#cloud sql

[govindhtech]

Google Cloud SQL’s Linear Optimization Vector Search Magic

On Google Cloud SQL, linear optimizes data and scalability with vector search capability

The goal of Linear is to enable product teams to deliver excellent software. In order to assist customers in streamlining processes throughout the product development process, They have dedicated the previous several years to developing an extensive project and problem tracking system. Although began as an issue tracker, have developed software into a potent project management tool for users worldwide and cross-functional teams.

For example, Linear Asks streamlines cooperation for users of her platform who don’t have Linear accounts by enabling businesses to handle request processes like bug and feature requests over Slack. Furthermore,Have included a feature called Similar Issues, which keeps duplicate or overlapping tickets at bay and guarantees more accurate and clearer data representation for expanding businesses.

Workflow and product management tools are becoming more and more necessary as clients’ companies expand and they have more users on the platform and problems to monitor. Her goal is to facilitate this expansion while maintaining her high standards for performance, stability, quality, and features that enable intricate technical setups and excellent user experiences.

Looking for a vector search database that is scalable

Google had a PostgreSQL database with the pgvector extension hosted on a PaaS during early development period, however it wasn’t indexed or used for production workloads.They had to update databases to handle production workloads and find a solution that supported vector search, since this is the most effective approach to categorize and detect related problems based on common traits or patterns. They can easily detect related or duplicate concerns by identifying commonalities across the vector representations of the issues. By streamlining bug tracking and assisting customers in resolving problems more successfully, this feature improves processes overall and saves time and resources.

Google Cloud SQL’s Vector Search

Google looked into and ultimately tried a number of the recently launched database products that are specifically designed to store vectors. However, in addition to the comparatively expensive cost for a function that wasn’t essential to the offering, google also encountered issues with indexing speed and excessive downtime while growing. They decided on Google Cloud SQL for PostgreSQL once pgvector support was enabled, considering Linear’s current data volume and objectives for finding an affordable solution. Its dependability and scalability pleased us. The learning curve for team was nonexistent since this decision was also in line with how to now use databases, models, ORMs, etc.

The magnitude and number of vectors had to deal with for the production dataset initially made migration procedure from development to production difficult. But were able to correctly index each division after divided the problems table into 300 chunks. The migration went well and used the typical procedure of building a follower from the current PostgreSQL database.

Linear uses Google Cloud to enable its real-time sync

Today, Google Cloud SQL for PostgreSQL powers main working database.Similarity-search features’ vectors might be stored in a separate database as Google Cloud SQL for PostgreSQL comes with the pgvector extension. This is accomplished by employing OpenAI ada embeddings to encode the semantic meaning of problems into a vector, which is then combined with additional filters to assist in the identification of related and pertinent things.

Linear’s online and desktop clients synchronize with backend in real-time, according to architectural design. they run synchronized WebSocket servers, public and private GraphQL APIs, and background job task runners on Google Cloud.

All of them operate as independently scalable Kubernetes workloads. They are confident in choice of Google Cloud SQL for PostgreSQL as major database option, and whole technological stack is built using NodeJS and Typescript. Google’s managed Memorystore for Redis as a cache and event bus.

Cloud SQL for PostgreSQL allows for future innovation and seamless scalability

For Linear,Google Cloud SQL for PostgreSQL has been quite helpful.they must depend on managed services since lack a dedicated operations staff. It’s great for operations and frees up engineering time to focus on creating user-facing features since it lets us extend database seamlessly into tens of terabytes of data without needing significant technical work.

In addition, They have received positive comments from clients, particularly with respect to Linear’s capability to recognize duplicate problems when they file a bug report. The program now makes suggestions for possible duplication when a user opens a new problem. Furthermore, Linear shows potential relevant defects that have previously been noted while managing client tickets using customer support application connections like Zendesk.

In the future, want to include machine learning (ML) into Linear to improve the user experience, automate processes, and provide smart recommendations within the product. Additionally, dedicated to improving similarity search features and going beyond vector similarity to include other signals in computations. have no doubt that Google Cloud will play a crucial role in assisting us in realizing this goal.

Read more on Govindhtech.com

[simple-logic]

#QuizTime

What helps store large amounts of data efficiently?

