Dynatrace

NOVEMBER 3, 2023

In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. Platform engineers design and implement these platforms, as well as ensure their security, scalability, and reliability.

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Engineering DevOps Software Engineering Scalability 224

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 230

DevOps Metrics Engineering Speed 230

Dynatrace

JULY 25, 2024

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. Taking a strategic Kubernetes platform engineering approach Spier noted that keeping Kubernetes simple requires a strategic approach.

Strategy 237

Strategy Engineering Open Source Java 237

Dynatrace

NOVEMBER 2, 2023

As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated.

DevOps 218

DevOps Benchmarking Azure Innovation 218

Dynatrace

SEPTEMBER 22, 2022

DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. What is DevOps automation? DevOps automation is a set of tools and technologies that perform routine, repeatable tasks that engineers would otherwise do manually.

DevOps 201

DevOps Speed Innovation Monitoring 201

Dynatrace

MARCH 29, 2024

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” ” First, Akamas collects metrics, then recommends configuration improvements and applies these recommendations.

Engineering 238

Engineering DevOps Operating System Open Source 238

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 228

DevOps Latency Metrics Traffic 228

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 229

Metrics DevOps Engineering Strategy 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. Has the user purchased this product before?

DevOps 231

DevOps Traffic Efficiency Servers 231

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

The Netflix TechBlog

AUGUST 22, 2019

Artisan Crafted Images In the Netflix full cycle DevOps culture the team responsible for building a service is also responsible for deploying, testing, infrastructure, and operation of that service. A key responsibility of Netflix engineers is identifying gaps and pain points in the development and operation of services.

DevOps 211

DevOps AWS Tuning Infrastructure 211

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 219

DevOps Artificial Intelligence Metrics Network 219

Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 171

DevOps Engineering Innovation Best Practices 171

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 217

DevOps Social Media Mobile Metrics 217

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 214

Analytics Metrics DevOps Storage 214

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

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Teams should ensure that even the smallest SLOs relate to business growth.

Best Practices 204

Best Practices Engineering DevOps Software Engineering 204

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 194

Engineering Development Infrastructure Cloud 194

Dynatrace

MARCH 23, 2020

Dynatrace industry-leading tracing, metrics, and log ingestion provide the level of high fidelity data that teams need to make accurate predictions about capacity. Such decisions must be attainable with little to no developer involvement in surfacing traces, metrics, and logs. Rapid OneAgent rollouts on Google Kubernetes Engine.

Google 197

Google Engineering Metrics Hardware 197

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. These tags will allow us to create dashboards, request attributes or calculate service metrics specifically for our application under test. This allows us to analyze metrics (SLIs) for each individual endpoint URL.

Engineering 200

Engineering Performance Metrics Best Practices 200

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 234

Metrics Mobile IoT Monitoring 234

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. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping.

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DevOps Software Engineering Games Java 295

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 263

Cloud Lambda AWS Analytics 263

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.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation.

Engineering 212

Engineering Testing Performance Performance Testing 212

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

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. That’s why good communication between SREs and DevOps teams is important.

Best Practices 233

Best Practices DevOps Latency Metrics 233

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. 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 276

Software Software Benchmarking Latency 276

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. In production, containers are easy to replicate. What is Kubernetes?

Open Source 313

Open Source Traffic DevOps Cloud 313

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. Easily track the health and performance of database servers with AI support.

Database 245

Database DevOps Analytics Servers 245

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. This is where Site Reliability Engineering (SRE) practices are applied.

DevOps 230

DevOps Latency Traffic Best Practices 230

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. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

Code 228

Code Software Software DevOps 228

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 245

Cloud DevOps Benchmarking Speed 245

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. 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.

DevOps 216

DevOps Metrics Engineering Analytics 216

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Why is developer observability important for engineers? DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

Development 273

Development DevOps Programming Cloud 273

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 246

DevOps Open Source Cloud Azure 246

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. DevOps metrics and digital experience data are critical to this.

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Efficiency Performance Analytics DevOps 287