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Increase customer retention & stop leaving money in the shopping cart

We all know the pain and frustration associated with broken software. It's no secret that the internet is rife with broken links, slow pages, and broken shopping carts, often feeling like it's being held together with glue and duct tape. These issues aren't just causing frustration for customers; it costs businesses millions. According to the Consortium for Information and Software Quality, poor software quality cost US companies $2.08 trillion in 2020. Every interaction between a customer and your technology is an opportunity to build or destroy trust. People tend to have a poor memory when things go right, but oh boy, do they remember when something broke.

Announcing HAProxy 2.7 and HAProxy Enterprise 2.7r1

HAProxy 2.7 is now available! Register for the webinar HAProxy 2.7 Feature Roundup to learn more about this release and participate in a live Q&A with our experts. Once again, the latest HAProxy update features improvements across the board, upgrading old features and introducing some new ones. New elements in this release include: What a list!

FluentD vs Logstash - Choosing a Log collector for Log Analytics

When we have large-scale, distributed systems, Logging becomes essential for observability, monitoring, and security. No matter what architecture (Monolith/Microservices) our systems have, they are complex due to the number of moving parts they have and the challenges they face around management, deployment, and scaling. In this scenario, Log management tools rescue the DevOps and SRE teams in order to help them monitor and improve performance, debug errors, and visualize events.

A Simplified Guide to OpenTelemetry

Digital services are increasingly built as a collection of components working in concert to deliver significant business functions. Understanding how these components of a system are working is crucial to reliably delivering a service. With many systems interacting, it can be difficult, if not impossible, to understand the state of your services and their dependencies without detailed data about how they function.

A day in the life of a Customer Support Detective

I open my laptop and look over my cases while I slurp down my first cup of coffee. Most of my backlog is waiting on customer updates, or bug fixes. Two of my cases have been marked for closure. Not a bad start for a Monday! A pod CrashLoopBackoff issue was resolved by bumping up memory requests, and the missing metrics issue was solved after applying some Prometheus annotations to the customer’s nginx pods. I notate and close both cases. No sooner do I hear the beep of the badge scanner.

Top 6 Emerging Cybersecurity Challenges For 2023

Protecting sensitive data from malicious code and dangerous third parties is a critical task rather than something that should be taken for granted. With that in mind, it's an important - yet often overlooked - aspect of security that users stay informed about what's happening in this niche. After all, data security threats evolve at a staggering pace, and 2023's future cyber-attacks are bound to be as inventive as they've ever been.

Introducing CQL reports

Reporting is essential when managing a microservice architecture. Without some kind of reporting tool, it’s significantly more difficult to gain insight into how services and resources are functioning. Software teams need this insight in order to make meaningful progress — without reporting, it’s hard to even know where progress needs to be made. With the introduction of CQL reports, Cortex gives you more visibility than ever before.

How to Setup InfluxDB, Telegraf and Grafana on Docker: Part 2

This tutorial describes how to install the Telegraf plugin as a data-collection interface with InfluxDB 1.7 and Docker. In Part 1 of this tutorial series, we covered the steps to install InfluxDB 1.7 on Docker for Linux instances. We describe in Part 2 how to install the Telegraf plugin as a data-collection interface with InfluxDB 1.7 and Docker.

Resource Guide for InfluxDB and AWS

InfluxDB Cloud runs natively on AWS. This is great for users that already rely on AWS because it keeps everything (or at least most things, hopefully!) in one place. This can also reduce data latency, if the region you use is geographically close to your data sources. Plus, it’s super easy to get started using InfluxDB on AWS. One of the great things about AWS is that it has a ton of different services and features that allow you to do more with your data.