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. It also enables DevOps teams to connect to any number of AWS services or run their own functions. What is AWS Lambda? How does AWS Lambda work?

Lambda 179

Lambda AWS Serverless Hardware 179

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. These serverless functions allow developers to focus on their business logic.

Lambda 293

Lambda AWS Programming Serverless 293

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 166

Lambda AWS Serverless Infrastructure 166

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 221

Google Cloud Serverless Azure 221

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. By identifying degradation in quality and security throughout the lifecycle, remediation actions can be triggered automatically.

Serverless 212

Serverless DevOps Cloud Metrics 212

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

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 137

Azure Serverless IoT Lambda 137

Dynatrace

JUNE 13, 2022

Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards. How can organizations get ahead of runtime vulnerabilities before they affect sensitive data?

Open Source 221

Open Source DevOps Java Innovation 221

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. Service mesh.

Architecture 199

Architecture Serverless Azure Programming 199

Dynatrace

NOVEMBER 9, 2021

And for observability to be successful, it requires much more than just logs, metrics, and traces. We start with metrics, traces, and logs (that’s table stakes) but also provide context and enrichment through topology, behavior, code, metadata, and network, combined with data from application programming interfaces (API) and OpenTelemetry.

DevOps 217

DevOps Innovation Cloud Programming 217

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. It also enables the agile DevOps development techniques that have been adopted by 83% of IT organizations, according to Puppet. Stateful applications — or those that manage and store data directly — create risk and complexity.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Dynatrace news. Leaders in tech are calling for radical change. Observability brings multicloud environments to heel. Another challenge is overcoming alert storms.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

Dynatrace

DECEMBER 22, 2021

Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. Observability is made up of three key pillars: metrics, logs, and traces. Traces provide performance data about tasks that are performed by invoking a series of services.

Artificial Intelligence 177

Artificial Intelligence Metrics Architecture DevOps 177

Dynatrace

DECEMBER 24, 2020

IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Dynatrace news.

DevOps 243

DevOps Infrastructure Cloud Monitoring 243

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Limited observability. Cultural shift. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Limited observability. Cultural shift. Microservices managed.

Architecture 244

Architecture Software Software Development 244

Dynatrace

NOVEMBER 11, 2022

A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. data-raw '{. What you need to know for root cause analysis.

DevOps 180

DevOps C++ Serverless Processing 180

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. PMM can also show you historical data that can help you identify how long a service has been in a given state.

Cloud 118

Cloud Serverless AWS Storage 118

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components.

Google 219

Google Cloud Serverless Innovation 219

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. But managing these three data types at a scale becomes unsustainable for even the most experienced teams. Operational excellence.

Azure 187

Azure Monitoring Virtualization Metrics 187

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 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

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 246

AWS Efficiency Azure Cloud 246

Dynatrace

JANUARY 8, 2020

Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. Just displaying a bunch of metrics on dashboards doesn’t help you solve problems – it overwhelms you with alerts and data. Able to provide answers, not just data.

Infrastructure 150

Infrastructure Cloud Monitoring Metrics 150

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Dynatrace news. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

FEBRUARY 13, 2023

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64

AWS Energy Architecture Programming 64