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 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

APRIL 28, 2023

This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval. Infrastructure teams may need to work with host logs from recent months or quarters.

Analytics 218

Analytics Storage Infrastructure Metrics 218

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 152

Tuning Speed Performance Open Source 152

DZone

JUNE 4, 2019

NVMe Storage Use Cases. NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. The challenge of cloud-native observability at the enterprise edge In aggregate, connected devices generate huge volumes of data.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.

Efficiency 219

Efficiency Virtualization Hardware Performance 219

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration.

Government 205

Government Analytics Benchmarking Storage 205

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. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 188

DevOps Analytics Storage Metrics 188

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. Most infrastructure and applications generate logs. Comparing log monitoring, log analytics, and log management.

Systems 189

Systems Cloud Analytics DevOps 189

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 281

Efficiency Performance Analytics DevOps 281

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Indeed, according to Dynatrace data , 61% of IT leaders say observability blind spots in multicloud environments are a greater risk to digital transformation as teams lack an easy way to monitor their infrastructure end to end.

Cloud 181

Cloud Artificial Intelligence Innovation Analytics 181

Dynatrace

JANUARY 22, 2024

The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

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. How does container orchestration work? And organizations use Kubernetes to run on an increasing array of workloads.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Indeed, according to Dynatrace data , 61% of IT leaders say observability blind spots in multicloud environments are a greater risk to digital transformation as teams lack an easy way to monitor their infrastructure end to end.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Scalegrid

JANUARY 20, 2020

Note: ScaleGrid implements follower clusters using storage snapshots. And since the entire import is performed using storage snapshots, rather than a logical dump, the process is nearly instantaneous. Data Analytics. This helps save massively on infrastructure costs. This is not something you can do on a replica node.

Analytics 185

Analytics Storage Database Systems 185

High Scalability

JANUARY 11, 2022

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. After that, the post gets added to the feed of all the followers in the columnar data storage. System Components. Fetching User Feed. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. By analyzing trends in resource consumption and performance metrics, developers can predict future needs and plan for capacity upgrades or infrastructure changes. Issue remediation.

Best Practices 203

Best Practices Mobile Metrics Performance 203

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 216

Best Practices AWS Monitoring Serverless 216

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. It is critical for fast-paced product innovation at Netflix since CL provides foundational data for personalization, A/B experimentation, and performance analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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 does IT operations do?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Reduce alert noise and accelerate your mean time to repair (MTTR) for infrastructure incidents. Dynatrace news. Many technologies expose their metrics in the Prometheus data format.

Technology 222

Technology Technology Metrics Infrastructure 222

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure. Log ingestion strategy no.

Strategy 185

Strategy AWS Open Source Transportation 185

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This allows you to create flexible and powerful log storage configurations on any level by utilizing the unique autodiscovery capabilities of Dynatrace OneAgent or a custom setup. Try it out yourself.

Storage 232

Storage Government Network Infrastructure 232

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Check out our Power Demo: Log Analytics with Dynatrace. What is AWS Transit Gateway?

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. From application and infrastructure monitoring to digital experience and application security, we use purpose-built data and AI technologies across the full stack to simplify cloud operations, automate DevSecOps , and help organizations do more with less in the cloud.

Innovation 202

Innovation Software Software Cloud 202

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Edge computing brings compute and data storage closer to where data is generated to help reduce costs, boost performance, and improve customer experience. What is platform engineering?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

MAY 21, 2023

Modern observability enables log forensics Dynatrace is a software intelligence platform that provides deep visibility into and understanding of applications and infrastructure. It started as an observability platform; over time, it has expanded to provide real user monitoring, business analytics, and security insights.

Analytics 234

Analytics Metrics Cloud Systems 234

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Tools that feature client-side compression can help reduce total data transfer volumes and storage footprints. Are these costs consistent?

Mobile 250

Mobile Analytics Website Cache 250

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. What is PostgreSQL used for?

Open Source 76

Open Source Healthcare Social Media Database 76

Dynatrace

OCTOBER 4, 2022

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Data Lake Storage Gen1. As with any integration service, there are many moving parts, which increases the probability of failed runs caused by infrastructure problems, data not arriving on time, or code issues in your pipelines. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1.

Azure 158

Azure Cloud Tuning Monitoring 158