SaaS Archives

Tech Optimizer

June 9, 2025

Streamline Amazon Aurora database operations at scale: Introducing the AWS Database Acceleration Toolkit

The AWS Database Acceleration Toolkit (DAT) is an open-source solution that enhances database performance, particularly for Amazon Aurora, by utilizing Terraform for setup, provisioning, and maintenance. DAT helps organizations reduce time to market, improve customer satisfaction, and optimize costs. It is beneficial for DevOps teams, SaaS providers, and enterprises transitioning from commercial databases to Aurora. One example of its effectiveness includes a customer reducing database migration time from 12 months to 4 weeks for over 100 databases, achieving zero outages over six months, increasing database team productivity by 60-70%, and lowering infrastructure costs by 42%. DAT's architecture includes automated resource provisioning and security through Terraform, with source code available in a Git repository. It offers multiple provisioning options for Aurora clusters, including the Terraform CLI and Jenkins pipelines. Key modules include: - Aurora cluster module for creating new clusters with customization options. - Amazon RDS Proxy for enhancing application performance and security. - Aurora GlobalDB for creating clusters across AWS Regions for disaster recovery. - Aurora Monitoring for configuring CloudWatch dashboards to monitor database performance. Use case examples are provided in the Git repository for both Aurora PostgreSQL-Compatible and Aurora MySQL-Compatible engines. Deployment options include using Terraform directly, setting up a new Jenkins instance, or integrating with an existing Jenkins setup. To provision an Aurora PostgreSQL cluster, users must clone the DAT repository, navigate to the appropriate folder, configure the Terraform variable definition file, initialize the working directory, execute a plan, and apply the changes. Security features include customer-managed keys, integration with AWS Secrets Manager for password management, and enhanced monitoring through CloudWatch. To clean up, users can destroy the Aurora cluster with a Terraform command.

Tech Optimizer

June 7, 2025

Amazon Aurora DSQL Goes GA: Distributed, PostgreSQL-Compatible Serverless Database

Amazon has launched Amazon Aurora DSQL, a PostgreSQL-compatible and serverless database solution designed for active-active high availability and multi-region strong consistency. It features a disaggregated architecture with independent components that scale based on workloads. Aurora DSQL offers 99.99% availability within a single region and 99.999% in multi-region deployments, with automatic recovery from failures. It supports microservices, event-driven architectures, and multi-tenant SaaS applications. All read and write operations maintain consistency across regional endpoints. The service includes a new billing unit called the Distributed Processing Unit (DPU) and supports essential relational features, although some PostgreSQL features are not supported. Aurora DSQL has expanded its availability to more regions and introduced new features, including PostgreSQL views and AWS Backup. A free tier is available, covering 100,000 DPUs and 1 GB-month of storage monthly.

Tech Optimizer

June 4, 2025

Snowflake to acquire Crunchy Data to enhance Postgres for AI

Snowflake plans to acquire Crunchy Data, a provider of open-source Postgres technology, to enhance its AI Data Cloud with a new database platform called Snowflake Postgres. This platform will offer PostgreSQL compatibility while ensuring governance, security, and operational standards for enterprise-grade AI applications. The demand for secure, enterprise-ready PostgreSQL solutions has increased, and the integration of Crunchy Data is expected to meet these needs, particularly in regulated environments like FedRAMP. PostgreSQL is widely adopted, with 49% of developers using it, and Snowflake's Postgres offering aims to streamline the development and scaling of AI applications. Crunchy Data will bring features such as access to performance metrics, scalable architecture, and a user-friendly interface. Organizations using PostgreSQL, including Snowflake partners like Blue Yonder and LandingAI, are expected to benefit from improved development and operational efficiency. Snowflake will support Crunchy Data's existing customers post-acquisition and engage with the PostgreSQL community. Snowflake Postgres will be available in private preview, pending regulatory approvals.

Tech Optimizer

June 4, 2025

Snowflake Buying Crunchy Data To Help Enterprises Deploy Compliant AI Agents

Snowflake plans to acquire Crunchy Data, a provider of open-source Postgres technology, to integrate Snowflake Postgres into its AI Data Cloud. This acquisition aims to offer an enterprise-grade, AI-ready PostgreSQL database with strong governance and security for mission-critical AI applications. Snowflake Postgres will be fully compatible with production applications, enhancing capabilities within the AI Data Cloud by leveraging Crunchy Data’s reputation for enterprise readiness in FedRAMP-compliant environments. PostgreSQL is favored by 49% of developers, and Snowflake Postgres will simplify building, deploying, and scaling production-ready AI applications. Customers like Blue Yonder and LandingAI will benefit from accelerated operations and enhanced efficiency through this integration. Snowflake aims to support the Postgres community and existing Crunchy Data customers, unifying transactional and analytical data within a single database. Key stakeholders from both companies express confidence in the acquisition's potential to enhance security and operational capabilities for enterprise organizations.

