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It also makes the process risky as production servers might be more exposed, leading to the need for real-time production data. This typically requires production server access, which, in most organizations, is difficult to arrange. With a single click, developers can access the necessary and relevant data without adding new code.
In a MySQL master-slave high availability (HA) setup, it is important to continuously monitor the health of the master and slave servers so you can detect potential issues and take corrective actions. MySQL Master Server Health Checks. Important Health Checks for your MySQL Master-Slave Servers Click To Tweet.
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.
MySQL does not limit the number of slaves that you can connect to the master server in a replication topology. A classic solution for this problem is to deploy a binlog server – an intermediate proxy server that sits between the master and its slaves. Ripple is an open source binlog server developed by Pavel Ivanov.
Both categories share common requirements, such as high throughput and high availability. Eventually Consistent Global Counter While some users may accept the limitations of a Best-Effort counter, others opt for precise counts, durability and global availability. This is where most of the complexity in Counter Abstraction comes in.
What Is Continuous Code Quality? The static code analysis can be used to expose the areas of code that can be improved in terms of quality, and even higher, we can integrate this static analysis into the development workflow, and thus, tackle the code quality issues in the early stages of the development even before they reach the production.
The end goal, of course, is to optimize the availability of organizations’ software. But moreover, business is the top priority; it never made sense to me to just monitor servers. And when outages do occur, Dynatrace AI-powered, automatic root-cause analysis can also help them to remediate issues as quickly as possible.
Breaking down the benefits of OpenTelemetry histograms OpenTelemetry instrumentation automatically generates histograms for HTTP client and server request durations. This feature, available by default for OTel-instrumented services, allows users a standard way to measure and compare response times across different services consistently.
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.
This link allows us to open Live Debugger and dive into the code level of the AdService (example service) without requiring code changes or application redeployments. We use the automatically populated filter for AdService and its corresponding source code repository, then select Done to go to Live Debugger.
focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. available, and more are in the pipeline.
Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. Host-performance measures.
Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Many observability solutions don’t support an “as code” approach. Dynatrace enables software intelligence as code. Observability is required for effective collaboration and automation.
Wondering which high availability framework to use for your PostgreSQL deployments ? We compared the top 3 frameworks, PostgreSQL Automatic Failover (PAF) vs. Replication Manager (repmgr) vs. Patroni , in our Managing High Availability in PostgreSQL series. PostgreSQL High Availability Framework Infographic.
On the other hand, deploying new code on the backend is complex and offers no such transparency. With Dynatrace Live Debugger, you can set a non-breaking breakpoint and instantly see if new code is following the intended new paths, if any new arguments are being considered, and if input and output arguments are aligned with expectations.
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.
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. To achieve the best visual outcome, we recommend experimenting with the available customization options. Try different cell shapes.
It prevents your application from fully leveraging the available CPU. Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. This resource is not available to your application. .
Facilitating remote access to other computers or servers with easier navigation. Learning Resources: Are there tutorials, guides, and comprehensive documentation available for the tool? Cross-Platform Compatibility: Is the tool available on multiple operating systems (Windows, macOS, Linux)?
IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of the monitoring infrastructure.
In this post, well walk through some of the best MySQL GUI tools available in 2025covering both free and commercial optionsso you can find the one that fits your workflow. If youre working with MySQL on a web server and want a browser-based tool, this ones hard to beat. What Makes a Good MySQL GUI?
It provides a good read on the availability and latency ranges under different production conditions. These include options where replay traffic generation is orchestrated on the device, on the server, and via a dedicated service. Also, since this logic resides on the server side, we can iterate on any required changes faster.
To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it.
Besides being the most popular web server back end, PHP is also commonly used for developing microservices, shell applications, high-scale back ends, and for scheduling automated tasks. Dynatrace has long provided automatic code-level performance monitoring for PHP applications with OneAgent. to PHP 7.3.
An access log is generated by the web server to log the details about the request that it has processed. It logs status code, response time, URL, protocol, size, client IP address, etc., Most people are aware of the application server log but many of them are not aware of the web server/load balancer access log.
The Qualys Threat Research Unit (TRU) has discovered a Remote Unauthenticated Code Execution (RCE) vulnerability in OpenSSH server (sshd) in glibc-based Linux systems. Using the VPC flow log default pattern available in DPL Architect, we can extract the meaningful fields to see only the network traffic targeting the SSH port.
It offers all the functionality we need to deploy our application in production, with a hybrid system with static pages and server-side rendered (SSR) pages. Isomorphic: Works on both server and client (browser). Static export: Compile static files to be able to upload to the server. SSR Benefits (Next.js). Performance.
When deploying in production, it’s highly recommended to setup in a MongoDB replica set configuration so your data is geographically distributed for high availability. Here’s the relevant part of test code we will use to test our MongoDB failover behavior: import logging import traceback. import pymongo. Defaults to False.
As you may agree, it is important to test your code. The resilience patterns implemented in your application are code (even if they're just a bunch of annotations). The library is available on Maven Central and Github for everyone. Often I saw that this is not tested thoroughly or not at all.
Managing Auto-Instrumentation in Pods The Operator automatically injects and configures auto-instrumentation for your applications, which enables you to collect telemetry data without modifying your source code. There are two versions available: v1alpha1 : apiVersion: opentelemetry.io/v1alpha1 spec.containers[*].name}'
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.
When deploying MongoDB in production, it is strongly recommended that you use an SSL-enabled geo-distributed replica-set configuration for maximum security and availability. One option is purchasing your own CA-signed SSL certificates and configuring them on the MongoDB server. Else the code samples will not work.
Microsoft recently released the first public preview of SQL Server 2022. This clause allows you to shorten your code by avoiding the repetition of identical parts of your window specifications. This clause is now available in Azure SQL Database and SQL Server 2022, provided you use database compatibility level 160 or higher.
TTFB is a good measure of your server response times and general back-end health, and issues here may have knock-on effects later down the line (namely with Largest Contentful Paint). More accurately, DOMContentLoaded signifies that all blocking and defer and type=module code has finished running. log ( window. performance. Who knows?!
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.
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. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace.
You only need to write platform-specific code where it’s necessary, for example, to implement a native UI or when working with platform-specific APIs. Almost 50% of the production code in our Android and iOS apps is decoupled from the underlying platform. Debugging Kotlin source code from Xcode.
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.
Applications and services are often slowed down by under-performing DNS communications or misconfigured DNS servers, which can result in frustrated customers uninstalling your application. Identify under-performing DNS servers. Slower response times can be a sign of a stressed DNS server or network communication issues.
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.
Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. This includes spot instances such as unused cloud capacity that’s available at a discounted price. An organization can ask Dynatrace, “Have you seen any oversized servers over X amount of time?”
Tracked as CVE-2023-34051 (CVSS score: 8.1), the Aria Operations for Logs vulnerability relates to a case of authentication bypass that could lead to remote code execution. They have made a PoC for the vulnerability available and published the relevant indicators of compromise (IoC). Spoof the IP address of the known worker.
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.
Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Easily track the health and performance of database servers with AI support. MS SQL Services (via WMI).
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