Operations | Monitoring | ITSM | DevOps | Cloud

May 2023

Reduce MTTR and Address the Talent Gap with Logz.io Alert Recommendations

When our CEO and co-founder Tomer Levy delivered his “Observability is Broken” presentation at last year’s AWS re:Invent, he highlighted numerous challenges faced by today’s organizations as they seek to advance their observability practices. Of the six individual points that he noted, two specifically dealt with the current shortage of available engineering expertise, with another two focused on data overload.

The Quixotic Expedition into the Vastness of Edge Logs, Part 1: Analyzing Numerous Cribl Edge Nodes with Cribl Search

Cribl Search is a powerful tool that is designed to enhance your data search efficiency, irrespective of the location of your data. This blog will explore how this tool seamlessly integrates with numerous Cribl Edge Nodes in real time, simplifying the process of discovery and troubleshooting. An integral part of Cribl Search is the “teleport” feature, which enables users to access specific Edge Nodes for in-depth analysis, simply by clicking on a host field.

From Spotify to Open Source: The Backstory of Backstage

Technology juggernauts–despite their larger staffs and budgets–still face the “cognitive load” for DevOps that many organizations deal with day-to-day. That’s what led Spotify to build Backstage, which supports DevOps and platform engineering practices for the creation of developer portals.

Kubernetes | How to run ElasticSearch, Kafka and Logstash in Kubernetes

How to run ElasticSearch, Kafka, and Logstash in Kubernetes Kubernetes has become one of the best choices for running distributed, big data ingestion microservices such as ElasticSearch, Kafka and Logstash. It provides a great deal of flexibility and resilience that make it the ideal hosting platform for a data pipeline. It's not however without it's pitfalls. Using the DKP Enterprise platform by D2iQ, our EMEA Principal Architect, Dave Whitehouse, gives us his top 5 tips for success using the open source, Day 2 applications that ship with the platform and run straight out of the box.

ChatGPT and Elasticsearch: APM instrumentation, performance, and cost analysis

In a previous blog post, we built a small Python application that queries Elasticsearch using a mix of vector search and BM25 to help find the most relevant results in a proprietary data set. The top hit is then passed to OpenAI, which answers the question for us. In this blog, we will instrument a Python application that uses OpenAI and analyze its performance, as well as the cost to run the application.

Amazon Security Lake & ChaosSearch deliver security analytics with industry-leading cost & unlimited retention

Amazon Security Lake is a new service from Amazon Web Services (AWS) that is designed to help organizations improve their security posture by automating the collection, normalization, and consolidation of security-related log and event data from integrated AWS services and third-party services (Source Partners). By centralizing all the security data in a single location, organizations can gain greater visibility and identify potential threats more quickly.

Top 10+ Best Log Monitoring Tools & Software: Free & Paid [2023 Comparison]

In the rapidly evolving digital landscape companies are facing an increasing number of challenges in maintaining their IT infrastructure, and ensuring application stability. It is critical to stay on top of all the information to ensure the health of the organization and the business side of it. One of the ways to achieve visibility is to use a log monitoring tool to centralize the log data coming from each application and infrastructure element.

What is Applied Observability?

There’s a new term on the technology block: Applied Observability. Gartner estimates that 70% of organizations will successfully adopt applied observability capabilities in coming years. The most common use cases of applied observability will include: But exactly what is applied observability? We’ve got the answers and more here for you to get a full understanding. Read on!

Monitor your firewall logs with Datadog

Firewall systems are critical for protecting your network and devices from unauthorized traffic. There are several types of firewalls that you can deploy for your environment via hardware, software, or the cloud—and they all typically fall under one of two categories: network-based or host-based. Network-based firewalls monitor and filter traffic to and from your network, whereas host-based firewalls manage traffic to and from a specific host, such as a laptop.

Revolutionizing SAP observability: The Elastic-Kyndryl partnership

Across industries and geographies, businesses rely heavily on Systems Applications and Products (SAP) systems. These powerful and versatile systems streamline operations and manage critical data spanning areas like finance, human resources, and supply chain. However, the real-time monitoring of these systems, with an in-depth understanding of performance metrics and quick anomaly detection, is paramount for smooth operations and business continuity. It's here that our unique offering steps in.

