Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 229

DevOps Metrics Engineering Speed 229

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 231

DevOps Traffic Efficiency Servers 231

Dynatrace

NOVEMBER 11, 2022

A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. What you need to know for root cause analysis.

DevOps 193

DevOps C++ Serverless Processing 193

Dynatrace

FEBRUARY 2, 2023

Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies. This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation.

Analytics 214

Analytics Metrics DevOps Storage 214

Dynatrace

OCTOBER 17, 2024

The newly introduced Network devices and Details view within Hosts provide comprehensive health status information, relevant networking signals, and machine metrics—all analyzed and provided by the industry-leading combination of Dynatrace Grail™ data lakehouse and Davis ® AI. Overview of a cloud-hosted frontend web application.

Infrastructure 217

Infrastructure Network DevOps Metrics 217

Dynatrace

JANUARY 4, 2024

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics 177

Metrics Open Source Tuning Infrastructure 177

Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Too many SLOs create complexity for DevOps. With many pipelines to maintain, DevOps teams need automated orchestration. Dynatrace news.

Open Source 200

Open Source DevOps Cloud Metrics 200

Dynatrace

SEPTEMBER 4, 2020

This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 252

DevOps Metrics Innovation Azure 252

Dynatrace

APRIL 28, 2021

Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. Answers provided by built-in Dynatrace Release Analysis. How Release Analysis works. Services and metrics that show version information will be added.

Software 243

Software Software Strategy Metrics 243

Dynatrace

OCTOBER 21, 2021

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. But there is a lack of time for DevOps , SRE , and developers to analyze all this data to identify whether there’s a user impacting problem and if so – what the root cause is to fix it fast. Dynatrace news.

Metrics 228

Metrics DevOps Engineering Strategy 228

Dynatrace

MARCH 16, 2022

Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. 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 226

Metrics Lambda Infrastructure Monitoring 226

Dynatrace

JUNE 3, 2022

But this is often not as intuitively simple as it should be in other solutions where DevOps teams must click through a series of screens and dashboards to get to the root cause. For DEM problems, the business impact analysis shows the number of users that are potentially impacted by a problem. How to get started.

Metrics 234

Metrics Mobile IoT Monitoring 234

Dynatrace

NOVEMBER 1, 2022

To effectively and efficiently get mobile apps out the door, monitor their performance, and manage subsequent releases, mobile DevOps practitioners can play an integral role. DevOps tasks become significantly more manageable with an all-in-one platform that offers automated instrumentation and AI capabilities out of the box.

Mobile 130

Mobile DevOps Monitoring Traffic 130

Dynatrace

OCTOBER 2, 2024

Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. Dynatrace Grail™ and Davis ® AI act as the foundation, eliminating the need for manual log correlation or analysis while enabling you to take proactive action.

Analytics 247

Analytics AWS DevOps Cloud 247

Dynatrace

APRIL 4, 2023

” For stakeholders wanting to dig deeper into application health, clicking a node brings up new metrics and information, such as ownership and service-level objectives. ” The post Ensure application resilience with AI-driven application health analysis appeared first on Dynatrace news.

Education 226

Education Monitoring C++ Design 226

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. 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.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

MAY 6, 2024

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Davis AI root cause analysis is used to pinpoint the problem, entity, and root cause. In-context topology identification.

DevOps 294

DevOps Software Engineering Games Java 294

Dynatrace

DECEMBER 2, 2020

As the new standard of monitoring, observability enables I&O, DevOps, and SRE teams alike to gain critical insights into the performance of today’s complex cloud-native environments. The post Gartner: Observability drives the future of cloud monitoring for DevOps and SREs appeared first on Dynatrace blog.

DevOps 158

DevOps Monitoring Cloud Artificial Intelligence 158

Dynatrace

OCTOBER 3, 2024

And when outages do occur, Dynatrace AI-powered, automatic root-cause analysis can also help them to remediate issues as quickly as possible. Hypermodal AI fuels automatic root-cause analysis to pinpoint the culprit amongst millions of service interdependencies and lines of code faster than humans can grasp.

Availability 235

Availability DevOps Analytics Cloud 235

Dynatrace

MAY 24, 2023

This blog post explains how Davis can help reduce your MTTR (mean time to resolve) using interactive user guidance that retains context when drilling deeper into problem analysis. Select any entry in the side panel to navigate to the corresponding metric, in context. Usually, the journey doesn’t stop here.

Artificial Intelligence 199

Artificial Intelligence DevOps Metrics Software 199

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 230

Open Source Metrics Cloud Transportation 230

Dynatrace

JULY 22, 2024

If you work in software development, SRE, or DevOps, you’ve likely heard the terms observability, telemetry, and tracing. Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics.

Latency 245

Latency Best Practices Metrics Open Source 245

Dynatrace

JUNE 20, 2022

In response, organizations have adopted additional security tools, such as software composition analysis, that scan code libraries for vulnerabilities. To handle the increasing complexity of open source software, software composition analysis (SCA) has become an important tool. What is software composition analysis?

Open Source 228

Open Source Software Software Code 228

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 204

Best Practices DevOps Energy Innovation 204

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 215

DevOps Metrics Engineering Analytics 215

Dynatrace

AUGUST 27, 2024

Leveraging code-level insights and transaction analysis, teams can detect and thwart malicious activity. Automated business impact analysis Organizations can use the Dynatrace platform to analyze and automate business analysis, like the business impact analysis required for DORA incident reporting.

Best Practices 276

Best Practices Government DevOps Analytics 276

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 213

Monitoring Software Software DevOps 213

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. That’s why good communication between SREs and DevOps teams is important.

Best Practices 233

Best Practices DevOps Latency Metrics 233

Dynatrace

JULY 25, 2024

In addition, their logs-heavy approach to analysis made scaling processes complex and costly. By over-rotating on log analysis, Spier and his team were missing the value, cost savings, and productivity that come from having metrics, traces and logs all in one place and in context. “And these layers tend to be similar.

Strategy 237

Strategy Engineering Open Source Java 237

Dynatrace

APRIL 6, 2022

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 teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 241

DevOps Innovation Infrastructure Cloud 241

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. CloudOps: Applying AIOps to multicloud operations.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Amazon Data Firehose helps stream logs to the right destination But your SREs and DevOps engineers know CloudWatch is not the terminal destination for data but rather an intermediate station.

Cloud 262

Cloud Lambda AWS Analytics 262

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. Establish realistic SLO targets based on statistical and probabilistic analysis.

Software 276

Software Software Benchmarking Latency 276

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail — blog Log management and analytics are key to any company’s observability strategy. DevOps metrics and digital experience data are critical to this.

Efficiency 287

Efficiency Performance Analytics DevOps 287

Dynatrace

SEPTEMBER 5, 2024

The more data ingestion channels you provide to the Dynatrace Davis® AI engine, the more comprehensive Dynatrace automated root cause analysis becomes. This integration with AWS Firehose simplifies observability by removing intermediary components, which allows seamless log capture and analysis directly in the Grail data lakehouse.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

Dynatrace

APRIL 21, 2022

In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. DevOps teams are challenged to rapidly identify the root cause of issues without support from database administrators. MS SQL Services (via WMI). …and more! Get started now!

Database 244

Database DevOps Analytics Servers 244