Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. Dynatrace automatically collects data not just from metrics, traces, and logs, but also user experience and code-level insights – all in context and mapped into a topology.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. The innovation is mutual The Ally Technology Partner Awards are a way for the company to acknowledge its exceptional partners. “We Dynatrace is especially proud to support innovators like Ally Financial.

Technology 225

Technology Technology Analytics Innovation 225

Dynatrace

MAY 21, 2024

I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation. Optimizing costs is a proven way to free up budgets for innovation. Change is my only constant.

Technology 209

Technology Technology Analytics Storage 209

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

MAY 23, 2024

Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. There’s no need for configuration or setup of any infrastructure.

Azure 207

Azure Cloud Metrics Innovation 207

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 212

DevOps Metrics Engineering Analytics 212

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Here we asked Davis, the Dynatrace AI engine , to correlate CPU usage against other signals.

Google 229

Google Cloud Innovation Infrastructure 229

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 241

Best Practices Strategy Cloud AWS 241

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality. – blog.

DevOps 207

DevOps Best Practices Innovation Strategy 207

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.

Energy 242

Energy Cloud Airlines Strategy 242

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. What is Lambda? How does Dynatrace help?

Lambda 232

Lambda AWS Serverless Latency 232

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. Mobile retail e-commerce spending in the U. Service-level objectives (SLOs).

Best Practices 230

Best Practices DevOps Latency Metrics 230

Dynatrace

MARCH 18, 2024

Before OpenTelemetry and the W3C Trace Context open standard that underpins it, observability vendors had to reverse-engineer tracing libraries. Our unwavering commitment to open source initiatives underscores our mission to foster transparency, collaboration, and innovation. Innovation from the open source community.

Scalability 271

Scalability Open Source Analytics Innovation 271

Dynatrace

MAY 8, 2023

In turn, this drives the need for increased integration of heterogeneous telemetry data such as metrics, logs, and traces, and intelligent awareness of context across disparate data types. It enables organizations to benefit from collective innovation for common tasks so they can concentrate on building their own IP.

Open Source 216

Open Source Strategy Lambda Metrics 216

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. 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 269

Artificial Intelligence DevOps Analytics Engineering 269

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

APRIL 7, 2023

The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 224

Lambda AWS Serverless Latency 224

Dynatrace

APRIL 3, 2023

On Episode 52 of the Tech Transforms podcast, Dimitris Perdikou, head of engineering at the UK Home Office , Migration and Borders, joins Carolyn Ford and Mark Senell to discuss the innovative undertakings of one of the largest and most successful cloud platforms in the UK. Make sure to stay connected with our social media pages.

Efficiency 202

Efficiency Social Media Artificial Intelligence Cloud 202

Dynatrace

SEPTEMBER 28, 2021

Teams are using concepts from site reliability engineering to create SLO metrics that measure the impact to their customers and leverage error budgets to balance innovation and reliability. Nobl9 integrates with Dynatrace to gather SLI metrics for your infrastructure and applications using real-time monitoring or synthetics.

Metrics 311

Metrics Innovation Monitoring Software 311

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. The top Kubernetes challenges and potential solutions Despite its benefits, Kubernetes has some potential pitfalls that engineering leaders should consider when managing the complexity it introduces.

Open Source 201

Open Source Storage Analytics Innovation 201

Dynatrace

NOVEMBER 2, 2023

Digital transformation has significantly increased the organizational demand to innovate faster. As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Moreover, it takes an average of nine hours for a software engineer to remediate a problem within a production application.

DevOps 214

DevOps Benchmarking Azure Innovation 214

Dynatrace

JANUARY 23, 2024

Finally, Mark will take attendees a step further to demonstrate how Dynatrace underpins the AWS Well-Architected pillars of cost optimization and operational excellence by helping enterprises to right-size AWS resources with utilization metrics and configuration for continuous efficiency in the cloud.

Cloud 221

Cloud Artificial Intelligence Performance AWS 221

Dynatrace

DECEMBER 16, 2022

For Dynatrace, this recognition demonstrates the clear leadership and innovation of Dynatrace in AIOps (or AI for IT operations). AIOps powered by Davis AI Engine. The Davis® AI engine is at the heart of the Dynatrace approach to AIOps. Application and infrastructure monitoring.

Artificial Intelligence 239

Artificial Intelligence Strategy Infrastructure Monitoring 239

Dynatrace

NOVEMBER 2, 2023

FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use. FinOps behavioral change management.

Cloud 205

Cloud Strategy Retail Energy 205

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is a data lakehouse?

Efficiency 284

Efficiency Performance Analytics DevOps 284

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? When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

Development 270

Development DevOps Programming Cloud 270

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Log Metrics. Dynatrace is committed to innovation and leading the way in cloud computing.

AWS 226

AWS Transportation Network Traffic 226

Dynatrace

MARCH 15, 2024

Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs. At the same time, innovations from the OpenTelemetry community can be added to the Dynatrace Otel Collector only after they are mature enough and have proven their stability.

Open Source 291

Open Source Best Practices Infrastructure Tuning 291

Dynatrace

JUNE 6, 2023

With tool sprawl and data proliferation, problem resolution is increasingly difficult and takes time away from innovation. Dynatrace DevOps activist Andreas Grabner and director of sales engineering Brian Wilson tackled this question in a recent episode of the PurePerformance podcast.

DevOps 168

DevOps Engineering Innovation Best Practices 168

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. This metrics-based approach to SLO monitoring helps organizations plan and adjust before problems escalate into outages.

Monitoring 194

Monitoring DevOps Metrics Innovation 194

Dynatrace

FEBRUARY 12, 2024

During a Dynatrace Perform 2024 breakout session, Dynatrace colleagues Bipin Singh, product marketing director, and Markie Duby, principal solutions engineer, showed how organizations can bring together observability, security, and business data from cloud-native and multicloud environments with Dynatrace.

Analytics 190

Analytics Artificial Intelligence Engineering Storage 190

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 262

Cloud Azure Analytics AWS 262

Tasktop

OCTOBER 18, 2021

Speaking about DevOps and OKRs, Mik shared some of his “lessons learned” from large-scale transformations that leveraged OKRs and Flow Metrics to create an end-to-end, organization-wide feedback loop, as well as pitfalls that snapped some organizations back into the waterfall ways of measuring delivery. – Dr. Mik Kersten.

DevOps 52

DevOps Metrics Virtualization Innovation 52

Dynatrace

SEPTEMBER 4, 2020

If you’re not familiar with Site Reliability Engineering (SRE) and the concepts of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs) I recommend watching the YouTube Video from Google Engineers called SLIs, SLOs, SLAs, oh my! Together we can drive even more innovation.

DevOps 250

DevOps Metrics Innovation Azure 250

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

Performance 249

Performance Education Innovation Software Architecture 249

Strategic Tech

MARCH 26, 2019

You will be handing the initiative to your competitors who invested in their software development capabilities and are out-innovating you as a result. How do I create high performing teams to out-innovate the competition? In fact, there are near infinite ways to solve every software engineering challenging. What do I measure?

Software Engineering 76

Software Engineering Engineering Software Software 76

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. The only way to address these challenges is through observability data — logs, metrics, and traces. Your key business objectives will drive your strategy and metrics.

Analytics 200

Analytics Software Software Storage 200