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Plan Your Multi Cloud Strategy

Scalegrid

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. Thinking about going multi-cloud?

Strategy 130
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. Of these open-source observability tools, one stands out. Source: OpenTelemetry Documentation. Dynatrace news.

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Database Migration Plan: Avoiding Common Pitfalls in Open Source Migration

Percona

Many organizations are turning to open source solutions to streamline their operations and reduce costs. Open source migration can be a game-changer, offering flexibility, scalability, and cost-effectiveness. Below, we’ll explore the common pitfalls of open source migration and provide insights on how to avoid them.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Investigating a video streaming failure consists of inspecting all aspects of a member account.

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Advance DevSecOps practices with a vulnerability management strategy

Dynatrace

In this preview video for Dynatrace Perform 2022, I talk to Ajay Gandhi, VP of product marketing at Dynatrace, about how adding a vulnerability management strategy to your DevSecOps practices can be key to handling threats posed by vulnerabilities. ?. Why DevSecOps practices benefit from vulnerability management.

Strategy 202
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Check out the resources below for more information.