Are Your Data Pipelines Up to Commercial Standards?

In the data business, we often refer to the series of steps or processes used to collect, transform, and analyze data as “pipelines.” As a data scientist, I find this analogy fitting, as my concerns around data closely mirror those most people have with water: Where is it coming from? What’s in it? How can we optimize its quality, quantity, and pressure for its intended use? And, crucially, is it leaking anywhere?

Deleting Null or Empty Values

Learn how to use BindPlane in order to delete null or empty values in logs, saving you storage capacity and cost. About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

Data Dictionaries: A Comprehensive Guide

Data dictionaries are an invaluable tool for any data-driven organization, but they can often seem like a complex and daunting task to build. Not only do you need to understand the definition of a data dictionary — you also have to know its components, benefits and how to create one. In this article, we'll cover everything about data dictionaries — from beginning to end — so that you'll have a good foundation of what a data dictionary is for. Read on for a detailed guide!

Maximizing ROI By Reducing Cost of Downstream Observability Platforms With BindPlane OP

When engaging with potential customers, we are often asked “how can we reduce spend on our observability platform like Splunk or Data Dog and simultaneously justify the cost of BindPlane OP?” Let’s dive in and see how the powerful capabilities of BindPlane OP can reduce your total ingest, and get a positive ROI on your BindPlane OP investment.

Everything You Need to Know About Google Cloud Logs

As the affordable choice for cloud computing, Google Cloud Platform (GCP) is catching up to its competitors, like AWS and Microsoft Azure. As a business, you need the speed and scalability that the cloud provides, but you want to limit your costs to ensure you hit revenue targets. With GCP, you found a digital services business partner to help you meet your business objectives, a technology that gives you the service availability you want at the speed you need.

CloudWatch Logs to S3: The Easy Way

Many organizations use Amazon CloudWatch to analyze log data, but find that restrictive CloudWatch log retention issues hold them back from effective troubleshooting and root-cause analysis. As a result, many companies may be looking for effective ways to export CloudWatch logs to S3 automatically. Let’s look at some of the reasons why you might want to export CloudWatch logs to S3 in the first place, along with some Amazon-native and open-source tools to help you with the process.

Coralogix vs. New Relic: Support, Pricing and More

More platform teams owning multi-tenant systems need a full-stack observability solution that aggregates volumes of data into logs, metrics and traces. In tandem, there’s a growing number of major players in the observability industry, including New Relic. This post will compare some key features between Coralogix vs. New Relic. We will also go over what customers are looking for when choosing a complete observability platform.

Unleash the power of Elastic and Amazon Kinesis Data Firehose to enhance observability and data analytics

As more organizations leverage the Amazon Web Services (AWS) cloud platform and services to drive operational efficiency and bring products to market, managing logs becomes a critical component of maintaining visibility and safeguarding multi-account AWS environments. Traditionally, logs are stored in Amazon Simple Storage Service (Amazon S3) and then shipped to an external monitoring and analysis solution for further processing.

Cloud Trends to Watch in 2023: Cloud Cost, Cloud Spend & More

The past few years have seen an incredible rise in cloud computing. Organizations embrace the cloud to address the challenges of an uncertain economy, an increasingly distributed workforce and the pressure to deliver a better employee and customer experience. Gartner experts forecast almost $600 billion in worldwide public cloud spend in 2023. The cloud is no longer an option: nearly 9 out of every 10 IT leaders said it was a “cornerstone” of their digital strategy.

Datadog vs. New Relic: Which One Is Better [2023 Comparison]

Choosing an excellent application performance monitoring tool is a challenging task. Nowadays, there are dozens of instruments, and it can be problematic to pick the right one. However, when looking into every given “top ten list”, New Relic vs. Datadog will always be there. At this point, instead of focusing on dozens of log management tools, let’s focus on some key ones. Comparing New Relic vs. Datadog offers a distinct perspective on how infrastructure monitoring should look.

Datadog vs. Splunk: Which Is the Better Observability Solution [2023 Comparison]

Datadog and Splunk are among the most popular performance monitoring tools available on the market. If you’re looking for such a solution and looking to scratch one off your shortlist, look no further than this article. In this Datadog vs Splunk comparison, we will take a deep dive into everything each tool has to offer. We will point out their similarities and differences to help you decide which tool can meet your needs better.

