Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network performance monitoring core to observability For these reasons, network activity becomes a key data source in IT observability. Teams also don’t have to maintain normalized schemas to query data.

Network 215

Network Monitoring Performance Traffic 215

DZone

MAY 30, 2019

With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing.

Artificial Intelligence 100

Artificial Intelligence Social Media FinTech Storage 100

Dynatrace

JANUARY 31, 2024

Organizations need to ensure their solutions meet security and privacy requirements through certified high-performance filtering, masking, routing, and encryption technologies while remaining easy to configure and operate. Addressing security requirements. OpenPipeline then filters and preprocesses that data to manage and reduce costs.

Analytics 192

Analytics Processing Transportation Storage 192

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 208

Artificial Intelligence Storage Analytics Government 208

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Often, organizations resort to using separate tools for different parts of their technology stack. (Select Hub from the dock in the Dynatrace web UI.

Virtualization 193

Virtualization Storage Metrics Monitoring 193

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Risk in banking is broad and interconnected.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This ease of deployment has led to mass adoption, with nearly 80% of organizations now using container technology for applications in production, according to the CNCF 2022 Annual Survey.

Open Source 192

Open Source Storage Analytics Innovation 192

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 199

Infrastructure Storage Virtualization Network 199

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. AI performs frequent data transfers.

Strategy 219

Strategy Artificial Intelligence Storage Cloud 219

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

FEBRUARY 1, 2024

Maintaining optimal application performance is crucial for businesses, and fast databases are vital in achieving this goal. For an effective approach to database performance, it’s crucial to have a comprehensive overview of all databases, including server-side DBs. This leads to scattered and inefficient workflows.

Database 183

Database Monitoring Games Metrics 183

DZone

MARCH 20, 2024

Understanding KVM Kernel-based Virtual Machine (KVM) stands out as a virtualization technology in the world of Linux. Embedded within the Linux kernel, KVM empowers the creation of VMs with their virtualized hardware components, such as CPUs, memory, storage, and network cards, essentially mimicking a machine.

Virtualization 124

Virtualization Hardware Open Source Storage 124

Percona Community

OCTOBER 23, 2020

Tech that makes our databases perform better. In this blog post we’re going to see those technologies at work to give us awesome block storage performance with flexibility and simple operations. It’s a new generation in storage software, designed for super high speed low latency NVMe devices. Why is SPDK exciting?

Storage 52

Storage Latency Speed Database 52

Dynatrace

OCTOBER 4, 2022

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Stop worrying about log data ingest and storage — start creating value instead.

Analytics 233

Analytics Artificial Intelligence Storage Serverless 233

Dynatrace

OCTOBER 30, 2023

Dynatrace chief technology strategist Alois Reitbauer joined Greifeneder at Innovate to discuss key DevOps automation and platform engineering use cases. From performance issues to vulnerabilities, problems can crop up anywhere in the software development pipeline. This context arrives automatically.

Engineering 244

Engineering DevOps Innovation Storage 244

Dynatrace

OCTOBER 17, 2023

This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying. Transparency.

Retail 235

Retail Storage Best Practices Architecture 235

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Thus, Grail was born.

Artificial Intelligence 265

Artificial Intelligence Analytics Storage Architecture 265

Dynatrace

NOVEMBER 28, 2023

Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess software performance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.

Traffic 260

Traffic Best Practices Strategy Engineering 260

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JUNE 9, 2023

Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. Many organizations, including the global advisory and technology services provider, ICF, describe DevOps maturity using a DevOps maturity model framework.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

FEBRUARY 12, 2024

Today’s organizations flock to multicloud environments for myriad reasons, including increased scalability, agility, and performance. In fact, according to recent Dynatrace research, 85% of technology leaders say the number of tools, platforms, dashboards, and applications they use adds to the complexity of managing a multicloud environment.

Analytics 181

Analytics Artificial Intelligence Engineering Technology 181

InfoQ

DECEMBER 29, 2023

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

Storage 136

Storage Scalability Database Technology 136

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 207

AWS Artificial Intelligence Analytics Cloud 207

Dynatrace

JANUARY 11, 2023

In the process, they’re adopting more tools and technologies. These technologies generate a crush of observability data. High storage costs. Moreover, as organizations track additional key performance indicators, data volume only grows, which slows down searches. Search constraints.

Analytics 188

Analytics Strategy Storage Technology 188

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. By identifying subtle deviations in system behavior, engineers can take preemptive measures to avert potential downtime, performance issues, or security threats. Proactive resource allocation. Capacity planning.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 16, 2023

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

Open Source 343

Open Source Java Operating System Programming 343

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. To learn more, check out the on-demand Performance Clinic , AI-assisted log and event monitoring to simplify Kubernetes and multicloud operations with Dynatrace.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 4, 2022

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. Additionally, it provides index-free storage and direct analytics access to source data without requiring data rehydration. Don’t reinvent the wheel.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

APRIL 19, 2023

Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. Why perform exclusion at two points? ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Encryption.

Design 191

Design Storage Programming Analytics 191

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64