Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications.

Monitoring 178

Monitoring Artificial Intelligence Performance Healthcare 178

Dynatrace

JULY 12, 2022

Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.

Innovation 214

Innovation Infrastructure DevOps Azure 214

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. But as a company with a mission to “ Do It Right ” and be a relentless ally for customers and communities, the high-cost monitoring solutions it was using provided only limited insights into end-user experiences.

Technology 210

Technology Technology Analytics Innovation 210

Dynatrace

JULY 3, 2024

Artificial Intelligence (AI) has the potential to transform industries and foster innovation. Several factors contribute to this high failure rate, including poor data quality, lack of relevant data, and insufficient understanding of AI’s capabilities and requirements. Volume monitoring. Distribution monitoring.

Artificial Intelligence 216

Artificial Intelligence Government Monitoring Innovation 216

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics.

Metrics 244

Metrics Analytics Storage Monitoring 244

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability? And why it matters. AWS Lambda.

Best Practices 206

Best Practices AWS Monitoring Serverless 206

Dynatrace

SEPTEMBER 3, 2024

trillion this year 1 , more than two-thirds of the adult population now relying on digital payments 2 for financial transactions, and more than 400 million terabytes of data being created each day 3 , it’s abundantly clear that the world now runs on software. With global e-commerce spending projected to reach $6.3

Infrastructure 241

Infrastructure Innovation Monitoring Software Performance 241

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. So, how do organizations end up in these unwieldy situations?

Monitoring 150

Monitoring Education Technology Technology 150

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. What is SLO monitoring? And what is an error budget burn rate?

Monitoring 180

Monitoring DevOps Metrics Innovation 180

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. Customized security measures tailored to the specific architecture and workloads of each organization’s cloud infrastructure can effectively protect data from potential threats or vulnerabilities.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JUNE 16, 2020

For many organizations, these back-end technology layers reveal blind spots in their current approach to monitoring. Spotty monitoring coverage makes it hard to identify, analyze, and resolve performance problems, which can endanger key business transactions and impact users. This metric helps you to understand your current workload.

Innovation 151

Innovation Metrics Infrastructure Programming 151

Dynatrace

OCTOBER 15, 2021

Let’s take a closer look and clear up any confusion about what it is, the telemetry data it covers, and the benefits it can provide. Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces.

Open Source 214

Open Source Metrics Cloud Transportation 214

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability? Your org’s challenge is to get ROI on those events.”

Engineering 188

Engineering Systems Latency Metrics 188

Dynatrace

FEBRUARY 2, 2022

This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation. Security: Data is stored securely in the Dynatrace cloud (powered by Azure). At Dynatrace, we innovate faster and schedule releases more frequently on SaaS vs. our Managed deployments.

Azure 318

Azure Availability Hardware Innovation 318

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 227

Best Practices Strategy Cloud AWS 227

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input.

Monitoring 161

Monitoring Latency Metrics Azure 161

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Managed Kubernetes clusters on GKE Autopilot have gained unprecedented momentum among enterprises.

Google 214

Google Cloud Innovation Infrastructure 214

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 200

Cache Azure Infrastructure Monitoring 200

Dynatrace

OCTOBER 23, 2023

Safeguarding against vulnerabilities, data breaches, and emerging threats while meeting regulatory compliance, legal requirements, and customer expectations borders on the impossible without a holistic approach. These practices include observability, application security, Kubernetes monitoring, and microservices migration.

Design 211

Design Innovation DevOps Open Source 211

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 271

Efficiency Performance Analytics DevOps 271

Dynatrace

NOVEMBER 2, 2020

Today’s IT infrastructures combine on-premise data centers, servers, and mainframes with highly dynamic multi-cloud environments, with microservices running in containers, spanning multiple clouds and hybrid infrastructure. What is infrastructure monitoring? . What to look for when selecting an infrastructure monitoring solution?

Infrastructure 195

Infrastructure Monitoring Virtualization Serverless 195

Dynatrace

JANUARY 29, 2024

“Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. Incident backlogs collect data on and record all unresolved issues. Improved change failure and escalation rates.

Best Practices 186

Best Practices DevOps Energy Innovation 186

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. Ideally, IT data can inform business-side decisions, but there’s a challenge. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes?

Analytics 172

Analytics Ecommerce Metrics Innovation 172

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 257

Cloud Azure Analytics Open Source 257

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Service-level objectives (SLOs).

Best Practices 218

Best Practices DevOps Latency Metrics 218

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 210

Lambda AWS Serverless Latency 210

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. We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 188

Artificial Intelligence Analytics Cloud Innovation 188

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 230

Performance Mobile Analytics Innovation 230

Dynatrace

JULY 25, 2022

VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. Flow log data can be published to Amazon CloudWatch Logs or Amazon S3 after which you can retrieve and view its data in the Dynatrace Intelligent Observability Platform. Log Metrics. Resource type.

AWS 213

AWS Transportation Network Traffic 213

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Fewer expensive fixes.

Speed 202

Speed Software Software Latency 202

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. Dynatrace automatically collects data not just from metrics, traces, and logs, but also user experience and code-level insights – all in context and mapped into a topology.

Engineering 301

Engineering DevOps Innovation AWS 301

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. APM to Observability.

DevOps 213

DevOps Innovation Cloud Programming 213

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But not all teams use the same observability data in the same way.

Development 257

Development DevOps Programming Cloud 257

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 198

DevOps Metrics Engineering Analytics 198

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. With Dynatrace deep cluster monitoring, “we were able to do upfront detection of security processes consuming higher CPU time on the cluster,” Bollampally said.

Cloud 167

Cloud Ecommerce Performance Retail 167

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The data generated by applications to support operational teams has reached overwhelming proportions. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms.

Retail 232

Retail Storage Best Practices Architecture 232

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Audit Run various quality checks on the staged data.

Tuning 246

Tuning Processing C++ Efficiency 246