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 211

Analytics Storage Retail Monitoring 211

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 197

Analytics Metrics DevOps Storage 197

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. How critical is the vulnerability?

DevOps 217

DevOps Traffic Efficiency Servers 217

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 178

Analytics Storage Retail Monitoring 178

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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 237

Engineering Development DevOps Infrastructure 237

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 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

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. Security integration.

DevOps 209

DevOps Metrics Virtualization Strategy 209

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 184

Software Software Analytics Big Data 184

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

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 270

Engineering DevOps Best Practices Infrastructure 270

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. Some of these challenges involve basic tasks—such as data collection. Dynatrace Grail enables organizations to ingest data without predefining schema.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 272

Efficiency Performance Analytics DevOps 272

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 179

Infrastructure Availability Systems Retail 179

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and log analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

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 provides several ways to ingest data from external data sources. Dynatrace news. Mobile Crashes. Availability.

DevOps 201

DevOps Social Media Mobile Metrics 201

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Duration: 163.41

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

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. Security integration.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

APRIL 6, 2022

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Why full-stack observability matters.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. Dynatrace news.

Database 239

Database DevOps Analytics Servers 239

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 183

Cloud DevOps Open Source Retail 183

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Most infrastructure and applications generate logs. Comparing log monitoring, log analytics, and log management.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. ITOps teams are responsible for establishing, maintaining, and growing a reliable, high-performing, and secure IT infrastructure.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

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. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. DevOps/DevSecOps with AWS. Learn more here.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 223

Storage Government Network Infrastructure 223

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 213

DevOps Big Data Cloud Innovation 213

Dynatrace

AUGUST 10, 2021

is Dynatrace’s regional roadshow that gives APAC’s leading CIOs, CDOs, Cloud Architects, IT Operations, DevOps, SRE, and AIOps professionals access to live keynotes and breakout learning sessions with local technical experts to accelerate their digital transformation. We’ve all heard it: data is one of your biggest assets.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. What is DevSecOps?

DevOps 182

DevOps Analytics Best Practices Java 182

Dynatrace

FEBRUARY 15, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations and automated workflows. Further, according to a Gartner® report, by 2025, 95% of decisions that currently use data will be at least partially automated.*

Code 208

Code DevOps Cloud Analytics 208

Dynatrace

FEBRUARY 28, 2024

Foremost among these is the complexity associated with data gathering and analysis. 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.

DevOps 200

DevOps Metrics Engineering Analytics 200

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. Bad actors can use misconfigurations to gain access to sensitive data.

Open Source 189

Open Source Storage Analytics Innovation 189

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). Organizations get end-to-end observability from code to production with the right data in context.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 256

Innovation Software Software Artificial Intelligence 256

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. Enter causal AI.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206