workflows Archives

Winsage

June 19, 2025

You Can Get Microsoft Office 2021 and Windows 11 Pro on Sale for A$84 Right Now

A bundle featuring a lifetime license for Windows 11 Pro and Microsoft Office 2021 is available for a reduced price until July 20 at 11:59 p.m. PT. The Windows 11 Pro activation key allows upgrades on two compatible PCs with at least 4GB of RAM and 64GB of storage. The bundle includes eight Microsoft Office applications: Word, Excel, PowerPoint, Outlook, Teams, OneNote, Publisher, and Access, which can be installed on a single computer with a minimum of 1GB of RAM and 4GB of free hard disk space. Prices are subject to change.

Tech Optimizer

June 19, 2025

5 Backend Tools That’ll Cut Your Dev Time in Half (2025 Stack)

Many developers rely on traditional tools like Redis, RabbitMQ, PostgreSQL, and ORMs due to familiarity, but there are newer alternatives that can improve performance and simplify workflows. 1. **Litefs**: A tool that enables SQLite in production with real-time replication across regions, allowing for global scaling with minimal latency, ideal for edge computing scenarios. 2. **Temporal.io**: A workflow engine that guarantees execution for background jobs, eliminating lost orders or stuck payments, and remembers everything even after crashes. 3. **DragonflyDB**: A drop-in replacement for Redis that is four times faster, capable of handling millions of requests per second with built-in horizontal scaling. 4. **sqlc**: A tool that generates type-safe Go/Postgres code directly from SQL, avoiding ORM complexities and runtime SQL errors. 5. **Benthos**: A tool for connecting Kafka, databases, APIs, and WebSockets using simple YAML configuration, supporting over 200 integrations. 6. **Earthly**: A CI/CD tool that combines Docker and Makefile for deterministic builds, ensuring reproducible builds and avoiding common CI pipeline failures.

Tech Optimizer

June 17, 2025

EnterpriseDB targets AI development with latest update

EnterpriseDB has introduced new features for its EDB Postgres AI platform, including a low-code/no-code environment for application development and enhanced data observability across various databases. The platform, launched in May 2024, integrates relational and non-relational data, automates data pipelines, and supports multiple workloads. The new capabilities aim to improve the success rate of AI projects, which face an estimated 80% failure rate in transitioning from development to production. The updates include tools for managing PostgreSQL databases in hybrid cloud and on-premises environments, Transparent Data Encryption for security, and an analytics engine optimized for AI workloads. EnterpriseDB's enhancements were influenced by customer feedback, focusing on maximizing the value of existing data and supporting GenAI workflows. The company plans to expand its AI ecosystem and enhance its competitive position within the PostgreSQL community.

Winsage

June 15, 2025

I’ve used a lot of Windows launchers, but this is the best one by far

Flow Launcher is a desktop productivity tool for Windows 11 that excels in speed, opening instantly with a keyboard shortcut and providing audio cues. It features an extensive library of plugins, allowing users to enhance functionality with ease, including pre-installed plugins for searching bookmarks, managing files, and executing system commands. The plugin store offers a variety of extensions, catering to diverse needs, including tools for OneNote, Spotify, and gaming. Flow Launcher is highly customizable, enabling users to adjust extension functions, search result priorities, and activation shortcuts. It also allows the creation of custom hotkeys for quick access to frequently used tools, such as an enhanced clipboard history.

Tech Optimizer

June 13, 2025

Microsoft Data Loss Prevention (DLP): Tips to Protect Your Business Following the Latest Outage

Microsoft attributed a recent global outage affecting various digital infrastructures to a "CrowdStrike update," which disrupted multiple applications including OneDrive, OneNote, Outlook, PowerBI, Microsoft Teams, and others. Users experienced issues such as synchronization failures and access difficulties. The incident highlights vulnerabilities in supply chains that organizations rely on for managing sensitive data, which can be targeted by cyber threats. Data Loss Prevention (DLP) is a feature within Microsoft Purview designed to protect sensitive information from unauthorized disclosure. DLP policies can monitor user activity and take protective actions like alerting users about inappropriate sharing, blocking sharing attempts, or relocating data to secure locations. DLP can be applied across various platforms, including Office 365 applications and Windows endpoints. The DLP lifecycle includes planning and deployment phases, where organizations assess data to be monitored and ensure policies do not disrupt workflows. Monitoring and reporting tools provide insights into policy matches and incidents, helping organizations refine their DLP efforts. However, DLP has limitations, including false positives, user resistance, and challenges in detecting data leakages through new communication channels.

