Samuel Santana

Novidade em OCI Streaming with Apache Kafka is a fully managed service that lets you create and run Kafka clusters in a OCI tenancy with all the functionalities of Apache Kafka. https://lnkd.in/djB49N45

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🇧🇷 Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS South America (São Paulo) Region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. https://lnkd.in/dpv4-MN7

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O script abaixo permite que você execute uma consulta gráfica no SQL SERVER para monitorar o uso de CPU de forma SPATIAL na sua instância. Na imagem a seguir, mostro como o gráfico é apresentado na aba Spatial Results. DECLARE @gc VARCHAR(MAX), @gi VARCHAR(MAX); WITH BR_Data as ( SELECT timestamp, CONVERT(XML, record) as record FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR' and record like '%<SystemHealth>%' ), Extracted_XML as ( SELECT timestamp, record.value('(./Record/@id)[1]', 'int') as record_id, record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'bigint') as SystemIdle, record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'bigint') as SQLCPU FROM BR_Data ), CPU_Data as ( SELECT record_id, ROW_NUMBER() OVER(ORDER BY record_id) as rn, dateadd(ms, -1 * ((SELECT ms_ticks FROM sys.dm_os_sys_info) - [timestamp]), GETDATE()) as EventTime, SQLCPU, SystemIdle, 100 - SystemIdle - SQLCPU as OtherCPU FROM Extracted_XML ) SELECT @gc = CAST((SELECT CAST(d1.rn as VARCHAR) + ' ' + CAST(d1.SQLCPU as VARCHAR) + ',' FROM CPU_Data as d1 ORDER BY d1.rn FOR XML PATH('')) as VARCHAR(MAX)), @gi = CAST((SELECT CAST(d1.rn as VARCHAR) + ' ' + CAST(d1.OtherCPU as VARCHAR) + ',' FROM CPU_Data as d1 ORDER BY d1.rn FOR XML PATH('')) as VARCHAR(MAX)) OPTION (RECOMPILE); SELECT CAST('LINESTRING(' + LEFT(@gc,LEN(@gc)-1) + ')' as GEOMETRY), 'SQL CPU %' as Measure UNION ALL SELECT CAST('LINESTRING(1 100,2 100)' as GEOMETRY), '' UNION ALL SELECT CAST('LINESTRING(' + LEFT(@gi,LEN(@gi)-1) + ')' as GEOMETRY), 'Other CPU %'; #sqlserver #microsoftsqlserver #dp300 #sql

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#eoAPI Kubernetes v0.7.0 Release 🚀 🔗 https://lnkd.in/d5FnGYqs At Development Seed, we are excited to announce the release of #eoAPI Kubernetes v0.7.0, a major update that significantly improves the deployment flexibility and operational efficiency of Earth Observation APIs on Kubernetes. This release represents a substantial evolution in our infrastructure management approach, focusing on simplification, standardization, and enhanced user experience. 🌍 https://eoapi.dev/ The v0.7.0 release introduces a unified database deployment strategy, redesigned ingress system, modernized service architecture, and several new integrations that make the platform more adaptable to different deployment scenarios while maintaining robust operational standards. 1. Unified Database Architecture - Flexible PostgreSQL deployment supporting both integrated PGO operator and self-managed deployments - Enhanced PgSTAC bootstrap process using Helm hooks for reliable database initialization - Modernized database setup with cleaner, more efficient configuration - Streamlined database management and operations 2. Ingress System Improvements - New controller-agnostic ingress configuration that works seamlessly with both NGINX and Traefik - Streamlined path management and routing that reduces configuration complexity - Consistent behavior across different deployment environments 3. Service Architecture Enhancements - Refactored service-specific templates for better modularity and maintenance - Improved service organization and dependency management - Enhanced configuration flexibility and customization options 4. New Features - Integrated STAC Browser for intuitive data exploration and visualization - Azure Secret Vault integration enabling secure credential management - ArtifactHub.io integration for simplified package discovery and installation - Upgraded stac-fastapi-pgstac to v5.0.2 with latest STAC improvements This release marks a significant step forward in our mission to provide a robust, flexible, and user-friendly Kubernetes deployment solution for Earth Observation APIs. We encourage all users to upgrade to this version to benefit from these improvements and new features.

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Want to modernize your apps without changing your Network Load Balancer setup? I've co-authored an AWS Containers Blog post with Luis Felipe Silveira da Silva sharing a practical approach to migrating workloads to Amazon EKS while maintaining your Network Load Balancer setup. Learn how TargetGroupBinding enables a controlled, low-risk transition for various application architectures in this Blog post: 🔗 https://lnkd.in/eYGWuVju

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Heads-up: the Azure DevOps team announced they are changing the IP addresses. This might mean you must update your existing firewall rules, routing tables, and more... See the official blog post at: https://lnkd.in/eJSm7kxK #azuredevops

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Sharing a great hands-on resource for anyone working with AWS and Infrastructure as Code (IaC). This document, authored by Nchindo Boris, walks through how to create and manage S3 Buckets with Terraform. It covers: Installing & configuring Terraform Setting up AWS credentials Creating and customizing S3 buckets Using Terraform commands (init, plan, apply) effectively Uploading and managing objects inside S3 with code It’s a clear and practical guide for network engineers, DevOps professionals, or anyone looking to strengthen their Terraform + AWS skills. I’m not the author of this work, but I find it valuable for the community and worth sharing. What other Terraform projects or IaC workflows have you found most useful in real-world deployments? #Terraform #AWS #Cloud #DevOps #InfrastructureAsCode #Networking #smenode #smenodelabs #smenodeacademy

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🚀Multi-Cloud CI/CD with OpenShift Pipelines (Tekton + GitHub Actions)🚀 "The explanation of multi-cloud CI/CD with OpenShift Pipelines and GitHub Actions was very well-structured and easy to follow. I liked how it began with the benefits and challenges of multi-cloud strategies, as it clearly set the context for why CI/CD must evolve in such environments. The detailed overview of Tekton pipelines and their components helped me understand how tasks, pipelines, and triggers fit into real-world workflows. I especially appreciated the architecture flow, which clearly showed how GitHub Actions orchestrates automation while Tekton executes builds and deployments across different cloud providers. The inclusion of security and governance practices, such as secret management, RBAC, and policy enforcement, made it more practical for enterprise use. The best practices section was also very useful, especially around pipeline standardization and observability. Overall, this guide does an excellent job of showing how OpenShift Pipelines and GitHub Actions work together to enable resilient, secure, and scalable multi-cloud CI/CD." 📘Ready to discover more insights on Multi-Cloud CI/CD with OpenShift Pipelines (Tekton + GitHub Actions)? Simply comment "Multi-Cloud CI/CD" & get the document instantly! 📑 #OpnShift #DevOps #Kubernetes #RedHat #CloudNative #CICD #RBAC #Learning #Pipelines 

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Check out our Microsoft Entra IDG Deployment Plan, which includes details on stakeholder involvement, deployment approach, and a communication plan to cover the key metrics of an IGA program. There may be a few elements missing regarding the establishment of an IGA committee or steering committee (SteerCo), as well as the importance and responsibilities of the HR department in defining the identity lifecycle process and ensuring underlying data quality. However, it remains a solid activity plan to review before hitting the "Go-live" button. To compliment it I will soon be launching a small blogpost walking through the general pitfalls that leads to failure within an IGA project, and how to avoid it. Source: https://lnkd.in/dT8CDxgM #Entra #IGA #Deploymentplan

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