The Ripple Effect of Meta's $1.3 Billion GDPR Fine for Businesses That Handle Data

Meta, the parent company of Facebook, has been fined a record €1.2 billion ($1.3 billion) by the European Union for violating its data privacy laws. The fine was issued by Ireland’s Data Protection Commission, which is Meta’s lead regulator in the EU, and is the largest ever levied under the EU’s General Data Protection Regulation (GDPR), which went into effect in 2018.

Fast-Growing SaaS Scales Log Analytics with Huge Cost Savings

Transeo is a mobile-friendly platform enabling students, counselors, and administrators to share community service opportunities and hours served — online and in real-time. With one goal in mind, eliminate time-consuming administrative overhead and shift the focus from paperwork to people, Transeo turned to ChaosSearch to help them bring order to the massive quantity of disparate, log data output.

Prometheus vs. Datadog: Key Features & Differences [2023 Comparison]

DevOps teams and security engineers use monitoring tools like Prometheus and Datadog to search for bugs and find any issues that might put an app or the entire IT infrastructure at risk. Better monitoring capabilities and aspects like event monitoring mean users can log data more effectively and engage in data collection leading to data visualization. These actions lead to infrastructure metrics, which allow experts to conduct timely analysis and prevent an app from crashing.

10 Best Datadog Alternatives & Competitors [2023 Comparison]

Several years ago, there was little choice among performance monitoring tools. You had to deal with what the market offers. Datadog is one of the oldest solutions available and, thus, well-known. Yet, it is not without flaws, which might make people look for alternative solutions since the market is booming and new tools emerge regularly.

Administer Your Splunk Cloud Stacks Easily and Efficiently with ACS Helper for Splunk

A little over two years ago, Splunk announced a revolutionary feature that would simplify the life of Splunk Cloud administrators by providing APIs that enable self-management and self-administration of Splunk Cloud Stacks. No more waiting for support tickets to be written, emailed, prioritized and then executed.

Data Aggregation 101: Definition, Uses & Benefits

By 2025, more than 180 zettabytes of data will have been created and captured around the globe. With the influx of data in this digitized world, the process of data aggregation has become an essential tool for businesses. It’s a way to take large amounts of separate data from different sources and combine them into one collective body.

A Place for Everything and Everything in Its Place

With Cribl Stream, our customers are experiencing choice and control over their data that would have been a pipe dream (or maybe I should say a pipeline dream) before. The ability to get the right data to the right destination in the right format is extremely powerful. Stream can optimize the data being sent to expensive destinations; you can remove unnecessary or redundant fields, drop unnecessary events, or even pull valuable metrics from verbose logs. Optimizing your data has a few benefits.

Webinar Recap: Unlocking the Full Value of Telemetry Data

Growth of cloud computing and the preference for data-driven decision-making have led to a steady increase in investments in observability over the years. Telemetry data is recognized as not only critical for maintaining a company’s infrastructure, but also for aiding security and business teams in making informed decisions. However, just increasing investment in observability technology is not enough.

Left, Right, Center: A 3 Step Dance to Success with Building Data Pipelines

Remember the first time you were at a wedding, or a party and you learned about dances like The Electric Slide? You know, those dances with a clear structure and steps to follow, which were a huge help to someone who was slightly challenged on the dance floor, like me? All you had to do was learn a few simple steps, and you could hang with even the best dancers.

SQL vs. NoSQL Today: Databases, Differences & When To Use Which

SQL and NoSQL are two database technologies widely adopted by many organizations for different use cases. Both technologies share the common goal of efficiently processing and managing data. Still, there are some significant differences. This article compares SQL and NoSQL, exploring their key differences in terms of language, structure, scalability, properties and support. We’ll also discuss examples, pros and cons and the most suitable application areas for each database type.

Coralogix Provides Highly Scalable Traces For Your Success

While more observability vendors are providing tracing ingestion and visualization as part of their core service, only Coralogix, the leading in-stream observability platform, supports a set of data optimization features that drive down cost, maximize insights and create a scalable tracing strategy unlike others.

