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 254

Cloud Azure Analytics AWS 254

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 183

Artificial Intelligence Analytics Cloud Innovation 183

Dynatrace

JANUARY 31, 2024

Integrations with cloud services and custom models such as OpenAI, Amazon Translate, Amazon Textract, Azure Computer Vision, and Azure Custom Vision provide a robust framework for model monitoring. Enterprises that fail to adapt to these innovations face extinction. million AI server units annually by 2027, consuming 75.4+

Cache 196

Cache Azure Infrastructure Monitoring 196

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. To fully answer “What are microservices?”

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. To fully answer “What are microservices?”

Architecture 241

Architecture Software Software Development 241

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 172

Infrastructure Cloud Azure AWS 172

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

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. But first, some background. Why containers? What is Docker?

Open Source 290

Open Source Traffic DevOps Cloud 290

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! Together we can drive even more innovation.

DevOps 242

DevOps Metrics Innovation Azure 242

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 224

Performance Analytics Mobile Innovation 224

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 151

Analytics Technology Technology Cloud 151

Alex Podelko

JUNE 12, 2019

If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in Azure DevOps will be retired. Well, yes and no. I am not so upbeat as I was in 2014. Open Source.

Testing 243

Testing Open Source Testing Tools Performance Testing 243

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

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. This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis.

Cloud 161

Cloud Lambda Serverless AWS 161

Scalegrid

APRIL 5, 2024

ScaleGrid offers managed DBaaS solutions to simplify scaling and managing Redis deployments with features such as dynamic scaling with minimal downtime, automated backups, and high availability, suitable for cloud platforms like AWS, Azure, and Google Cloud. How Does Redis Sharding Work?

Scalability 130

Scalability Efficiency Java Database 130

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Python libraries are no less useful for manipulating or engineering data, too.). In aggregate, data engineering usage declined 8% in 2019.

Software Architecture 137

Software Architecture DevOps Data Engineering Architecture 137

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.” Kubernetes forged by the rise of Google. If there was any company positioned to understand the problems and limitations of containers before anyone else, it was Google.

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

NOVEMBER 22, 2021

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. DevOps/DevSecOps with AWS. That finding echoes our own research. 2021 DevOps Report. Digital transformation creates complexity.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

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. Bamboo, Azure DevOps, AWS CodePipeline …. Help us make better deployment decisions.

Architecture 125

Architecture Open Source Azure Metrics 125

Scalegrid

JANUARY 12, 2024

These vendors serve data center players and offer advanced options, such as ScaleGrid’s engine, which ensures that different elements work well together automatically, eliminating the need for manual effort in managing heterogeneous environments. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

High Scalability

NOVEMBER 25, 2019

This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Google cloud. Google Pub/Sub. You can reach him at @kpatelwork. Introduction. Document store.

Architecture 52

Architecture Cache Azure Storage 52

Enprowess

JANUARY 12, 2022

The most preferred single-page applications are Gmail, Google Drive, Facebook, Twitter, and Instagram. Low data usage and Offline accessibility: It works fine in low internet reception and is also possible to access offline like Google Maps. One of the best examples to know how blockchain works is Google Docs. Examples of SPAs.

Blockchain 59

Blockchain IoT Development Serverless 59

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

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. There is hardly any innovation from traditional CMS vendors. Simply Static A static site generator (SSG) is nothing but a digital printing press.

Systems 63

Systems Cache Website Network 63

O'Reilly

NOVEMBER 28, 2023

While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies. Microsoft, Google, IBM, and OpenAI have offered more general indemnification.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112