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Security by design enhanced by unified observability and security

Dynatrace

At financial services company, Soldo, efficiency and security by design are paramount goals. The platform helps companies manage corporate spending using automation, card (physical and virtual), and integrations with expense management systems and enterprise resource planning (ERP) systems, such as Netsuite, Concur, Zucchetti, and so on. “We

Design 223
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.

DevOps 189
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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. More in the following sub-section.)

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Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. This not only underscores the universal significance of data, it also hints at its pivotal role within DevOps.

DevOps 198
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Accelerate and empower Site Reliability Engineering with Dynatrace observability

Dynatrace

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. Embracing the tenets of DevOps and DevSecOps methodologies anchored in engineering principles.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Why did something break?

DevOps 137
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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code. Hard on DevOps.