A) Cloud ☁️

B) AI 🤖

C) SQL 💾

D) 5G 📶

Comments your answer below👇

💻 Explore insights on the latest in #technology on our Blog Page 👉 https://simplelogic-it.com/blogs/

🚀 Ready for your next career move? Check out our #careers page for exciting opportunities 👉 https://simplelogic-it.com/careers/

[qhsetools2022]

Cloud Data Engineer SQL Python | Devoteam Maroc Nearshore

Job title: Cloud Data Engineer SQL Python | Devoteam Maroc Nearshore Company: Devoteam Job description: compréhension et maintenabilité Mettre en place les tests unitaires et d’intégration pour assurer la qualité du code et déboguer… Quels atouts pour rejoindre l’équipe ? Diplôme d’ingénieur ou équivalent Expert dans le domaine de la Data : 3 à 5 ans… Expected salary: Location: Rabat Job date:…

[nitendratech]

Data Engineering User Guide

Data Engineering User Guide #sql #database #language #query #schema #ddl #dml#analytics #engineering #distributedcomputing #dataengineering #science #news #technology #data #trends #tech #hadoop #spark #hdfs #bigdata

Even though learning about Data engineering is a daunting task, one can have a clear understanding of this filed by following a step-by-step approach. In this blog post, we will go over each of the steps and relevant steps you can follow through as a tutorial to understand Data Engineering and related topics. Concepts on Data In this section, we will learn about data and its quality before…

[awarenesstraffic]

Best Power Bi Course at Naresh IT

Unleash the Power of Data with Naresh IT's Power BI Course

In today's data-driven world, the ability to transform raw data into actionable insights is critical. This is where Power BI comes in. By mastering this powerful business intelligence (BI) tool, you can create compelling visualizations, generate informative reports, and gain a deeper understanding of your business.

Naresh IT offers a comprehensive Power BI course designed to equip you with the skills you need to become a data rockstar. Here's what you can expect:

Dive Deep into Power BI:

Go beyond the basics: The course starts with a solid foundation in BI concepts and the role Power BI plays in transforming data.

Unlock the ecosystem: Learn about the entire Power BI landscape, including Power BI Desktop, Power BI Service, and Power BI Mobile.

Become a data wrangling pro: Master data loading, transformation, and manipulation techniques to prepare your data for analysis.

Craft Compelling Visualizations:

Tell a story with data: Learn how to create impactful charts, graphs, and other visuals that effectively communicate insights.

Go beyond the defaults: Explore customization options to tailor your visuals to your specific needs and brand identity.

Engage your audience: Discover best practices for designing clear and concise dashboards that resonate with viewers.

Empower Data Exploration:

Unleash the power of DAX: Learn Data Analysis Expressions (DAX) to write custom formulas and calculations for deeper data exploration.

Ask questions, get answers: Harness the power of Power BI Q&A to gain insights through natural language queries.

Share your findings: Learn how to effectively share reports and dashboards with colleagues and stakeholders.

Real-World Ready:

Project-based learning: Solidify your learnings through real-world project simulations that mimic practical scenarios.

Expert guidance: Benefit from the knowledge and experience of Naresh IT's industry-expert instructors.

Flexible learning options: Choose between live online classes with or without recorded sessions to fit your schedule and learning style.

Investing in Your Future:

A Power BI course at Naresh IT is an investment in your future. This versatile skillset can open doors to exciting career opportunities in data analysis, business intelligence, and other data-driven fields.

Ready to take the plunge? Visit the Naresh IT website to learn more about their Power BI course and transform your data into a powerful asset.

[thedbahub]

Migrating SQL Server Databases from Google Cloud VM to Azure SQL Server

Introduction Hey there, fellow data enthusiasts! If you’re like me, you’ve probably found yourself in a situation where you need to migrate your SQL Server databases from one cloud platform to another. It can be a daunting task, especially if you’re not sure where to start. But fear not, my friends! Today, I’m going to share with you the best way to import your databases from a Google Cloud VM…

[best-develpoment-company]

Unraveling the Power of Managed Cloud Server Hosting: A Step-by-Step Guide?

In today's digital era, businesses are increasingly turning to "cloud server management solutions" to enhance efficiency, scalability, and security. One of the most sought-after options in this realm is fully managed cloud server hosting. This comprehensive guide will take you through the ins and outs of managed cloud server hosting, providing a step-by-step understanding of its benefits, implementation, and best practices.

