Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 241

Cloud Serverless Innovation Architecture 241

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

Dynatrace

JULY 6, 2022

IT automation, DevOps, and DevSecOps go together. DevOps and DevSecOps methodologies are often associated with automating IT processes because they have standardized procedures that organizations should apply consistently across teams and organizations. AI that is based on machine learning needs to be trained.

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. via Jenkins, GitLab, Azure DevOps, Keptn.

AWS 179

AWS Traffic Architecture Azure 179

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 183

Artificial Intelligence Open Source Cloud Analytics 183

Dynatrace

APRIL 5, 2021

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. The growth of Azure cloud computing. How Azure Functions works.

Azure 135

Azure Serverless IoT Lambda 135

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers.

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. Interestingly, multi-cloud, or the use of multiple cloud computing and storage services in a single homogeneous network architecture, had the fewest users (24% of the respondents).

Cloud 141

Cloud Serverless AWS Architecture 141

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JUNE 1, 2021

Application architecture to gain insights into how application architecture changes impact performance and user experience. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. User experience and business analytics. Concrete business benefits.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

Tasktop

JUNE 20, 2019

An Agile organization’s biggest architectural blindspot? Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Its toolchain.

Development 45

Development DevOps Google Innovation 45

Alex Russell

MAY 9, 2022

Teams adopting the [frameworks that are most popular among the "in" crowd]([link] are less reliably delivering acceptably fast sites versus the previous generation of web architectures.[^your-ecommerce-site-is-not-an-spa] through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it.

Performance 86

Performance Latency Metrics Engineering 86