Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? The state of service-level objectives While SLOs play a critical role in helping DevOps and SRE teams align technical objectives with business goals, they’re not always easy to define.

DevOps 223

DevOps Latency Metrics Traffic 223

Dynatrace

MAY 18, 2022

With the most important components becoming release candidates , Dynatrace now supports the full OpenTelemetry specification on all runtimes and automatically adds intelligence to metrics at enterprise scale. So these metrics are immensely valuable to SRE and DevOps teams. Kudos and thanks to all fellow contributors.??.

Metrics 234

Metrics DevOps Tuning Virtualization 234

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 214

DevOps Artificial Intelligence Metrics Network 214

DZone

JULY 3, 2022

This second blog will take a deeper dive into the Metrics, Logs, and Tracing exporters (which can be found at [link] ), describing them and showing how to configure them, Grafana, alerts, etc. This is the second in a series of blogs discussing unified observability with microservices and the Oracle database.

Metrics 246

Metrics DevOps Database Code 246

Dynatrace

FEBRUARY 2, 2023

This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation. Introducing metric extraction from business events Beginning with Dynatrace SaaS version 1.257, you can extract metrics from ingested business events.

Analytics 210

Analytics Metrics DevOps Storage 210

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 250

DevOps Metrics Innovation Azure 250

Simform

SEPTEMBER 28, 2022

If DevOps implementation is one of the obstacles you have successfully conquered, your battle has just begun. Analyzing the right metrics and KPIs gives you a clear picture of your business growth, its current performance, and things that require improvement.

DevOps 52

DevOps Metrics Processing Performance 52

DZone

MAY 25, 2023

AIOps (Artificial Intelligence for IT Operations) is a cutting-edge solution that combines AI, ML, and automation to enhance DevOps practices and streamline IT operations. This helps DevOps teams make informed decisions, proactively detect and resolve issues, and improve overall operational efficiency.

Artificial Intelligence 161

Artificial Intelligence DevOps Games Metrics 161

All Things Distributed

APRIL 20, 2021

AWS is on a journey to revolutionize DevOps using the latest technologies. We are starting to treat DevOps, and the toolchains around it, as a data science problem – And when we think of it this way, code, logs, and application metrics are all data that we can optimize with machine learning (ML).

DevOps 218

DevOps AWS Metrics Technology 218

Tasktop

OCTOBER 18, 2021

It’s been just over a week since this year’s virtual DevOps Enterprise Summit USA and I don’t know about you, but I am already missing the vibrant Slack conversations, the impromptu Gather interactions, the industry-leading content and the many networking opportunities that brought together the thriving DevOps community. .

DevOps 52

DevOps Metrics Virtualization Innovation 52

DZone

MARCH 11, 2021

A highly efficient Kubernetes setup generates innumerable new metrics every day, making monitoring cluster health quite challenging. You might find yourself sifting through several different metrics without being entirely sure which ones are the most insightful and warrant utmost attention.

Metrics 257

Metrics Monitoring Efficiency DevOps 257

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.

Open Source 226

Open Source Metrics Cloud Transportation 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. The post Identify issues immediately with actionable metrics and context in Dynatrace Problem view appeared first on Dynatrace blog.

Metrics 231

Metrics Mobile IoT Monitoring 231

Dynatrace

MARCH 29, 2024

The most likely beneficiaries of generative AI The top three areas most likely to benefit from generative AI are IT operations (72%), cybersecurity (47%), and application development or DevOps (30%). And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 190

Artificial Intelligence DevOps Strategy Open Source 190

DZone

OCTOBER 25, 2023

They observe the telemetry data (logs, metrics, traces) emitted from the application/microservice using various observability tools and make informed decisions regarding scaling, maintaining, or troubleshooting applications in the production environment. And most importantly, what is in it for developers, DevOps, and SRE folks?

DevOps 270

DevOps Metrics Monitoring Availability 270

Dynatrace

NOVEMBER 3, 2023

. “Platform engineering is increasingly becoming the focal point for organizations seeking to advance the maturity of their DevOps automation practices,” says Anita Schreiner, vice president of delivery at Dynatrace, in the 2023 DevOps Automation Pulse report. To some extent, the two practices complement each other.

