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What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. This ownership starts with understanding how their code behaves in all environments, resolving issues, and writing and optimizing code in a high-quality, secure, and timely manner.
The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.
Broken Apache Struts 2: Technical Deep Dive into CVE-2024-53677The vulnerability allows attackers to manipulate file upload parameters, possibly leading to remote code execution. This allows attackers to manipulate file upload parameters, leading to unauthorized file placement and potentially remote code execution (RCE).
You can use it to visualize CPU utilization across your hosts, disk space used, server-side response time, web request/service failure rates, or any other area where you need to spot outliers immediately. Use color coding to tell a story. Have a look at them on our Dynatrace Playground. Try different cell shapes.
Time To First Byte: Beyond Server Response Time Time To First Byte: Beyond Server Response Time Matt Zeunert 2025-02-12T17:00:00+00:00 2025-02-13T01:34:15+00:00 This article is sponsored by DebugBear Loading your website HTML quickly has a big impact on visitor experience. TCP: Establishing a reliable connection to the server.
It allows users to choose between different counting modes, such as Best-Effort or Eventually Consistent , while considering the documented trade-offs of each option. Reducing Code Complexity : We reduce a lot of code complexity in Counter Abstraction by delegating a major portion of the functionality to an existing service.
We’re no longer living in an age where large companies require only physical servers, with similar and rarely changing configurations, that could be manually maintained in a single Datacenter. And, applying the “Everything as Code” principles can greatly help achieve that. Benefits of Everything as Code. Dynatrace news.
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 vulnerability, published as CVE-2024-53677 on December 11, 2024, affects the file upload mechanism, allowing for path traversal and potential remote code execution. This critical flaw allows for a path traversal attack, enabling attackers to upload malicious files and potentially execute arbitrary code on the server.
To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Dynatrace VMware and virtualization documentation . Dynatrace Kubernetes documentation . Dynatrace OneAgent documentation .
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.
Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Let’s get started. Serverless architecture: A primer. Application integration.
With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. Automatic contextualization of log data works out-of-the-box for popular languages like Java,NET, Node.js, Go, and PHP, as well as for NGiNX and Apache Web servers.
There are two different approaches to GraphQL development; schema-first and code-first development. The code in your service only implements this schema. With code-first development , you don’t have a schema file. Instead, the schema gets generated at runtime based on definitions in code.
Facilitating remote access to other computers or servers with easier navigation. Learning Resources: Are there tutorials, guides, and comprehensive documentation available for the tool? A dashboard for monitoring activities such as database locks, connected sessions, and prepared transactions for multiple servers.
The following figure depicts imaginary “evolution” of the major NoSQL system families, namely, Key-Value stores, BigTable-style databases, Document databases, Full Text Search Engines, and Graph databases: NoSQL Data Models. Document databases advance the BigTable model offering two significant improvements. 2) Aggregates.
Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Multiple Prometheus servers might be required, creating significant maintenance efforts. documentation. Prometheus Data Source documentation.
In this post, we show you how to connect to an SSL-enabled MongoDB replica set configured with self-signed certificates using PyMongo, and how to test MongoDB failover behavior in your code. Like the driver documentation says, this is not recommended as it makes the connection susceptible to man-in-the-middle attacks. import pymongo.
Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Dynatrace OneAgent® is perfectly capable of automatically injecting and tracing code-level information for many technologies, such as Java,NET, Golang, and NodeJS.
While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post. We recently extended the pre-shipped code-level API definitions to group logical parts of our code so they’re consistently highlighted in all code-level views.
As of today, the SAP ABAP application server remains the central component of the SAP ERP solution. The ABAP platform monitoring solution is based on the remote monitoring approach and so relies on a Dynatrace ActiveGate extension: No agent installation on SAP servers is required. No ABAP code instrumentation or injection is performed.
Reason : High memory consumption of XPath queries when parsing application documents. Here’s the proof that the update, which was first rolled out on 4 nodes and then to all 6, resulted in a 98% reduction of CPU usage: Updating the 3rd party library to use more efficient internal parsing of documents resulted in 98% of CPU usage reduction.
Dynatrace provides tooling and documentation to help you migrate your Extensions 1.0 focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. supports SNMP, WMI, Prometheus, and SQL data sources, and now also JMX; no code is required to leverage these extensions.
It’s also critical to have a strategy in place to address these outages, including both documented remediation processes and an observability platform to help you proactively identify and resolve issues to minimize customer and business impact. Software bugs Software bugs and bad code releases are common culprits behind tech outages.
As of today, the SAP ABAP application server remains the central component of the SAP ERP solution. The ABAP platform monitoring solution is based on the remote monitoring approach and so relies on a Dynatrace ActiveGate extension: No agent installation on SAP servers is required. No ABAP code instrumentation or injection is performed.
