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 180

Analytics Software Software Storage 180

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

Engineering 171

Engineering Tuning Latency Open Source 171

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 245

Analytics Open Source Serverless Architecture 245

Dynatrace

NOVEMBER 22, 2022

Five-nines availability has long been the goal of site reliability engineers (SREs) to provide system availability that is “always on.” Site reliability engineering teams often measure system availability in percentages in the pursuit of 100% uptime. What is always-on infrastructure?

Infrastructure 173

Infrastructure Availability Systems Retail 173

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 168

Serverless Architecture Open Source Innovation 168

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 161

Architecture Availability Infrastructure Metrics 161

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. – DevOps Engineer, large healthcare company. This is great!

Analytics 176

Analytics Systems DevOps Healthcare 176

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

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 172

Infrastructure Monitoring Artificial Intelligence Open Source 172

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 209

Analytics Storage Infrastructure Metrics 209

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 257

Artificial Intelligence Analytics Storage Architecture 257

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 189

Infrastructure Latency Metrics Analytics 189

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 177

Analytics Infrastructure Storage Efficiency 177

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 177

Software Software Analytics Big Data 177

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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

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

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 204

Network Monitoring Performance Traffic 204

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 203

Open Source Analytics Metrics Cloud 203

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. That’s where causal AI can help.

Government 190

Government Analytics Benchmarking Storage 190

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 264

Efficiency Performance Analytics DevOps 264

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. These metrics are visualized using Lumen , a self-service dashboarding infrastructure. What is BPF?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. million AI server units annually by 2027, consuming 75.4+

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. Understand and optimize your architecture. What is Lambda? What is Lambda SnapStart?

Lambda 214

Lambda AWS Serverless Latency 214

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale.

Database 235

Database DevOps Analytics Servers 235

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. Mesos supports several container orchestration engines and can launch Docker containers independently of the Docker daemon.

Infrastructure 176

Infrastructure Open Source Operating System Cloud 176

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. Throw in behavioral analytics, metadata, and real-user data. … It is about the collection of all of those together.”

Artificial Intelligence 183

Artificial Intelligence Analytics Cloud Innovation 183

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. Pensive infrastructure comprises two separate systems to support batch and streaming workloads. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

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. To learn more about platform engineering, explore the following resources.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

APRIL 7, 2023

Despite being serverless, the function still requires infrastructure on which to run. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function?

Lambda 204

Lambda AWS Serverless Latency 204

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture). NSDI’20.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider. Application architectures might not be conducive to rehosting.

Cloud 198

Cloud Energy Best Practices Cache 198

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Dynatrace news.

Testing 206

Testing Open Source Metrics Infrastructure 206

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. OpenTelemetry was purposely conceived to complement — and not compete with — existing analytical tools.

Artificial Intelligence 182

Artificial Intelligence Open Source Analytics Monitoring 182

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps?

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191