Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 175

Analytics Ecommerce Metrics Innovation 175

Dynatrace

MAY 4, 2021

Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.

Infrastructure 181

Infrastructure Monitoring Artificial Intelligence Cloud 181

The Netflix TechBlog

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Start your free trial today for best-in-class APM, infrastructure monitoring, and AIOps, all in a single solution. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 186

Analytics Systems DevOps Healthcare 186

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Uber Engineering

JULY 22, 2021

As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases. We built a team with varied … The post Containerizing Apache Hadoop Infrastructure at Uber appeared first on Uber Engineering Blog.

Infrastructure 145

Infrastructure Analytics Engineering Architecture 145

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Only with Dynatrace Digital Busines Analytics. Fast automated deployment.

Analytics 170

Analytics Artificial Intelligence Metrics Design 170

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Open Source 178

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. Cloud-based application architectures commonly leverage microservices. What’s next?

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. Captured metrics include infrastructure measures (CPU, Disk, and Network metrics) as well as details related to Backups, Savepoints, Replication, and more. Dynatrace news. No agent installation is required on your SAP server.

Infrastructure 199

Infrastructure Database Monitoring Metrics 199

Dynatrace

MARCH 18, 2024

Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately. With deep analytics of traces from Dynatrace, developers have data in full context, which helps them easily debug instrumentation issues.

Scalability 262

Scalability Open Source Analytics Innovation 262

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

AWS 208

AWS Artificial Intelligence Analytics Cloud 208

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 275

Efficiency Performance Analytics DevOps 275

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. In the screenshot below you can see an example of such a request attribute.

Analytics 138

Analytics Mobile Airlines Monitoring 138

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required. Retain data.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

APRIL 17, 2024

Without combining these signals in a unified AI-powered observability platform, monitoring apps, infrastructure, and troubleshooting issues are nothing more than a patchwork of manual correlation. The infrastructure & Operations app shows a monitored host with s390 architecture, and the Logs tab shows log data for that host.

Operating System 204

Operating System Energy Infrastructure Architecture 204

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. And why runtime vulnerability detection makes the difference – blog Vulnerability management is an essential part of securing IT operations. What is DevSecOps? Learn how security improves DevOps.

DevOps 184

DevOps Analytics Best Practices Java 184

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. Enrich database performance KPIs with business analytics. The post Intelligent observability for Oracle and SQL databases appeared first on Dynatrace blog.

Database 240

Database DevOps Analytics Servers 240

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

APRIL 11, 2023

Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots – blog DevSecOps Lifecycle Coverage with Snyk, a new app developed with Dynatrace® AppEngine, enables teams to mitigate security risks across pre-production and production environments, including runtime vulnerability detection, blocking, and remediation.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. 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. These two processes feed into one another.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Monitoring your i nfrastructure.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 230

DevOps Innovation Infrastructure Analytics 230

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 259

Cloud Azure Analytics Open Source 259

Dynatrace

NOVEMBER 24, 2021

The success of an organization often depends on the quality of the on-premises or physical IT infrastructure, among other things. Constantly monitoring infrastructure health state and making ongoing optimizations are essential for Ops teams, SREs (site-reliability engineers), and IT admins. Dynatrace news. ” What’s next.

Network 210

Network Infrastructure Virtualization Metrics 210

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

Performance 235

Performance Analytics Mobile Innovation 235

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: are automatically distributed to a group of ActiveGates, balancing the load automatically and switching workloads in case of infrastructure failure, to assure continued monitoring execution. Extensions 2.0

Technology 246

Technology Technology Scalability Availability 246

Dynatrace

MAY 17, 2022

To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. None of this complexity is exposed to application and infrastructure teams.

Availability 316

Availability Scalability Cloud Metrics 316

Dynatrace

NOVEMBER 22, 2021

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Amazon EC2.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

FEBRUARY 9, 2022

More recently, teams have begun to apply DevOps best practices to infrastructure automation, giving developers a more active role with GitOps as an operational framework. Key components of GitOps are declarative infrastructure as code, orchestration, and observability. How to get started. Otherwise, contact our Services team.

Code 216

Code Software Software DevOps 216

Dynatrace

JUNE 5, 2023

As web applications commonly use load balancers, such as F5 BIG-IP, Dynatrace customers often seek to enhance their monitoring capabilities by integrating it with Dynatrace comprehensive monitoring and AI-powered analytics. The Dynatrace extension for F5 BIG-IP monitoring has proven to be a successful solution for them. What’s next?

Traffic 193

Traffic Virtualization Metrics Monitoring 193

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 204

Cache Azure Infrastructure Monitoring 204

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. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214