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Observability-Driven Development vs Test-Driven Development

DZone

One well-known example is PhonePe, which experienced a 2000% growth in its data infrastructure and a 65% reduction in data management costs with the implementation of a data observability solution. This approach provides a comprehensive system view, allowing for a thorough investigation and analysis.

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Matching Supply With Demand — Solutions, Part 3

SQL Performance

1 D 5.000000 2 D 3.000000 3 D 8.000000 5 D 2.000000 6 D 8.000000 7 D 4.000000 8 D 2.000000 1000 S 8.000000 2000 S 6.000000 3000 S 2.000000 4000 S 2.000000 5000 S 4.000000 6000 S 3.000000 7000 S 2.000000. The idea to use a full outer join based on a predicate that compares the demand and supply running totals is a stroke of genius!

C++ 138
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Leveraging ServiceNow & Dynatrace to automate Incident Management and Problem Remediation

Dynatrace

Dynatrace brings its power to ServiceNow , the Incident Management platform of choice for today’s Global 2000 , by enabling companies to digitize and automate these critical processes. . Davis p inpoints pr ecise r oot cause .

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AIOps and digital transformation modernize BT

Dynatrace

According to an IDC report, for example, 90% of global 2000 CIOs will use AIOps technologies and automated remediation to improve cost and performance metrics as well as resiliency and agility. Data indicates that increasingly C-level executives recognize the importance of joining AIOps and digital transformation.

Cloud 214
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Matching Supply With Demand Challenge

SQL Performance

is matched for Demand 3 and Supply 2000, leaving 2.0 of Demand 3 and depleting supply 2000. A quantity of 3.0 is matched for Demand 2 and Supply 1000, depleting both Demand 2 and Supply 1000. A quantity of 6.0 A quantity of 2.0 is matched for Demand 3 and Supply 3000, depleting both Demand 3 and Supply 3000. A quantity of 2.0

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Fixing Misplaced Rows in a Partitioned Table

Percona

mysql> SELECT * FROM salaries where emp_no=10001 and from_date='1999-06-23'; + --+ --+ + + | emp_no | salary | from_date | to_date | + --+ --+ + + | 10001 | 84917 | 1999-06-23 | 2000-06-22 | + --+ --+ + + 1 row in set (0.00 sec) But once the data is misplaced, it does not return any rows.

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Increased focus for your teams with fine-grained access control for your Prometheus, StatsD, and Telegraf metrics

Dynatrace

Below are some example measurements ( Github ) for this business metric, streaming in each minute: business.revenue ,shop=shop23,city=”New York”,region=”useast”,country=”US” 2000. business.revenue ,shop=shop06,city=”Seatle”,region=”uswest”,country=”US” 5000. business.revenue ,shop=shop17,city=”San Diego”,region=”uswest”,country=”US” 1000.

Metrics 213