Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. AI-powered precise answers and timely insights with ad-hoc analytics.

Innovation 193

Innovation Software Software Cloud 193

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 301

Engineering DevOps Innovation AWS 301

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 259

Scalability Open Source Analytics Innovation 259

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. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

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. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 272

Efficiency Performance Analytics DevOps 272

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 200

DevOps Metrics Engineering Analytics 200

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 189

Open Source Storage Analytics Innovation 189

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. Simplify error analytics.

Lambda 221

Lambda AWS Serverless Latency 221

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 230

Energy Cloud Airlines Strategy 230

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

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 212

Lambda AWS Serverless Latency 212

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. Dynatrace’s key takeaways.

Artificial Intelligence 226

Artificial Intelligence Strategy Infrastructure Monitoring 226

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 154

Analytics Technology Technology Cloud 154

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 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 232

Performance Analytics Mobile Innovation 232

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 214

AWS Transportation Network Traffic 214

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 192

DevOps Analytics Airlines Metrics 192

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Enterprise cloud architects and engineers require significant knowledge to ensure that private and public clouds work together compatibly. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. What is OpenTelemetry? It’s also being built into Kubernetes.” But one blind spot remained.

Open Source 192

Open Source Analytics Lambda Metrics 192

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 246

Artificial Intelligence Serverless Analytics Innovation 246

Dynatrace

SEPTEMBER 7, 2022

When it comes to dynamic cloud environments, Dynatrace is also an innovator in “modern cloud done right.” automating ingestion of logs, metrics, and traces and continuous dependency mapping with precise context across hybrid and multicloud environments. Check out our Power Demo: Log Analytics with Dynatrace.

Traffic 212

Traffic AWS Network Cloud 212

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 313

Availability Scalability Cloud Metrics 313

Dynatrace

JULY 11, 2023

Dynatrace full stack Red Hat OpenShift observability Dynatrace unifies platform engineering and application teams on a single platform, enhancing software quality and operational efficiency to drive innovation. Captures metrics, traces, logs, and other telemetry data in context.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. Serverless can accelerate innovation (and introduce blind spots). See your AWS serverless workloads in full context with customer experience and business outcome metrics. Dynatrace Davis AI.

Lambda 205

Lambda Serverless AWS Mobile 205

The Netflix TechBlog

MARCH 2, 2021

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

NOVEMBER 22, 2021

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. And why it matters. Fargate is an AWS serverless compute environment for containers. Amazon EKS. AWS monitoring best practices.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Dynatrace extends contextual analytics and AIOps for open observability. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. But most of that budget goes toward running the business—not software innovation.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

FEBRUARY 15, 2023

AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams. It empowers Dynatrace customers to use the same tools and technologies as Dynatrace engineers to develop new tailored apps.

Government 162

Government Serverless Analytics Metrics 162

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Our employees listen carefully to our customers and innovate continuously. This combination sets us apart. .

DevOps 240

DevOps Innovation Monitoring Analytics 240

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. Powered by Innovation. QuickSight is built on a large number of innovative technologies to get a business user their first insights fast.

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. With logs, metrics, traces as well as user data and context, a modern observability platform can identify an issue or anomaly and, in some cases, automatically address the issue.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

AUGUST 31, 2020

This marks the fifth consecutive year Dynatrace has appeared on Constellation’s ShortList of DPM leaders, further validating Dynatrace’s commitment to innovating and disrupting the DPM space with our Software Intelligence Platform and AI-engine, Davis. The challenge – and business-critical importance – of mastering DPM.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

Dynatrace

JULY 30, 2020

Your systems are managed by US-based and vetted engineers . This s ingle source of truth for all your data means less time troubleshooting and more time innovating.? . At the core of Dynatrace is our AI engine , called Davis. Benefits of Dynatrace for Government includ e : . Minimal infrastructure cost .

Government 209

Government Analytics Cloud Infrastructure 209

Dynatrace

OCTOBER 14, 2021

These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. For example, a typical use case involves a web server running an analytics and reporting system.

Artificial Intelligence 183

Artificial Intelligence Innovation Servers Database 183