Engineering 220

Engineering DevOps Software Engineering Scalability 220

DZone

OCTOBER 10, 2023

In enterprises, SREs, DevOps, and cloud architects often discuss which platform to choose for observability for faster troubleshooting of issues and understanding about performance of their production systems. Will the tool support all kinds of data aggregation, such as logs, metrics, traces, topology, etc.?

Open Source 262

Open Source DevOps Infrastructure Metrics 262

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. By using JavaScript and DQL, these dashboards can help generate reports on the current DORA metrics. What’s next?

DevOps 211

DevOps Metrics Engineering Analytics 211

Dynatrace

JANUARY 29, 2024

It is also a key metric for organizations looking to improve their DevOps performance. This metric represents the proportion of system incidents resolved by escalating to a higher level of support. Improved change failure and escalation rates. The same concept holds true for incident escalation rate.

Best Practices 200

Best Practices DevOps Energy Innovation 200

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 215

Speed Software Software Latency 215

Dynatrace

MARCH 29, 2024

.” While Kubernetes’ usability and ubiquity make it the ideal environment for cloud-based production tasks, operational oversight and resource management challenges can frustrate DevOps efforts to drive efficiency. ” First, Akamas collects metrics, then recommends configuration improvements and applies these recommendations.

Engineering 234

Engineering DevOps Operating System Open Source 234

Dynatrace

MAY 31, 2023

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. The following three metrics are commonly used to measure success: Service-level agreements (SLAs). Service-level objectives (SLOs). availability.

Best Practices 230

Best Practices DevOps Latency Metrics 230

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. The performance SLO needs a custom SLI metric, which you can configure as follows.

Software 272

Software Software Benchmarking Latency 272

DZone

JANUARY 16, 2024

This directly impacts key business metrics like customer conversions, engagement, and revenue. To proactively identify and fix performance problems, modern DevOps teams rely heavily on monitoring solutions.

Monitoring 169

Monitoring Website Performance Website DevOps 169

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 269

Development DevOps Programming Cloud 269

Tasktop

JULY 1, 2021

While DevOps Research and Assessment (DORA) metrics help you deliver more quickly, Flow Metrics —as defined by Dr. Mik Kersten as part of his pioneering Value Stream Management paradigm the Flow Framework® —help you deliver the right things more quickly at the right quality and cost and with the necessary team engagement.

Metrics 59

Metrics DevOps Efficiency Software 59

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Tasktop

JULY 22, 2021

The framework does an excellent job at providing a freely available knowledge base that serves as a one-stop shop for modern lean-agile practices and DevOps. That’s why I’m so excited to see Flow Metrics added to the latest SAFe iteration. His Flow Framework® provides five metrics that can be used to measure different aspects of flow.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

Dynatrace

MARCH 20, 2024

Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality. Conclusion Keptn empowers DevOps teams to conquer the Kubernetes deployment challenge confidently, ensuring smoother and more efficient deployments.

Open Source 275

Open Source Hardware DevOps Infrastructure 275

Dynatrace

SEPTEMBER 5, 2023

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. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Continuous improvement.

Artificial Intelligence 268

Artificial Intelligence DevOps Analytics Engineering 268

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 243

Database DevOps Analytics Servers 243

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. To manage this crucial aspect, many companies adopt service level objectives (SLOs).

Monitoring 193

Monitoring DevOps Metrics Innovation 193

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. For context, teams collect metrics for further analysis and indexing.

Systems 191

Systems Cloud Analytics DevOps 191

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. What are the typical use cases for AWS Lambda? What are the challenges related to operating Lambda functions?

AWS 234

AWS Lambda Artificial Intelligence Serverless 234

Dynatrace

FEBRUARY 10, 2023

How Mitchells & Butlers brought the business together with DevOps metrics from Dynatrace – blog Many organizations are undergoing a digital transformation. DevOps metrics and digital experience data are critical to this. Learn more. Here is what they reported.

Efficiency 283

Efficiency Performance Analytics DevOps 283

Tasktop

MAY 11, 2021

Oh, and it just so happens that one of our favourite events of the year takes place too, providing the perfect opportunity for the DevOps community to come together: The virtual DevOps Enterprise Summit, Europe (18-20 May 2021). . OKRs & DevOps: From Micromanagement Misery to Finding Flow. Tasktop at DOES Europe 2021.

Virtualization 52

Virtualization DevOps Metrics Software 52

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. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. ITOps vs. AIOps.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211