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 162

DevOps Engineering Innovation Best Practices 162

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 214

DevOps Latency Metrics Traffic 214

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 194

DevOps Analytics Airlines Metrics 194

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. How critical is the vulnerability?

DevOps 220

DevOps Traffic Efficiency Servers 220

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. What these steps have in common is that monitoring tools are not in sync with new changes in code or topology and this observability data is often siloed within different tools and teams. The role of observability within DevOps.

DevOps 218

DevOps Metrics Engineering Speed 218

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. First, it’s about getting the data. Not to worry.

Metrics 228

Metrics DevOps Tuning Virtualization 228

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Beginnings of BizDevOps. Security integration.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 201

Analytics Metrics DevOps Storage 201

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 209

Analytics Metrics Media Monitoring 209

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 207

DevOps Artificial Intelligence Metrics Network 207

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 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 220

Analytics Storage Infrastructure Metrics 220

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. AIOps offers a solution by leveraging AI and ML algorithms to analyze this data in real time, identify patterns, and provide actionable insights.

Artificial Intelligence 161

Artificial Intelligence DevOps Games Metrics 161

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 246

DevOps Metrics Innovation Azure 246

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 Infrastructure 363

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 204

DevOps Social Media Mobile Metrics 204

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

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 217

Metrics DevOps Engineering Strategy 217

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 240

Engineering Development DevOps Infrastructure 240

Dynatrace

APRIL 22, 2021

To keep up, we’ve seen growing interest in DevOps and continuous delivery , as organizations aim to deliver new digital services and experiences faster. However, it isn’t as simple as just implementing a DevOps toolset, analyzing DevOps metrics, or investing in DevOps monitoring capabilities. What is DevOps?

DevOps 216

DevOps Innovation Technology Technology 216

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

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. Some of these challenges involve basic tasks—such as data collection. Dynatrace Grail enables organizations to ingest data without predefining schema.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Dynatrace

OCTOBER 15, 2021

Let’s take a closer look and clear up any confusion about what it is, the telemetry data it covers, and the benefits it can provide. 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.

Open Source 219

Open Source Metrics Cloud Transportation 219

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. Then teams can leverage and interpret the observable data. Observability defined. Achieving meaningful observability.

DevOps 151

DevOps Monitoring Cloud Artificial Intelligence 151

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

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 185

Analytics Innovation Metrics Database 185

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 223

Metrics Mobile IoT Monitoring 223

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Ensure that you get the most out of your product.

Engineering 273

Engineering DevOps Best Practices Infrastructure 273

Dynatrace

FEBRUARY 28, 2024

Foremost among these is the complexity associated with data gathering and analysis. 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 202

DevOps Metrics Engineering Analytics 202

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

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. ” Data supports those declarations. It’s using 1.5 cores, but only 0.2 cores have been requested.

Engineering 225

Engineering DevOps Operating System Open Source 225

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. DevOps, SREs, developers… everyone will ask questions.

Development 261

Development DevOps Programming Cloud 261

Dynatrace

JANUARY 29, 2024

Closed-loop remediation comprises the following stages: Stage 1: Triage Observability : First, an observability platform detects an issue by analyzing all the telemetry data from across multicloud environments and determining incident severity. Incident backlogs collect data on and record all unresolved issues.

Best Practices 191

Best Practices DevOps Energy Innovation 191

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 263

Software Software Benchmarking Latency 263

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud. More than one in seven outages cost more than $1 million.

Best Practices 222

Best Practices DevOps Latency Metrics 222

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. RUM focuses on gathering data from actual interactions, while Synthetic Monitoring simulates user journeys for testing.

Monitoring 169

Monitoring Website Performance Website DevOps 169