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

Dynatrace

One key to augmenting DevSecOps collaboration is to take a platform approach that converges observability and security with big data analytics that can scale without compromising data fidelity. Learn how to automate DevSecOps at scale.

Cloud 180
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. warehouses to glean business insights for jobs, ad spend, or financials for mobile apps.

AWS 90
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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. Kik Interactive is a Canadian chat platform with hundreds of millions of users around the globe.

AWS 155
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Where programming languages are headed in 2020

O'Reilly

Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. ” What lies ahead? ” What lies ahead?

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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. What is cloud monitoring? Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use.

Cloud 217
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Conducting log analysis with an observability platform and full data context

Dynatrace

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations.

Analytics 180
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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. And this expansion shows no sign of slowing down.

Analytics 227