Dynatrace

SEPTEMBER 23, 2021

To solve this problem, Dynatrace automatically analyzes AWS Distribution for OpenTelemetry data, adds topological context, and makes it easy to find the root cause of problems using Dynatrace Davis®, our AI causation engine. Davis, the Dynatrace AI engine, detects an increase in an HTTP error that impacts 973 users.

AWS 228

AWS Lambda Serverless Metrics 228

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. The benefits of serverless Lambda functions.

Lambda 184

Lambda AWS Serverless Hardware 184

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 227

Google Cloud Serverless Azure 227

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. 01 for every 1,000 metrics.

Cloud 173

Cloud Lambda Serverless AWS 173

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Don’t pay for capacity you don’t use or need.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. All Dynatrace enhancements mentioned in this blog post will be available within the next 90 days. Next steps.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Dynatrace built and optimized it for Davis® AI, the game-changing Dynatrace artificial intelligence engine that processes billions of dependencies in the blink of an eye.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

APRIL 29, 2021

Many Site Reliability Engineers could do without the frustrations of managing virtual or bare-metal compute nodes. Though serverless platforms relieve them from this burden, such platforms are built using Kubernetes alternatives that require different APIs, orchestration tools, and observability requirements. Dynatrace news.

AWS 144

AWS Serverless Java Virtualization 144

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Dynatrace news.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. With other products, we had to make guesses about the impacted services based solely on metrics”. – DevOps Engineer, large healthcare company. This is great! How to get started.

Analytics 192

Analytics Systems DevOps Healthcare 192

Dynatrace

JULY 7, 2022

One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. Common problems with monolithic architecture. API gateways.

Architecture 206

Architecture Serverless Azure Programming 206

Dynatrace

NOVEMBER 10, 2020

Dynatrace provides out-of-the-box distributed tracing for Kubernetes and Google App Engine stacks, as well as full-stack Kubernetes Container Optimized OS support. As a developer, you might use Google Cloud Function for serverless components. Simplified cloud complexity with fully automated observability of Google Cloud.

Google 226

Google Cloud Serverless Innovation 226

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 observability problem of the serverless approach. Dynatrace news.

Azure 138

Azure Serverless IoT Lambda 138

Dynatrace

AUGUST 17, 2021

One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Microservices architecture enables developers to use many different images, containers, and management engines in assembling a microservices ecosystem. Use fewer resources.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Microservices architecture enables developers to use many different images, containers, and management engines in assembling a microservices ecosystem. Use fewer resources.

Architecture 245

Architecture Software Software Development 245

Dynatrace

NOVEMBER 20, 2020

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A new wave of innovation for AIOps.

Artificial Intelligence 255

Artificial Intelligence Serverless Analytics Innovation 255

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. And for observability to be successful, it requires much more than just logs, metrics, and traces. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 223

DevOps Innovation Cloud Programming 223

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

NOVEMBER 17, 2020

Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. Well-defined metrics for your applications and microservices should also be at the heart of your technical analysis.

Analytics 159

Analytics Technology Technology Cloud 159

Dynatrace

APRIL 20, 2022

Guest blog from Andrian Gonciaz , Lead QA/SRE at Kitopi, in collaboration with Wolfgang Beer and Andreas Grabner (both Dynatrace). It turned out Dynatrace was the right decision due to its flexibility in combining its OneAgent full-stack metrics with external metrics we extracted from business events we sent through Apache Kafka.

Metrics 205

Metrics Mobile Internet Internet 205

Dynatrace

JANUARY 12, 2021

It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. The post Modern approaches to observability and monitoring for multicloud environments appeared first on Dynatrace blog.

Monitoring 197

Monitoring Artificial Intelligence DevOps Serverless 197

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

Dynatrace

NOVEMBER 26, 2019

In today’s increasingly complex environments, it’s simply impossible for a human operator to manually follow the highly dynamic nature of transactions within microservices and serverless functions. Back during Perform 2019, we introduced the next generation of the Dynatrace AI causation engine , also known as Davis.

Engineering 53

Engineering Serverless Metrics Code 53

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Announcing seamless integration of OpenTracing data into Dynatrace PurePath 4.

Java 239

Java Traffic Strategy Architecture 239

Dynatrace

MAY 9, 2022

In Figure 7, we can pick the service from the service flow, look at the metrics, and then compare the performance changes in a single, built-in Dynatrace feature. Often, customers want to compare every component in the full stack, including front-end user experience metrics and infrastructure performance metrics.

Strategy 204

Strategy Cloud Infrastructure Java 204

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 193

Azure Monitoring Virtualization Metrics 193

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. Cosmos offers several benefits as highlighted in the linked blog, such as separation of concerns, independent deployments, observability, rapid prototyping and productization. Assembly for two of the metrics (e.g.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

JANUARY 8, 2020

Just displaying a bunch of metrics on dashboards doesn’t help you solve problems – it overwhelms you with alerts and data. When you deploy infrastructure monitoring tools that are primarily metric aggregators like Datadog or New Relic, you must know everything about your environment and what you want to monitor up-front.

Infrastructure 153

Infrastructure Cloud Monitoring Metrics 153

The Netflix TechBlog

SEPTEMBER 8, 2020

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. This allowed Android engineers to have much more control and observability over how we get our data. We will talk more about how we used these metrics in the sections to follow.

Latency 233

Latency Cache Java Traffic 233

Abhishek Tiwari

JULY 20, 2019

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. One thing stand-out to me is being intentional and practical about your engineering organisation design. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model.

Engineering 61

Engineering Retail Airlines Healthcare 61

Percona

JULY 1, 2023

In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS. What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. What are the differences between Aurora and RDS? How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Adrian Cockcroft

FEBRUARY 13, 2023

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

MAY 17, 2021

I founded Instant Domain Search in 2005 and kept it as a side-hustle while I worked on a Y Combinator company (Snipshot, W06), before working as a software engineer at Facebook. There are three Core Web Vitals metrics that Google will use to help rank sites in their upcoming search algorithm update. ( Large preview ). Large preview ).

Google 93

Google Analytics Serverless Metrics 93

All Things Distributed

JUNE 21, 2018

That learning is at the heart of this blog post—databases are built for a purpose and matching the use case with the database will help you write high-performance, scalable, and more functional applications faster. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.

Database 167

Database AWS Games Latency 167