Cribl Stream Production Deployment Guide

Deploying new tools can be challenging for Operations and Security data teams. However, we recently released a reference architecture for Cribl Stream to streamline this process and reduce trial and error. During a live discussion, Cribl's Ed Bailey and Eugene Katz will share a real-life example of how a customer would start the deployment planning process using real-world examples. We will start with requirements and finish with a diagram to help guide a production deployment.

Connect your Lambda Function to Coralogix in 3 CLICKS

Coralogix offers a native layer for AWS Lambda functions, that allows customers to easily export telemetry data from their functions into Coralogix. This integration drastically reduces time to value and connects your lambda function to one of the most sophisticated observability platforms on the market.

Understanding Observability: The Key to Effective System Monitoring

In the rapidly evolving landscape of modern tech, system reliability has become a critical factor for businesses to succeed. To ensure the stability and performance of complex distributed systems, companies are relying on observability—a concept that isn’t synonymous, but instead goes beyond traditional monitoring approaches.

How to reindex your Elasticsearch data

The Elasticsearch reindex API copies data from one index to another. You can use reindex to change the index mapping, copy data to another cluster, or copy only a subset of data to another index. For example, suppose you want to reindex all the data in index1 into index2. In that case, you run the following example in Kibana dev tools: In this article, we dive into some common issues solved by reindexing as well as troubleshooting issues with reindexing itself.

Less is more: industry leaders share their success with tool consolidation for maximized productivity

We’ve known for years that context switching is detrimental to productivity. Both computers and humans become less productive with each additional concurrent task or priority. Every time you need to shift your focus between projects, you lose approximately 20% efficiency as you figure out where you left off, what needs to be done, how the work fits into the project, etc.

6 easy ways to improve your log dashboards with Grafana and Grafana Loki

Because of where you’re reading this post, I’m going to assume you already know that Grafana is a great tool for visualizing and presenting metrics, and persisting them on dashboards. Ever since the Grafana Loki query builder for LogQL was introduced in 2022, it’s been easy to display and visualize logs, too.

Gain insights into Kubernetes errors with Elastic Observability logs and OpenAI

As we’ve shown in previous blogs, Elastic® provides a way to ingest and manage telemetry from the Kubernetes cluster and the application running on it. Elastic provides out-of-the-box dashboards to help with tracking metrics, log management and analytics, APM functionality (which also supports native OpenTelemetry), and the ability to analyze everything with AIOps features and machine learning (ML).

Transport Your Logs to AppSignal with Winston

AppSignal Logging gives you 360-degree insights into your application's performance. To help give you those insights, we wanted to ensure our logging solution allowed you to send AppSignal your logs your way. You can now use Winston transport to send your Node.js application's logs directly to AppSignal and take advantage of having access to all of your application's performance logs and metrics in one place.

A Log's Life Cycle in Coralogix

Coralogix is a full-stack observability platform that effortlessly processes logs, metrics, traces, and security data. More specifically, logs in Coralogix are processed in larger volumes than almost any other observability provider out there, making a log’s life cycle unique. This article will examine the different stages of logs and help you better understand one of the most sophisticated telemetry processing architecture on the market.

Goats on the Road: RSA 2023 Recap

Dr. Anton Chuvakin, a noted warrior/poet/security cybersecurity expert, sums up my thoughts about RSAC 2023 marketing messaging perfectly with this post on Twitter. For those who are new to the vendor hall, the amount of just bad marketing can be overwhelming and confusing. . There’s only one chance to get your message across to your prospects, so make it short and sweet. Anton’s guess of “zero click zero trust” is closer than you think to the truth.

Challenges of observing Kubernetes: Understanding a complex and dynamic system

As technology evolves in the enterprise, oftentimes the processes and tools used to manage it must also evolve. The increased adoption of Kubernetes has become a major inflection point for those of us in the monitoring and management side of the IT operations world. What has worked for decades (traditional infrastructure monitoring) has to be adjusted to the complexity and ephemeral nature of modern distributed systems where Kubernetes has a prime role.

Outputs vs. Outcomes: Understanding the Differences

In both business and project management, two concepts that you need to pay attention to are the outputs and the outcomes. These help you to measure not only the result — but the impact as well. The two measurements go hand-in-hand, but many people focus on only the outputs, missing the bigger picture from the outcomes.

