Remove Efficiency Remove Open Source Remove Processing
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Catching up with OpenTelemetry in 2025

Dynatrace

As an open-source project, OpenTelemetry sets standards for telemetry data sets and works with a wide range of systems and platforms to collect and export telemetry data to backend systems. Second, it enables efficient and effective correlation and comparison of data between various sources. OpenTelemetry Collector 1.0

Tuning 310
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Three ways to optimize open source contributions

Dynatrace

Because open source software (OSS) is taking over the world, optimizing open source contributions is becoming an essential competitive strategy. However, open source is not a panacea. These considerations are important if developers want to maximize the impact of their contributions to open source projects.

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2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

Scalegrid

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? We broke down the data by open source databases vs. commercial databases: Open Source Databases. Popular examples of open source databases include MySQL, PostgreSQL and MongoDB.

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Dare to debug production with Dynatrace Live Debugger

Dynatrace

A production bug is the worst; besides impacting customer experience, you need special access privileges, making the process far more time-consuming. It also makes the process risky as production servers might be more exposed, leading to the need for real-time production data. This cumbersome process should not be the norm.

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SLOs for Kubernetes clusters: Optimize resource utilization of Kubernetes clusters with service-level objectives

Dynatrace

A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. Kubernetes is a widely used open source system for container orchestration. Efficient coordination of resource usage, requests, and allocation is critical.

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Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is a data lakehouse?