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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. With the Dynatrace modern observability platform, teams can now use intuitive, low-code/no-code toolsets and causal AI to extend answer-driven automation for business, development and security workflows.

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Article: Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System

InfoQ

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Transparency and scalability. Infrastructure-as-code. Cloud Automation use cases.

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Microservices vs. Monolith at a Startup: Making the Choice

DZone

This decision, seemingly technical at its core, extends far beyond the area of coding, straight into the strategic planning that can make or break the early stages of a startup. The allure of a microservice architecture is understandable in today's tech state of affairs, where scalability, flexibility, and independence are highly valued.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools. What is log management?

Systems 191
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Enhancing Resiliency: Implementing the Circuit Breaker Pattern for Strong Serverless Architecture on AWS

DZone

You write your code, and the cloud provider handles the rest - provisioning, scaling, and maintenance. Scalability: Serverless services automatically scale with the application's needs. Reduced operational overhead: Developers can focus purely on writing code and pushing updates, rather than worrying about server upkeep.

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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. An example of a flame graph can be found below: Each box is a function in the stack, and wider boxes mean more time the system was busy on CPU on these functions. Flame graphs are a graphical representation of function calls.

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