Dynatrace
MARCH 18, 2024
Are there rogue servers running in the environment where ITOps, CloudOps, or another team can’t assign or identify who’s financially responsible for it? An organization can ask Dynatrace, “Have you seen any oversized servers over X amount of time?” ” But Dynatrace goes further.
Dynatrace
APRIL 21, 2022
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?
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Dynatrace
APRIL 25, 2023
However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.
Percona
MAY 2, 2023
That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Best practice tip : It is always advisable to use secondary servers for backups to avoid unnecessary performance degradation on the PRIMARY node. Why are MongoDB database backups important?
SQL Performance
AUGUST 14, 2019
This article is the fourth installment in a series about T-SQL bugs, pitfalls and best practices. The focus of this month's article is bugs, pitfalls and best practices related to window functions. In our query plan, we have exactly two rows written to the spool per underlying row, so SQL Server uses the in-memory spool.
Dynatrace
AUGUST 11, 2022
Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. Functional FaaS best practices.
Dynatrace
OCTOBER 10, 2022
Despite the name, serverless computing still uses servers. This means companies can access the exact resources they need whenever they need them, rather than paying for server space and computing power they only need occasionally. If servers reach maximum load and capacity in-house, something has to give before adding new services.
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