Tech Optimizer

June 13, 2025

Postgres and the Lakehouse Are Becoming One System — Here’s What Comes Next

Developers are increasingly using Postgres for application needs alongside lakehouse technologies for analytics and data science. Postgres has evolved into a versatile operational database suitable for various applications, while lakehouse technologies enable organizations to manage and analyze large-scale data efficiently. There is a growing synergy between these systems, although they often operate in silos managed by different teams. An emerging architectural paradigm views Postgres and lakehouses as complementary layers within a modular framework to address both operational and analytical requirements. Historically, OLTP systems were used for transactions and OLAP systems for analysis, but this model is shifting. Scenarios such as financial applications requiring real-time risk reports and SaaS applications calculating usage metrics are becoming standard. Effective communication between product-engineering teams managing operational systems and data teams overseeing lakehouse services is essential for enhancing system resilience. A trend called operational medallion architecture incorporates bronze, silver, and gold layers for real-time and user-facing systems. The bronze layer consists of raw data, the silver layer contains cleaned data in Postgres for real-time analytics, and the gold layer features pre-aggregated data for low-latency experiences. Each layer is queryable, allowing for bidirectional data movement between S3 and Postgres. Key developments facilitating the integration of operational databases and lakehouses include the maturation of Iceberg as a flexible table format, the evolution of Postgres with support for various data types and querying capabilities, and a growing demand for composability among developers. The market is moving towards modular, open, and developer-friendly architectures that integrate operational and analytical layers. Future data infrastructure will focus on interconnected components and coherent modern data architecture that serves both operational and non-operational use cases seamlessly.

Tech Optimizer

June 13, 2025

Databricks opens up agentic AI pipelines, fills in Postgres-powered Lakebase

Databricks has introduced advancements at its user conference, focusing on agentic AI pipelines and a Postgres-powered Lakebase. The Lakebase streamlines data management and analytics by combining PostgreSQL with Databricks' data lake architecture. The agentic AI pipelines automate data workflows, allowing organizations to gain AI-driven insights with minimal manual intervention. Key features include automated workflows that reduce processing time, enhanced data management through a familiar relational database experience, and the ability to extract actionable insights using advanced AI capabilities.

Tech Optimizer

June 12, 2025

‘Postgres Has Won’

Databricks has launched Lakebase, a fully managed Postgres database, during the Data + AI Summit 2025. Lakebase is currently in public preview and integrates with Databricks' Data Intelligence Platform, targeting AI-driven application development. It introduces an operational layer to the lakehouse ecosystem, allowing developers to build AI applications on a multi-cloud platform. The database architecture, powered by Neon, separates compute from storage for independent scaling, ensuring low latency and high concurrency. Lakebase supports rapid deployment and a usage-based pricing model, and features include copy-on-write clones for development and testing. Databricks aims to create a new category in the database market with Lakebase, which is built on open-source Postgres and compatible with existing tools. The operational database market is valued at over 0 billion, and recent surveys indicate PostgreSQL's rising popularity among developers. The launch follows Snowflake's acquisition of Crunchy Data to enhance its Postgres offerings, indicating a trend towards PostgreSQL in the industry.

Tech Optimizer

June 12, 2025

Databricks launches Lakebase Postgres database for AI era

Databricks has launched Lakebase, a fully managed Postgres database designed for AI applications, currently in Public Preview. It integrates an operational database layer into Databricks' Data Intelligence Platform, facilitating the development of data applications and AI agents in a multi-cloud environment. Lakebase uses Neon technology within a lakehouse architecture, allowing for efficient real-time data processing and scalable operations. Key features include independent scaling of compute and storage, low latency under 10 milliseconds, high concurrency over 10,000 queries per second, rapid launch times under a second, and a consumption-based payment model. It also offers data synchronization with lakehouse tables, an online feature store for machine learning, and is managed entirely by Databricks with built-in security features. During its Private Preview, Lakebase attracted participation from hundreds of enterprises across various sectors. It is supported by a partner network including Accenture, Deloitte, and others, and will receive further enhancements in the coming months.

Tech Optimizer

June 11, 2025

Databricks Launches Lakebase: a New Class of Operational Database for AI Apps and Agents

Databricks has launched Lakebase, a fully-managed Postgres database that integrates operational and analytical systems for AI-driven applications. Lakebase is part of the Databricks Data Intelligence Platform and is currently in Public Preview. It utilizes Neon technology for continuous autoscaling, enabling low latency and high concurrency. Key features include separated compute and storage, an open-source foundation, AI optimization, lakehouse integration, and enterprise readiness. Early adopters are using Lakebase to enhance various business processes, and it is supported by a partner network for data integration and governance.