Understanding Managed Cloud Server Hosting Managed cloud server hosting refers to the outsourcing of server management tasks to a third-party service provider. This includes server setup, configuration, maintenance, security, updates, and troubleshooting. By "opting for managed cloud hosting", businesses can focus on their core activities while leaving the technical aspects to experienced professionals.

Benefits of Managed Cloud Server Hosting Enhanced Security: Managed cloud server hosting offers robust security measures such as firewalls, intrusion detection systems, data encryption, and regular security audits to protect sensitive data and applications.

Scalability: With managed cloud hosting, businesses can easily scale their resources up or down based on demand, ensuring optimal performance and cost-efficiency.

Cost Savings: By outsourcing server management, businesses can save costs on hiring dedicated IT staff, infrastructure maintenance, and upgrades.

24/7 Monitoring and Support: Managed cloud hosting providers offer round-the-clock monitoring and support, ensuring quick resolution of issues and minimal downtime.

Step-by-Step Implementation of Managed Cloud Server Hosting

Step 1: Assess Your Hosting Needs Determine your storage, processing power, bandwidth, and security requirements. Identify the type of applications (e.g., web hosting, databases, e-commerce) you'll be hosting on the cloud server.

Step 2: Choose a Managed Cloud Hosting Provider Research and compare different managed cloud hosting providers based on their offerings, pricing, reputation, and customer reviews. Consider factors such as server uptime guarantees, security protocols, scalability options, and support services.

Step 3: Select the Right Cloud Server Configuration Choose the appropriate cloud server configuration (e.g., CPU cores, RAM, storage) based on your hosting needs and budget. Opt for features like automatic backups, disaster recovery, and SSL certificates for enhanced security and reliability.

Step 4: Server Setup and Configuration Work with your "managed cloud hosting provider" to set up and configure your cloud server according to your specifications. Ensure that all necessary software, applications, and security protocols are installed and activated.

Step 5: Data Migration and Deployment If migrating from an existing hosting environment, plan and execute a seamless data migration to the "managed cloud server". Test the deployment to ensure that all applications and services are functioning correctly on the new cloud server.

Step 6: Ongoing Management and Optimization Regularly monitor server performance, security, and resource utilization to identify potential issues and optimize performance. Work closely with your "managed cloud hosting provider" to implement updates, patches, and security enhancements as needed.

Step 7: Backup and Disaster Recovery Planning Set up automated backups and disaster recovery mechanisms to protect data against hardware failures, cyber threats, and data loss incidents. Regularly test backup and recovery processes to ensure their effectiveness in real-world scenarios.

Best Practices for Managed Cloud Server Hosting Regular Security Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate potential security risks. Performance Monitoring: Continuously monitor server performance metrics such as CPU usage, memory utilization, disk I/O, and network traffic to optimize resource allocation.

Backup and Restore Testing: Test backup and restore procedures periodically to ensure data integrity and recovery readiness. Compliance and Regulations: Stay compliant with industry regulations and data protection laws relevant to your business operations. Disaster Recovery Planning: Develop and implement a comprehensive disaster recovery plan with predefined procedures for data restoration and business continuity.

In conclusion, "managed cloud server hosting" offers a myriad of benefits for businesses seeking reliable, scalable, and secure hosting solutions. By following the step-by-step guide outlined above and adhering to best practices, businesses can leverage the power of "managed cloud hosting" to streamline operations, reduce costs, and drive business growth in the digital landscape.

[govindhtech]

Bigtable SQL Introduces Native Support for Real-Time Queries

Upgrades to Bigtable SQL offer scalable, fast data processing for contemporary analytics. Simplify procedures and accelerate business decision-making.

Businesses have battled for decades to use data for real-time operations. Bigtable, Google Cloud's revolutionary NoSQL database, powers global, low-latency apps. It was built to solve real-time application issues and is now a crucial part of Google's infrastructure, along with YouTube and Ads.

Continuous materialised views, an enhancement of Bigtable's SQL capabilities, were announced at Google Cloud Next this week. Maintaining Bigtable's flexible schema in real-time applications requires well-known SQL syntax and specialised skills. Fully managed, real-time application backends are possible with Bigtable SQL and continuous materialised views.

