Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. A typical Azure Monitor deployment, and the views associated with each business goal. Available as an agent installer). How does Dynatrace fit in?

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 154

Analytics Technology Technology Cloud 154

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.” IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 258

Cloud Azure Analytics AWS 258

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 206

AWS Artificial Intelligence Analytics Cloud 206

Scalegrid

FEBRUARY 8, 2024

Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 232

Performance Analytics Mobile Innovation 232

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. ” Three years ago, Tractor Supply Co.

Cloud 168

Cloud Ecommerce Performance Retail 168

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Progressive delivery Next up, Adam Gardner, staff engineer at Dynatrace, talked about using observability for faster innovation in production to enhance new releases.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Enterprises that fail to adapt to these innovations face extinction.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

AUGUST 21, 2023

Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics. Using Dynatrace OneAgent adds automatic data collection and enables user behavior analytics and application security use cases, as well as code-level analytics and profiling.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. This clinic will walk you through Dynatrace’s log monitoring and analytics capabilities, with a specific focus on Kubernetes and cloud-native architectures.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

OCTOBER 1, 2021

An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. These organizational improvements open the door to further innovation and digital transformation. How do you make a system observable?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

NOVEMBER 22, 2021

Dynatrace extends contextual analytics and AIOps for open observability. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. But most of that budget goes toward running the business—not software innovation. AIOps done right. That finding echoes our own research.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. Why is cloud application security so critical?

Cloud 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

APRIL 22, 2022

With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. The advanced observability enables better time to market, efficiency, cloud operations, and lower total cost of ownership than general-purpose data analytics solutions.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. But first, some background. Why containers?

Open Source 298

Open Source Traffic DevOps Cloud 298

Scalegrid

JANUARY 12, 2024

Cloud service providers like AWS Elastic Load Balancing, Azure Load Balancer, Cloudflare Load Balancing as well as GCP Cloud Load Balancing offer different methods of implementing load balancing techniques with algorithms such as static or dynamic routing strategies and round-robin approaches. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 1, 2021

Increased time spent on innovation. Because APM has its roots in the era of monolithic applications before the rise of microservices, open-source technologies, and cloud-native environments, some industry observers have argued that APM platforms lack the innovation and deep-dive capabilities required to keep up with bespoke point solutions.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

JUNE 22, 2020

In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

SQL Server According to Bob

OCTOBER 26, 2017

Analysis Services Innovations in SQL Server 2017. Microsoft Data Platform – SQL Server 2017 and Azure Data Services. Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database. Delivering high performance analytics with columnstore index on traditional DW and HTAP workloads. Microsoft SQL Server 2017 Deep Dive.

Servers 40

Servers Azure Open Source Database 40

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. Stories in Jira automatically synchronize over as functional requirements in qTest Manager for test design. Learn more.

Development 45

Development DevOps Google Innovation 45

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. There is hardly any innovation from traditional CMS vendors. Most of cloud object/blob storage services have native support for static site hosting.

Systems 63

Systems Cache Website Network 63

O'Reilly

NOVEMBER 28, 2023

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. Generative AI will take its place as the ultimate office productivity tool.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.

Architecture 52

Architecture Cache Azure Storage 52