Dynatrace
OCTOBER 17, 2022
Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective.
Dynatrace
NOVEMBER 8, 2021
Artificial intelligence for IT operations (AIOps) for applications. To deliver flawless user experiences, an APM solution should be able to delve into real-user monitoring and synthetic testing, with the ability to replay session-level details. Application discovery, tracing, and diagnostics (ADTD). User experience diagnostics.
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Dynatrace
OCTOBER 1, 2021
Observability is also a critical capability of artificial intelligence for IT operations (AIOps). DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster. Bring observability to everything.
KeyCDN
MARCH 14, 2019
Serverless Applications Managing your own server is so 2018. Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services.
Testsigma
MAY 19, 2021
DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. PaaS not only provides the infrastructure (as in IaaS) but also the framework to build, test and deploy complete software on the cloud.
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