Dynatrace

JULY 19, 2024

Dynatrace customers are well accustomed to this process as they use it when zero-day runtime vulnerabilities such as log4j are discovered that immediately present a threat to large swaths of their environment. Q: Do we help with our customers’ entire environments?

Airlines 306

Airlines Servers Retail Monitoring 306

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. Development teams use GitOps to specify their infrastructure requirements in code.

DevOps 238

DevOps Infrastructure Speed Cloud 238

Smashing Magazine

AUGUST 20, 2021

Jamstack CMS: The Past, The Present and The Future. Jamstack CMS: The Past, The Present and The Future. However, unlike the early days of the web, static sites are no longer limited to developers working in a code editor. The benefit of doing this is the entire site’s source code can live in Git. Mike Neumegen.

Ecommerce 140

Ecommerce Website Government Internet 140

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. We can determine A/B test membership in either device application or backend code and selectively invoke new code paths and services.

Traffic 287

Traffic Metrics Systems Strategy 287

Dynatrace

AUGUST 8, 2024

As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. Software bugs Software bugs and bad code releases are common culprits behind tech outages. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components.

Software 260

Software Software Infrastructure Network 260

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 198

Artificial Intelligence Analytics Efficiency Database 198

Dynatrace

JUNE 20, 2023

With the introduction of Jetpack Compose and SwiftUI , the development of mobile apps has become more accessible, efficient, and streamlined. With this additional context—for example, location in code, initial and transition states, interaction types, and more—Dynatrace makes sense of the user journey and the technical components in use.

Mobile 275

Mobile Monitoring Entertainment Innovation 275

The Netflix TechBlog

NOVEMBER 12, 2024

Today, we’re excited to present the Distributed Counter Abstraction. In this context, they refer to a count very close to accurate, presented with minimal delays. Without an efficient data retention strategy, this approach may struggle to scale effectively. The challenge lies in determining the appropriate number of buckets.

Latency 253

Latency Cache Infrastructure Strategy 253

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. Shift-left using an SRE approach means that reliability is baked into each process, app and code change. SRE drives a “shift left” mindset.

Engineering 260

Engineering DevOps Government Latency 260

Dynatrace

NOVEMBER 11, 2021

Despite the fact that more than 80% of organizations now employ multicloud architecture, “hyperscaler” clouds such as AWS, Google Cloud and Microsoft Azure present monitoring and management issues for cloud practitioners. This approach—known as DevSecOps —places greater emphasis on developing secure application code in the cloud.

AWS 225

AWS Cloud Lambda Azure 225

Dynatrace

AUGUST 27, 2024

Although DORA helps banking and financial institutions prevent, respond to, and recover from critical cybersecurity incidents, DORA compliance could present many hurdles for financial institutions. Leveraging code-level insights and transaction analysis, teams can detect and thwart malicious activity.

Best Practices 276

Best Practices Government DevOps Analytics 276

Dynatrace

MAY 17, 2022

This file is automatically configured with working defaults, but it can be easily modified using a code editor such as VS Code. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Of course, everything is deployed using standard kubectl commands.

Availability 328

Availability Scalability Cloud Metrics 328

Dynatrace

MARCH 27, 2024

How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments. Dynatrace ownership functionality supports configuration-as-code via its proprietary Monaco (Monitoring as code) CLI or Terraform.

Best Practices 211

Best Practices Azure Database Code 211

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability.

Engineering 194

Engineering Development Infrastructure Cloud 194

Dynatrace

OCTOBER 10, 2023

In this blog post, we’ll delve deeper into these categories to gain a comprehensive understanding of their significance and the challenges they present. Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient.

Engineering 239

Engineering DevOps Innovation Strategy 239

Dynatrace

AUGUST 5, 2022

DevSecOps is a methodology that brings development, security and operations teams closer together to ensure high-quality, secure application code. DevSecOps presents organizations that are already practicing DevOps with an alternate, more proactive perspective on security. DevSecOps is short for development, security, and operations.

DevOps 220

DevOps Cloud Best Practices Open Source 220

Dynatrace

AUGUST 21, 2024

This information specifies which function in the source code relates to a vulnerability. Vulnerable function monitoring Tracking vulnerable open source software components efficiently is one of the most important pillars of managing attack surfaces. See Dynatrace documentation for how to efficiently manage third-party vulnerabilities.

