AWS Azure Best Practices DevOps 
Dynatrace
SEPTEMBER 13, 2023
If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.
Dynatrace
NOVEMBER 22, 2021
Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources.
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Dynatrace
NOVEMBER 11, 2021
Given the importance of this conversation for various organizations, IT modernization is the focus of AWS re:Invent 2021. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.
Abhishek Tiwari
JULY 22, 2023
These policies encompass a wide range of concerns, including security best practices, data protection measures, industry regulations, privacy laws, accessibility requirements, and internal organizational policies. Restricting access to specific AWS services based on defined IAM roles.
Dynatrace
NOVEMBER 20, 2023
At the AWS re:Invent 2023 conference, generative AI is a centerpiece. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. Enter causal AI.
High Scalability
DECEMBER 3, 2019
By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. But, did you know that adding indexes to your tables in itself is an expensive operation, and may take a long time to complete depending on the size of your tables?
O'Reilly
OCTOBER 19, 2021
As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? How can you start applying the stack in practice today?
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