Remove it-ops devops-implementation-challenges
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DevOps in a data science world

Xebia

This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. In practice, many organisations struggle with the implementation of the ‘facilitate’ part. In practice, many organisations struggle with the implementation of the ‘facilitate’ part.

DevOps 130
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Deloitte Safeguards Software Development Lifecycle

Prisma Clud

DevOps teams can conduct various security activities as part of the shift left approach — infrastructure-as-code scanning, container image scanning, secrets scanning and software composition analysis. But, implementing these processes in a complex multicloud environment can prove challenging.

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Improving Security by influencing Human Behavior

Xebia

We all know that the hardening of a system or implementing 2FA does not magically improves the security of an organisation. For a successful implementation of IAM , PKI a holistic approach is needed. Implementing and improving security demands your approach to cover both people, process and technology.

Agile 130
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A Spotlight on the CGS Managed Services Capability

Capgemini

CGS Managed Services has worked with this agency to implement an asset data aggregation and analytics system to track the condition assessments and health score of various transmission assets for maintenance optimization, investment planning and asset failure prevention using the MuleSoft Anypoint platform. Government Solutions Homepage.

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DevOps Enterprise Summit San Francisco 2017 – DevOps Isn’t Just for Dev and Ops

CollabNet VersionOne

As you may know, we just got back from sponsoring DevOps Enterprise Summit San Francisco (DOES17)! Our booth demonstrated how each of our products addresses every step of the SDLC, but we were most excited to share our DevOps product, Continuum, with attendees.

DevOps 40
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DevOps to Ensure Quality in Microservices

Coveros

A modern DevOps approach can help” Your team has followed industry trends and shifted from a monolithic system to a widely distributed, scalable, and highly available microservices architecture. This is a DevOps problem, which means your success is squarely anchored in a DevOps pipeline with a high degree of automated testing.

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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning - AI

Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Using a Git-based SCM pulls these insight together seamlessly.

DevOps 84