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Plan Your Multi Cloud Strategy

Scalegrid

Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.

Strategy 130
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Answer-driven release validation with Dynatrace SaaS Cloud Automation

Dynatrace

As organizations aim for faster delivery of value to their customers, the frequency of releases inevitably increases, which introduces risks and uncertainty into production systems—unless automated tests and quality gates can be leveraged to provide confidence. Now we’re happy to announce the release of Cloud Automation quality gates.

Cloud 237
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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What is application modernization? How to pick an application modernization strategy

Dynatrace

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. These insights help organizations plan for cloud scalability, performance improvements, and business alignment.

Strategy 220
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. What is software automation?

Software 181
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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

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Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats

Dynatrace

Organizations should adopt comprehensive practices that encompass a wide range of potential vulnerabilities and apply them across all their IT systems. It also helps organizations keep pace with the rapid cadence of software releases and the intricacies of multi-cloud environments.