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@secuodsoft started using tool Python , 1 week ago.

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@secuodsoft started using tool PHP , 1 week ago.

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@secuodsoft started using tool Node.js , 1 week ago.

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@secuodsoft started using tool MongoDB , 1 week ago.

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@secuodsoft started using tool Java , 1 week ago.

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@secuodsoft created an organization Secuodsoft , 1 week ago.

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@laura_garcia shared a post, 1 week, 1 day ago

Software Developer, RELIANOID

𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟴.𝟱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲!

- 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟴.𝟱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! This release represents a major step forward in 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝘀𝘆𝘀𝘁𝗲𝗺 𝗶𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. - 𝗨𝗘𝗙𝗜 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 – cryptographic verification of the boot chain - 𝗗𝗲𝗯𝗶𝗮𝗻 𝗕𝗼𝗼𝗸𝘄𝗼𝗿𝗺 𝟭𝟮.𝟭𝟯 𝗯𝗮𝘀𝗲 + 𝗞𝗲𝗿𝗻𝗲𝗹 𝟲.𝟭.𝟭𝟱𝟵-𝟭-𝗻𝗼𝗶𝗱𝟬 - 𝗛𝗦𝗧𝗦..

relianoid_enterprise_edition_8.5_release

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@viktoriiagolovtseva shared a post, 1 week, 1 day ago

A Git and Jira Integration Guide: How to Connect GitHub, GitLab, and Bitbucket to Jira Cloud

If you ask a developer, product manager, and QA “why integrate your Git repository with Jira,” they will all give different answers. Some like it for reducing context switching and providing automation options, while others value the transparency and improved traceability. But no matter who you ask, everyone is unanimous: this integration is immensely useful for the teams.

In this article, we focus on the most popular Git applications: GitHub, GitLab, and Bitbucket. We explain how to connect them to Jira Cloud and provide you with practical tips on making the most out of this integration. You will learn how to use smart commits, leverage automation, and gain extra value from third-party apps.

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@ashwinisdave shared a post, 1 week, 1 day ago

Developer advocate, Middleware

From Metrics to Meaning: Building Context-Aware Dashboards That Actually Help Debug Production Issues

#DevOps #AI Dash... #observa... #log mon...

Most dashboards show what's happening but not why it matters. Learn how to build context-aware dashboards that actually help engineers debug production issues faster.

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@maydali28 started using tool Terraform , 1 week, 1 day ago.

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).