Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. They explained how AI-powered, full-stack observability into multicloud environments enables DevOps teams to tame multicloud complexity so they can deliver better software faster. Apps need to work on the same data sets.

Azure 252

Azure AWS DevOps Cloud 252

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 217

Serverless Azure Monitoring Lambda 217

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

NOVEMBER 17, 2020

An effective solution to this problem must be able to handle scale, depth, breadth, and heterogeneity across the software lifecycle. The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. This is where Dynatrace comes into play.

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

OCTOBER 3, 2024

By contextualizing data, OpenPipeline enhances the Dynatrace platform’s ability to offer AI-driven insights, analytics, and automation across observability, security, software lifecycle, and business domains. Furthermore, OpenPipeline is designed to collect and process data securely and in compliance with industry standards.

Cloud 299

Cloud Lambda AWS Analytics 299

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Manually maintaining dependencies among components doesn’t scale.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

FEBRUARY 13, 2020

Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. Analysis and Anomaly Detection of Business KPIs.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 246

Artificial Intelligence Analytics Cloud Innovation 246

Dynatrace

OCTOBER 2, 2024

Digital workers are now demanding IT support to be more proactive,” is a quote from last year’s Gartner Survey Understandably, a higher number of log sources and exponentially more log lines would overwhelm any DevOps, SRE, or Software Developer working with traditional log monitoring solutions.

Azure 244

Azure DevOps Infrastructure Cloud 244

Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Support diverse analytics workloads.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Consider Log4Shell, a software vulnerability in Apache Log4j 2 , a popular Java library. For example, credit card numbers are excluded by default.”

Design 246

Design Storage Programming Analytics 246

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

SEPTEMBER 27, 2024

As modern agile software development relies heavily on automated CI/CD pipelines to swiftly build and deploy releases multiple times daily, these pipelines must be reliable and high-performing. Consequently, troubleshooting issues and ensuring seamless software deployment becomes increasingly tricky. Normalization of data on ingest.

Government 246

Government DevOps Azure Scalability 246

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. IDPs can eliminate much of the administrative minutiae that stalls development projects.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. Based on the W3C open standard Trace Context , OpenTelemetry standardizes telemetry data from multiple sources, so organizations have the capacity to deeply analyze software behavior and performance.

Open Source 246

Open Source Analytics Lambda Metrics 246

Dynatrace

JUNE 15, 2021

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. And the last sentence of the email was what made me want to share this story publicly, as it’s a testimonial to how modern software engineering and operations should make you feel.

AWS 246

AWS Traffic Architecture Azure 246

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI? What is AIOps?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

High Scalability

FEBRUARY 8, 2019

Mark Fontecchio : we find that more companies are turning to HR software and the data it contains for strategic insights. According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data.

Internet 188

Internet Internet Scalability Wireless 188

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service.

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Standards are set by the platform engineers and ensured throughout all stages of the software development lifecycle. According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. This is where the Dynatrace Software Intelligence platform comes in. How can I mitigate the negative effects of the anomaly?

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

High Scalability

JANUARY 11, 2022

FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points. The data model will look something similar to: User_id -> List. Streaming Data Model. a new like, comment, etc.).

Design 334

Design Media Storage Logistics 334

Dynatrace

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 245

Cloud Open Source Architecture Monitoring 245

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace extends contextual analytics and AIOps for open observability. A resource guide to Dynatrace and AWS for AWS re:Invent.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Servers 69

Scalegrid

JUNE 11, 2019

There are many more opportunities to customize your infrastructure with an on-premise setup, but requires a significant upfront investment in hardware and software computing resources, as well as on-going maintenance responsibilities. with a surprising lead over Azure at 10.8%. of all cloud deployments from this survey.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Scalegrid

FEBRUARY 8, 2024

Speedier access to stored information within distributed storage is achieved by leveraging software-defined storage solutions and strategies like sharding or distributing sections of large databases and improving scalability by dividing tasks among many servers.

Storage 130

Storage Systems Big Data Azure 130

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Many respondents acquired certifications.

Azure 145

Azure Programming AWS Social Media 145

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Modern software systems at scale are incredibly complex ever changing environments. This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Software engineers represent the largest cohort, comprising almost 20% of all respondents (see Figure 1 ). Respondent Demographics.

Cloud 144

Cloud Serverless AWS DevOps 144