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Jun 25, 2019 | By Evan Klein
It all started with monolith architecture; business logic, user interfaces, and data layers were stored in one big program. As tightly coupled applications, a simple update to the program meant recompiling the entire application and redistributing the program to all users. That led to the difficulty of maintaining consistent program versions and distribution across all clients in order to ensure stability and alignment. This made the monolith approach inefficient and cumbersome.
Jun 24, 2019 | By Daniel Berman
The ELK Stack is the world’s most popular open source log analytics and log management platform. Together, the four main components of the stack — Elasticsearch, Logstash, Kibana and Beats, provide users with a powerful tool for aggregating, storing and analyzing log data. In production environments, the ELK Stack requires an infrastructure flexible and powerful enough to power it.
Jun 20, 2019 | By Daniel Berman
Responsible for collecting various system and service metrics and forwarding them downstream to a backend storage system, the role metric collectors play in monitoring pipelines is crucial. Despite this fact, they often get left in the shadows cast by the beautiful frontend analysis tools like Kibana or Grafana. In the world of open source monitoring stacks, Metricbeat and Telegraf stand out as the most popular metric collectors. The truth is that they do much more than simply collect metrics.
Jun 19, 2019 | By Evan Klein
One of the oldest (but often neglected) security vulnerabilities is SQL injection. One common scenario goes like this: An unsuspecting programmer writes an application that accepts input from the user which serves as a parameter to retrieve or store data from a database (e.g., a web login form). The programmer writes a dynamically populated SQL query inside the app, based on user input like username and password (see Image 1 for reference).
Jun 18, 2019 | By Daniel Berman
Monitoring an Azure environment can be a challenging task for even the most experienced and skilled team. Applications deployed on Azure are built on top of an architecture that is distributed and extremely dynamic. But all is not doom and gloom. Azure users have a variety of tools they can use to overcome the different challenges involved in monitoring their stack, helping them gain insight into the different components of their apps and troubleshoot issues when they occur.
May 16, 2019 | By logz.io
Adoption of cloud services and Azure services in particular has exploded in the last few years – over 60% of enterprises now use Azure. As Azure users deploy ever more sophisticated application architectures, it becomes even more important to have a logging and monitoring system that can handle the complexity. The ELK stack is the most popular tool for this, but comes with its own challenges.
Dec 12, 2018 | By logz.io
Learn methods for implementing Timeless Accounts with Data Optimizers and learn how these powerful features can increase the duration of critical metric retention while bending the cost curve to save money.
Nov 15, 2018 | By logz.io
Logz.io is an intelligent log analytics platform that combines the popular ELK stack as a cloud service and sophisticated machine learning. Logz.io derives insights from machine data, user behavior and community knowledge in a scalable, production-ready platform that enables organizations to resolve issues faster and take operations to the next level.