#tigerfs

#tigerfs

Apache Kafka has cemented itself as the de facto platform for event streaming, often referred to as the 'universal data substrate' due to its extensive ecosystem that enables connectivity and processing capabilities.

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.

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.

As businesses contend with ever-increasing data volumes and performance-intensive applications such as AI model training, AI inferencing and high-performance computing, they need infrastructure that delivers speed, scalability and efficiency without added complexity.

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...

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.

The new version combines lower costs with improved cybersecurity and offers up to 2 petabytes of storage in a 2U rack space. Companies are struggling with explosive data growth, increasing cyber threats, and limited budgets. Dell Technologies is responding to this with PowerStore 4.3, a platform that addresses storage challenges without compromising performance or security. The latest version brings innovations that double storage density and reduce energy costs.

Databricks today announced the general availability of Lakebase on AWS, a new database architecture that separates compute and storage. The managed serverless Postgres service is designed to help organizations build faster without worrying about infrastructure management. When databases link compute and storage, every query must use the same CPU and memory resources. This can cause a single heavy query to affect all other operations. By separating compute and storage, resources automatically scale with the actual load.

Ring the bells, sound the trumpet, the Linux 6.19 kernel has arrived. Linus Torvalds announced that "6.19 is out as expected -- just as the US prepares to come to a complete standstill later today, watching the latest batch of televised commercials." Because while the big news in Linux circles might be a new Linux release, Torvalds recognizes that for many people, the "big news [was] some random sporting event." American football, what can you do?

Uber has built HiveSync, a sharded batch replication system that keeps Hive and HDFS data synchronized across multiple regions, handling millions of Hive events daily. HiveSync ensures cross-region data consistency, enables Uber's disaster recovery strategy, and eliminates inefficiency caused by the secondary region sitting idle, which previously incurred hardware costs equal to the primary, while still maintaining high availability. Built initially on the open-source Airbnb ReAir project, HiveSync has been extended with sharding, DAG-based orchestration, and a separation of control and data planes.

A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?

R2 SQL now supports SUM, COUNT, AVG, MIN, and MAX, as well as GROUP BY and HAVING clauses. These aggregation functions let developers run SQL analytics directly on data stored in R2 via the R2 Data Catalog, enabling them to quickly summarize data, spot trends, generate reports, and identify unusual patterns in logs. In addition to aggregations, the update introduces schema discovery commands, including SHOW TABLES and DESCRIBE.

"For example, we used to spend 1-2 months physically building secure environments," he wrote. "In the current Flava security environment, resources can be provisioned in minutes, but accessing those servers can still require roughly 10 separate workflows, such as creating VDI accounts or setting up Box folders for data exchange. Because these steps involve approvals, the end-to-end lead time can still be as long as two months."

A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."

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.

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.

Snowflake and Google Cloud are deepening their collaboration by integrating the Google Gemini 3 model into Snowflake Cortex AI. Companies can now develop generative AI applications without moving data between platforms. The integration of Gemini 3 into Snowflake Cortex AI marks a significant step forward in both parties' AI strategy. Developers will have access to Google's large language model within Snowflake's secure data environment. This enables building, deploying, and scaling AI agents and generative AI applications without copying or moving data.

Percona recently announced OpenEverest, an open-source platform for automated database provisioning and management that supports multiple database technologies. Launched initially as Percona Everest, OpenEverest can be hosted on any Kubernetes infrastructure, in the cloud, or on-premises. The main goal of the project is to avoid vendor lock-in while still providing an automated private DBaaS. Built on top of Kubernetes operators, it aims to avoid complex deployments that depend on a single cloud provider's technology.