Bigtable has gotten simpler and more powerful, whether you're creating streaming apps, real-time aggregations, or global AI research on a data stream.

The Bigtable SQL interface is now generally available.

SQL capabilities, now generally available in Bigtable, has transformed the developer experience. With SQL support, Bigtable helps development teams work faster.

Bigtable SQL enhances accessibility and application development by speeding data analysis and debugging. This allows KNN similarity search for improved product search and distributed counting for real-time dashboards and metric retrieval. Bigtable SQL's promise to expand developers' access to Bigtable's capabilities excites many clients, from AI startups to financial institutions.

Imagine AI developing and understanding your whole codebase. AI development platform Augment Code gives context for each feature. Scalability and robustness allow Bigtable to handle large code repositories. This user-friendliness allowed it to design security mechanisms that protect clients' valuable intellectual property. Bigtable SQL will help onboard new developers as the company grows. These engineers can immediately use Bigtable's SQL interface to access structured, semi-structured, and unstructured data.

Equifax uses Bigtable to store financial journals efficiently in its data fabric. The data pipeline team found Bigtable's SQL interface handy for direct access to corporate data assets and easier for SQL-savvy teams to use. Since more team members can use Bigtable, it expects higher productivity and integration.

Bigtable SQL also facilitates the transition between distributed key-value systems and SQL-based query languages like HBase with Apache Phoenix and Cassandra.

Pega develops real-time decisioning apps with minimal query latency to provide clients with real-time data to help their business. As it seeks database alternatives, Bigtable's new SQL interface seems promising.

Bigtable is also previewing structured row keys, GROUP BYs, aggregations, and a UNPACK transform for timestamped data in its SQL language this week.

Continuously materialising views in preview

Bigtable SQL works with Bigtable's new continuous materialised views (preview) to eliminate data staleness and maintenance complexity. This allows real-time data aggregation and analysis in social networking, advertising, e-commerce, video streaming, and industrial monitoring.

Bigtable views update gradually without impacting user queries and are fully controllable. Bigtable materialised views accept a full SQL language with functions and aggregations.

Bigtable's Materialised Views have enabled low-latency use cases for Google Cloud's Customer Data Platform customers. It eliminates ETL complexity and delay in time series use cases by setting SQL-based aggregations/transformations upon intake. Google Cloud uses data transformations during import to give AI applications well prepared data with reduced latency.

Ecosystem integration

Real-time analytics often require low-latency data from several sources. Bigtable's SQL interface and ecosystem compatibility are expanding, making end-to-end solutions using SQL and basic connections easier.

Open-source Apache Large Table Washbasin Kafka

Companies utilise Google Cloud Managed Service for Apache Kafka to build pipelines for Bigtable and other analytics platforms. The Bigtable team released a new Apache Kafka Bigtable Sink to help clients build high-performance data pipelines. This sends Kafka data to Bigtable in milliseconds.

Open-source Apache Flink Connector for Bigtable

Apache Flink allows real-time data modification via stream processing. The new Apache Flink to Bigtable Connector lets you design a pipeline that modifies streaming data and publishes it to Bigtable using the more granular Datastream APIs and the high-level Apache Flink Table API.

BigQuery Continuous Queries are commonly available

BigQuery continuous queries run SQL statements continuously and export output data to Bigtable. This widely available capability can let you create a real-time analytics database using Bigtable and BigQuery.

Python developers may create fully-managed jobs that synchronise offline BigQuery datasets with online Bigtable datasets using BigQuery's Python frameworks' bigrames streaming API.

Cassandra-compatible Bigtable CQL Client Bigtable is previewed.

Apache Cassandra uses CQL. Bigtable CQL Client enables developers utilise CQL on enterprise-grade, high-performance Bigtable without code modifications as they migrate programs. Bigtable supports Cassandra's data migration tools, which reduce downtime and operational costs, and ecosystem utilities like the CQL shell.

Use migrating tools and Bigtable CQL Client here.

Using SQL power via NoSQL. This blog addressed a key feature that lets developers use SQL with Bigtable. Bigtable Studio lets you use SQL from any Bigtable cluster and create materialised views on Flink and Kafka data streams.

