Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

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. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

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 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 280

Serverless AWS Lambda Storage 280

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. where an error occurred at the code level.

Analytics 220

Analytics Storage Infrastructure Metrics 220

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 187

Analytics Infrastructure Storage Efficiency 187

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) But the ephemeral storage service for intermediate data is not based on S3.

Storage 112

Storage Engineering Cache Serverless 112

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. Teams also don’t have to maintain normalized schemas to query data.

Network 215

Network Monitoring Performance Traffic 215

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. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 4, 2024

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. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.

Government 199

Government Analytics Benchmarking Storage 199

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Moreover, IT pros say that cloud architecture and data repositories thwart achieving better data insight.

Cloud 176

Cloud Artificial Intelligence Innovation Analytics 176

Dynatrace

JUNE 9, 2023

Research has found that 99% of organizations have embraced a multicloud architecture. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 183

DevOps Analytics Storage Metrics 183

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 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Moreover, IT pros say that cloud architecture and data repositories thwart achieving better data insight.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. 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).

Retail 236

Retail Storage Best Practices Architecture 236

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 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

JUNE 7, 2023

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. This flexibility helps organizations avoid vendor lock-in. OpenShift Dedicated (OSD). Networking.

Open Source 206

Open Source Social Media Infrastructure Operating System 206

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 342

Open Source Java Operating System Programming 342

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 190

Analytics Software Software Storage 190

Dynatrace

AUGUST 21, 2023

Organizations can be more agile when they have access to real-time data about their IT infrastructure. When IT teams move from manual log management tasks, they can focus on more strategic work, such as product innovation and optimizing infrastructure. Free IT teams to focus on and support product innovation.

Analytics 145

Analytics Innovation Infrastructure Scalability 145

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. What is Multi-Cloud? In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Uber Engineering

DECEMBER 19, 2019

Every day around the world, millions of trips take place across the Uber network, giving users more reliable transportation through ridesharing, bikes, and scooters, drivers and truckers additional opportunities to earn, employees and employers more convenient business travel, and hungry … The post Uber Infrastructure in 2019: Improving Reliability, (..)

Infrastructure 144

Infrastructure Transportation Network Engineering 144

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. Dynamic landscape and data handling requirements result in manual work. Try it out yourself.

Storage 226

Storage Government Network Infrastructure 226

High Scalability

JANUARY 11, 2022

Architecture. 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. High Level Design. System Components.

Design 334

Design Media Storage Logistics 334

Dynatrace

MAY 8, 2023

DevOps monitoring is an observability practice that creates a real-time view of the status of applications, services, and infrastructure in pre-production and production environments. The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases.

DevOps 219

DevOps Efficiency Monitoring Infrastructure 219

Strategic Tech

JUNE 2, 2021

Modernizing an architecture usually take years. Low Hanging Fruit vs Last Toothpaste in the Tube In the dream scenario, there is an area of the architecture which has a high value to the business when modernized and has little complexity. In the Architecture Modernization Sequencing Grid, this is the bottom right corner.

Architecture 52

Architecture Infrastructure Technology Technology 52

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 208

AWS Artificial Intelligence Analytics Cloud 208

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. Thereby streamlining their database infrastructure without any major complications or stress accompanying doing the same effectively resulting in fewer worries when setting out sail onboard!

Database 130

Database Cloud Hardware Storage 130

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 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

Serverless 187

Serverless Azure Lambda AWS 187

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 news. How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

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. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Dynatrace news. What are logs?

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Dynatrace

DECEMBER 8, 2021

In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.” Monolithic applications earned their name because their structure is a single running application, which often shares the same physical infrastructure.

Cloud 226

Cloud Serverless Hardware Operating System 226

Dynatrace

FEBRUARY 15, 2023

Here are some examples: IT infrastructure and operations. Why traditional monitoring approaches fail to deliver an exploratory analytics platform Traditional approaches to cloud monitoring cannot keep pace as organizations’ use of multicloud and cloud-native architectures expand.

Analytics 130

Analytics Storage Cloud DevOps 130