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Understanding Azure Function App Metrics

This article will focus on the metrics side of Azure Functions and features offered by the Azure Portal and then talk about the value of Serverless360. Then about the product that provides beyond the primary feature set in the Azure Portal, which will help you improve the day-to-day operations of your Azure solution. There are many different ways you can manage and operate Azure Functions and features like Application Insights which can also help you with Azure Functions.

Cloud Cost Management Demo

Growing cloud costs are a new constraint and challenge for many DevOps, FinOps, and Cloud Platform teams. Cloud Cost Management delivers granular cost data, scoped to the services developers own, so that engineers can take action on cost data. By unifying cost and observability data, engineering teams can quickly understand the root cause of cost changes, identify wasteful spend in their environment, and empower everyone across their organization to become a cost owner.

How To Backup and Restore a SQL Server Database

Currently, there are 212,633 companies that are using Microsoft SQL servers, and this number includes well-known enterprises, such as IBM and Oracle. SQL server databases store all kinds of data, and a significant amount of this data is critical for the performance and success of a business. To prevent data disasters, such as data theft, loss, or destruction, IT teams learn how to backup and restore SQL server databases.

7 SQL Server Backup Types You Need to Know

There are many different types of backup available for organizations to choose from to backup their critical data. Structured query language (SQL) server backups are an essential component of an organization’s backup strategy because it is responsible for copying either a portion of, or entire, databases and storing them in a separate location to protect the data. In this article, we’ll explore what SQL server backup is and the advantages of backing up your SQL server.

Elastic: How to ingest and enrich data for search

Great search experiences are built on top of great data. However, there are some common challenges in bringing all your data to search. Data can live in many places, such as relational databases, webpages, file systems, or network drives. Once you know where your data lives, you may need to think about data freshness, or transformation rules at ingest time. The next set of challenges may involve implementing scheduling logic, defining crawl rules, or setting up content extraction or content manipulation.