[hiteafr]

CPU à 100% sur des VMs Azure, Bug Azure Workload Backup, Lsass.exe et IaaSWLpluginSvc, Explication et Contournement

Hello les Techies ! Vous avez des VMs Azure ? avec SQL Server ? Avec la sauvegarde SQL in VM activée ? Alors vos VMs on très certainement un CPU à 100% ! La cause ? l'extension Azure Workload Backup Je vous explique tout ça dans mon dernier article :

Hello les Techies ! Depuis fin février un problème est apparu chez plusieurs utilisateurs de Microsoft Azure, le CPU de certaines VMs montant à 100% d’un jour à l’autre ! la cause ? l’extension Azure Workload Backup ! J’ai moi même rencontré ce problème depuis le 27 février que plusieurs VMs Azure, je vous explique ce qui c’est passé et vous livre la solution de contournement proposée pas le…

[thepostgresguy]

The Evolving Role of the DBA

The information industry, database management, AKA DBA (Database Administrator) has undergone significant transformations. Traditionally, the DBA was perceived as the guardian of the database, responsible for ensuring its stability, security, and performance. That bit has not change. However, in today’s data-centric environment, the responsibilities of a DBA have expanded beyond mere…

[qhsetools2022]

Cloud Data Engineer SQL Python | Devoteam Maroc Nearshore

Job title: Cloud Data Engineer SQL Python | Devoteam Maroc Nearshore Company: Devoteam Job description: compréhension et maintenabilité Mettre en place les tests unitaires et d’intégration pour assurer la qualité du code et déboguer… Quels atouts pour rejoindre l’équipe ? Diplôme d’ingénieur ou équivalent Expert dans le domaine de la Data : 3 à 5 ans… Expected salary: Location: Rabat Job date:…

[trendingitcourses]

Azure DevSecOps Training | Azure DevOps Certification course

#Visualpath offers world-class Azure DevOps Certification Training designed for global learners. Master key skills, including:

✔️Building and managing CI/CD pipelines ✔️Version control with Git ✔️Implementing infrastructure as code ✔️Ensuring continuous monitoring ✔️Prioritizing Security?

Our specialized Azure DevSecOps Course equips you to seamlessly integrate security into your DevOps practices. Gain expertise in: 🔒 Automated security testing ✔️ Compliance management 🛠️ Secure coding practices on Azure Get a Free Demo by Calling +91-9989971070 WhatsApp: https://www.whatsapp.com/catalog/919989971070 Visit Blog: https://visualpathblogs.com/ Visit: https://www.visualpath.in/online-azure-devops-Training.html

#AzureDevOps #Azure #DevOps #azuredevopsonline #AzureDevOpsTraining #MicrosoftAzure #azuredevopsdemo #DevSecOps #sonarqube #Dockers #kubernetes #devopsengineer #azurecloud #cloud #cloudcomputing #linux #Visualpath #azurecertification #Microsoft #SQL #AZ104 #visualpathpro #corporateTraining #devopstraining #CareerGrowth

[rajaniesh]

Unlock Data Governance: Revolutionary Table-Level Access in Modern Platforms

Dive into our latest blog on mastering data governance with Microsoft Fabric & Databricks. Discover key strategies for robust table-level access control and secure your enterprise's data. A must-read for IT pros! #DataGovernance #Security

[nwspl]

Best Cloud Server Management Services in Dwarka Delhi By NWSPL

Cloud Server Management refers to the process of overseeing and controlling the various aspects of servers hosted in a cloud computing environment. In a cloud setup, servers are virtualized instances that run on physical hardware maintained by a cloud service provider. Effective management of these cloud servers is essential to ensure optimal performance, reliability, security, and cost efficiency. Here are key components and activities associated with cloud server management:

Provisioning and Deployment:

Description: Cloud server management involves the creation, configuration, and deployment of virtual servers as needed. This includes selecting the appropriate server specifications, operating system, and other settings based on the requirements of the applications or workloads.

2. Resource Scaling:

Description: Cloud environments allow for dynamic scaling of resources. Cloud server management includes the ability to scale server resources up or down based on changing demand. This ensures that the infrastructure can adapt to varying workloads efficiently.

3. Monitoring and Performance Optimization:

Description: Continuous monitoring of server performance metrics is a crucial aspect of cloud server management. Administrators use monitoring tools to track factors such as CPU usage, memory utilization, and network performance. Optimization strategies are then employed to enhance overall efficiency.