Java 242

Java Monitoring Open Source Software 242

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?

Artificial Intelligence 202

Artificial Intelligence Tuning Strategy Big Data 202

Alex Podelko

DECEMBER 19, 2019

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 – Another presentation on resource optimization – this one from Salesforce. And, by the way, you may get a discount with my personal code Podelko10.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Dynatrace knows it is not part of the system because the AI has detected an unusual increase in CPU resource consumption, and we see this process was not present the day before. And this poses a significant risk.

Government 239

Government DevOps Infrastructure Network 239

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. where an error occurred at the code level. This can vastly reduce an organization’s storage costs and improve data efficiency. A modern approach to log analytics stores data without indexing.

Analytics 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

NOVEMBER 6, 2023

Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0

Azure 191

Azure Analytics Artificial Intelligence Innovation 191

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. Better-quality code. This can vastly reduce an organization’s storage costs and improve data efficiency. Inadequate context.

Analytics 226

Analytics Storage Retail Monitoring 226

Dynatrace

OCTOBER 14, 2022

To further enrich log data for automated observability, it’s necessary to dynamically tie logs to distributed traces on the code level, user sessions in the app front-end, and the topology of your IT landscape. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level.

Storage 240

Storage Government Network Monitoring 240

Dynatrace

MARCH 11, 2021

During the implementation of the real-time visualization I presented in part three , I had an idea for another visualization; I wanted to visualize the number of detected problems globally, for a longer timeframe. This is required for understanding how I intend to improve the efficiency of (manual) alert ticket handling.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

OCTOBER 10, 2024

Moreover, the OpenTelemetry Collector can measure service span durations, categorized by span names, span kinds, and status codes. The span metrics connector creates these measurements and presents them as histograms, which can be analyzed in Dynatrace for deeper insights. Dynatrace now fully supports them.

Metrics 172

Metrics Monitoring Efficiency Availability 172

Dynatrace

SEPTEMBER 23, 2021

Four types of tools are commonly used to detect software vulnerabilities: Source-code tests that are used in development environments. Source code tests. Products that scan source code before the container is built are known as Software Composition Analysis (SCA) tools and Static Application Security Test (SAST) tools.

Open Source 261

Open Source Benchmarking Best Practices Network 261

The Netflix TechBlog

JULY 22, 2024

By Jun He , Natallia Dzenisenka , Praneeth Yenugutala , Yingyi Zhang , and Anjali Norwood TL;DR We are thrilled to announce that the Maestro source code is now open to the public! Maestro supports dynamic parameters with code injection, which is super useful and powerful. Please visit the Maestro GitHub repository to get started.

Strategy 260

Strategy Scalability Code Engineering 260

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. SVT-AV1 codebase status The SVT-AV1 repository includes both an AV1 encoder and decoder, which share a significant amount of the code.

Open Source 160

Open Source Efficiency C++ Speed 160

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Cloud environments present IT complexity challenges that don’t exist in on-premises data centers. This crucial context also enables teams to understand how all entities are connected.

DevOps 242

DevOps Innovation Infrastructure Cloud 242

Dynatrace

DECEMBER 8, 2020

Teams are embracing new technologies and continuously deploying code. But what if you could see what’s running in production in real-time, continuously analyzing all services for vulnerabilities, and prioritizing those based on what code is called? They also can’t provide deep insights unless you have source code access.

Cloud 298

Cloud Open Source Internet Internet 298

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Another big advantage of automation-as-code is the scale at which automation is enabled.

Cloud 184

Cloud DevOps Code Open Source 184

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. Such reuse created tight coupling and reduced development velocity.

Processing 240

Processing Media Latency Innovation 240

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the last section, we will attempt to feed your curiosity by presenting a set of opportunities that will drive our next wave of impact for Netflix.

Infrastructure 186

Infrastructure Cloud Scalability AWS 186

Dynatrace

APRIL 25, 2023

Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently? and GoLang to reduce the necessary boilerplate code to a minimum.

Serverless 220

Serverless Lambda Azure AWS 220

Dynatrace

MAY 2, 2024

At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. ’ and ‘How compliant are we?

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242