Dynatrace

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? Two common examples are the number of users affected by a problem or pages with the lowest Apdex scores. While analytics are one challenge, there remains another: silos.

Analytics 171

Analytics Best Practices Metrics IoT 171

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. Therefore, teams need a unified, intuitive approach to data aggregation and analysis. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

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

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time.

Software 259

Software Software Benchmarking Latency 259

Dynatrace

MAY 4, 2021

Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

APRIL 5, 2024

For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps. This enables companies to ingest, analyze, and retain massive quantities of data with powerful analytics and AI-powered answers. Choosing the right observability solution is critical to success in this model.

Cloud 232

Cloud Analytics Monitoring Scalability 232

Dynatrace

MARCH 18, 2024

Organizations use it to collect and send data to a backend, such as Dynatrace, that can analyze software performance and behavior. Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately.

Scalability 259

Scalability Open Source Analytics Innovation 259

Dynatrace

MAY 17, 2023

This is one example of the many use cases we’re exploring. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 256

Innovation Software Software Artificial Intelligence 256

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. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

SEPTEMBER 18, 2020

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. Cloud-based application architectures commonly leverage microservices.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.

Software 192

Software Software Artificial Intelligence DevOps 192

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. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

FEBRUARY 9, 2022

One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Otherwise, contact our Services team.

Code 213

Code Software Software DevOps 213

Dynatrace

FEBRUARY 1, 2024

Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

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. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult. Dynatrace news.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Software development. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

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 179

Engineering Development Infrastructure Cloud 179

Dynatrace

JUNE 27, 2023

We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail. Use Notebooks on the Dynatrace platform to analyze logs from AWS Application Load Balancer.

AWS 195

AWS Cloud Lambda Analytics 195

Dynatrace

JULY 25, 2023

This expansion of Davis AI complements the proven Dynatrace predictive AI model (for example, forecasting and anomalies) and our causal AI model (for example, determination of a problem’s root cause, security risks, user impact, and steering automation), which are at the core of the Dynatrace platform.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

JULY 11, 2023

Dynatrace full stack Red Hat OpenShift observability Dynatrace unifies platform engineering and application teams on a single platform, enhancing software quality and operational efficiency to drive innovation. Having all data in context tremendously simplifies analytics and problem detection.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system. Comparing log monitoring, log analytics, and log management. These two processes feed into one another.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. But organizations face barriers to this convergence.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

APRIL 25, 2023

Innovating with software is happening faster than ever. This is due to a number of factors, including the rise of cloud infrastructure, automation, and an abundance of prebuilt open-source libraries and third-party/supply-chain products. Ensuring secure applications amid rising complexity is a crucial part of this journey.

Government 210

Government Innovation Open Source Traffic 210

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Dynatrace provides analytics and automation for unified observability and security.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. According to GitLab’s 2021 Global DevSecOps Survey , 36% of respondents develop software using DevSecOps, compared with only 27% in 2020. Increased adoption of Infrastructure as code (IaC).

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

FEBRUARY 15, 2023

.* Development teams need automated workflows so they’re not stuck manually monitoring all stages of the software development lifecycle in their cloud environments. An automated workflow, for example, might identify an application issue, send an alert to ServiceNow, generate a help desk ticket, and even trigger a remediation step.

Code 208

Code DevOps Cloud Analytics 208

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. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 217

DevOps Traffic Efficiency Servers 217