4. Security and Access Control:

Description: Ensuring the security of cloud servers is paramount. Cloud server management involves implementing security measures such as firewalls, encryption, and access controls. Administrators define user roles and permissions to restrict access to sensitive data and configurations.

5. Backup and Disaster Recovery:

Description: Cloud service management panel includes the implementation of backup strategies to safeguard data. Administrators set up regular backup schedules and develop disaster recovery plans to mitigate the impact of unforeseen events or data loss.

6. Patch Management and Updates:

Description: Keeping servers up-to-date with the latest patches and updates is critical for security and performance. Cloud server management services in dwarka delhi involves the systematic application of software updates to address vulnerabilities and improve functionality.

7. Cost Management:

Description: Cloud resources come with associated costs. Effective cloud server management includes monitoring resource usage and implementing cost-saving measures. This may involve rightsizing servers, optimizing configurations, and leveraging reserved instances.

8. Automation:

Description: Automation is a key element of cloud server management. Tasks such as provisioning, scaling, and configuration changes can be automated to streamline operations, reduce manual errors, and enhance overall efficiency.

9. Compliance and Auditing:

Description: Cloud server management includes ensuring compliance with industry regulations and organizational policies. Regular audits are conducted to assess and verify that servers adhere to security and compliance standards.

10. Troubleshooting and Support:

Description: In the event of issues or failures, cloud server management involves troubleshooting and providing support to ensure quick resolution. This includes identifying root causes, implementing fixes, and communicating with stakeholders.

In summary, cloud server management is a comprehensive set of activities aimed at maintaining the health, security, and efficiency of servers hosted in a cloud environment. It requires a combination of technical expertise, automation, and strategic planning to effectively leverage the benefits of cloud computing while meeting the specific needs of the organization.

Why Choose NWSPL for Cloud Server Management in Dwarka:

Expertise: Our team comprises seasoned professionals well-versed in the intricacies of cloud server management, offering unparalleled expertise to meet the diverse needs of our clients.

Comprehensive Solutions: From provisioning and scaling to security and compliance, NWSPL provides end-to-end cloud server management solutions, tailored to your specific business requirements.

Innovation: We stay at the forefront of technological advancements, incorporating the latest tools and best practices to keep your cloud infrastructure at the pinnacle of efficiency.

Reliability: Count on NWSPL for reliable, 24/7 monitoring, ensuring that your cloud servers consistently deliver peak performance and are ready to adapt to changing demands.

Cost Optimization: Our strategic approach to cloud server management includes cost-saving measures, ensuring that you get the most value from your cloud investments without compromising on performance.

Client-Centric Approach:��At NWSPL, client satisfaction is paramount. We work closely with our clients, understanding their unique needs and delivering solutions that align with their business objectives.

Cloud Server Management Services:

NWSPL excels in providing best cloud server management services. Whether you are a startup or an established enterprise, our team of experts ensures the seamless operation of your cloud infrastructure. From deployment to maintenance, we handle it all, allowing you to focus on your core business activities.

Managed Cloud Hosting:

Our managed cloud hosting services offer a secure and scalable hosting solution tailored to meet your specific business needs. With NWSPL as your hosting partner, you can enjoy the benefits of high-performance hosting, automatic backups, and 24/7 support, ensuring your website or application runs smoothly without any downtime.

Server Monitoring for Peak Performance:

At NWSPL, we understand the critical importance of server monitoring cloud. Our proactive monitoring services ensure that potential issues are identified and resolved before they impact your operations. This proactive approach to server management guarantees optimal performance and minimizes downtime.

Software as a Service (SaaS):

In the era of cloud computing, NWSPL provides innovative SaaS solutions to streamline your business processes. From collaboration tools to customer relationship management (CRM) systems, our SaaS offerings are designed to enhance efficiency and productivity.

In conclusion, NWSPL in Dwarka, Delhi, stands as a comprehensive solution provider for your digital needs. By combining social media amplification, SEO strategies, and top-tier cloud server management services, we empower your brand to thrive in the dynamic and competitive online landscape. Partner with NWSPL to unlock the full potential of your digital presence and propel your business to new heights.