Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 197

Analytics Metrics DevOps Storage 197

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Comparing log monitoring, log analytics, and log management.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 174

Cloud Open Source Architecture Monitoring 174

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Service mesh.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 15, 2023

In the 2023 Magic Quadrant for Application Performance Monitoring (APM) and Observability, Gartner has named Dynatrace a Leader and positioned it highest for Ability to Execute and furthest for Completeness of Vision. 5), DevOps/AppDev (4.08/5), 5), SRE (Site Reliability Engineering)/Platform Operations (4.08/5), 5) Use Cases.

Monitoring 242

Monitoring Performance Analytics DevOps 242

Dynatrace

FEBRUARY 9, 2021

However, today’s highly dynamic cloud-native environments with containers, microservices, and platforms like Kubernetes, make it more challenging to ensure that applications are working as expected and that customers are adopting new features and generating conversions. Optimize mobile app performance and maximize business impact.

Analytics 203

Analytics Mobile Performance Monitoring 203

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. What is a data lakehouse?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. What is software analytics?

Software 184

Software Software Analytics Big Data 184

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. Furthermore, a centralized Kubernetes management view offers extended centralized monitoring and alerting capabilities, particularly for node failure incidents.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

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. Connecting data siloes requires daunting integration endeavors.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Open source solutions are also making tracing harder.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

SEPTEMBER 21, 2023

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and log analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. Enter causal AI.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 243

Cloud Serverless Innovation Architecture 243

Dynatrace

MAY 4, 2021

AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need. AIOps can help.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news.

Monitoring 188

Monitoring Artificial Intelligence DevOps Serverless 188

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Dynatrace news.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Enrich database performance KPIs with business analytics.

Database 239

Database DevOps Analytics Servers 239

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Dynatrace’s Real User Monitoring (RUM) offering provides observability to every end-user that uses your mobile or web applications.

DevOps 201

DevOps Social Media Mobile Metrics 201

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring. Ways to monitor APIs.

Monitoring 175

Monitoring Latency Metrics Availability 175

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities.

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. Teams can also identify issues for users through digital experience monitoring.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

DECEMBER 15, 2022

2: Observability, security, and business analytics will converge as organizations strive to tame the data explosion. To address this, observability, security, and business analytics will converge as organizations consolidate their tools. Observability trend no. Observability trend no.

Artificial Intelligence 248

Artificial Intelligence Analytics Innovation Healthcare 248

Dynatrace

FEBRUARY 15, 2023

Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems.

Code 208

Code DevOps Cloud Analytics 208