Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail can store and process 1,000 petabytes per day,” Greifeneder explains.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

JULY 12, 2022

Several team members had to pore through logs, metrics, and other data to identify issues. “We Ultimately, better infrastructure management enables organizations like Park ‘N Fly to innovate through software. To do so, organizations often succumb to a “hamster wheel” of having to release code more quickly to innovate effectively.

Innovation 224

Innovation Infrastructure DevOps Azure 224

Dynatrace

MAY 23, 2024

Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. Also, see how to automate this process with bicep and how to automate with Azure CLI.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. The speed of change is only going to accelerate, thus requiring more innovation.

Azure 177

Azure Technology Technology Cloud 177

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 212

Speed Software Software Latency 212

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 239

Energy Cloud Airlines Strategy 239

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. to be efficient and fast at what we do,” Domenella said.

Design 223

Design Innovation DevOps Open Source 223

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. Innovation and cloud modernization aren’t luxuries; they’re the heartbeat of progress. What can we move?

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. 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. What is predictive AI?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Tasktop

FEBRUARY 9, 2021

However, they treat continuous improvement and digital innovation like interest, recognizing that it’s a compounding game. With a product-first focus, combined with the latest processes to accelerate product development from request to delivery and less legacy baggage, these companies are pulling ahead and fast — as shown in Figure 1.

Innovation 98

Innovation Cloud Government Efficiency 98

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

NOVEMBER 2, 2023

Digital transformation has significantly increased the organizational demand to innovate faster. But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 211

DevOps Benchmarking Azure Innovation 211

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 203

DevOps Best Practices Innovation Strategy 203

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Automation, automation, automation.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending.

Best Practices 238

Best Practices Strategy Cloud AWS 238

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large What problem are we solving?

Media 214

Media Storage Processing Cache 214

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. It’s helping us build applications more efficiently and faster and get them in front of veterans.”

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

DECEMBER 6, 2022

This process reinvents existing processes, operations, customer services, and organizational culture. Through it all, best practices such as AIOps and DevSecOps have enabled IT teams to efficiently and securely transform. Typically, organizations digitally transform because they need to innovate and become more agile.

Strategy 200

Strategy Artificial Intelligence Innovation Healthcare 200

Dynatrace

SEPTEMBER 22, 2022

This increased efficiency applies to the most recent code committed to a repository to the final release and delivery of an application or service upgrade. It helps to assess the long- and short-term efficiency and speed of DevOps. Automating processes also means better cross-team collaboration and more time spent on innovation.

DevOps 193

DevOps Innovation Speed Monitoring 193

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 174

Architecture Availability Infrastructure Monitoring 174

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

NOVEMBER 2, 2023

FinOps becomes more critical as organizations grow The value of FinOps lies in its potential to move organizations toward financial success with smart, cost-efficient cloud spend implemented from day one. Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use.

Cloud 201

Cloud Strategy Retail Energy 201

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. Proactive resource allocation. Capacity planning. Continuous improvement.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. Increased business innovation.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. The only way to address these challenges is through observability data — logs, metrics, and traces. Your key business objectives will drive your strategy and metrics.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Dynatrace

SEPTEMBER 1, 2022

To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. But these metrics and SLOs are only indirectly connected to business KPIs, which often leads to misplaced priorities, ineffective collaboration, and lost business opportunities.

Analytics 181

Analytics Ecommerce Metrics Innovation 181

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Set up processing rules.

Best Practices 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

Dynatrace

DECEMBER 16, 2022

For Dynatrace, this recognition demonstrates the clear leadership and innovation of Dynatrace in AIOps (or AI for IT operations). It displays all topological dependencies between services, processes, hosts, and data centers. This map is automatically generated and maintained through auto-discovery and with zero manual effort.

Artificial Intelligence 236

Artificial Intelligence Strategy Infrastructure Monitoring 236