Tech Optimizer

June 3, 2025

Snowflake to buy Crunchy Data to enhance its AI Data Cloud

Snowflake intends to acquire Crunchy Data, a developer of cloud-based database software, with the deal potentially valued at around [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: AI Data Cloud company Snowflake has announced its intention to acquire Crunchy Data, a notable developer of cloud-based database software. While specific financial details remain undisclosed, sources cited by CNBC suggest that the deal could be valued at around 0 million. Enhancing AI Capabilities with Snowflake Postgres The acquisition is set to bring Snowflake Postgres into the fold, an AI-ready, enterprise-grade PostgreSQL database designed with developers in mind. This new offering aims to ensure full compatibility with Postgres while adhering to the governance, security, and operational standards essential for mission-critical AI applications. By integrating Crunchy Data’s technology, which is recognized for its enterprise readiness in FedRAMP-compliant environments, Snowflake Postgres will simplify the processes of developing, deploying, and scaling production-ready AI agents and applications. This enhancement is expected to significantly benefit customers and partners, including Blue Yonder and LandingAI, who rely on PostgreSQL for their operational data needs. Paul Laurence, co-founder of Crunchy Data, emphasized the company's commitment to stringent security and comprehensive compliance, stating, “Our deep-rooted commitment to stringent security and comprehensive compliance has made us the trusted Postgres partner for organisations across regulated industries, including federal agencies, Fortune 500 financial institutions, and high-scale SaaS companies.” Upon the acquisition's completion, Snowflake plans to continue supporting the Postgres community and existing Crunchy Data customers, while seamlessly integrating the latter’s capabilities into Snowflake Postgres. Vivek Raghunathan, senior vice president of Snowflake Engineering, articulated the company’s vision: “Our vision is to deliver the world’s most trusted and comprehensive data and AI platform to our customers. Today’s announcement of our proposed acquisition of Crunchy Data represents another reason why Snowflake is the ultimate destination for all enterprise data and AI needs.” The completion of this acquisition is contingent upon regulatory approvals and customary closing conditions. Earlier this year, in February 2025, Snowflake unveiled the Silicon Valley AI Hub at its Menlo Park campus, which boasts nearly 30,000 square feet dedicated to fostering the AI community." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"] million. The acquisition will integrate Crunchy Data’s technology into Snowflake Postgres, an AI-ready PostgreSQL database, enhancing its compatibility and compliance for mission-critical AI applications. Snowflake aims to support the Postgres community and existing Crunchy Data customers post-acquisition. The deal is subject to regulatory approvals and customary closing conditions.

Tech Optimizer

June 2, 2025

Postgres Pro OpenTelemetry сollector

Alexey has developed the pgpro-otel-collector, an OpenTelemetry collector by PostgresPro, designed to gather metrics and logs from PostgreSQL databases. It collects PostgreSQL metrics using an internal metrics library, OS-level metrics such as CPU and memory usage, and PostgreSQL logs in CSV and JSON formats. The collector includes internal processors for batch processing and supports exporting to OTLP-compatible backends like Elasticsearch and Prometheus. Installation is straightforward, requiring configuration of the Postgres connection and data destination. The collector can gather a range of PostgreSQL statistics and supports advanced features like CFS and pg_wait_sampling. Future enhancements include support for additional system views, integration with Shardman and BiHA, collection of custom query-based metrics, and a Grafana dashboard. Alexey's background includes experience with various monitoring tools and a focus on PostgreSQL, leading to the creation of this collector.

AppWizard

May 22, 2025

ROIBest Launches Breakthrough Android PWA Solution to Accelerate Global App Growth and Maximize ROI

ROIBest has launched an Android Progressive Web App (PWA) solution designed to help businesses expand globally while reducing risks and enhancing ROI. This solution allows companies to bypass traditional app store limitations and advertising constraints, addressing challenges such as app store dependency and ad account bans. The PWA supports third-party payments without needing app store approval and can be installed directly from a browser link. ROIBest's platform includes features like browser fingerprinting for user journey monitoring, code obfuscation to reduce ad account suspensions, and integration with demand-side platforms and SMS marketing providers. ROIBest's applications are present on one in eight Android devices globally, making them compatible with new devices and browsers. The PWA solution is particularly beneficial for industries like gaming, e-commerce, social media, and AI tools, which face rapid user acquisition needs and compliance challenges.

