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 243

Engineering Development DevOps Infrastructure 243

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). In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives?

DevOps 207

DevOps Social Media Mobile Metrics 207

Dynatrace

NOVEMBER 7, 2023

A Kubernetes-centric Internal Development Platform (IDP) enables platform engineering teams to provide self-service capabilities and features to their DevSecOps teams who need resilient, available, and secure infrastructure to build and deploy business-critical customer applications. Ensure that you get the most out of your product.

Engineering 276

Engineering DevOps Best Practices Infrastructure 276

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. As a result, site reliability has emerged as a critical success metric for many organizations. That’s why good communication between SREs and DevOps teams is important.

Best Practices 225

Best Practices DevOps Latency Metrics 225

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 185

Infrastructure Availability Systems Retail 185

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform.

DevOps 221

DevOps Latency Traffic Best Practices 221

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. DevOps, SREs, developers… everyone will ask questions. When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

Development 264

Development DevOps Programming Cloud 264

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. As organizations digitally transform, they’re also accelerating the speed of software delivery. In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider.

Latency 179

Latency Website Traffic Virtualization 179

Dynatrace

FEBRUARY 9, 2022

To accomplish this, organizations have widely adopted DevOps , which encompasses significant changes to team culture, operations, and the tools used throughout the continuous development lifecycle. But setting up the required tooling requires in-depth knowledge and causes massive effort if done manually.

Code 219

Code Software Software DevOps 219

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 195

DevOps Analytics Airlines Metrics 195

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 242

Cloud DevOps Benchmarking Speed 242

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. The deviating metric is response time.

DevOps 198

DevOps Artificial Intelligence Healthcare Innovation 198

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Let’s take service availability for example. Dynatrace news.

DevOps 198

DevOps Metrics Best Practices Latency 198

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Reliability.

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

FEBRUARY 28, 2024

Start by asking yourself what’s there, whether it’s logs, metrics, or traces. Once you double down on the type, you want to figure out, or browse, which metric is relevant. Then when you have the metric, you want to explore it—what splits are available, how can I break it down, how can I aggregate it, and so on.”

Analytics 212

Analytics Metrics Media Monitoring 212

Tasktop

MAY 24, 2021

The European leg of the DevOps Enterprise (Virtual) Summit 2021 returned last week (17-20 May) as the community reflected on a year like none other. We’ll be sure to share Mik and our other favorite sessions as and when they come available. Moving from Project to Product with Flow Metrics. Register today .

DevOps 91

DevOps Metrics Healthcare Innovation 91

Dynatrace

OCTOBER 4, 2022

Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies. where an error occurred at the code level.

Analytics 223

Analytics Storage Infrastructure Metrics 223

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. And it’s not just the release validation. Expand to more use cases.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. availability of a website over a year, your error budget is.05%.

Metrics 193

Metrics Best Practices DevOps Infrastructure 193

Dynatrace

OCTOBER 14, 2022

Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. In a machine learning model, a statistical analysis of current metrics, events, and alerts helps build a multidimensional model of a system to provide possible explanations for observed behavior.

Artificial Intelligence 177

Artificial Intelligence DevOps Analytics Cloud 177

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . The Gartner document is available upon request from Dynatrace LLC. .

DevOps 245

DevOps Innovation Monitoring Analytics 245

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. Modern AIOps enables more comprehensive automation across the enterprise, including in CloudOps, DevOps, and SecOps. Two approaches to AIOps. AIOps use cases.

Artificial Intelligence 215

Artificial Intelligence DevOps Innovation Metrics 215

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Indexing overhead.

Analytics 217

Analytics Storage Retail Monitoring 217

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS. It’s an enterprise product that we use to help modernize the VA,” Fuqua said.

Monitoring 185

Monitoring Artificial Intelligence Performance Healthcare 185

Dynatrace

NOVEMBER 29, 2021

OpenShift, DevOps, and CI/CD. The emergence of DevOps and continuous integration (CI) and continuous development (CD) pipelines has fundamentally changed the nature of software design, development, and deployment. Enhances DevOps productivity. Speeds up development. Key metrics for OpenShift monitoring.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. SLO validation – ?Automatically Topics in this blog series.

Software 246

Software Software Open Source Azure 246

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). When releasing into production, Gardner said it’s important to think beyond performance metrics.

Engineering 184

Engineering Development Infrastructure Cloud 184

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Logs on Grail Log data is foundational for any IT analytics.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Indexing overhead.

Analytics 183

Analytics Storage Retail Monitoring 183

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 190

Azure Monitoring Virtualization Metrics 190

Dynatrace

DECEMBER 9, 2020

Our customers are increasingly transitioning to agile software development, DevOps, and progressive continuous delivery to deliver business value faster. To speed up release frequency, they’re investing in delivery-pipeline automation. Which metrics are relevant for your business, anyway?

Metrics 152

Metrics Engineering Google Monitoring 152

Dynatrace

NOVEMBER 15, 2021

DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC). With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. More automation.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Tasktop

JULY 17, 2019

Contrast this available telemetry with teams practicing DevOps who know their recovery time, their change failure and success rates, and their cycle times – all of which help teams identify opportunities for continuous improvement. The answer is Flow Metrics. 5 Everyday Problems Exposed by Flow Metrics.

Metrics 40

Metrics Software Software DevOps 40

Dynatrace

SEPTEMBER 29, 2021

The 2021 State of DevOps report found successful organizations enable application teams to set up and configure monitoring and alerting through self-service capabilities, removing the need for manual work from teams responsible for monitoring. In this example, new tagging rules are shown. The image below also refers to this example.

Software 203

Software Software Open Source DevOps 203