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Dynamic Programming Problems: Learn to Solve Them More Efficiently

DZone

Programming is all about solving issues and problems. There is an end number of programming issues that the developers face when they are writing code for developing a website, applications, or any other type of software. Dynamic Programming. Flood Fill. Shortest Path. Network Flow. Complete Search. Eulerian Path.

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Big / Bug Data: Analyzing the Apache Flink Source Code

DZone

Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. To achieve high reliability, one needs to keep a wary eye on the code quality of projects developed for this area. This engine is written in Java and Scala. So, what is Apache Flink?

Code 150
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. KubeCon North America is this week.

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How OpenFeature — and feature flag standardization —enables high-quality continuous software delivery

Dynatrace

Earlier this year, Dynatrace announced its involvement in the open source feature flagging project OpenFeature that enables fast-paced, high-quality software development. Organizations need to release software at a high velocity to stay competitive as the pace of business accelerates, but they can’t sacrifice software quality for speed.

Software 174
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On Technique

O'Reilly

GitHub Copilot (based on a model named Codex , which is derived from GPT-3) generates code in a number of programming languages, based on comments that the user writes. Going in the other direction, GPT-3 has proven to be surprisingly good at explaining code. In the 1950s, computers were programmed in machine language.

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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. This results in custom solutions that require throw-away work whenever a particular software solution is added or removed.

Analytics 276
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Understanding, detecting and localizing partial failures in large system software

The Morning Paper

Understanding, detecting and localizing partial failures in large system software , Lou et al., Before designing a better system for detecting partial failures, the authors set about understanding their nature and causes through a study of five software systems (ZooKeeper, Cassandra, HDFS, Apache, and Mesos). NSDI’20.

Systems 98