Citizen Developers: How Citizen Development Works & Reduces Dev Shortages

Business applications can be a powerful tool and streamline almost any business process. As a result, many companies and their team members are requesting mobile apps to reduce costs and enhance efficiency. The problem? There aren’t enough developers to build these apps for them. In fact, more than a third of respondents in a recent survey said that recruiting developers will continue to be challenging in 2023.

How Endeavor Streaming Accelerates Metrics with Logz.io

The platform development team at Endeavor Streaming has a critical mission — from balancing operation of the company’s leading digital video platform, at scale, to ensuring everything in their complex cloud environment is performing as expected. Enabling the company to confidently build on top of its platform and continue to evolve their product delivery is thereby also dependent on maintaining detailed visibility into its supporting cloud applications and infrastructure.

Trace your Azure Function application with Elastic Observability

Adoption of Azure Functions in cloud-native applications on Microsoft Azure has been increasing exponentially over the last few years. Serverless functions, such as the Azure Functions, provide a high level of abstraction from the underlying infrastructure and orchestration, given these tasks are managed by the cloud provider. Software development teams can then focus on the implementation of business and application logic.

What Is DPE? Developer Productivity Engineering Explained

In the digital-first business world, developers are under immense pressure to deliver high-quality software in record time. In one survey, 46% of developers reported expectations to build and deploy software faster than pre-COVID. Locked between higher expectations and stalling IT budgets, many developers struggle to keep up with demand. In fact, one study found that 83% of developers were suffering from burnout.

The impact of NWDAF on telco service providers: Embracing vendor agnostic data analytics

Network Data Analytics Function (NWDAF) is a key component in 5G networks, designed to collect, analyze, and deliver valuable insights to service providers. NWDAF provides an unbiased, vendor-vendor agnostic view of the network, expanding telco visibility beyond traditional use cases. As network complexities grow, service providers require unbiased and accurate data to make informed decisions, driving the demand for vendor agnostic data analytics.

There's Nuggets in Them Buckets: How Cribl Search Can Mine Your Observability Lake

Enterprises have enough data, in fact, they are overwhelmed with it, but finding the nuggets of value amongst the data ‘noise’ is not all that simple. It is bucket’d, blob’d, and bestrewn across the enterprise infrastructure in clouds, filesystems, and hosts machines. It’s logs, metrics, traces, config files, and more, but as Jimmy Buffett says, “we’ve all got ’em, we all want ’em, but what do we do with ’em”.

Cribl Earns a Spot on the 5th Annual Enterprise Tech 30 List!

Cribl has been named to the 5th annual Enterprise Tech 30 (ET30) – a definitive list of the most promising, private enterprise tech companies. This is our first time on the ET30 list, ranking number four on the list of ten companies in the late stage category. The recognition highlights the value our innovative products deliver to our customers and partners as we work together to unlock the value of all observability data.

10 Best Practices When Logging in Python

In the eternal hunt for elusive bugs, logging is an indispensable aid. By recording the events and messages that occur during the execution of your program, logging opens the door to unparalleled debugging and performance monitoring capabilities. It all starts with Python’s built-in logging module. However, the true power of Python logging is unlocked not merely by using it, but by mastering it.

The Leading Open Source Dashboard Software

There are many advantages to using dashboards that are powered by open-source technology that make them a compelling choice for many organizations. Below we will discuss some of the major benefits of using dashboards that are built with the help of open-source technology, along with examples of some of the leading use cases for which open-source technology has been utilized.

The leading InfluxDB Dashboard Examples

InfluxDB is a powerful tool for managing time-series data. It is widely used in industries such as IoT, finance, healthcare, and more. Using InfluxDB, you can query and store large amounts of data in real-time, making it easier to identify patterns, trends, and anomalies. InfluxDB dashboards provide a comprehensive overview of your system performance, metrics, and KPIs in real-time. You can customize these dashboards to meet your specific requirements.

Error Logging: A Complete Guide for Beginners

Today's applications are incredibly intricate and interconnected, often relying on numerous third-party services and libraries. With this complexity comes an increased likelihood of things going wrong. However, an error doesn't usually announce itself with great fanfare and a detailed explanation. More often than not, it shows up as an unexplained crash, a suspicious slowdown, or a surprising output. Error logging shines a spotlight on these problems.

