Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

MARCH 29, 2024

While respondents have made progress in terms of instrumentation, This suggests there is ample opportunity for organizations to use a log management and analytics platform such as Dynatrace to ingest and analyze log data. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

FEBRUARY 28, 2024

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. By using JavaScript and DQL, these dashboards can help generate reports on the current DORA metrics.

DevOps 208

DevOps Metrics Engineering Analytics 208

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. Enrich database performance KPIs with business analytics.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. Comparing log monitoring, log analytics, and log management.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. The performance SLO needs a custom SLI metric, which you can configure as follows.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. This AI also triggers automated remediation actions.

Best Practices 237

Best Practices Analytics Metrics Code 237

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. What is observability?

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. Only 27% of those CIOs say their teams fully adhere to a DevOps culture.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

FEBRUARY 15, 2023

Bringing precise, answer-driven automation to observability, security, and business As IT operations teams, security, DevOps, and others look to automate workflows, they need a solid platform foundation that enables data in context as well as provides precise and trustworthy answers.

Code 217

Code DevOps Cloud Analytics 217

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. Software development success no longer means just meeting project deadlines.

Software 201

Software Software Artificial Intelligence DevOps 201

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. ITOps vs. AIOps.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 179

Artificial Intelligence DevOps Analytics Cloud 179

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 261

Cloud Azure Analytics Open Source 261

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. Most AIOps approaches use predictive analytics that apply algorithms and machine learning to historical data to predict future outcomes. Why is causal AI important? What’s causing customer churn?

Artificial Intelligence 221

Artificial Intelligence Analytics Network Metrics 221

Dynatrace

NOVEMBER 28, 2022

Dynatrace provides AWS Lambda metrics monitoring in less than five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Simplify error analytics. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. How does Dynatrace help?

Lambda 229

Lambda AWS Serverless Latency 229

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. Dynatrace news. Today, online services require near 100% uptime.

DevOps 201

DevOps Metrics Best Practices Latency 201

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . million a year in employee productivity alone. . The difference Davis makes.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

APRIL 7, 2023

Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . F or the third time in a row, we are positioned furthest in the quadrant for Completeness of Vision.

DevOps 247

DevOps Innovation Monitoring Analytics 247

Dynatrace

AUGUST 5, 2020

BizDevOps: Connecting IT and business through shared metrics. Similarly, business teams rely on web analytics tools to understand user behavior and trends. But traditional IT and web analytics tools live in separate domains and operate on separate timetables, limiting the insights one can offer the other.

Analytics 142

Analytics Mobile Metrics DevOps 142

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 215

Analytics Metrics Media Monitoring 215

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

Dynatrace

APRIL 6, 2022

Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. Automatic root cause analysis for DevOps, cloud, and apps teams. Simplify error analytics. Seamless end-to-end distributed tracing. Cold start analysis. Seemless Cloudwatch Integration.

Lambda 170

Lambda AWS Serverless Infrastructure 170

Dynatrace

JANUARY 13, 2021

Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company. Empowering our users – from DevOps to marketing, management to procurement – to self-service has also freed up resource(es) that can be better spent elsewhere. Earned the Top Position in ISG Provider Lens, Cloud-Native Observability Solutions Quadrant.

Artificial Intelligence 139

Artificial Intelligence DevOps Analytics Innovation 139

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” We start with data types—logs, metrics, traces, routes. Throw in behavioral analytics, metadata, and real-user data. … IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation.

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

Dynatrace

APRIL 6, 2022

Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. Automatic root cause analysis for DevOps, cloud, and apps teams. Simplify error analytics. Seamless end-to-end distributed tracing. Cold start analysis. Seemless Cloudwatch Integration.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

JULY 10, 2023

Additionally, we’ve been able to unify dev teams and business teams to set and monitor metrics around user interaction with our sites.” Director of infrastructure, software sector “ Strong technology and stronger people.

Monitoring 225

Monitoring Retail Performance Government 225

High Scalability

FEBRUARY 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Stream is currently also hiring Devops and Python/Go developers in Amsterdam.

Software 125

Software Software Analytics Infrastructure 125

High Scalability

MARCH 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Stream is currently also hiring Devops and Python/Go developers in Amsterdam.

Software 122

Software Software Analytics Infrastructure 122

High Scalability

MARCH 5, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Stream is currently also hiring Devops and Python/Go developers in Amsterdam.

Software 116

Software Software Analytics Infrastructure 116

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 252

AWS Efficiency Azure Cloud 252

High Scalability

JANUARY 8, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Stream is currently also hiring Devops and Python/Go developers in Amsterdam. View and analyze all your logs and system metrics from multiple sources in one place.

Java 137

Java Metrics Software Engineering DevOps 137