Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Dynatrace news.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Ultimately, cloud observability helps organizations to develop and run “software that works perfectly,” said Dynatrace CEO Rick McConnell during a keynote at the company’s Innovate conference in Săo Paulo in late August.

Cloud 222

Cloud Artificial Intelligence Innovation Azure 222

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 182

Engineering Development Infrastructure Cloud 182

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. Relying on manual processes results in outages, increased costs, and frustrated customers.

AWS 210

AWS Artificial Intelligence Analytics Cloud 210

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 196

Open Source Analytics Lambda Metrics 196

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. Google Cloud Platform (GCP) Anthos : Users can run applications on-premises, in GCP, or with other major public cloud providers like AWS and Microsoft Azure. Governance of standardized processes.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 237

Performance Analytics Mobile Innovation 237

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 260

Cloud Azure Analytics AWS 260

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.* A best practice to avoid these problems is to store data in a single data lakehouse with massively parallel processing, such as Dynatrace Grail. Set up processing rules.

Best Practices 244

Best Practices Analytics Artificial Intelligence Infrastructure 244

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Using GCF within a video analysis workflow. What is Google Cloud Functions?

Google 221

Google Cloud Serverless Azure 221

Dynatrace

JULY 30, 2021

And, as we at Dynatrace have innovated through our CNCF project Keptn and just brought answer-driven release validation to our Dynatrace Cloud Automation solution it was easy to pick a new name for our new tour: “Cloud Automation Workshop Tour”. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice.

Cloud 214

Cloud DevOps Azure Virtualization 214

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Automatic topology analysis. Near-zero overhead.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. Unfortunately, traditional security testing and software composition analysis requires significant time to return results.

Cloud 177

Cloud Open Source Architecture Monitoring 177

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. Advanced AI applications using OpenAI services don’t just forward user input to OpenAI models; they also require client-side pre- and post-processing. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 164

Monitoring Latency Metrics Azure 164

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.

Cloud 168

Cloud Lambda Serverless AWS 168

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally. Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

NOVEMBER 22, 2021

With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. The following resources demonstrate how Dynatrace’s causation-based AI is changing the game for AIOps to bring real-time root-cause analysis to your AWS environment and beyond.?.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JULY 9, 2020

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. The Dynatrace teams also built automation on top of Dynatrace to automate many tasks of our Continuous Delivery & Feedback (CDF) and operational processes.

Cloud 188

Cloud DevOps Azure Architecture 188

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Increased time spent on innovation. What does APM stand for? Better user experiences.

Monitoring 149

Monitoring Mobile Social Media Artificial Intelligence 149

Tasktop

MARCH 16, 2021

As VSM becomes the de facto way to master software delivery at scale to accelerate digital innovation, it’s vital that you’re able to generate a specific set of value stream metrics to measure your software delivery against clear business results in real-time. For this process, you will need to call upon your: Value Stream Architects.

Metrics 52

Metrics Healthcare Automotive Innovation 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

SQL Server According to Bob

OCTOBER 26, 2017

Enhancing query performance with Adaptive Query Processing in SQL Server 2017. Analysis Services Innovations in SQL Server 2017. Microsoft Data Platform – SQL Server 2017 and Azure Data Services. Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database. Microsoft SQL Server 2017 Deep Dive.

Servers 40

Servers Azure Open Source Database 40

Tasktop

MARCH 16, 2021

As VSM becomes the de facto way to master software delivery at scale to accelerate digital innovation, it’s vital that you’re able to generate a specific set of value stream metrics to measure your software delivery against clear business results in real-time. For this process, you will need to call upon your: Value Stream Architects.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

NOVEMBER 25, 2019

To validate that the tracks we put together were directly hitting the mark to help organizations transform, I did a lot of data analysis and had conversations with our global customers, partners, and our own team at here at Dynatrace. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.

Software 38

Software Software DevOps Best Practices 38

Enprowess

JANUARY 12, 2022

Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 Besides that, these apps do well in areas with a slow internet connection. The vast growth of 31.82 Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins. How many ventilators currently are in repair by make?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins. How many ventilators currently are in repair by make?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

O'Reilly

FEBRUARY 18, 2020

Usage specific to Python as a programming language grew by just 4% in 2019; by contrast, usage that had to do with Python and ML—be it in the context of AI, deep learning, and natural language processing, or in combination with any of several popular ML/AI frameworks—grew by 9%. Data engineering as a task certainly isn’t in decline.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Many AI adopters are still in the early stages.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Locks used for strong consistency across processes. Document store.

Architecture 52

Architecture Cache Azure Storage 52