Introducing Epsagon's Traces Based Alerts and Metrics

July 03, 2020 We’re excited to announce a major enhancement to our platform: traces based alerts and metrics that better reveal the user experience and business performance. A trace tells the story of a transaction as it moves through multiple components of the system. A trace can show you the transaction components, and metrics tell you how the components are performing.


How to secure your remote workforce

Since the outbreak of Covid-19, many organisations have had to make a swift transition to remote working to ensure business continuity. What would typically take months of planning and preparation was implemented in a matter of days. The chaos that this created, combined with the already uncertain nature of life during a pandemic, had created the ideal environment for cybercriminals.


Role of Identity and Access Management in Cybersecurity

In IT security debates, projects aimed at managing access and identifying users are considered fundamental. However, the processes and technologies for controlling permissions have proved challenging. To solve this dilemma, what is now called Identity Access Management (IAM) was created, which involves the definition and execution of identification processes related to the most critical businesses for a company.


Announcing Status Pages

Communication is one of the hardest things to do well while responding to incidents. At FireHydrant, we’ve focused on helping people communicate well within their teams when responding to incidents, and also after the fact during post-incident reviews. But what about communicating with your customers? During an incident, your customers want to know that you’re aware of the problem and are working to mitigate or resolve it.


Permissions, access rights, and privileges: Active Directory and Azure Active Directory

Permissions, access controls, user rights, or privileges define what an identity can see or do in an organization. These terms are often used interchangeably based on context, and essentially perform the same function—granting or denying access to the resources in an enterprise.


Monitor Hazelcast with Datadog

Hazelcast is a distributed, in-memory computing platform for processing large data sets with extremely low latency. Its in-memory data grid (IMDG) sits entirely in random access memory, which provides significantly faster access to data than disk-based databases. And with high availability and scalability, Hazelcast IMDG is ideal for use cases like fraud detection, payment processing, and IoT applications.


Improving Application Quality through Log Analysis

Throughout the history of software development, one statement has remained true: no application is perfect. Due to that fact, development organizations must work with all resources at their disposal to limit the impact that application problems have on the end-user. Server log files represent an important resource that should be referred to during the process for troubleshooting any application issue.


Building New Teams While Working Remotely

2020 has been a year of challenges, and across all industries, companies are working hard and fast to remain efficient in the face of a new normal. Now that hiring freezes are slowly thawing out, many companies are starting to hire new people virtually and want to create remote cohesion between new and existing teammates. The lack of physical proximity means your team will need to ramp up on communication, transparency, and accountability.


The Most Popular Python Web Frameworks in 2020

Web frameworks are powerful tools. They abstract the common aspects of building web sites and APIs and allow us to build richer, more stable applications with less effort. A broad range of web frameworks is available to us in Python. Some are proven favorites with large ecosystems and communities. Others excel in niche use cases or for specific kinds of development. Still, others are up-and-comers with compelling new reasons to be considered.


Using Amazon Redshift Materialized Views with Looker

Materialized Views (MVs) allow data analysts to store the results of a query as though it were a physical table. This makes MVs a useful and valuable tool for analysts, especially those working in AWS Redshift, because they allow analysts to compute complex metrics at query time with data that has already been aggregated, which can drastically improve query performance.