Dynatrace

JULY 25, 2024

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer.

Strategy 237

Strategy Engineering Open Source Java 237

Dynatrace

JANUARY 12, 2022

To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. Seamless observability of messaging systems is critical for DevOps teams. As a result, DevOps teams usually spend a significant amount of time troubleshooting anomalies, resulting in high MTTR and SLO violations.

Analytics 199

Analytics Systems DevOps Healthcare 199

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Discovery using global search.

Analytics 222

Analytics Metrics Media Monitoring 222

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 214

Analytics Metrics DevOps Storage 214

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. Has the user purchased this product before?

DevOps 231

DevOps Traffic Efficiency Servers 231

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 193

Analytics Storage Retail Monitoring 193

Dynatrace

FEBRUARY 9, 2021

When it comes to mobile monitoring, everyone has their own point of view… Mobile is not a single technology: it involves different development teams handling Android and iOS apps, performance engineering teams, cloud operations, and marketing. How do I connect the dots between mobile analytics and performance monitoring?

Analytics 217

Analytics Mobile Performance Monitoring 217

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 204

Analytics Retail Metrics Mobile 204

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 263

Cloud Lambda AWS Analytics 263

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Dynatrace’s RUM for Mobile Apps provides crash analytics by default. Dynatrace news. Mobile Crashes. Watch webinar now!

DevOps 217

DevOps Social Media Mobile Metrics 217

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 194

Engineering Development Infrastructure Cloud 194

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 287

Efficiency Performance Analytics DevOps 287

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. Engineering teams will, therefore, always need to check the code they get from GPTs to ensure it doesn’t risk software reliability, performance, compliance, or security.

Innovation 273

Innovation Software Software Artificial Intelligence 273

Dynatrace

DECEMBER 12, 2024

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. UMELT are kept cost-effectively in a massive parallel processing data lakehouse, enabling contextual analytics at petabyte scale, fast.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

APRIL 21, 2022

In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. DevOps teams are challenged to rapidly identify the root cause of issues without support from database administrators. Enrich database performance KPIs with business analytics.

Database 245

Database DevOps Analytics Servers 245

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 216

Technology Technology Artificial Intelligence Analytics 216

Dynatrace

AUGUST 27, 2024

This can require process re-engineering to fill gaps and ensuring clear communication and collaboration across security, operations, and development teams. Moreover, the Davis AI engine assists in prioritizing what needs to be fixed first. Dynatrace Security Analytics can also improve the effectiveness and efficiency of threat hunts.

Best Practices 276

Best Practices Government DevOps Analytics 276

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. In production, containers are easy to replicate. What is Kubernetes?

Open Source 313

Open Source Traffic DevOps Cloud 313

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

OCTOBER 4, 2024

In such contexts, platform engineering offers a compelling solution to enable business competitiveness in a manner that significantly enhances the developer experience. Treating an Internal Developer Platform (IDP) as a product is an emerging paradigm within platform engineering communities.

Software 230

Software Software Development Performance 230

Dynatrace

OCTOBER 17, 2024

You can now explore related insights and AI-powered analytics within a single host detail view. This view offers DevOps and engineers metrics related to health, security status, service events, and service level objectives (SLOs), paired with quick access to drill deep into logs or process-level insights.

Infrastructure 217

Infrastructure Network DevOps Metrics 217

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 200

Software Software Analytics Big Data 200

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. All these tasks can take place seamlessly—ultimately resolving issues or identifying them proactively—and without needing to interrupt an engineer from a more strategic task.

Code 224

Code DevOps Cloud Analytics 224

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . F or the third time in a row, we are positioned furthest in the quadrant for Completeness of Vision.

DevOps 253

DevOps Innovation Monitoring Analytics 253

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Such fragmented approaches fall short of giving teams the insights they need to run IT and site reliability engineering operations effectively.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

Dynatrace

FEBRUARY 8, 2021

To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools. Some solutions that use logs for troubleshooting only provide manual analytics to search for the root causes of issues.

Cloud 263

Cloud Azure Analytics Open Source 263

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This opens up new analytics use case to e.g: The post Tutorial: Guide to automated SRE-driven performance engineering appeared first on Dynatrace blog. Dynatrace news. test name, test step.

Engineering 200

Engineering Performance Metrics Best Practices 200

Dynatrace

DECEMBER 12, 2023

As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%). DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs.

Artificial Intelligence 217

Artificial Intelligence DevOps Analytics Strategy 217

Dynatrace

OCTOBER 3, 2024

That’s why we have Dynatrace extended (not shifted) to the left to address both needs: developers have easy and safe access to staging and production deployments while central SRE and DevOps teams have the scalable and automatic observability they need to remain compliant, consistent, and resilient. Note that the work doesn’t get reduced.

Availability 236

Availability DevOps Analytics Cloud 236

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Enter causal AI.

Performance 198

Performance DevOps Innovation Artificial Intelligence 198

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. Through these orchestrated efforts, platform engineering promotes a collaborative environment, enabling more efficient validation cycles and fostering continuous enhancement in software quality and delivery.

DevOps 216

DevOps Metrics Engineering Analytics 216

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. DevOps requires infrastructure experts and software experts to work hand in hand. Evolution of modern AIOps.

DevOps 229

DevOps Big Data Cloud Innovation 229

Dynatrace

AUGUST 31, 2020

This marks the fifth consecutive year Dynatrace has appeared on Constellation’s ShortList of DPM leaders, further validating Dynatrace’s commitment to innovating and disrupting the DPM space with our Software Intelligence Platform and AI-engine, Davis. The challenge – and business-critical importance – of mastering DPM.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. A unified observability and security analytics strategy can guide organizations toward a more proactive security posture at scale. Learn more in this blog.

Analytics 188

Analytics Government DevOps Efficiency 188

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. Chaos engineering. Auto-remediation.

Software 208

Software Software Artificial Intelligence DevOps 208