How to Reduce the Volume of NGINX Logs

If you’ve worked with NGINX web servers, you know they’re efficient but can generate a lot of log data. While this data is valuable, sorting through it can be a challenge, and the storage and processing costs can quickly add up. This is where BindPlane OP comes in. It helps reduce log volume while still preserving the crucial information. It streamlines your data, filters out the irrelevant bits, and zeroes in on key data points, helping manage storage and keep costs under control.

Head in the Clouds: Data Value and Versatility with Splunk Cloud Platform

Data search and ingestion is cost-effective on the Splunk Cloud Platform. With workload pricing, you can measure the resources or computing capacity needed for different workloads versus the amount of ingested data. Yep, you could say that Splunk Cloud is all that and a bag of chips.

Full Overview: Reducing Web Server Logs (ex.NGINX)

Working with web servers such as NGINX, you know they’re efficient but can generate a lot of log data. While this data is valuable, sorting through it can be a challenge, and the storage and processing costs can quickly add up. In this tutorial, we’ll guide you through refining an NGINX log data stream using BindPlane OP. We’ll dive into how to extract valuable metrics and reduce log volume by filtering out unnecessary logs. By the end of this, you’ll be able to navigate your log analysis process more efficiently, saving time⏳and money💰.

3 Ways to Break Down SaaS Data Silos

Access to data is critical for SaaS companies to understand the state of their applications, and how that state affects customer experience. However, most companies use multiple applications, all of which generate their own independent data. This leads to data silos, or a group of raw data that is accessible to one stakeholder or department and not another.

Overcoming Kubernetes Monitoring Challenges with Observability

At Logz.io, we’re seeing a very fast pace of adoption for Kubernetes–at this point, it’s even outpacing cloud adoption, with companies running on-prem fully adopting Kubernetes in production. Why are companies going in this direction? Kubernetes provides additional layers of abstraction, which helps create business agility and flexibility for deploying critical applications. At the same time, those abstraction layers create additional complexity for observability.

Monitor Your Applications Through New Relic via OpenTelemetry Over HTTP

As a big proponent of open source and all things open, I jumped at the opportunity to expand on Cribl Stream’s OpenTelemetry implementation. I’m happy to report that as of Cribl Stream 4.1, both our OpenTelemetry source and destination now support OTLP over HTTP!

Splunk Wins 24 TrustRadius Top Rated Awards

We're thrilled to announce that our customers are once again showing us big love! Splunk has earned twenty-four 2023 Top Rated Awards from TrustRadius. The Top Rated Awards show that we've provided excellent customer satisfaction, proving our credibility and helping buyers make confident technology decisions. These special recognitions are based entirely on reviews and customer sentiment; there is no paid placement or analyst opinion. It's a big (double-dozen) deal!

Performance Indicators: 12 Types of KPIs & When to Use Them

Indicators can be a powerful tool to measure the success of a business. With the right mix of indicators, you can uncover valuable insights and track progress toward goals. However, knowing which indicators to use and when to use them for the right purpose is crucial to measuring success accurately! In this article we'll explore 12 types of performance indicators, when they should be used and how to use them to measure success. Curious to learn more? I'll share more details below.

How to Choose the Best CDN Monitoring Tool for Your Needs

Rich content like videos and graphics used to cause network congestion and long load times when all the content was stored on a centrally located server. Fortunately, Content Delivery Networks (CDNs) came to the rescue in the late 1990s, letting users load rich content from a location geographically closer to them and reducing load times by distributing a cached version of content across servers worldwide.

The Importance of an API Observability Pipeline for SaaS Tools

Third-party APIs and cloud based software as a service (SaaS) tools have become a cornerstone of modern enterprises. It is essential to monitor log data and optimize API performance. This will ensure that development teams provide the desired advantages to clients and users. To address this challenge, businesses can use an observability pipeline. It is a set of tools and processes that monitor and analyze data from various sources. That includes third-party APIs and SaaS tools.

The Met Office gains valuable data insights to make informed decisions with Elastic

The Met Office, the UK's national weather service, is tasked with predicting the unpredictable - the ever-changing weather patterns that can have a huge impact on people's lives. Having been in the business for over 150 years, they require a reliable and powerful monitoring and insights capability to ensure their systems and processes run optimally.

