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. Notebooks offers advanced Azure observability analytics with DQL.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Traditional storage solutions were not created to address these requirements, which are common among modern deployments. AI-powered analytics. Acceleration of innovation.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI? What is AIOps?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

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

APRIL 8, 2024

Power business analytics with Dynatrace Banks that can deploy vertically integrated risk management solutions will deliver unprecedented agility, precision, and control for risk management functions. Resilient, high-performing technology ecosystems that accelerate innovation through faster development cycles.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and analytics have become a particular challenge. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes.

Cloud 182

Cloud Artificial Intelligence Innovation Analytics 182

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and log analytics have become a particular challenge. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

OCTOBER 17, 2023

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying.

Retail 242

Retail Storage Best Practices Architecture 242

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

AUGUST 21, 2023

OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. 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 202

Open Source Analytics Lambda Metrics 202

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 22, 2021

With dependable, contextual observability data, teams can develop data-driven service-level agreements (SLAs) and service-level objectives (SLOs) to make their AWS infrastructure more reliable and resilient. AWS: A service for everything. Amazon EC2. EC2 is ideally suited for large workloads with constant traffic. Amazon EKS.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. StackOverflow statistics show that 26% of developers preferred it in 2017, 34% in 2019, and 40% in 2021. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting.

Open Source 75

Open Source Healthcare Social Media Database 75

All Things Distributed

APRIL 5, 2012

Customer Conversations - How Intuit and Edmodo Innovate using Amazon RDS. From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). Whats unique and innovative about your service?

Innovation 146

Innovation AWS Education Network 146

Dynatrace

MAY 21, 2023

It started as an observability platform; over time, it has expanded to provide real user monitoring, business analytics, and security insights. Thanks to the details provided by the code-level vulnerability functionality , the developers knew where in the code the exploited vulnerability was and were able to address and patch it quickly.

Analytics 234

Analytics Metrics Cloud Systems 234

Percona

MARCH 30, 2023

In fact, the opposite is true, thanks to an active and vibrant global community of developers who work continuously to improve open source software. Their work produces higher-quality code and enables faster innovation, while maintaining high security standards.

Open Source 72

Open Source Database Storage Scalability 72

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Being able to see the code in action ensures developers can identify any code issues in early phases and innovate faster (fail early, fail often).

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., Amazon Redshift, DynamoDB, Amazon EMR) whereas insights need to be derived by not just developers but also non-technical business users.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Comments ().

Storage 71

Storage Cloud AWS Scalability 71

Percona

JULY 17, 2023

Developers and DBAs like MongoDB’s ease-of-use. DBAs and developers appreciate its combination of flexibility, scalability, and performance. DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging.

Open Source 73

Open Source Database Scalability Software 73

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129

Cloud Energy AWS Healthcare 129

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

All Things Distributed

JUNE 29, 2011

Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. For more details see the announcement , the details pages of the services at [link] , and the posting on the AWS developer blog. Comments ().

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

APRIL 27, 2011

In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. To meet these demanding and unusual requirements, weve developed several alternative, purpose-built persistence solutions, including our own key-value store and single table store. Comments (). At werner.ly

Technology 151

Technology Technology AWS Storage 151

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Many changes are rendered through automated testing. Autonomous Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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. Most of cloud object/blob storage services have native support for static site hosting.

Systems 63

Systems Cache Website Network 63

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud. Comments ().

AWS 115

AWS Cloud Java Scalability 115