Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 250

Cloud Lambda AWS Analytics 250

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. 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 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

Efficiency 274

Efficiency Performance Analytics DevOps 274

Dynatrace

DECEMBER 13, 2023

And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. In a recent survey , 57% of DevOps practitioners said the absence of data observability makes it difficult to drive automation in a compliant way. Data indicates these technology trends have taken hold.

Technology 201

Technology Technology Artificial Intelligence Analytics 201

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 201

DevOps Metrics Engineering Analytics 201

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 186

Software Software Analytics Big Data 186

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. Log management brings together log monitoring and log analysis.

Systems 184

Systems Cloud Analytics DevOps 184

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 240

Database DevOps Analytics Servers 240

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. Unlike correlation-based machine learning, which calculates probabilities based on statistics, causal AI uses fault-tree analysis to determine system-level failures based on component-level failures.

Artificial Intelligence 214

Artificial Intelligence Analytics Network Metrics 214

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 181

Artificial Intelligence DevOps Strategy Open Source 181

Dynatrace

JULY 25, 2023

Davis AI transforms and augments data to enable more useful analysis, perform automatic tasks, and respond to user requests: Predictive AI uses machine learning (ML) and statistical methods to recommend future actions based on data from the past. This AI also triggers automated remediation actions.

Best Practices 233

Best Practices Analytics Metrics Code 233

Dynatrace

DECEMBER 15, 2022

ITOps vs. DevOps and DevSecOps. ITOps is responsible for all an organization’s IT operations, including the end users’ IT needs, while DevOps is focused on agile continuous integration and delivery (CI/CD) practices and improving workflows. DevOps works in conjunction with IT. ITOps vs. AIOps.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. The following resources demonstrate how Dynatrace’s causation-based AI is changing the game for AIOps to bring real-time root-cause analysis to your AWS environment and beyond.?. Dynatrace extends contextual analytics and AIOps for open observability. Learn more here.

AWS 227

AWS Lambda Artificial Intelligence Serverless 227

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 174

Artificial Intelligence DevOps Analytics Cloud 174

Dynatrace

APRIL 11, 2023

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 185

Cloud DevOps Open Source Retail 185

Dynatrace

SEPTEMBER 15, 2023

5) According to Gartner, “A Critical Capabilities document is a comparative analysis that scores competing products or services against a set of critical differentiators identified by Gartner. 5), DevOps/AppDev (4.08/5), 5), DevOps/AppDev (4.08/5), Gartner ranked Dynatrace No. 1 for Security Operations Use Case (4.46/5)

Monitoring 244

Monitoring Performance Analytics DevOps 244

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 194

Software Software Artificial Intelligence DevOps 194

Dynatrace

DECEMBER 27, 2022

SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. Establish realistic SLO targets based on statistical and probabilistic analysis. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace.

Software 262

Software Software Benchmarking Latency 262

Dynatrace

OCTOBER 19, 2023

DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. By leveraging code-level insights and transaction analysis, it can identify and prevent attacks without the need for manual configuration.

Best Practices 207

Best Practices Benchmarking Speed Infrastructure 207

Dynatrace

NOVEMBER 28, 2022

Simplify error analytics. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. If an IT team is building applications based on AWS Lambda, they need full visibility into all tiers of the stack in context to achieve the following: Optimize response time hotspots. Optimize timing hotspots.

Lambda 223

Lambda AWS Serverless Latency 223

Dynatrace

JULY 6, 2022

AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it. IT automation, DevOps, and DevSecOps go together. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications.

Artificial Intelligence 187

Artificial Intelligence Tuning Strategy Big Data 187

Dynatrace

APRIL 6, 2022

Automatic root cause analysis for DevOps, cloud, and apps teams. Cold start analysis. Simplify error analytics. This is necessary to understand how your Lambda functions are performing and impacting your environment. Seamless end-to-end distributed tracing. Insights into how serverless functions impact user experience.

Lambda 165

Lambda AWS Serverless Infrastructure 165

Dynatrace

FEBRUARY 8, 2021

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. Some solutions that use logs for troubleshooting only provide manual analytics to search for the root causes of issues.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

JULY 24, 2023

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. Evaluate effectiveness after implementation with analytics and regular reports. Select which pages on a site are appropriate for session replay scripts.

Analytics 190

Analytics Website Mobile Internet 190

Dynatrace

APRIL 7, 2023

If an IT team is building applications based on AWS Lambda, they need full visibility into all tiers of the stack in context to achieve the following: Optimize response time hotspots Optimize timing hotspots Simplify error analytics Understand and optimize your architecture Automatic and intelligent end-to-end observability of AWS Lambda functions (..)

Lambda 214

Lambda AWS Serverless Latency 214

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 194

DevOps Metrics Best Practices Latency 194

Dynatrace

APRIL 6, 2022

Automatic root cause analysis for DevOps, cloud, and apps teams. Cold start analysis. Simplify error analytics. This is necessary to understand how your Lambda functions are performing and impacting your environment. Seamless end-to-end distributed tracing. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

JUNE 15, 2023

Rapid development and iteration Modern cloud apps are typically developed using modern methodologies such as Agile and DevOps. Unfortunately, traditional security testing and software composition analysis requires significant time to return results. The release cadence is rapid, sometimes daily or even multiple times per day.

Cloud 175

Cloud Open Source Architecture Monitoring 175

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Another hurdle is mistaking easy patterns as effective analysis, according to an article in the Harvard Data Science Review.

Analytics 208

Analytics Metrics Media Monitoring 208

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 138

Artificial Intelligence DevOps Analytics Innovation 138

Dynatrace

FEBRUARY 28, 2023

Secure your hybrid cloud environments at runtime with Dynatrace using runtime vulnerability analysis, AI-assisted prioritization, runtime application protection, and log audit and forensics. Its core capabilities are the following: Runtime vulnerability analytics. Reduce the time and cost to find and fix application vulnerabilities.

Analytics 147

Analytics Cloud Software Software 147

Dynatrace

JULY 10, 2023

Here is what a few of these customers say about Dynatrace: “ Dynatrace has been a game changer in our ability to respond to incidents, identify areas for performance tuning, and gain meaningful data from user behavior analysis.”

Monitoring 219

Monitoring Retail Performance Government 219

Dynatrace

AUGUST 25, 2023

Enable DevOps teams to modernize legacy apps Too many HHS IT organizations have an inventory of outdated applications with duplicative functionality, questionable states of health, and security vulnerabilities. Dynatrace provides analytics and automation for unified observability and security. IT modernization can help.

Government 202

Government Infrastructure Programming Cloud 202

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.

DevOps 219

DevOps Traffic Efficiency Servers 219

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Robert allowed me to take a couple of screenshots from their Dynatrace environment and with that, in this blog I try to explain how Dynatrace gives them MaaSS for Developers, Operators, DevOps as well as Business. 3 Log Analytics. Full-stack observability. End-to-end code-level tracing.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

DECEMBER 2, 2021

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. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers. Help with decision making.

Metrics 189

Metrics Best Practices DevOps Infrastructure 189

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 Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 245

AWS Efficiency Azure Cloud 245