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. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Dynatrace’s RUM for Mobile Apps provides crash analytics by default. Availability. Dynatrace news. Response time.

DevOps 210

DevOps Social Media Mobile Metrics 210

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 188

Infrastructure Availability Systems Retail 188

Dynatrace

FEBRUARY 9, 2021

This leaves DevOps teams with the cumbersome task of having to manually identify user struggles and troubleshoot errors. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 211

Analytics Mobile Performance Monitoring 211

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 246

Engineering Development DevOps Infrastructure 246

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse.

Analytics 191

Analytics Innovation Metrics Database 191

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 193

Software Software Analytics Big Data 193

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 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

NOVEMBER 7, 2023

A Kubernetes-centric Internal Development Platform (IDP) enables platform engineering teams to provide self-service capabilities and features to their DevSecOps teams who need resilient, available, and secure infrastructure to build and deploy business-critical customer applications. Ensure that you get the most out of your product.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. This not only underscores the universal significance of data, it also hints at its pivotal role within DevOps.

DevOps 198

DevOps Analytics Airlines Metrics 198

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

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 189

Systems Cloud Analytics DevOps 189

Scalegrid

DECEMBER 21, 2023

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis® instances for better performance optimization. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 226

Analytics Storage Infrastructure Metrics 226

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 208

DevOps Metrics Engineering Analytics 208

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. It relies on the accuracy and quality of the publicly available information and input it draws from, which may be untrustworthy or biased.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

DECEMBER 27, 2022

SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Availability. Reliability.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

JANUARY 23, 2024

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

SEPTEMBER 15, 2023

5), DevOps/AppDev (4.08/5), By leveraging Dynatrace capabilities like Runtime Vulnerability Analytics, Runtime Application Protection, AI-assisted prioritization, and AutomationEngine , customers can improve the effectiveness of their DevSecOps processes while boosting productivity. 5), and Application Owner/Line of Business (4.01/5)

Monitoring 251

Monitoring Performance Analytics DevOps 251

Dynatrace

DECEMBER 15, 2022

ITOps is also responsible for configuring, maintaining, and managing servers to provide consistent, high-availability network performance and overall security, including a disaster readiness plan. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. CloudOps teams are one step further in the digital supply chain.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

FEBRUARY 9, 2022

To accomplish this, organizations have widely adopted DevOps , which encompasses significant changes to team culture, operations, and the tools used throughout the continuous development lifecycle. This builds on existing functionality, including configurable dashboards and business analytics via API. How to get started.

Code 222

Code Software Software DevOps 222

Dynatrace

JULY 25, 2023

Generative AI drives productivity through AI-powered analytics and automation for all members of your organization. Autoremediation workflows or automated integrations with ChatOps, DevOps, and ITSM tools have never been easier. Davis AI with predictive AI and causal AI is generally available and used by all Dynatrace customers.

Best Practices 237

Best Practices Analytics Metrics Code 237

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 180

Artificial Intelligence DevOps Analytics Cloud 180

Dynatrace

JUNE 28, 2022

It negatively affects the lead time for changes (LT) , a DORA metric 1 that DevOps teams use to measure platform and team performance. Utilizing a collection of tools for synthetic CI/CD testing can identify an issue while still leaving DevOps and SRE teams responsible for root cause analysis, which they often have to perform manually.

Monitoring 206

Monitoring Software Software DevOps 206

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. Extensibility and technology ecosystem.

Open Source 198

Open Source Storage Analytics Innovation 198

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

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. Let’s take service availability for example. Dynatrace news.

DevOps 202

DevOps Metrics Best Practices Latency 202

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). DevOps: Applying AIOps to development environments. CloudOps: Applying AIOps to multicloud operations.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Dynatrace

NOVEMBER 20, 2023

Why this deterministic AI approach is critical to business success – blog Today’s organizations need to go beyond a traditional, correlation-driven approach to identify the underlying causes and effects of an event or behavior and drive better DevOps automation. Enter causal AI. What is predictive AI? What is AIOps?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

FEBRUARY 16, 2023

Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities. DevSecOps Lifecycle Coverage with Snyk will be available within 90 days. Dynatrace provides just such a solution.

Programming 200

Programming Government Analytics Efficiency 200

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. . The Gartner document is available upon request from Dynatrace LLC. .

DevOps 248

DevOps Innovation Monitoring Analytics 248

Dynatrace

NOVEMBER 28, 2022

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying OS, infrastructure, and services. Simplify error analytics. Optimize timing hotspots.

Lambda 229

Lambda AWS Serverless Latency 229

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 261

Cloud Azure Analytics AWS 261

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 220

Metrics Lambda Infrastructure Monitoring 220