latency Archives

Winsage

June 20, 2025

Windows 10 is dying as scams skyrocket. We asked a security expert for advice

In this week's episode of The Full Nerd, hosts Adam Patrick Murray, Alaina Yee, Will Smith, and guest Mike Danseglio discuss the end of Windows 10 and its security implications, the rise of scams, and various online security concerns. They explore user transitions to Windows 11, Linux, and vulnerabilities in communication methods. A recent vulnerability allows hackers to steal encryption keys from AMD Ryzen CPUs, prompting firmware updates for users of the Ryzen 3000 series or newer. Asus Armoury Crate users are advised to update due to a critical flaw that could grant hackers administrative rights. Cloud gaming is gaining traction among gamers under 40, provided latency issues are resolved. DDR4 memory prices are rising, indicating a decline of AMD’s AM4 platform. Anker has recalled older power banks due to fire hazards, and Framework has launched a new 2-in-1 DIY laptop. AMD has shared promising benchmarks for its upcoming Ryzen Threadripper 9000 series.

Winsage

June 20, 2025

How Uniphore achieved 30% cost savings by modernizing Windows servers on AWS

Uniphore is an AI innovation company that faced challenges with its legacy Windows Server infrastructure, which was costly and raised security concerns due to its end-of-support status. To modernize, Uniphore utilized Amazon Web Services (AWS) for containerization and cloud-native solutions, achieving a 30% reduction in costs and improved operational capabilities. The migration involved transitioning from 50 bare-metal Windows Server 2008 R2 instances to a Linux environment on AWS, optimizing call-center analytics workloads and enabling better training of large language models. The modernization strategy included three key areas: application modernization through refactoring and containerization, a custom data migration solution using Type 2 hypervisor technology, and a cloud infrastructure setup with Amazon EC2, Amazon EKS, Amazon EFS, and Amazon S3. The migration was executed in three phases: deploying the hypervisor and DataSync agent, secure data migration and validation, and production cutover with application deployment. Best practices adopted during the process included Infrastructure as Code (IaC) with Terraform, CI/CD pipelines using GitLab, comprehensive monitoring with DATADOG and CloudWatch, and enforcement of AWS Backup policies. The modernization resulted in benefits such as improved scalability and performance, flexibility and portability of applications, enhanced security and compliance, efficient data management, reduced operational overhead, and significant cost savings.

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 14, 2025

Striim Announces Neon Serverless Postgres Support with Databricks

The integration of real-time data for AI applications is crucial, but traditional ETL processes can introduce latency and complexity. Open-source Postgres is a popular choice for developers, and Neon has developed an AI-driven approach to database creation. Databricks has launched Lakebase, a managed Postgres database, after acquiring Neon. Striim has expanded its Postgres offerings to facilitate high-throughput ingestion from Neon into Databricks for real-time analytics and enables rapid data delivery from legacy systems into Neon. This allows for seamless data flow for AI applications, including support for real-time ingestion, Change Data Capture (CDC), and event streaming from Apache Kafka. Striim's platform supports operational data replication from various traditional systems and upholds data governance with AI-driven PII detection. This expansion enhances partnerships with Databricks and supports real-time SQL Server data access.

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 12, 2025

Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks

The demand for real-time data in artificial intelligence is increasing, but integrating data from legacy systems poses challenges due to traditional ETL pipelines that can introduce latency. Open-source Postgres is favored for operational needs, and Neon offers a new approach to database creation using AI agents. Databricks has launched Lakebase, a managed Postgres database for AI applications, after acquiring Neon. Striim has expanded its Postgres offerings to enable high-throughput data ingestion from Neon into Databricks for real-time analytics and supports rapid data delivery from legacy systems into Neon. Striim's platform allows real-time replication of operational data from various traditional systems to Neon, real-time ingestion into Databricks, and enhances generative AI applications with inline data enrichment. Alok Pareek from Striim highlighted the importance of this expansion for Postgres-native teams to build real-time AI architectures. Striim also supports Databricks Delta Lake and SQL2Fabric-X for real-time SQL Server data access. Striim's platform processes over 100 billion daily events with sub-second latency, aiding proactive decision-making.

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

Lakebase Is Databricks’ Fully-Managed Postgres Database for the AI Era

Databricks has launched Lakebase, a fully-managed serverless Postgres database, following its acquisition of Neon. Lakebase combines the extensibility of Postgres with a modern serverless architecture, facilitating a unified data experience for developing data-driven applications while reducing operational complexities. Its core feature is the separation of storage and compute, allowing it to use cost-effective object storage for scalability and high availability, with low-latency access and high-concurrency transactions. Lakebase is built on open standards, making it a versatile relational database that integrates with the Databricks Platform for enhanced observability, security, and governance. Prior to the acquisition, 80% of databases on Neon were created by AI agents, and Lakebase's features are designed to support AI agents in problem-solving. Lakebase is currently in public preview.

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.