flexibility, positioning itself as a sovereign alternative to major cloud providers.
#neoclouds
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.
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
Web frameworks
fromSubstack
1 month ago

When to Use BFF and Should It Replace API Gateway?

Backend for Frontend (BFF) pattern optimizes APIs for specific client needs, reducing frontend complexity and enabling faster team iteration across multiple platforms.
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.
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

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.
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.
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.
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
fromInfoQ
3 weeks ago

QCon London 2026: Managing Asynchronous APIs at Scale

Event-driven architectures require explicit specifications, governance, and provisioning practices to scale beyond informal ad-hoc approaches, using tools like AsyncAPI to enable discovery, schema consistency, and automated infrastructure deployment.
DevOps
fromMedium
3 weeks ago

The Hidden Cost Centers in Kubernetes No One Tracks-Until the Cloud Bill Explodes

Kubernetes clusters incur hidden costs through idle workloads, oversized resource requests, and poor scheduling practices that drain budgets without delivering proportional value.
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
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.
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.
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
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
fromDevOps.com
3 weeks ago

Zero Downtime Multicloud Migrations for Observability Control Planes - DevOps.com

An observability control plane isn't just a dashboard. It's the operational authority system. It defines alert rules, routing, ownership, escalation policy, and notification endpoints. When that layer is wrong, the impact is immediate. The wrong team gets paged. The right team never hears about the incident. Your service level indicators look clean while production burns.
DevOps
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%.
DevOps
fromInfoQ
3 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.
fromMedium
2 months ago

Fire-and-Forget REST APIs: A TDD Journey.

The request for its API val request = Request[IO](Method.POST, uri"/jobs")val api = new AsyncJobApi // this will not compile since AsyncJobApi is not defined yet Minimal implementation to make it green: class AsyncJobApi Red test: The API should return a 202 Accepted response: "POST /jobs returns Accepted" in { val request = Request[IO](Method.POST, uri"/jobs") val api = new AsyncJobApi api.routes.orNotFound.run(request).asserting : response => response.status shouldBe Status.Accepted} Make it green: class AsyncJobApi { val routes: HttpRoutes[IO] = HttpRoutes.of[IO] : case req @ POST -> Root / "jobs" => Accepted()} 5.2 Add headers (Trivial Implementation) Red test: add X-Total-Count and Location headers with job ID (only the assertion is shown)
Scala
#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%)

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.
#jpa
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.
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.
Data science
fromMedium
3 months ago

The Complete Guide to Optimizing Apache Spark Jobs: From Basics to Production-Ready Performance

Optimize Spark jobs by using lazy evaluation awareness, early filter and column pruning, partition pruning, and appropriate join strategies to minimize shuffles and I/O.
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
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
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
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.
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.
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
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
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.
Artificial intelligence
fromInfoQ
2 months ago

MongoDB Introduces Embedding and Reranking API on Atlas

MongoDB Atlas now offers an Embedding and Reranking API with Voyage AI models, enabling unified semantic search, automated embeddings, and integrated monitoring and billing.
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
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.
fromInfoWorld
2 months ago

Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges, offering faster adaptation to new domains and changing business policies. Databricks' Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help enterprises lower the cost and latency of training LLM-based judges, in turn making AI evaluation scalable and trustworthy enough for production deployments.
Artificial intelligence
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:
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.
Software development
fromInfoQ
1 month ago

The Ideal Micro-Frontends Platform

Micro-frontends apply microservice principles to the frontend, enabling autonomous teams but requiring solutions beyond runtime component loading due to added complexity.
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
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
fromInfoQ
1 month ago

Firestore Adds Pipeline Operations with Over 100 New Query Features

Google has overhauled Firestore Enterprise edition's query engine, adding Pipeline operations that let developers chain together multiple query stages for complex aggregations, array operations, and regex matching. The update removes Firestore's longstanding query limitations and makes indexes optional, putting the database on par with other major NoSQL platforms. Pipeline operations work through sequential stages that transform data inside the database.
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
DevOps
fromInfoWorld
2 months ago

From distributed monolith to composable architecture on AWS: A modern approach to scalable software

Migrating distributed monoliths to a composable AWS architecture yields loosely coupled, autonomous services that improve scalability, resilience, deployment velocity, and team autonomy.
fromMedium
4 months ago

Cut Your Docker Build Time in Half: 6 Essential Optimization Techniques

Docker builds images in layers, caching each one.When you rebuild, Docker reuses unchanged layers to avoid re-executing steps - this is build caching. So the order of your instructions and the size of your build context have huge impact on speed and image size. Here are the quick tips to optimize and achieve 2 times faster speed building images: 1. Place least-changing instructions at the top
DevOps
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