Dynatrace

JANUARY 17, 2023

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance.

Analytics 292

Analytics Metrics Open Source Java 292

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 221

Analytics Monitoring Artificial Intelligence DevOps 221

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 191

Azure Analytics Artificial Intelligence Innovation 191

Dynatrace

OCTOBER 4, 2022

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence.

Analytics 203

Analytics Software Software Storage 203

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively.

Analytics 130

Analytics Storage Cloud DevOps 130

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. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 198

Analytics Innovation Metrics Database 198

Dynatrace

NOVEMBER 22, 2022

For organizations running their own on-premises infrastructure, these costs can be prohibitive. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. What is always-on infrastructure?

Infrastructure 195

Infrastructure Availability Systems Retail 195

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? Immutable infrastructure. Default to managed services.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Efficiency 276

Efficiency Architecture Energy Monitoring 276

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 199

Analytics Systems DevOps Healthcare 199

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 188

Serverless Architecture Open Source Innovation 188

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Having all data in context tremendously simplifies analytics and problem detection.

Architecture 178

Architecture Availability Infrastructure Monitoring 178

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 187

Infrastructure Monitoring Artificial Intelligence Open Source 187

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 206

Architecture DevOps Monitoring Programming 206

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. Cloud-based application architectures commonly leverage microservices. Extend infrastructure observability to WSO2 API Manager.

Infrastructure 194

Infrastructure Latency Metrics Analytics 194

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 233

Analytics Storage Infrastructure Metrics 233

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 200

Software Software Analytics Big Data 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

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. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 277

Artificial Intelligence Analytics Storage Architecture 277

Dynatrace

JULY 24, 2024

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x).

Availability 255

Availability Infrastructure Metrics Hardware 255

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 213

Analytics Infrastructure Efficiency Technology 213

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. SAP HANA server infrastructure monitored with OneAgent. The same SAP HANA server internals are monitored with PowerConnect.

Java 201

Java Analytics Best Practices Monitoring 201

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 200

Analytics Infrastructure Storage Architecture 200

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures.

Artificial Intelligence 221

Artificial Intelligence Storage Analytics Government 221

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures.

Network 227

Network Monitoring Performance Traffic 227

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 184

Infrastructure Cloud Scalability AWS 184

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.

Performance 258

Performance Architecture Innovation Latency 258

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. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. A unified observability and security analytics strategy can guide organizations toward a more proactive security posture at scale. AI observability accelerates AI benefits.

Analytics 187

Analytics Government DevOps Efficiency 187

Dynatrace

FEBRUARY 12, 2024

The OMB memo states that agencies must meet specific goals based on the five pillars of the Cybersecurity and Infrastructure Security Agency (CISA) Zero Trust Maturity Model : identity, devices, networks, applications/workloads, and data. A quick refresher: what is zero trust?

Government 191

Government Analytics Network Traffic 191

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. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest. Are you running containerized applications on IBM Z?

Operating System 217

Operating System Energy Infrastructure Architecture 217

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. Native support for OpenTelemetry (OTLP) logs also supports enterprises that have highly diverse technical architectures.

Open Source 226

Open Source Analytics Metrics Cloud 226

Dynatrace

OCTOBER 17, 2023

For decades, it had employed an on-premises infrastructure running internal and external facing services. However, the distributed nature of cloud services combined with their on-premises infrastructure meant there were more interfaces where services might expose vulnerabilities.

Energy 205

Energy Artificial Intelligence AWS Lambda 205

Dynatrace

AUGUST 21, 2023

Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. Organizations can be more agile when they have access to real-time data about their IT infrastructure. during 2021–2026.

Analytics 150

Analytics Innovation Infrastructure Scalability 150

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 195

DevOps Analytics Storage Metrics 195