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. 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%).

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

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. This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment.

Open Source 216

Open Source Metrics Cloud Transportation 216

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. By automating workflows, teams throughout the organization can eliminate manual processes and improve outcomes. What is a data lakehouse?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

OCTOBER 23, 2023

We believe at Soldo that efficiency is the key value to be very successful in the business we run,” said Luca Domenella, head of cloud operations and DevOps at Soldo. In a recent conversation at Dynatrace Innovate in Barcelona, Spain, with Liisa Tallinn, product manager of application security at Dynatrace, Domenella explained how it works.

Design 213

Design Innovation DevOps Open Source 213

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 growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. availability.

Best Practices 219

Best Practices DevOps Latency Metrics 219

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 260

Artificial Intelligence DevOps Analytics Engineering 260

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 182

Monitoring DevOps Metrics Innovation 182

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 258

Development DevOps Programming Cloud 258

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation.

Cloud 183

Cloud DevOps Open Source Retail 183

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 221

Lambda AWS Serverless Latency 221

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. DevOps/DevSecOps with AWS. And how to to achieve observability?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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. The difference Davis makes.

Engineering 301

Engineering DevOps Innovation AWS 301

Dynatrace

NOVEMBER 9, 2021

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

APRIL 7, 2023

Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. 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.

Lambda 212

Lambda AWS Serverless Latency 212

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. GitOps: Cloud automation as code.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards.

Open Source 218

Open Source DevOps Java Innovation 218

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. To avoid this, start the SLO discussion early in the design process.

DevOps 192

DevOps Metrics Best Practices Latency 192

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 239

Cloud DevOps Benchmarking Speed 239

Dynatrace

SEPTEMBER 30, 2019

That means DevOps and IT put less time and resources toward driving new proactive innovations, and more into reactive problem solving and putting out fires in an environment that is more dynamic and unpredictable than ever. I’ve long thought of DevOps as being 80% about culture. What Kubernetes Brings to the Table.

DevOps 200

DevOps Innovation Cloud Speed 200

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

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

OCTOBER 14, 2022

By processing vast amounts of relevant data across domains and tiers and automatically finding relationships between systems and processes, AI becomes very good at answering even highly complex questions. Why deterministic AIOps is essential for DevOps — and beyond. What is machine learning? Increased shift-left capabilities.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Tasktop

JULY 22, 2021

“Business agility is the ability to compete and thrive in the digital age by quickly responding to market changes and emerging opportunities with innovative, digitally-enabled business solutions” – Scaled Agile . That’s why I’m so excited to see Flow Metrics added to the latest SAFe iteration. © Scaled Agile, Inc. Mik Kersten.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

Dynatrace

NOVEMBER 2, 2023

This public cloud management discipline provides IT, DevOps , CloudOps, finance, and business teams with continuous cost optimization tools and accurate accounting of cloud resources. Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use.

Cloud 192

Cloud Strategy Retail Energy 192

Dynatrace

JUNE 11, 2019

Slow collaborative processes. Eventually, a previously siloed company can be reorganized as follows: In such a setup, shared high-level metrics drive individual team members to focus on improving customer outcomes, creating more value, and improving the bottom line. Automate processes. Slow releases. Release faster.

Innovation 190

Innovation Monitoring Metrics Strategy 190

Dynatrace

FEBRUARY 27, 2024

During a session at Dynatrace Perform 2024 , Dynatrace colleagues Kristof Renders, director of innovation services, and Brian Chandler, principal solutions architect, demonstrated four BizDevSecOps use cases for the Dynatrace unified observability and security platform. These are all metrics Dynatrace collects directly out of the box.

Best Practices 231

Best Practices Metrics AWS Innovation 231

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. It also enables DevOps teams to connect to any number of AWS services or run their own functions. Where does Lambda fit in the AWS ecosystem?

Lambda 178

Lambda AWS Serverless Hardware 178

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. The installation process and architecture are well documented and described in the GitHub repository.

Google 216

Google Cloud Serverless Innovation 216

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 239

Performance Education Innovation Software Architecture 239

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. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 194

DevOps Best Practices Innovation Strategy 194

Dynatrace

JULY 7, 2022

Teams sense by collecting—and connecting—the massive data volumes these systems generate in the form of metrics, events, logs, traces, and user experience data. Cumbersome legacy IT architecture is giving way to modern multicloud architectures where technologies, data, and processes converge to enable innovation.

Artificial Intelligence 177

Artificial Intelligence Automotive DevOps Infrastructure 177

Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 216

DevOps Efficiency Monitoring Infrastructure 216

Dynatrace

FEBRUARY 16, 2023

Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation. We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

Dynatrace

MARCH 10, 2021

They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Conventional (not built for cloud) monitoring tools are not much help.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

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. This is a continuous process,” Fuqua said. You’re not going to wave a magic wand and have a container.

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

Dynatrace

APRIL 29, 2021

Intelligent Dynatrace Operators set a new industry standard for simple activation by replacing pin-pointed monitoring solutions with an all-in-one approach that offers Kubernetes cluster, node, and pod observability with application metrics, distributed tracing, and real user monitoring. Flexible monitoring of pods with OneAgent on EKS.

AWS 142

AWS Serverless Java Virtualization 142