3 Observability Takeaways from DevOps Pulse 2023

The observability landscape is changing fast, as organizations look to deploy applications and separate themselves from competition at a breakneck pace. What are the trends organizations need to be aware of as they make sense of the landscape? Every year, we at Logz.io set out to answer this question by going right to the DevOps and observability practitioners on the front lines.

New Logz.io Platform Feature: The Home Dashboard

Managing observability data can feel like a juggling act. Modern cloud applications generate vast amounts of data, and quickly accessing the most important data is a fundamental step toward quickly gaining unobstructed visibility into your infrastructure and applications. Yet, when data volumes grow, complexity follows. Many observability users find it overwhelming to assess the critical data generated from their complex infrastructure and applications.

Industry Experts Discuss Cybersecurity Trends and a New Fund to Shape the Future

In this live stream discussion, angel investor Ross Haleliuk joins Cribl’s Ed Bailey to make a big announcement about his new fund to shape the future of the cybersecurity industry. Ross is a big believer in focusing on the security practitioner to provide practical solutions to common issues by making early investments in companies that will promote these values.

How to: Search your logs using query language in AppLogs

Collect, consolidate, index, and search logs to gain actionable insights using Site24x7 AppLogs. Add a log profile and log type to start managing your logs. Run an easy-to-understand query language search to filter out invalid values and obtain actionable results quickly. Learn more about query syntax, structure, and types from the help docs below.

Using AIOps effectively with Elastic Observability

Over the past several years, one topic that has become of increasing importance for DevOps and site reliability engineering (SRE) teams is AIOps. Artificial intelligence for IT Operations (AIOps) is the application of artificial intelligence (AI), machine learning (ML), and analytics to improve the day-to-day operational work for IT operations teams.

Cribl Reference Architecture Series: How SpyCloud Architected its Cribl Stream Deployment

Deploying new tools can be a challenging process for Operations and Security data teams. However, we recently released a reference architecture for Cribl Stream to streamline this process and reduce trial and error. During a live discussion, Cribl's Ed Bailey and SpyCloud's Ryan Sauders will share a real-life example of how a long-time customer utilized this reference architecture to build a scalable deployment. Ryan will explain how this approach enabled SpyCloud to grow alongside its evolving needs, without requiring significant rework.

What Is Prompt Engineering? Strategies for Creating Effective AI Inputs

The release of ChatGPT in November of 2022 elicited excitement from all corners of the internet. It could write code, diagnose patients, ace exams, write books and more — all in a matter of seconds. Yet, many people were left underwhelmed by the results. Inputting “write a blog post about…” resulted in bland and formulaic articles no one wanted to read. The AI doomers could breathe a sigh of relief as it became apparent AI wasn’t coming for tech jobs any time soon.

Simplifying Agent Management

BindPlane OP helps with fleet management in being able to show all of your agents, versions, configs, and amount of data passing through in a single plane. With additional features such as bulk select one can easily manage agents updating all at once.#telemetry #opensource #observability About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

The Platform Engineer Role Explained: Who Is a Platform Engineer?

Poorly designed infrastructure leaves your applications and networks vulnerable to cyberattacks and data breaches. This puts the company at significant risk: the average cost of a data breach reached a record high $4.35 million in 2022. This is where companies bring in platform engineers. A platform engineer is a professional who ensures that security protocols and best practices are in place to protect against potential security threats.

From Silos to Collaboration: How to Democratize Data in Product Analytics

Companies who develop software products generate massive quantities of product performance and user engagement data that can be analyzed to support decision-making about everything from feature planning and UX design to sales, marketing, and customer support.

Deciphering Complex Logs With Regex Using BindPlane OP and OpenTelemetry

Parsing logs with regex is a valuable technique for extracting essential information from large volumes of log data. By employing this method, one can effectively identify patterns, errors, and other key insights, ultimately streamlining log analysis and enhancing system performance.

Strengthen Your Security Strategy to Safeguard Against Migrations Risks

In part 1 of this post, we talked about how Cribl is empowering security functions by giving our customers freedom of choice and control over their data. This post focuses on their experiences and the benefits they are getting from our suite of products. In a past life, I was in charge of security and operational logging at Transunion — around 2015, things started going crazy.

