A DevOps approach to infrastructure on demand

As DevOps grows in importance in companies, there is an increasing interest in automating the process of building and deploying infrastructure, having as an objective reduce the complexity for non DevOps engineers and making it so that infrastructure is less error prone, which is not the case when doing it manually. This work aims to explore how to build a solution that allows to manage infrastructure on demand while supporting specific services that are relevant for git profiles analysis, such as Sonarqube and Jenkins. Firstly, this work starts by introducing its context, the problem that the solution is trying to solve and the methodology used to develop the solution. On the State-of-the-Art various topics are presented in order to give all the information needed to understand the implementation of the solution, including concepts such as DevOps and Automation, while going over specific technologies such as GraphQL, Docker, Terraform and Ansible. A value analysis was also done to explore what are the main concerns for stakeholders when managing their infrastructure and to define the value of the solution being developed. Lastly, the solution was implemented making use of various technologies and with scalability in mind that would allow it to grow in the amount of services supported with minimum changes. The work is interesting for someone that is interested in DevOps, Infrastructure-as-Code and automation in general.Com o crescimento da importância de DevOps em empresas existe um interesse acrescido em automatizar o processo de construir e de dar deploy de infra-estrutura, tendo como objectivo reduzir a complexidade para engenheiros menos proficientes em DevOps, e construir infraestrutura que é menos propensa a erros, o que não acontece quando feito manualmente. Este trabalho visa implementar uma solução capaz de gerir infra-estrutura a pedido e ao mesmo tempo suportar serviços específicos relevantes para a análise de perfis git, como por exemplo Sonarqube e Jenkins. Em primeiro lugar, este trabalho começa por introduzir o seu contexto, o problema que a solução está a tentar resolver e a metodologia utilizada para desenvolver a solução. No estado da arte são apresentados vários tópicos com a finalidade de fornecer toda a informação necessária para compreender a implementação da solução, incluindo conceitos como DevOps e automação, são também exploradas tecnologias específicas como GraphQL, Docker, Terraform e Ansible. Foi também feita uma análise de valor para explorar quais são as principais preocupações das partes interessadas na gestão das infra-estruturas das suas empresas e para definir o valor da solução que está a ser desenvolvida. Finalmente, a solução foi implementada, recorrendo a várias tecnologias e tendo em mente a escalabilidade da solução que permitiria crescer na quantidade de serviços suportados requerendo alterações mínimas. O trabalho é interessante para alguém que esteja interessado em DevOps, Infraestrutura como código e automatização em geral

Carotene and provitamin A content of vegetables sold in Viçosa, MG, Brazil, during spring and winter

This study investigated the α- and β-carotene content and provitamin A value of four leafy vegetables sold at local and street markets in Viçosa, MG, Brazil, in the spring and winter of 2002. Carotenoids were analyzed by high-performance liquid chromatography. α-Carotene was detected in all samples sold during spring, but was only present in a few samples of smooth and curly lettuce and kale in winter. β-Carotene was found in marked quantities in all leafy vegetables analyzed. Duncan's test (α = 5%) showed significantly higher α-carotene content in curly lettuce and vitamin A value in large-leaved watercress in the spring. Mean β-carotene content and vitamin A value were 7544, 8751, 2584, 2792, 8193, and 5338 μg/100 g and 666, 760, 227, 238, 698, and 460 μg RAE/100 g in large-leaved and hydroponic watercress, smooth and curly lettuce, kale and spinach, respectively. All leafy vegetables analyzed represent important sources of provitamin A and supply an important part of the daily requirements of children and adults.Investigou-se o conteúdo de α e β-caroteno e avaliou-se o valor pro-vitamínico A de quatro hortaliças folhosas comercializadas em mercados locais e feira- livre de Viçosa, MG durante a primavera e o inverno de 2002. Os carotenóides foram analisados por Cromatografia Líquida de Alta Eficiência (CLAE). O α-caroteno foi detectado em todas as amostras analisadas na primavera, porém no inverno, somente algumas amostras de alface crespa e lisa, e couve apresentaram tal carotenóide. O β-caroteno foi encontrado, em quantidades apreciáveis, em todas as hortaliças folhosas analisadas. O teste de Duncan (α=5%) detectou que o conteúdo de α-caroteno em alface crespa e o valor de vitamina A em agrião de folha larga foram estatisticamente superiores na primavera. Os teores médios de β-caroteno e de valor de vitamina A para agrião de folha larga e hidropônico, alface crespa e lisa, couve e espinafre foram: 7544; 8751; 2584; 2792; 8193; 5338 μg/100g e 666; 760; 227; 238; 698; 460 μg RAE/100g, respectivamente. Todas as hortaliças folhosas analisadas constituem importantes fontes de provitamina A e suprem grande parte das recomendações diárias de crianças e adultos

