Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

NOVEMBER 9, 2021

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 and Cloud Ops Automation. Legacy IT systems inhibit change while consuming budgets.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

NOVEMBER 11, 2021

Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021. Such a solution does more than provide charts and graphs of system behavior, leaving teams to guess the answer. The research estimated a 35% increase in public cloud usage in 2021 alone.

AWS 206

AWS Cloud Lambda Azure 206

Dynatrace

SEPTEMBER 9, 2022

An application modernization strategy may include the rearchitecting, rebuilding, re-coding, refactoring, re-hosting, replatforming, or even the retirement and replacement of legacy systems. Or, the team might use specific serverless designs as part of the modernization efforts. Monitor and measure progress during the migration.

Strategy 220

Strategy Benchmarking Serverless Infrastructure 220

Dynatrace

OCTOBER 13, 2021

Vulnerability assessment is the process of identifying, quantifying, and prioritizing the cybersecurity vulnerabilities in a given IT system. The goal of an assessment is to locate weaknesses that can be exploited to compromise systems. Vulnerability assessment is an established area of security. Identify vulnerabilities. Assess risk.

Infrastructure 165

Infrastructure Open Source Virtualization Operating System 165

Dynatrace

MARCH 22, 2023

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production.

Open Source 191

Open Source Artificial Intelligence Internet Internet 191

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Instead, they need to enlist software intelligence to monitor their systems end to end to identify and prioritize remediation efforts.

Strategy 218

Strategy Innovation Cloud Serverless 218

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail. APM solutions: A primer. Real-time awareness in context.

Artificial Intelligence 227

Artificial Intelligence Monitoring Infrastructure Cloud 227

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

Serverless 241

Serverless Efficiency Lambda Azure 241

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

Serverless 181

Serverless Azure Lambda AWS 181

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 258

Serverless Infrastructure Innovation DevOps 258

Adrian Cockcroft

FEBRUARY 13, 2023

Discussion of the water positive goal and optimizations that let AWS return water directly for irrigation rather than to the sewage system. SUS209 — there was no talk with this code. SUS304 to SUS311 No talks with these codes. They optimized airflow in datacenters to reduce cooling energy use by 20%.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. And, applying the “Everything as Code” principles can greatly help achieve that. Benefits of Everything as Code.

Code 107

Code Infrastructure DevOps Serverless 107

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. Dynatrace news. What is Azure Functions? How Azure Functions works.

Azure 136

Azure Serverless IoT Lambda 136

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

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. Dynatrace news.

Google 215

Google Cloud Serverless Azure 215

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Accordingly, monolithic software systems employ one large codebase (or repository), which includes collections of tools, SDKs, and associated development dependencies. Microservices benefits.

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. Accordingly, monolithic software systems employ one large codebase (or repository), which includes collections of tools, SDKs, and associated development dependencies. Microservices benefits.

Architecture 242

Architecture Software Software Development 242

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. Report on the health of the system by measuring performance and resources. Dynatrace news. Leaders in tech are calling for radical change.

Monitoring 185

Monitoring Artificial Intelligence DevOps Serverless 185

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies. But nothing is perfect — and microservices is no exception.

Architecture 193

Architecture Serverless Azure Programming 193

Dynatrace

NOVEMBER 10, 2022

This infrastructure is a type of cloud computing service — also known as infrastructure-as-as-service — that teams replace rather than change using automation software and declarative code. These APIs shift the complexity of building and configuring APIs from the user to the system. Declarative APIs. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

MAY 23, 2022

IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps. Easier to develop.

Architecture 189

Architecture DevOps Monitoring Programming 189

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 172

Artificial Intelligence Metrics Architecture DevOps 172

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 21, 2022

To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes. Using high-fidelity metrics, logs, code-level tracing, and a dynamic topology map of your applications, Davis can identify the precise root cause and prioritize its business impact. Let’s look at an example. Reliability.

Azure 182

Azure Monitoring Virtualization Metrics 182

Smashing Magazine

AUGUST 20, 2021

However, unlike the early days of the web, static sites are no longer limited to developers working in a code editor. During the 90s, we saw two content management systems for static sites — Microsoft FrontPage in 1996 and Macromedia Dreamweaver in 1997. The benefit of doing this is the entire site’s source code can live in Git.

Ecommerce 140

Ecommerce Website Government Internet 140

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Raw content data along with templates are version controlled using Git or similar versioning systems.

Systems 63

Systems Cache Website Network 63

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148