How to use Elasticsearch and Time Series Data Streams for observability metrics

Elasticsearch is used for a wide variety of data types — one of these is metrics. With the introduction of Metricbeat many years ago and later our APM Agents, the metric use case has become more popular. Over the years, Elasticsearch has made many improvements on how to handle things like metrics aggregations and sparse documents. At the same time, TSVB visualizations were introduced to make visualizing metrics easier.

RCA Series: Root Cause Analysis in Observability with Elastic AIOps (2/4)

Root cause analysis empowers you to prevent issues from recurring that were revealed by your monitoring IT systems and online applications including eCommerce sites. See Elastic engineers walk you through applying four AIOps capabilities and accelerate MTTR by automatically categorizing logs, explaining log rate spikes, visually inspecting anomalous components in their context, and correlating slow or failed transactions with potential root causes.

RCA Series: Accelerate security investigations w/ machine learning and Elastic (3/4)

Comprehensive security requires multiple layers of threat protection. Sophisticated threats exploit idiosyncrasies in your environment. Unsupervised machine learning identifies patterns of normal activity from your data, and therefore can catch attacks that standard approaches to threat hunting, such as pre-defined rules, are likely to miss. This video explains how machine learning adds a layer to your threat protection, and how interactive tools offered in the Elastic Security solution accelerate the investigation of security incidents.

RCA Series: Root Cause Analysis in Manufacturing, Electric Grids & Connected Devices (4/4)

With digitization adopted in many industries, real-time data from manufacturing and operational equipment can be used to monitor and optimize operation - by applying data-driven modeling including machine learning. Learn how you can ingest sensor data from industrial processes and operational equipment into Elastic, build monitoring dashboards and set up automated alerts in Kibana, and apply predictive modeling to optimize your operations (OT).

Setting Up a Grafana Destination with BindPlane OP

BindPlane OP makes it easy to route your data to the correct destination. In this example see how we use a metric instance id, an API key, and zone from Grafana to setup the destination and ensure data is flowing.#telemetry #opensource #observability #grafana About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

Unpacking the Hype: Navigating the Complexities of Advanced Data Analytics in Cybersecurity

The cybersecurity industry is experiencing an explosion of innovative tools designed to tackle complex security challenges. However, the hype surrounding these tools has outpaced their actual capabilities, leading many teams to struggle with their complexity and struggle to extract value from their investment.

Empowering Security Teams: The Importance of Data Control and Freedom of Choice

Enterprises are getting increasingly tired of feeling locked into vendors, and rightfully so. As soon as you put your observability data into a SaaS vendors’ storage, it’s now their data, and it’s difficult to get it out or reuse it for other purposes. As a result, strategic independence is becoming increasingly important as organizations decide what data management tools they’re going to invest time and resources into.

How Logz.io Reduced Internal Logs Volume by 50% Using Data Optimization Hub

Cost optimization has been one of the hottest topics in observability (and beyond!) lately. Everyone is striving to be efficient, spend money wisely, and get the most out of every dollar invested. At Logz.io, we recently embarked on a very interesting and fruitful data volume optimization journey, reducing our own internal log volume by a whopping 50%. In this article, I’ll tell you how exactly we achieved this result.

Remote Query Solves the Observability Data Problem

We are caught in a whirlwind of rapid data change. As more engineers, services and sophisticated practices are helping generate an astronomical amount of digital information, there’s a growing challenge of the data explosion. Coralogix offers a completely unique solution to the data problem. Using Coralogix Remote Query, the platform can drive cost savings without sacrificing insights or functionality.

Logging for public sector: How to make the most of your mission-critical data

With governments doubling down on logging compliance, many public sector organizations have been focusing on optimizing their log management, especially to ensure they retain logs for required periods of time. Logs — though seemingly straightforward — are the backbone of many mission-based use cases and therefore have the potential to accelerate mission success when centrally organized and leveraged strategically. In public sector, logs are instrumental in.

Mastering Event Breaking Management with Cribl Stream

Log events come in all sorts of shapes and sizes. Some are delivered as a single event per line. Others are delivered as multi-line structures. Some come in as a stream of data that will need to be parsed out. Still, others come in as an array that should be split into discrete entries. Because Cribl Stream works on events one at a time, we have to ensure we are dealing with discrete events before o11y and security teams can use the information in those events.