Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. This awareness is important when the goal is to drive cost-conscious engineering. ” But Dynatrace goes further.

Best Practices 228

Best Practices Strategy Cloud AWS 228

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 208

Cloud Artificial Intelligence Performance AWS 208

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Observing orchestration frameworks The knowledge utilized by LLMs and other models is limited to the data on which these models are trained.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

MAY 8, 2023

In turn, this drives the need for increased integration of heterogeneous telemetry data such as metrics, logs, and traces, and intelligent awareness of context across disparate data types. It enables organizations to benefit from collective innovation for common tasks so they can concentrate on building their own IP.

Open Source 203

Open Source Strategy Lambda Metrics 203

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 258

Cloud Azure Analytics AWS 258

Dynatrace

NOVEMBER 2, 2023

Digital transformation has significantly increased the organizational demand to innovate faster. As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Moreover, it takes an average of nine hours for a software engineer to remediate a problem within a production application.

DevOps 201

DevOps Benchmarking Azure Innovation 201

Dynatrace

NOVEMBER 2, 2023

FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use. There are some challenges with implementing FinOps.

Cloud 192

Cloud Strategy Retail Energy 192

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

Dynatrace

SEPTEMBER 4, 2020

If you’re not familiar with Site Reliability Engineering (SRE) and the concepts of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs) I recommend watching the YouTube Video from Google Engineers called SLIs, SLOs, SLAs, oh my! class SRE implements DevOps) !

DevOps 245

DevOps Metrics Innovation Azure 245

Dynatrace

JULY 16, 2021

Many of our users are performance engineers using Cloud Automation Quality Gates to automate the analysis of their performance and load tests – saving hours of analysis time for each test they run. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 244

DevOps Open Source Cloud Azure 244

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 232

Performance Analytics Mobile Innovation 232

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. What is Google Cloud Functions? GCF is part of the Google Cloud Platform.

Google 218

Google Cloud Serverless Azure 218

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Enterprise cloud architects and engineers require significant knowledge to ensure that private and public clouds work together compatibly. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. Dynatrace news.

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Dynatrace

APRIL 15, 2022

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” “We have a rich metric expression language.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. This visibility extended across their distributed environment, including AWS Lambda and Microsoft Azure.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Focused on delivering business value. Use fewer resources.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Focused on delivering business value. Use fewer resources.

Architecture 243

Architecture Software Software Development 243

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”. Hands-on 2: Codify your SLOs.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

APRIL 22, 2022

With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. It only costs about $.01

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. But first, some background. Why containers?

Open Source 298

Open Source Traffic DevOps Cloud 298

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. The only deterministic and open AI -engine for observability data.

Analytics 154

Analytics Technology Technology Cloud 154

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 speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JULY 9, 2020

Besides our early adopter success stories, from avodag AG or amasol , we have seen lots of great innovation from Christian Heckelmann at eResearchTechnology (ERT), who integrated Keptn Quality Gates into their GitLab Pipeline which automates up to 90% of otherwise manual build approval tasks.

Cloud 185

Cloud DevOps Azure Architecture 185

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. But most of that budget goes toward running the business—not software innovation. 9 key DevOps metrics for success. What are the typical use cases for AWS Lambda?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

APRIL 30, 2019

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Increased time spent on innovation. Dynatrace news. Mobile apps, websites, and business applications are typical use cases for monitoring. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 31, 2021

Container runtime engines, such as Docker’s runC, leverage OS-level virtualization capabilities offered from the kernel to create isolated spaces called “containers.” Horizontal Pod Autoscaler (HPA) adjusts the number of instances or replicas based on observed metrics. Examples include: Azure Kubernetes Service (AKS).

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

NOVEMBER 25, 2019

Let’s take a look at two key indicators from our 2018 Dynatrace ACM Survey: MTTI (Mean Time to Innovate): How long does it take to push a new feature that is fully tested, ready to go to production, until end-users receive it? Increase quality and agility with load & performance engineering as a self-service.

Software 38

Software Software DevOps Best Practices 38

Percona

JULY 1, 2023

What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. Amazon Aurora is a relational, proprietary, closed-source database engine with all that that implies. Remember that certain MySQL features like the MyISAM storage engine are not available with Amazon Aurora. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

High Scalability

NOVEMBER 25, 2019

This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. You can reach him at @kpatelwork.

Architecture 52

Architecture Cache Azure Storage 52

Tasktop

OCTOBER 30, 2019

Scott Havens, Senior Director of Engineering at Mode Operandi, highlighted the benefits of event-based systems over legacy approaches, and how software architecture should be just as beautiful as the clothes on sale. Auditors – a powerful asset to help you innovate . Photo credit: @DOES_USA.

DevOps 8

DevOps Education Innovation Metrics 8