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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. Introducing sufficient jitter to the flush process can further reduce contention. The challenge lies in determining the appropriate number of buckets.
This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.
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.
Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.
This process involves: Identifying Stakeholders: Determine who is impacted by the issue and whose input is crucial for a successful resolution. This situation presents both challenges and opportunities; while it may be more difficult to make initial progress, there are plenty of easy wins to capitalize on.
In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis. For example, we presented how a multinational travel agency uses MDA to diagnose error rates per loyalty status to make sure that their premium customers have a perfect software experience. Dynatrace news. What’s next.
In business-critical situations, the amount of information that’s processed by Davis goes way beyond what a human operator could ever hope to process manually. Davis has the unique ability to precisely identify code-level findings, such as resource consumption during the span of an individual transaction.
Dynatrace does this by automatically creating a dependency map of your IT ecosystem, pinpointing the technologies in your stack and how they interact with each other, including servers, processes, application services, and web applications across data centers and multicloud environments. asc | fields `Host`, `Recently Restarted?
Fully automatic deep code monitoring module injection. One of the unique strengths of Dynatrace OneAgent is the fully automated injection of the deep code monitoring module on Windows and Linux. Fully automated deep code monitoring module injection is available for all customers as of OneAgent version 1.175. This is why AIX 6.1
Cybersecurity is an ever-present concern for organizations across all industries. Set Goals for Developers Writing code can be a time-consuming process. Threat actors continually seek ways to infiltrate businesses and sell stolen data to the highest bidder.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. They may stem from software bugs, cyberattacks, surges in demand, issues with backup processes, network problems, or human errors. Outages can disrupt services, cause financial losses, and damage brand reputations.
One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." This is one way to build trust with our internal user base.
Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. It all starts with the code. Dynatrace has established a secure SDL, which automatically enforces that all developed code is reviewed by a peer.
Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.
Each of these factors can present unique challenges individually or in combination. But gaining observability of distributed environments, such as Kubernetes, microservices, and containerized application deployments, presents formidable challenges.
A natural solution is to make flows configurable using configuration files, so variants can be defined without changing the code. Unlike parameters, configs can be used more widely in your flow code, particularly, they can be used in step or flow level decorators as well as to set defaults for parameters.
The vulnerability, identified as CVE-2024-6632, allows the abuse of a form submission during the setup process to make unauthorized modifications of the database. So far, the vulnerability only appears to be exploitable by an authenticated user during the setup process. How could an attacker exploit the new SQL injection vulnerability?
To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. This is especially true when the goal is to present information to non-technical users, but all technical teams can benefit from aligning raw metrics with higher-level KPIs and SLOs. Presentation matters.
Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Challenge: Monitoring processes for anomalous behavior.
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. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.
To ensure consistent progress in app development, it’s crucial to stay updated and integrate these innovations into your development process. 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.
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.
Building on the success of DevOps practices, GitOps is a relatively new way to manage infrastructure through code and automation, around a single Git repository (or a storage system for all the changes and files that relate to a given project). Development teams use GitOps to specify their infrastructure requirements in code.
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.
Web application security is the process of protecting web applications against various types of threats that are designed to exploit vulnerabilities in an application’s code. Before one can design an optimal security approach, it helps to understand what kinds of vulnerabilities are commonly present in web applications.
Developers want to write high-quality code and deploy it quickly. Developers also need to automate the release process to speed up deployment and reliability. This created a classic “snowflake effect” because of the risk of code duplication: if something breaks, you need to fix it in multiple places.
Observability data presents executives with new opportunities to achieve this, by creating incremental value for cloud modernization , improved business analytics , and enhanced customer experience. With the latest advances from Dynatrace, this process is instantaneous.
When a question gets asked, run its text through this same embedding model, determine which chunks are nearest neighbors , then present these chunks as a ranked list to the LLM to generate a response. While the overall process may be more complicated in practice, this is the gist. What is GraphRAG? Do LLMs Really Adapt to Domains?
If you want to know more about keptn, I encourage you to check out www.keptn.sh , “What is keptn and how to get started” (blog), “Getting started with keptn” (YouTube) or my slides on Shipping Code like a keptn. In my case, both prometheus.knative-monitoring pods jumped in Process CPU and I/O request bytes.
OpenPipeline allows you to create custom endpoints for data ingestion and process the events in the pipeline (for example, adding custom pipe-dependent fields to simplify data analysis in a later phase). Go to the Pre-processing tab and add a new processor with the type Add Fields. Write this down for later usage.
While other methods typically rely on mere correlation and historical data analysis, weve further enhanced our capabilities by implementing causational analysis, which leverages contextual information automatically gathered during data ingestion and processing in addition to historical data analysis.
Traditional deployment techniques that roll out updates or patches directly into full production can present significant risks and lead to potential downtime. This integration reduces the risk of deploying faulty code to production.
In fact, one of the most challenging areas is the use of thick client presentation layers, such as SAP’s Graphical User Interface (SAPGUI). . SAP provides SAP GUI , known as one of the presentation layers to access ECC and S/4HANA applications. What happens to user performance during close cycles? .
Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. Dynatrace ownership functionality supports configuration-as-code via its proprietary Monaco (Monitoring as code) CLI or Terraform. An example via Monaco can be found in this public GitHub repository.
Container security is the practice of applying security tools, processes, and policies to protect container-based workloads. If containers are run with privileged flags, or if they receive details about host processes, they can easily become points of compromise for corporate networks. Source code tests. Image scanners.
The growing popularity of open source software presents new risks associated with vulnerable libraries. In response, organizations have adopted additional security tools, such as software composition analysis, that scan code libraries for vulnerabilities. Dynatrace news. Both approaches resulted in lost time and resources.
The risk of impact from an existing known vulnerability also depends on whether certain processes are using the vulnerable parts of a software component. This information specifies which function in the source code relates to a vulnerability. Process group 1 doesn’t use the function that contains the vulnerability.
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. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules.
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?
When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. There are a number of utilities and conventions on how to use this message when it is present in an RPC request. FieldMask is a protobuf message. Our protobuf message definition (.proto
At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Configuration as code is easy to use, update, and understand.
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. Shift-left using an SRE approach means that reliability is baked into each process, app and code change.
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.
We’ll further learn how Omnilogy developed a custom Pipeline Observability Solution on top of Dynatrace and gain insights into their thought process throughout the journey. This lack of comprehensive visibility into the performance of CI/CD pipelines poses a significant challenge, as they’re vital to the software delivery process.
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