Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 198

AWS Cloud Lambda Analytics 198

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS Lambda. AWS monitoring best practices.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to Dynatrace to help them monitor complex environments without the hassle. ski explains.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Methods include the observability capabilities of the platforms their applications run on; monitoring tools, OpenTelemetry, OpenTracing, OpenMonitor, OpenCensus, Jaeger, Zipkin, Log, CloudWatch, and more. This is where Dynatrace comes into play.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises.

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 192

Energy Artificial Intelligence AWS Lambda 192

Dynatrace

SEPTEMBER 23, 2021

An increasing number of companies are using cloud solutions for faster operations, greater flexibility, and to provide their customers with the best customer experience. This creates complex, heterogeneous, and highly dynamic cloud-native environments. AI-powered analytics —Automatic root cause detection .

AWS 223

AWS Lambda Serverless Metrics 223

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. If you’re building large applications based on Azure Functions architecture, then Azure Functions monitoring with Dynatrace helps you to: Optimize response-time hotspots. What’s next.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Dynatrace news.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214

Dynatrace

AUGUST 21, 2023

If a microservice falls in the forest and all your monitoring solutions report it differently, can operators accurately trace what happened and automate a response? Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event.

Open Source 195

Open Source Analytics Lambda Metrics 195

Adrian Cockcroft

MAY 6, 2023

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. If you’re building large applications based on Azure Functions architecture, then Azure Functions monitoring with Dynatrace helps you to: Optimize response-time hotspots. What’s next.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. Cluster and container Log Analytics. End-user monitoring. End-user monitoring. Dynatrace news. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing. Dynatrace news. What is Azure Functions?

Azure 137

Azure Serverless IoT Lambda 137

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. through our AWS integrations and monitoring support.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Thus it’s common to use some form of phased rollout, monitoring progress as you go, with the idea of rolling back a change if it looks like it’s causing problems. NSDI’20. Gandalf system design.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. AWS is working with incubators and accelerators such as SeedCamp and Techstars , in London; Ignite100 in Newcastle; and DotForge in Sheffield and Manchester to help startups make the most of the cloud.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141

Cloud Serverless AWS Architecture 141

All Things Distributed

JULY 14, 2015

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

In-memory: Financial services, Ecommerce, web, and mobile application have use cases such as leaderboards, session stores, and real-time analytics that require microsecond response times and can have large spikes in traffic coming at any time. Search: Many applications output logs to help developers troubleshoot issues.

Database 167

Database AWS Games Latency 167