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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 183
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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 240
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 186
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Security by design enhanced by unified observability and security

Dynatrace

We believe at Soldo that efficiency is the key value to be very successful in the business we run,” said Luca Domenella, head of cloud operations and DevOps at Soldo. The visibility extends through smartphone applications, load balancers, web application firewalls (WAFs), and databases. Because you can’t recover everything in a moment.”

Design 216
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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Advances Application Security with Real-Time Attack Detection and Blocking.

Code 181
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Lessons learned from enterprise service-level objective management

Dynatrace

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. So, what did they do?

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Managing hybrid cloud infrastructure with an observability platform

Dynatrace

That’s why hybrid cloud architecture is a key tool in the arsenal for organizations striving to grow, modernize, and innovate. build microservices-based architecture. Below that depicts which applications are causing failures and how many users have been affected, so DevOps teams can identify which problems to fix first.