Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

JUNE 16, 2020

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. Easily achieve a cost-effective IBM Z configuration by monitoring relevant infrastructure metrics.

Innovation 153

Innovation Metrics Infrastructure Programming 153

Dynatrace

MAY 23, 2024

Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. There’s no need for configuration or setup of any infrastructure.

Azure 207

Azure Cloud Metrics Innovation 207

Dynatrace

MAY 21, 2024

I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation. Optimizing costs is a proven way to free up budgets for innovation. Change is my only constant.

Technology 210

Technology Technology Analytics Storage 210

Dynatrace

FEBRUARY 15, 2023

These executives also know teams that can address problems and situations with collaborative data analysis and conduct exploratory analytics have a competitive advantage. This easy, flexible means to visualize and analyze data sets in consumable formats is known as exploratory data analysis.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 227

Open Source Metrics Cloud Transportation 227

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. Our unwavering commitment to open source initiatives underscores our mission to foster transparency, collaboration, and innovation. Innovation from the open source community.

Scalability 273

Scalability Open Source Analytics Innovation 273

Dynatrace

MARCH 15, 2024

Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs. As the name suggests, an OpenTelemetry collector gathers data from multiple sources and sends it to observability backends, like Dynatrace, for analysis.

Open Source 291

Open Source Best Practices Infrastructure Tuning 291

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 212

DevOps Metrics Engineering Analytics 212

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Managed Kubernetes clusters on GKE Autopilot have gained unprecedented momentum among enterprises.

Google 230

Google Cloud Innovation Infrastructure 230

Dynatrace

JANUARY 29, 2024

Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. Stage 2: Remediate Root cause analysis : The observability platform should be able to pinpoint the incident’s root cause.

Best Practices 201

Best Practices DevOps Energy Innovation 201

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment.

Cloud 214

Cloud Strategy Metrics Government 214

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results.

Efficiency 285

Efficiency Performance Analytics DevOps 285

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.

Energy 243

Energy Cloud Airlines Strategy 243

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 216

Speed Software Software Latency 216

Dynatrace

FEBRUARY 27, 2024

During a session at Dynatrace Perform 2024 , Dynatrace colleagues Kristof Renders, director of innovation services, and Brian Chandler, principal solutions architect, demonstrated four BizDevSecOps use cases for the Dynatrace unified observability and security platform. These are all metrics Dynatrace collects directly out of the box.

Best Practices 245

Best Practices Metrics AWS Innovation 245

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. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring 210

Monitoring Software Software DevOps 210

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. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.

DevOps 239

DevOps Innovation Infrastructure Analytics 239

Dynatrace

DECEMBER 5, 2023

No observability, no gains All these factors have made ARM an attractive computing architecture for innovative companies. Even if some part of your codebase can be instrumented to collect observability data, having all three signal types (metrics, traces, and logs) is crucial.

Efficiency 274

Efficiency Architecture Energy Monitoring 274

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Comprehensive platform solutions that provide full-stack monitoring with AI at their core can automatically detect anomalies and provide root-cause analysis to prevent future issues. What is Kubernetes?

Open Source 201

Open Source Storage Analytics Innovation 201

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Observability tools can provide insights into resource utilization metrics, such as CPU usage, memory usage, and network throughput.

Best Practices 242

Best Practices Strategy Cloud AWS 242

Dynatrace

OCTOBER 17, 2022

Teams can address testing and deployment issues automatically, which streamlines continuous integration and continuous delivery pipelines and increases innovation throughput. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution. The deviating metric is response time.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

OCTOBER 14, 2021

A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. Disparate interfaces still require manual intervention and analysis, and in this way, traditional AIOps solutions have essentially become event monitoring tools.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

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. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. What is Lambda? How does Dynatrace help?

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. More than one in seven outages cost more than $1 million. availability.

Best Practices 230

Best Practices DevOps Latency Metrics 230

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. The Dynatrace problem-detection-and-analysis advantage. Log Metrics. Log Metrics.

AWS 226

AWS Transportation Network Traffic 226

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 148

Analytics Innovation Infrastructure Scalability 148

Dynatrace

FEBRUARY 12, 2024

And the Davis AI engine is continuously watching your environment and evaluating the emerging situation, automatically detecting problems, creating automated root-cause analysis for you and business impact analysis for prioritization.” A visual representation of what Davis uses for its own analysis.

Analytics 190

Analytics Artificial Intelligence Engineering Storage 190

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. However, AIOps makes it possible to automate key tasks, such as error detection, alert analysis, and event reporting.

Artificial Intelligence 295

Artificial Intelligence Cloud Innovation Strategy 295

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. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 213

Cache Azure Infrastructure Monitoring 213

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. At every organization, the digital landscape is evolving rapidly, presenting IT operations teams with unique challenges.

Artificial Intelligence 191

Artificial Intelligence DevOps Strategy Open Source 191

Dynatrace

APRIL 20, 2022

This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation. The ability to deliver Google Cloud logs and metrics to Dynatrace. Additional benefits of Dynatrace SaaS on Google Cloud include: Consolidated billing through the Google Cloud Marketplace.

Google 244

Google Availability Cloud Infrastructure 244

Dynatrace

NOVEMBER 9, 2021

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 226

DevOps Innovation Cloud Programming 226

Dynatrace

AUGUST 9, 2023

As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans. This approach addresses classic security-driven log analysis and SIEM use cases, and includes threat hunting and looking for anomalies or IoCs.

Analytics 226

Analytics Metrics Database Storage 226

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Continuous improvement.

Artificial Intelligence 270

Artificial Intelligence DevOps Analytics Engineering 270

Dynatrace

JANUARY 31, 2024

Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. Surveys from our recent Automation Pulse Report underscore this sentiment: 57% of C-level executives say the absence of data observability and data flow analysis makes it difficult to drive automation in a compliant way.

DevOps 201

DevOps Analytics Airlines Metrics 201