SOIL ERODIBILITY IN AREAS UNDER CITRUS (CITRUS SINENSIS L. OSBECK) AND FOREST IN RONDÔNIA, BRAZIL

Few studies have studied soil erodibility in areas that have undergone conversion processes from native forest to agricultural areas, especially in agricultural frontier regions. The present study aimed to evaluate soil erodibility in areas under citrus (Citrus sinensis L. Osbeck) and forest, using multivariate statistics and geostatistics in areas under different uses in Southern Rondônia, Brazil. A 42 × 30 m grid with regular spacing between sample points of 6 × 6 m was established for the studied native forest and citrus areas at depths of 0.00-0.20 m. At each sampling point, samples with preserved sod structure were collected at the evaluated depth for determination of soil texture and organic carbon, totaling 288 samples in the two studied areas. In the results it was observed that the area cultivated with citrus and under forest presented a greater predisposition of the soil to suffer erosion interril (Kiwepp), the citrus area also presented a greater susceptibility of the soil to suffer erosion in furrows (Krwepp), on the other hand, this area showed high values of critical shear stress, a fact that signals the resistance of the soil to the beginning of the erosive process. On the other hand, the forest area showed a greater predisposition to suffer erosion (K-factor), a fact possibly linked to the high values of silt and sand, which favored the present erodibility conditions

Variação espacial de atributos químicos em terra preta arqueológica sob cultivo de cacau na amazonia ocidental

Archeological Dark Earths (ADEs) are fertility soils that are notoriously superior to the vast majority of soils typical of the Amazon region. The study on ADEs has intensified due to the good characteristics presented by these soils, such as high concentration of nutrients (phosphorus, calcium, magnesium). In this sense, the aim of this study was to evaluate the spatial distribution of soil chemical attributes in an area of black archeological earth soil under cocoa cultivation in the municipality of Apuí (AM). The mapping of a 42 x 88 m mesh, with irregular spacing of 6 x 8 m, totaling 88 points, was carried out, and then soil samples were collected at depths of 0.0-0.05; 0.05-0.10; (pH, O.C, Sto C, (H+Al), P, K, Ca, Mg, SB, CEC and V%). Data were analyzed using descriptive and geostatistical statistics techniques. The mean and median values were adjusted to the near values, indicating normal distribution, while the soil chemical attributes were adjusted to the spherical and exponential semivariograms models. The majority of the attributes presented coefficient of variation (CV) between 12.1 and 60%, characterized as average variability, the variables in the study presented different ranges and most of them had a strong spatial dependence. The geostatistical techniques used allowed the adjustments of the theoretical models that best represented the experimental semivariance, thus enabling the construction of thematic maps of the spatial distribution of the values of the attributes of the studied area. © 2019, Universidade Federal de Uberlandia. All rights reserved

SOIL ERODIBILITY IN AREAS UNDER CITRUS (CITRUS SINENSIS L. OSBECK) AND FOREST IN RONDÔNIA, BRAZIL

Few studies have studied soil erodibility in areas that have undergone conversion processes from native forest to agricultural areas, especially in agricultural frontier regions. The present study aimed to evaluate soil erodibility in areas under citrus (Citrus sinensis L. Osbeck) and forest, using multivariate statistics and geostatistics in areas under different uses in Southern Rondônia, Brazil. A 42 × 30 m grid with regular spacing between sample points of 6 × 6 m was established for the studied native forest and citrus areas at depths of 0.00-0.20 m. At each sampling point, samples with preserved sod structure were collected at the evaluated depth for determination of soil texture and organic carbon, totaling 288 samples in the two studied areas. In the results it was observed that the area cultivated with citrus and under forest presented a greater predisposition of the soil to suffer erosion interril (Kiwepp), the citrus area also presented a greater susceptibility of the soil to suffer erosion in furrows (Krwepp), on the other hand, this area showed high values of critical shear stress, a fact that signals the resistance of the soil to the beginning of the erosive process. On the other hand, the forest area showed a greater predisposition to suffer erosion (K-factor), a fact possibly linked to the high values of silt and sand, which favored the present erodibility conditions

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio