Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads.

Analytics 204

Analytics Metrics DevOps Storage 204

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis.

Analytics 183

Analytics Storage Retail Monitoring 183

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 222

DevOps Traffic Efficiency Servers 222

Dynatrace

FEBRUARY 15, 2023

Therefore, teams need a unified, intuitive approach to data aggregation and analysis. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Development and DevOps. Application security.

Analytics 130

Analytics Storage Cloud DevOps 130

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 205

Cloud Lambda AWS Analytics 205

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 278

Efficiency Performance Analytics DevOps 278

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 188

Analytics Innovation Metrics Database 188

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 265

Artificial Intelligence DevOps Analytics Engineering 265

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 205

DevOps Metrics Engineering Analytics 205

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Use of Dynatrace Notebook to track when a flight status table was last updated.

DevOps 195

DevOps Analytics Airlines Metrics 195

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation? Operations.

Software 190

Software Software Analytics Big Data 190

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 205

Technology Technology Artificial Intelligence Analytics 205

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. These two processes feed into one another. Dynatrace news.

Systems 187

Systems Cloud Analytics DevOps 187

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 185

Artificial Intelligence DevOps Strategy Open Source 185

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). CloudOps includes processes such as incident management and event management. Aggregate it for alerts.

DevOps 198

DevOps Artificial Intelligence Healthcare Innovation 198

Dynatrace

APRIL 6, 2022

DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. How full-stack observability enhances IT and DevOps. Here are a few ways full-stack observability can benefit your IT and DevOps teams.

DevOps 233

DevOps Innovation Infrastructure Analytics 233

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 235

Best Practices Analytics Metrics Code 235

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. So, what is ITOps? What is ITOps? How does ITOps create business value?

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

Scalegrid

DECEMBER 21, 2023

This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. DevOps requires infrastructure experts and software experts to work hand in hand. What is NoOps? Evolution of NoOps.

DevOps 219

DevOps Big Data Cloud Innovation 219

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 177

Artificial Intelligence DevOps Analytics Cloud 177

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing.

Monitoring 203

Monitoring Software Software DevOps 203

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. The platform aims to help DevOps teams optimize the allocation of compute resources across all containerized workloads in deployment. AI-powered analytics. Networking.

Open Source 195

Open Source Storage Analytics Innovation 195

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Establish realistic SLO targets based on statistical and probabilistic analysis.

Software 266

Software Software Benchmarking Latency 266

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence 288

Artificial Intelligence Cloud Innovation Strategy 288

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Each process could generate multiple log entries, adding up to terabytes of data every day. A modern approach to log analytics stores data without indexing.

Analytics 223

Analytics Storage Infrastructure Metrics 223

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 189

Cloud DevOps Open Source Retail 189

Dynatrace

NOVEMBER 22, 2021

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. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

OCTOBER 19, 2023

Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 211

Best Practices Benchmarking Speed Infrastructure 211

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 198

Open Source Analytics Lambda Metrics 198

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digitizing internal processes can improve information flow and enhance collaboration among employees. Digital tools and technologies provide a more efficient way of doing things.

Strategy 177

Strategy Retail DevOps Education 177

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 248

Monitoring Performance Analytics DevOps 248

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. Relying on manual processes results in outages, increased costs, and frustrated customers. What is AIOps?

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Humans simply cannot manually review and analyze the massive amount of data that a modern observability solution can process automatically.

Artificial Intelligence 215

Artificial Intelligence DevOps Innovation Metrics 215

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 191

Artificial Intelligence Tuning Strategy Big Data 191

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Ortner reviewed the process of solving these issues. “We

Engineering 184

Engineering Development Infrastructure Cloud 184

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams.

Serverless 267

Serverless Infrastructure Innovation DevOps 267