Tech Optimizer

May 21, 2025

Achieve up to 1.7 times higher write throughput and 1.38 times better price performance with Amazon Aurora PostgreSQL on AWS Graviton4-based R8g instances

Upgrading to Graviton4-based R8g instances with Aurora PostgreSQL-Compatible 17.4 in an Aurora I/O-Optimized cluster configuration results in significant performance improvements. The new instances provide up to 1.7 times higher write throughput, 1.38 times better price-performance, and reduce commit latency by up to 46% on r8g.16xlarge instances and 38% on r8g.2xlarge instances compared to Graviton2-based R6g instances. The Amazon Aurora PostgreSQL-Compatible Edition now supports AWS Graviton4-based R8g instances and PostgreSQL 17.4, which introduces performance enhancements for I/O-Optimized configurations, optimizing write operations and batch processing. R8g instances offer up to 192 vCPUs and 1.5 TB of memory, supporting larger configurations and providing up to 50 Gbps of network bandwidth. PostgreSQL 17 includes vacuum improvements, eliminates the need to drop logical replication slots during upgrades, and expands SQL/JSON standards. Aurora PostgreSQL-Compatible separates compute from storage, enabling independent scaling and maintaining six-way replication for durability, while processing changes as log records to reduce I/O operations. Performance benchmarks using HammerDB show improvements in throughput and commit latency across various workloads. For small workloads on 2xlarge instance size, throughput increased by 50.25% and commit latency improved by 33.87%. For medium workloads on 16xlarge instance size, throughput increased by 30% and commit latency improved by 17.44%. The most significant performance benefits arise from combining hardware upgrades from Graviton2 to Graviton4 with database engine upgrades from PostgreSQL 15.10 to 17.4. For small workloads, throughput increased by 70% and commit latency improved by 38.71%. For medium workloads, throughput increased by 70% and commit latency improved by 46.67%. Cost efficiency is also enhanced, with a 38% improvement in price performance and a 61.26% improvement in price-performance ratio when comparing Graviton2 and Graviton4 instances. Reserved Instances for Graviton4-based R8g instances offer additional cost-optimization opportunities.

Winsage

April 18, 2025

Your Windows 10 PC isn’t dead yet – this OS from Google can revive it

On October 14, 2025, Windows 10 will reach its end of life, affecting users with older PCs that cannot upgrade to Windows 11. ChromeOS Flex is a free operating system by Google designed to modernize older Windows PCs and Macs, offering a fast and secure alternative built on Chromium OS. It does not support standalone Windows applications but allows access to Microsoft 365 and other SaaS applications via web portals. ChromeOS Flex focuses on security with features like automatic updates and data encryption, and it has never experienced a reported ransomware attack. The minimum system requirements include an Intel or AMD x86-64-bit compatible device, 4 GB of RAM, 16 GB of internal storage, and the ability to boot from a USB drive. To install ChromeOS Flex, users must back up their files, create a USB installation drive using the Chromebook Recovery Utility, and boot from the USB drive to test compatibility before proceeding with a full installation.

Tech Optimizer

April 18, 2025

Breached Identities and Infostealers: One of the Largest Ongoing Data Leak in History

Breached identities due to infostealer malware are a significant threat to corporate information security in 2024. Infostealers are a type of remote access trojan that exfiltrate sensitive data, including saved credentials, session cookies, browser history, crypto wallet information, screen captures, and host data. Infections often stem from downloading cracked software, malicious advertising, fake Windows updates, and repackaged games. Infostealers do not require local administrative privileges, making them easy to execute. Threat actors primarily aim to profit from breached bank accounts and crypto wallets, often bypassing multi-factor authentication by targeting session cookies. They also seek credentials for subscription services and corporate access. Research shows that 90% of breached companies had leaked corporate credentials in a stealer log, with 78% experiencing leaks within six months of a breach. In comparison, 76% of similar companies without breaches had experienced a corporate stealer log compromise. The investigation identified high-criticality credentials from various corporate applications, indicating that a single user often has access to multiple credentials. The rise of infostealer malware represents a broad threat, encompassing a wide range of sensitive data. Organizations are advised to implement strategies such as restricting download privileges, avoiding illegal content, disabling macros, and regularly updating software to mitigate risks associated with infostealer malware.