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Building a Slackbot to Answer Analytics Questions From Your Database

By Jason Skowronski in heroku

May 15, 2019

Any business, whatever size or industry, runs on information. A persistent challenge for the DevOps team is finding faster, easier, and better ways of getting information into the hands of business users when and where they need it. This used to require using a business intelligence (BI) solution or running custom queries against the database. What if it were as simple as asking a chatbot? No need to worry about reports or queries.

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A Brief Guide to Database Monitoring

By Sadequl Hussain in appoptics

May 13, 2019

In general, databases are an integral part of any information system. They are used for storing, querying, and updating critical business data. Naturally, the availability, performance, and security of a database system are of primary concerns for any database administrator. To facilitate this, system administrators typically make use of various database monitoring tools. In this post, we will introduce you to the principles of building an effective database monitoring strategy. We will talk about what type of metrics you should collect, how you can collect those metrics, and a few best practices.

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Debugging Concurrent Code Using Logs

By Henry Rivera in papertrail

May 7, 2019

Logging is one of the first tools in a developer’s kit for fixing timing and deadlock issues. When you debug concurrent code, the debugger may appear to jump around as different parts of the code are executed. This is true for both multithreaded and asynchronous code. A log file allows you to quickly see the behavior of your application without slowly stepping through tasks in different parts of the code base.

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Debugging Concurrent Code Using Logs

By Henry Rivera in papertrail

May 7, 2019

Logging is one of the first tools in a developer’s kit for fixing timing and deadlock issues. When you debug concurrent code, the debugger may appear to jump around as different parts of the code are executed. This is true for both multithreaded and asynchronous code. A log file allows you to quickly see the behavior of your application without slowly stepping through tasks in different parts of the code base.

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An In-Depth Guide to Kubernetes Monitoring

By Andre Newman in appoptics

May 3, 2019

In our container monitoring guide, we explained how monitoring Docker will keep your containerized applications running smoothly. While container monitoring is important, most enterprises aren’t managing individual containers on a single host. Instead, they’re deploying hundreds, if not thousands of containers across multiple nodes, clusters, and regions. It is nearly impossible to manage these massive workloads on a per-container basis; however, orchestration tools such as Kubernetes can help. Using Kubernetes, DevOps teams can deploy applications in an automated and resilient way.

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Getting to Know Python 3.7: Data Classes, async/await and More!

By Zeashan Pappa in heroku

April 29, 2019

If you’re like me, or like many other Python developers, you’ve probably lived (and maybe migrated) through a few version releases. Python 3.7(.3), one of the latest releases, includes some impressive new language features that help to keep Python one of the easiest, and most powerful languages out there. If you’re already using a Python 3.x version, you should consider upgrading to Python 3.7. Read on to learn more about some of the exciting features and improvements.

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Troubleshooting Errors and Performance Issues in Laravel

By Daljeet Singh in papertrail

April 26, 2019

In a perfect world, there wouldn’t be any errors or bugs in production applications. However, we don’t live in a perfect world, and from experience, you know there is no such thing as a bug-free application. If you are using the Laravel framework, you can leverage its log tracking and error logging to catch bugs early and enhance the performance of your Laravel-based application. Laravel comes pre-packaged with tools to help you track and monitor events.

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The Easiest Way to Run Microservices: Comparing AWS and Heroku

By Jason Skowronski in heroku

April 25, 2019

One of the most popular platforms to run any kind of online service is AWS. While it’s a standard choice for many companies, how does it compare against other options? While others have written high-level comparisons of AWS and Heroku, let’s look at a real-world example of how much effort it takes to get a microservice running on both. Let’s look at the exact steps required to install the same app on both platforms, so we can see which is the easiest.

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Splunk Cloud vs. Loggly: 2019 Speed Test

By Jason Skowronski in loggly

April 24, 2019

The core ability to search through logs quickly and intuitively is the most important feature a log management system brings to the table. Being able to quickly and efficiently search through logs generated by an infrastructure stack allows DevOps professionals to rapidly find and address problems, as well as confirm deployments and configuration changes. Because raw speed has such a direct impact on the usefulness of these products, we will compare to see which performs the best.

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Splunk Cloud vs. Loggly: 2019 Speed Test

By Jason Skowronski in loggly

April 24, 2019

The core ability to search through logs quickly and intuitively is the most important feature a log management system brings to the table. Being able to quickly and efficiently search through logs generated by an infrastructure stack allows DevOps professionals to rapidly find and address problems, as well as confirm deployments and configuration changes. Because raw speed has such a direct impact on the usefulness of these products, we will compare to see which performs the best.

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