Dynatrace

FEBRUARY 2, 2023

Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. Metric extraction is a convenient way to create your business metrics, delivering fast, flexible, and cost-effective analytics.

Analytics 200

Analytics Metrics DevOps Storage 200

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. documentation.

Technology 216

Technology Technology Metrics Infrastructure 216

Dynatrace

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. Dynatrace ActiveGate extensions allow you to integrate Dynatrace monitoring with any remote technology that exposes an interface. And that’s exactly what Dynatrace provides for key SAP technologies, now including SAP HANA DB. Dynatrace news.

Infrastructure 199

Infrastructure Database Monitoring Metrics 199

Dynatrace

SEPTEMBER 18, 2020

The technology race never stops. Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. Dynatrace news. Read on to see how it works.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

MARCH 29, 2024

The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. This year, Google’s event will take place from April 9 to 11 in Las Vegas.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 186

Software Software Analytics Big Data 186

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 275

Efficiency Performance Analytics DevOps 275

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 191

Energy Artificial Intelligence AWS Lambda 191

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. As an alternative, OpenTelemetry lets you extend Dynatrace technology coverage with log data.

Open Source 214

Open Source Analytics Metrics Cloud 214

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. Logs can then be located in the Kubernetes entity model on the Dynatrace platform, enhancing the observability of your infrastructure and workloads.

Serverless 222

Serverless Analytics AWS Azure 222

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 184

Analytics Java Infrastructure Cloud 184

Dynatrace

MARCH 29, 2023

Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB. This capability allows users to gain more real-time insight into their Google Cloud infrastructure with AI-powered context to automate business and cloud operations decisions.

Google 219

Google Metrics Cloud Analytics 219

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. Dynatrace news.

Database 240

Database DevOps Analytics Servers 240

Dynatrace

JULY 25, 2023

Generative AI drives productivity through AI-powered analytics and automation for all members of your organization. It also guides users who want to observe new technologies or apply advanced configurations. Davis CoPilot™ will be available later in 2023 as a core technology within the Dynatrace platform.

Best Practices 233

Best Practices Analytics Metrics Code 233

Dynatrace

NOVEMBER 22, 2021

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Amazon EC2. AWS Lambda.

Best Practices 210

Best Practices AWS Monitoring Serverless 210

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

SEPTEMBER 23, 2022

To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate. Log management and analytics have become a particular challenge.

Cloud 176

Cloud Artificial Intelligence Innovation Analytics 176

Dynatrace

FEBRUARY 16, 2023

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. and Canada involved with observability, IT service management, and IT automation technologies offers insight into the current status and future of AI in IT operations.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

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. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. What is AIOps?

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. And organizations use Kubernetes to run on an increasing array of workloads. The post What is container orchestration?

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

JANUARY 31, 2024

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. Throughout business history, the advent of pivotal technologies has consistently led to disruptive shifts. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 206

Serverless Lambda Azure AWS 206

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … Because we all [have] constrained IT resources, we can’t just continue to ship new applications and new infrastructure with the same number of resources and expect a good outcome. ….

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

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. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

JULY 10, 2023

The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Director of infrastructure, software sector “ Strong technology and stronger people.

Monitoring 219

Monitoring Retail Performance Government 219

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 224

Lambda AWS Serverless Latency 224

Dynatrace

FEBRUARY 26, 2024

With the proliferation of cloud technologies, our partnerships remain the key to solving the challenges faced by organizations digitally transforming across the globe. Over the last year, the dedication and efforts of Dynatrace partners have laid the foundation for the significant strides we are poised to make together.

Artificial Intelligence 193

Artificial Intelligence IoT Programming Innovation 193

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. They set up private, public, or hybrid cloud infrastructure.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

SEPTEMBER 23, 2022

To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate. Log management and log analytics have become a particular challenge.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147