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 178

Analytics Storage Retail Monitoring 178

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Some of these challenges involve basic tasks—such as data collection. Dynatrace Grail enables organizations to ingest data without predefining schema.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

FEBRUARY 28, 2024

Foremost among these is the complexity associated with data gathering and analysis. 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

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 193

Analytics Retail Metrics Mobile 193

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. Dynatrace news.

Database 239

Database DevOps Analytics Servers 239

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. 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.

Software 259

Software Software Benchmarking Latency 259

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. This AI also triggers automated remediation actions.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Not just logs, metrics and traces. A modern observability solution transforms data from distributed environments into actionable business intelligence. Its approach to serverless computing has transformed DevOps.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 183

Cloud DevOps Open Source Retail 183

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.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

FEBRUARY 15, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations and automated workflows. Further, according to a Gartner® report, by 2025, 95% of decisions that currently use data will be at least partially automated.*

Code 208

Code DevOps Cloud Analytics 208

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. Causal AI draws on supporting data, such as relationships, dependencies, and other context among network entities and events. With this context, causal AI determines the precise root cause of an issue.

Artificial Intelligence 212

Artificial Intelligence Analytics Network Metrics 212

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Why is IT operations important? ITOps vs. AIOps.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

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. The ability to measure a system’s current state based on the data it generates.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Collecting data requires massive and ongoing configuration efforts.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. What is artificial intelligence?

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 206

Analytics Metrics Media Monitoring 206

Dynatrace

APRIL 7, 2023

There is a new Lambda function handler signature that provides a stream object to which your function can write incoming stream data immediately, without waiting for any buffering as before. 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

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 301

Engineering DevOps Innovation AWS 301

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 192

DevOps Metrics Best Practices Latency 192

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 240

DevOps Innovation Monitoring Analytics 240

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 139

Analytics Mobile Metrics DevOps 139

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 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. You have to get automation and analytical capabilities.”

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

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 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

APRIL 6, 2022

Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. Adds robust response and request data no longer only event payloads. Automatic root cause analysis for DevOps, cloud, and apps teams. Simplify error analytics. Cold start analysis.

Lambda 164

Lambda AWS Serverless Infrastructure 164

Dynatrace

JANUARY 13, 2021

These ratings reflect Dynatrace users’ perspectives on what sets us apart: the ability to tame cloud complexity with an all-In-one-platform built on a unified data model with AI and automation at the core. Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company. So great!” – Insurance Consultant .

Artificial Intelligence 137

Artificial Intelligence DevOps Analytics Innovation 137

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

APRIL 6, 2022

Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency. Adds robust response and request data no longer only event payloads. Automatic root cause analysis for DevOps, cloud, and apps teams. Simplify error analytics. Cold start analysis.

Lambda 130

Lambda AWS Serverless Infrastructure 130

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.” Director of infrastructure, software sector “ Strong technology and stronger people.

Monitoring 217

Monitoring Retail Performance Government 217

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

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 182

Analytics Innovation Metrics Database 182

High Scalability

JANUARY 8, 2019

InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. It also has an easy to use language for importing data, and supports standard SQL for querying data. Stream is currently also hiring Devops and Python/Go developers in Amsterdam. Check out the job opening on AngelList.

Java 137

Java Metrics Software Engineering DevOps 137

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