Take a simple client-server use case. There would be some documentation around what the service looks like and basic configuration around that. But most of the time, there are some minor details every developer takes for granted, and the client-side and the server-side developer never discuss, and just a ssume.
TLDR eBPF is a mechanism that makes the kernel dynamically programmable without modifying the source code. eBPF has been running in production for over half a decade at an internet scale on millions of servers. You'll see the term BPF in Linux source code, and you'll see BPF and eBPF used interchangeably in tooling and documentation.
The challenges with service management included: Stale documentation OS Updates High cognitive overhead A lack of continuous testing Scaling Image Creation Our existing AMI baking tool Aminator does not support Windows so we had to leverage other tools. We now have the software and instance configuration as code.
Recently I covered some of the T-SQL improvements in SQL Server 2022 here , and Aaron Bertrand covered additional improvements here. Microsoft just announced the release of SQL Server 2022 CTP 2.1. For example, suppose that prior to SQL Server 2022 you had the following query: SELECT. You can download this sample database here.
Why choose Percona Server for MongoDB? Percona provides a drop-in replacement solution for MongoDB Community Edition that is based on the same upstream code delivered by MongoDB, Inc. Why release Percona Server for MongoDB 7 now? delivering the Upstream code do a great job and build a very solid tool.
Since December 10, days after a critical vulnerability known as Log4Shell was discovered in servers supporting the game Minecraft, millions of exploit attempts have been made of the Log4j 2 Java library, according to one team tracking the impact, with potential threat to millions more applications and devices across the globe. Dynatrace news.
Rethinking Server-Timing As A Critical Monitoring Tool. Rethinking Server-Timing As A Critical Monitoring Tool. In the world of HTTP Headers, there is one header that I believe deserves more air-time and that is the Server-Timing header. Setting Server-Timing. Sean Roberts. 2022-05-16T10:00:00+00:00.
By batching and parallelizing the requests to retrieve many creatives via a single query to the GraphQL server, we can optimize the index building process. Once all documents have been indexed with no errors, we swap the alias from the currently active index to the newly built index. The graph has two requirements. Search Indexer.
Even SQL Server stores some flag-based data using bitwise representation. Setting the server configuration option “ user options” using bitwise representation. Prior to SQL Server 2022, T-SQL had minimal support for bit manipulation. For the full technical details, I provided links to the official documentation.
Improving JavaScript Bundle Performance With Code-Splitting. Improving JavaScript Bundle Performance With Code-Splitting. It’s a common misconception that the code which is produced by the framework build tools (Webpack, for example) is fully optimized and cannot be improved upon any further. The answer lies in code-splitting.
Should have an excellent way to measure server and query performance. It’s further enhanced by an in-place code editor which is also available in all three views. Query Code for converting queries to five target language: Java, Python, C#, PHP, and JavaScript (Node.js). Should facilitate data transfer between RDBMS and MongoDB.
At Dynatrace Perform 2022 , David Walker, a Lockheed Martin Fellow, and William Swofford, a full-stack engineer at Lockheed Martin, discuss how to create a self-diagnosing and self-healing IT server environment using this AIOps combination for auto-baselining, auto-remediation, monitoring as code, and more.
This means Dynatrace isn’t collecting the metrics on the Prometheus server, but directly at the source of truth – the exporters. Additionally, you don’t have to worry about scaling the Prometheus infrastructure because doesn’t even have to be collected by the Prometheus server. Dashboarding as code. Alerting as code.
User actions processed per minute shows you the trend of user actions that are successfully processed, correlated with server-side?PurePath The Code Modules metric show the deployment status of the? The Code Modules metric show the deployment status of the?OneAgent OneAgent code modules. Self-monitoring documentation.
With Lambda, you are charged based on the number of requests for your functions and their duration (the time it takes for your code to execute) with millisecond granularity. This gives operations teams specific answers to help prioritize and the root cause with end-to-end visibility down to the code level to resolve the problem.
AWS Fargate is the exception to this rule: with the AWS serverless compute engine, paired with Dynatrace intelligent observability for Kubernetes, customers can forgo the complex burden of managing and monitoring their own server infrastructure. Choosing the best approach depends on the context of your team. and Golang containers.
We can determine A/B test membership in either device application or backend code and selectively invoke new code paths and services. Cut-over and clean-up: Once the data is verified for correctness and completeness, dual writes and reads are disabled, any client code is cleaned up, and read/writes only occur to the new data store.
To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Dynatrace is the only monitoring solution that provides observability (with no code changes) into every layer of your Kubernetes deployment , including your cloud infrastructure provider. .
A typical design pattern is the use of a semantic search over a domain-specific knowledge base, like internal documentation, to provide the required context in the prompt. OneAgent automatic injection of monitoring and tracing code works not only for the NodeJS language binding but also when using the raw HTTPS request in NodeJS.
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