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 194

Analytics Metrics DevOps Storage 194

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 175

Analytics Storage Retail Monitoring 175

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.

DevOps 213

DevOps Traffic Efficiency Servers 213

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 180

Analytics Systems DevOps Healthcare 180

Dynatrace

MAY 4, 2021

Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.

Infrastructure 175

Infrastructure Monitoring Artificial Intelligence Cloud 175

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 234

Engineering Development DevOps Infrastructure 234

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Every journey matters, and we have to deliver on every single transaction.”.

DevOps 205

DevOps Metrics Virtualization Strategy 205

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

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 180

Software Software Analytics Big Data 180

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

Engineering 266

Engineering DevOps Best Practices Infrastructure 266

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 179

Analytics Innovation Metrics Database 179

Dynatrace

NOVEMBER 22, 2022

For organizations running their own on-premises infrastructure, these costs can be prohibitive. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. What is always-on infrastructure?

Infrastructure 176

Infrastructure Availability Systems Retail 176

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. Creating an SLO dashboard for Business, DevOps, and SREs.

DevOps 197

DevOps Social Media Mobile Metrics 197

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Every journey matters, and we have to deliver on every single transaction.”.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Grail, alongside Dynatrace Davis AI, enables organizations to move beyond simple event correlation and to identify the root cause of problems in their applications and infrastructure.

Artificial Intelligence 176

Artificial Intelligence DevOps Strategy Open Source 176

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 268

Efficiency Performance Analytics DevOps 268

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 225

DevOps Innovation Infrastructure Analytics 225

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 189

DevOps Analytics Airlines Metrics 189

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.

Analytics 213

Analytics Storage Infrastructure Metrics 213

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale.

Database 237

Database DevOps Analytics Servers 237

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

APRIL 11, 2023

Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. These two processes feed into one another.

Systems 180

Systems Cloud Analytics DevOps 180

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps vs. DevOps and DevSecOps.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

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. Introduction of AIOps.

DevOps 210

DevOps Big Data Cloud Innovation 210

Dynatrace

AUGUST 7, 2023

To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps? What is DevSecOps?

DevOps 178

DevOps Analytics Best Practices Java 178

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. The platform aims to help DevOps teams optimize the allocation of compute resources across all containerized workloads in deployment. AI-powered analytics. Containers need to spin up and down easily.

Open Source 185

Open Source Storage Analytics Innovation 185

Dynatrace

FEBRUARY 15, 2023

And operations teams need to forecast cloud infrastructure and compute resource requirements, then automatically provision resources to optimize digital customer experiences. Similarly, security teams need to discover and automatically route security vulnerabilities to the right people to ensure prompt action.

Code 204

Code DevOps Cloud Analytics 204

Dynatrace

FEBRUARY 9, 2022

To accomplish this, organizations have widely adopted DevOps , which encompasses significant changes to team culture, operations, and the tools used throughout the continuous development lifecycle. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

Code 209

Code Software Software DevOps 209

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. In the next blog post, we’ll discuss the integration of security modules into the DevOps process with the aim of achieving DevSecOps.

DevOps 196

DevOps Metrics Engineering Analytics 196

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. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. Combining causal AI with GPTs will empower teams to automate analytics that explore the impact of their code, applications, and the underlying infrastructure while retaining full context.

Innovation 252

Innovation Software Software Artificial Intelligence 252

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). He goes on to review the following newly launched capabilities from Dynatrace: Infrastructure & Operations app.

Engineering 175

Engineering Development Infrastructure Cloud 175

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. However, digital transformation requires significant investment in technology infrastructure and processes. Digital tools and technologies provide a more efficient way of doing things.

Strategy 169

Strategy Retail DevOps Education 169

Dynatrace

NOVEMBER 10, 2022

This architectural method encompasses software containers, service meshes, microservices , immutable infrastructure, and declarative APIs to create an environment that is inherently scalable, extendable, and easy to manage through automation. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Dynatrace provides analytics and automation for unified observability and security.

Government 196

Government Infrastructure Programming Cloud 196

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. What is Lambda?

Lambda 218

Lambda AWS Serverless Latency 218